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<div class="title">MarketModels.cpp</div> </div>
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<div class="contents">
<p>This example shows the use of interest-rate market models.</p>
<div class="fragment"><div class="line"><span class="comment">/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */</span></div>
<div class="line"> </div>
<div class="line"><span class="preprocessor">#include <ql/qldefines.hpp></span></div>
<div class="line"><span class="preprocessor">#ifdef BOOST_MSVC</span></div>
<div class="line"><span class="preprocessor"># include <ql/auto_link.hpp></span></div>
<div class="line"><span class="preprocessor">#endif</span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/marketmodel.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/accountingengine.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/pathwiseaccountingengine.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/products/multiproductcomposite.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/products/multistep/multistepswap.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/products/multistep/callspecifiedmultiproduct.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/products/multistep/exerciseadapter.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/products/multistep/multistepnothing.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/products/multistep/multistepinversefloater.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/products/pathwise/pathwiseproductswap.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/products/pathwise/pathwiseproductinversefloater.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/products/pathwise/pathwiseproductcallspecified.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/models/flatvol.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/callability/swapratetrigger.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/callability/swapbasissystem.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/callability/swapforwardbasissystem.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/callability/nothingexercisevalue.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/callability/collectnodedata.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/callability/lsstrategy.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/callability/upperboundengine.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/correlations/expcorrelations.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/browniangenerators/mtbrowniangenerator.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/browniangenerators/sobolbrowniangenerator.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/evolvers/lognormalfwdratepc.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/evolvers/lognormalfwdrateeuler.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/pathwisegreeks/bumpinstrumentjacobian.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/models/marketmodels/utilities.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/methods/montecarlo/genericlsregression.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/legacy/libormarketmodels/lmlinexpcorrmodel.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/legacy/libormarketmodels/lmextlinexpvolmodel.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/time/schedule.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/time/calendars/nullcalendar.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/time/daycounters/simpledaycounter.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/pricingengines/blackformula.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/pricingengines/blackcalculator.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/utilities/dataformatters.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/math/integrals/segmentintegral.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/math/statistics/convergencestatistics.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/termstructures/volatility/abcd.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/termstructures/volatility/abcdcalibration.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/math/functional.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/math/optimization/simplex.hpp></span></div>
<div class="line"><span class="preprocessor">#include <ql/quotes/simplequote.hpp></span></div>
<div class="line"><span class="preprocessor">#include <sstream></span></div>
<div class="line"><span class="preprocessor">#include <iostream></span></div>
<div class="line"><span class="preprocessor">#include <ctime></span></div>
<div class="line"> </div>
<div class="line"><span class="keyword">using namespace </span><a class="code" href="namespace_quant_lib.html">QuantLib</a>;</div>
<div class="line"> </div>
<div class="line"><span class="preprocessor">#if defined(QL_ENABLE_SESSIONS)</span></div>
<div class="line"><span class="keyword">namespace </span><a class="code" href="namespace_quant_lib.html">QuantLib</a> {</div>
<div class="line"> </div>
<div class="line"> ThreadKey sessionId() { <span class="keywordflow">return</span> 0; }</div>
<div class="line"> </div>
<div class="line">}</div>
<div class="line"><span class="preprocessor">#endif</span></div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line">std::vector<std::vector<Matrix> ></div>
<div class="line">theVegaBumps(<span class="keywordtype">bool</span> factorwiseBumping, <span class="keyword">const</span> ext::shared_ptr<MarketModel>& marketModel, <span class="keywordtype">bool</span> doCaps) {</div>
<div class="line"> <a name="a0"></a><a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> multiplierCutOff = 50.0;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> projectionTolerance = 1E-4;</div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> numberRates= marketModel->numberOfRates();</div>
<div class="line"> </div>
<div class="line"> std::vector<VolatilityBumpInstrumentJacobian::Cap> caps;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (doCaps)</div>
<div class="line"> {</div>
<div class="line"> </div>
<div class="line"> <a name="a1"></a><a class="code" href="group__types.html#gaede435af51236692b1107d7639581d39" title="interest rates">Rate</a> capStrike = marketModel->initialRates()[0];</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=0; i< numberRates-1; i=i+1)</div>
<div class="line"> {</div>
<div class="line"> VolatilityBumpInstrumentJacobian::Cap nextCap;</div>
<div class="line"> nextCap.startIndex_ = i;</div>
<div class="line"> nextCap.endIndex_ = i+1;</div>
<div class="line"> nextCap.strike_ = capStrike;</div>
<div class="line"> caps.push_back(nextCap);</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> std::vector<VolatilityBumpInstrumentJacobian::Swaption> swaptions(numberRates);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=0; i < numberRates; ++i)</div>
<div class="line"> {</div>
<div class="line"> swaptions[i].startIndex_ = i;</div>
<div class="line"> swaptions[i].endIndex_ = numberRates;</div>
<div class="line"> </div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <a name="_a2"></a><a class="code" href="class_quant_lib_1_1_vega_bump_collection.html">VegaBumpCollection</a> possibleBumps(marketModel,</div>
<div class="line"> factorwiseBumping);</div>
<div class="line"> </div>
<div class="line"> <a name="_a3"></a><a class="code" href="class_quant_lib_1_1_orthogonalized_bump_finder.html">OrthogonalizedBumpFinder</a> bumpFinder(possibleBumps,</div>
<div class="line"> swaptions,</div>
<div class="line"> caps,</div>
<div class="line"> multiplierCutOff, <span class="comment">// if vector length grows by more than this discard</span></div>
<div class="line"> projectionTolerance); <span class="comment">// if vector projection before scaling less than this discard</span></div>
<div class="line"> </div>
<div class="line"> std::vector<std::vector<Matrix> > theBumps;</div>
<div class="line"> </div>
<div class="line"> bumpFinder.GetVegaBumps(theBumps);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">return</span> theBumps;</div>
<div class="line"> </div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">int</span> Bermudan()</div>
<div class="line">{</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> numberRates =20;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> accrual = 0.5;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> firstTime = 0.5;</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> std::vector<Real> rateTimes(numberRates+1);</div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=0; i < rateTimes.size(); ++i)</div>
<div class="line"> rateTimes[i] = firstTime + i*accrual;</div>
<div class="line"> </div>
<div class="line"> std::vector<Real> paymentTimes(numberRates);</div>
<div class="line"> std::vector<Real> accruals(numberRates,accrual);</div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=0; i < paymentTimes.size(); ++i)</div>
<div class="line"> paymentTimes[i] = firstTime + (i+1)*accrual;</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> fixedRate = 0.05;</div>
<div class="line"> std::vector<Real> strikes(numberRates,fixedRate);</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> receive = -1.0;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// 0. a payer swap</span></div>
<div class="line"> MultiStepSwap payerSwap(rateTimes, accruals, accruals, paymentTimes,</div>
<div class="line"> fixedRate, <span class="keyword">true</span>);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// 1. the equivalent receiver swap</span></div>
<div class="line"> MultiStepSwap receiverSwap(rateTimes, accruals, accruals, paymentTimes,</div>
<div class="line"> fixedRate, <span class="keyword">false</span>);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">//exercise schedule, we can exercise on any rate time except the last one</span></div>
<div class="line"> std::vector<Rate> exerciseTimes(rateTimes);</div>
<div class="line"> exerciseTimes.pop_back();</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// naive exercise strategy, exercise above a trigger level</span></div>
<div class="line"> std::vector<Rate> swapTriggers(exerciseTimes.size(), fixedRate);</div>
<div class="line"> SwapRateTrigger naifStrategy(rateTimes, swapTriggers, exerciseTimes);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Longstaff-Schwartz exercise strategy</span></div>
<div class="line"> std::vector<std::vector<NodeData> > collectedData;</div>
<div class="line"> std::vector<std::vector<Real> > basisCoefficients;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// control that does nothing, need it because some control is expected</span></div>
<div class="line"> NothingExerciseValue control(rateTimes);</div>
<div class="line"> </div>
<div class="line"><span class="comment">// SwapForwardBasisSystem basisSystem(rateTimes,exerciseTimes);</span></div>
<div class="line"> SwapBasisSystem basisSystem(rateTimes,exerciseTimes);</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">// rebate that does nothing, need it because some rebate is expected</span></div>
<div class="line"> <span class="comment">// when you break a swap nothing happens.</span></div>
<div class="line"> NothingExerciseValue nullRebate(rateTimes);</div>
<div class="line"> </div>
<div class="line"> CallSpecifiedMultiProduct dummyProduct =</div>
<div class="line"> CallSpecifiedMultiProduct(receiverSwap, naifStrategy,</div>
<div class="line"> ExerciseAdapter(nullRebate));</div>
<div class="line"> </div>
<div class="line"> <span class="keyword">const</span> <a name="_a4"></a><a class="code" href="class_quant_lib_1_1_evolution_description.html" title="Market-model evolution description.">EvolutionDescription</a>& evolution = dummyProduct.evolution();</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">// parameters for models</span></div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> seed = 12332; <span class="comment">// for Sobol generator</span></div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> trainingPaths = 65536;</div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> paths = 16384;</div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> vegaPaths = 16384*64;</div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">"training paths, "</span> << trainingPaths << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">"paths, "</span> << paths << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">"vega Paths, "</span> << vegaPaths << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><span class="preprocessor">#ifdef _DEBUG</span></div>
<div class="line"> trainingPaths = 512;</div>
<div class="line"> paths = 1024;</div>
<div class="line"> vegaPaths = 1024;</div>
<div class="line"><span class="preprocessor">#endif</span></div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">// set up a calibration, this would typically be done by using a calibrator</span></div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> rateLevel =0.05;</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> initialNumeraireValue = 0.95;</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> volLevel = 0.11;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> beta = 0.2;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> gamma = 1.0;</div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> numberOfFactors = std::min<Size>(5,numberRates);</div>
<div class="line"> </div>
<div class="line"> <a name="a5"></a><a class="code" href="group__types.html#gae7427f4743503002b0c6eeeefae91a3d" title="spreads on interest rates">Spread</a> displacementLevel =0.02;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// set up vectors</span></div>
<div class="line"> std::vector<Rate> initialRates(numberRates,rateLevel);</div>
<div class="line"> std::vector<Volatility> volatilities(numberRates, volLevel);</div>
<div class="line"> std::vector<Spread> displacements(numberRates, displacementLevel);</div>
<div class="line"> </div>
<div class="line"> ExponentialForwardCorrelation correlations(</div>
<div class="line"> rateTimes,volLevel, beta,gamma);</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> FlatVol calibration(</div>
<div class="line"> volatilities,</div>
<div class="line"> ext::shared_ptr<PiecewiseConstantCorrelation>(<span class="keyword">new</span> ExponentialForwardCorrelation(correlations)),</div>
<div class="line"> evolution,</div>
<div class="line"> numberOfFactors,</div>
<div class="line"> initialRates,</div>
<div class="line"> displacements);</div>
<div class="line"> </div>
<div class="line"> ext::shared_ptr<MarketModel> marketModel(<span class="keyword">new</span> FlatVol(calibration));</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// we use a factory since there is data that will only be known later</span></div>
<div class="line"> SobolBrownianGeneratorFactory generatorFactory(</div>
<div class="line"> <a name="a6"></a><a class="code" href="class_quant_lib_1_1_sobol_brownian_generator.html#a0248f65bd948236b9f656ce6c5d65355a1672896c50dec2b32ed9117cff36c49d">SobolBrownianGenerator::Diagonal</a>, seed);</div>
<div class="line"> </div>
<div class="line"> std::vector<Size> numeraires( <a name="a7"></a><a class="code" href="namespace_quant_lib.html#af24aad2f8747c6408f6eb603b82d3189">moneyMarketMeasure</a>(evolution));</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// the evolver will actually evolve the rates</span></div>
<div class="line"> <a name="_a8"></a><a class="code" href="class_quant_lib_1_1_log_normal_fwd_rate_pc.html" title="Predictor-Corrector.">LogNormalFwdRatePc</a> evolver(marketModel,</div>
<div class="line"> generatorFactory,</div>
<div class="line"> numeraires <span class="comment">// numeraires for each step</span></div>
<div class="line"> );</div>
<div class="line"> </div>
<div class="line"> ext::shared_ptr<MarketModelEvolver> evolverPtr(<span class="keyword">new</span> <a class="code" href="class_quant_lib_1_1_log_normal_fwd_rate_pc.html" title="Predictor-Corrector.">LogNormalFwdRatePc</a>(evolver));</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">int</span> t1= clock();</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// gather data before computing exercise strategy</span></div>
<div class="line"> collectNodeData(evolver,</div>
<div class="line"> receiverSwap,</div>
<div class="line"> basisSystem,</div>
<div class="line"> nullRebate,</div>
<div class="line"> control,</div>
<div class="line"> trainingPaths,</div>
<div class="line"> collectedData);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">int</span> t2 = clock();</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">// calculate the exercise strategy's coefficients</span></div>
<div class="line"> <a name="a9"></a><a class="code" href="namespace_quant_lib.html#a1eb8f30fb584a6d2b39c7ea348e2a48e" title="returns the biased estimate obtained while regressing">genericLongstaffSchwartzRegression</a>(collectedData,</div>
<div class="line"> basisCoefficients);</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">// turn the coefficients into an exercise strategy</span></div>
<div class="line"> LongstaffSchwartzExerciseStrategy exerciseStrategy(</div>
<div class="line"> basisSystem, basisCoefficients,</div>
<div class="line"> evolution, numeraires,</div>
<div class="line"> nullRebate, control);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// bermudan swaption to enter into the payer swap</span></div>
<div class="line"> CallSpecifiedMultiProduct bermudanProduct =</div>
<div class="line"> CallSpecifiedMultiProduct(</div>
<div class="line"> MultiStepNothing(evolution),</div>
<div class="line"> exerciseStrategy, payerSwap);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// callable receiver swap</span></div>
<div class="line"> CallSpecifiedMultiProduct callableProduct =</div>
<div class="line"> CallSpecifiedMultiProduct(</div>
<div class="line"> receiverSwap, exerciseStrategy,</div>
<div class="line"> ExerciseAdapter(nullRebate));</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// lower bound: evolve all 4 products togheter</span></div>
<div class="line"> <a name="_a10"></a><a class="code" href="class_quant_lib_1_1_multi_product_composite.html" title="Composition of one or more market-model products.">MultiProductComposite</a> allProducts;</div>
<div class="line"> allProducts.<a name="a11"></a>add(payerSwap);</div>
<div class="line"> allProducts.add(receiverSwap);</div>
<div class="line"> allProducts.add(bermudanProduct);</div>
<div class="line"> allProducts.add(callableProduct);</div>
<div class="line"> allProducts.<a name="a12"></a>finalize();</div>
<div class="line"> </div>
<div class="line"> <a name="_a13"></a><a class="code" href="class_quant_lib_1_1_accounting_engine.html" title="Engine collecting cash flows along a market-model simulation.">AccountingEngine</a> accounter(evolverPtr,</div>
<div class="line"> <a name="_a14"></a><a class="code" href="class_quant_lib_1_1_clone.html" title="cloning proxy to an underlying object">Clone<MarketModelMultiProduct></a>(allProducts),</div>
<div class="line"> initialNumeraireValue);</div>
<div class="line"> </div>
<div class="line"> <a name="_a15"></a><a class="code" href="class_quant_lib_1_1_generic_sequence_statistics.html" title="Statistics analysis of N-dimensional (sequence) data.">SequenceStatisticsInc</a> stats;</div>
<div class="line"> </div>
<div class="line"> accounter.multiplePathValues (stats,paths);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">int</span> t3 = clock();</div>
<div class="line"> </div>
<div class="line"> std::vector<Real> means(stats.<a name="a16"></a>mean());</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=0; i < means.size(); ++i)</div>
<div class="line"> std::cout << means[i] << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">" time to build strategy, "</span> << (t2-t1)/<span class="keyword">static_cast<</span><a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a><span class="keyword">></span>(CLOCKS_PER_SEC)<< <span class="stringliteral">", seconds.\n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">" time to price, "</span> << (t3-t2)/<span class="keyword">static_cast<</span><a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a><span class="keyword">></span>(CLOCKS_PER_SEC)<< <span class="stringliteral">", seconds.\n"</span>;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// vegas</span></div>
<div class="line"> </div>
<div class="line"> <span class="comment">// do it twice once with factorwise bumping, once without</span></div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> pathsToDoVegas = vegaPaths;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=0; i < 4; ++i)</div>
<div class="line"> {</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">bool</span> allowFactorwiseBumping = i % 2 > 0 ;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">bool</span> doCaps = i / 2 > 0 ;</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <a name="_a17"></a><a class="code" href="class_quant_lib_1_1_log_normal_fwd_rate_euler.html" title="Euler.">LogNormalFwdRateEuler</a> evolverEuler(marketModel,</div>
<div class="line"> generatorFactory,</div>
<div class="line"> numeraires</div>
<div class="line"> ) ;</div>
<div class="line"> </div>
<div class="line"> <a name="_a18"></a><a class="code" href="class_quant_lib_1_1_market_model_pathwise_swap.html">MarketModelPathwiseSwap</a> receiverPathwiseSwap( rateTimes,</div>
<div class="line"> accruals,</div>
<div class="line"> strikes,</div>
<div class="line"> receive);</div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_clone.html" title="cloning proxy to an underlying object">Clone<MarketModelPathwiseMultiProduct></a> receiverPathwiseSwapPtr(receiverPathwiseSwap.clone());</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// callable receiver swap</span></div>
<div class="line"> CallSpecifiedPathwiseMultiProduct callableProductPathwise(receiverPathwiseSwapPtr,</div>
<div class="line"> exerciseStrategy);</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_clone.html" title="cloning proxy to an underlying object">Clone<MarketModelPathwiseMultiProduct></a> callableProductPathwisePtr(callableProductPathwise.clone());</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> std::vector<std::vector<Matrix> > theBumps(theVegaBumps(allowFactorwiseBumping,</div>
<div class="line"> marketModel,</div>
<div class="line"> doCaps));</div>
<div class="line"> </div>
<div class="line"> <a name="_a19"></a><a class="code" href="class_quant_lib_1_1_pathwise_vegas_outer_accounting_engine.html" title="Engine collecting cash flows along a market-model simulation for doing pathwise computation of Deltas...">PathwiseVegasOuterAccountingEngine</a></div>
<div class="line"> accountingEngineVegas(ext::make_shared<LogNormalFwdRateEuler>(evolverEuler),</div>
<div class="line"> callableProductPathwisePtr,</div>
<div class="line"> marketModel,</div>
<div class="line"> theBumps,</div>
<div class="line"> initialNumeraireValue);</div>
<div class="line"> </div>
<div class="line"> std::vector<Real> values,errors;</div>
<div class="line"> </div>
<div class="line"> accountingEngineVegas.multiplePathValues(values,errors,pathsToDoVegas);</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">"vega output \n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">" factorwise bumping "</span> << allowFactorwiseBumping << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">" doCaps "</span> << doCaps << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> r=0;</div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">" price estimate, "</span> << values[r++] << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=0; i < numberRates; ++i, ++r)</div>
<div class="line"> std::cout << <span class="stringliteral">" Delta, "</span> << i << <span class="stringliteral">", "</span> << values[r] << <span class="stringliteral">", "</span> << errors[r] << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> totalVega = 0.0;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (; r < values.size(); ++r)</div>
<div class="line"> {</div>
<div class="line"> std::cout << <span class="stringliteral">" vega, "</span> << r - 1 - numberRates<< <span class="stringliteral">", "</span> << values[r] << <span class="stringliteral">" ,"</span> << errors[r] << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> totalVega += values[r];</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">" total Vega, "</span> << totalVega << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// upper bound</span></div>
<div class="line"> </div>
<div class="line"> MTBrownianGeneratorFactory uFactory(seed+142);</div>
<div class="line"> </div>
<div class="line"> ext::shared_ptr<MarketModelEvolver> upperEvolver(<span class="keyword">new</span> <a class="code" href="class_quant_lib_1_1_log_normal_fwd_rate_pc.html" title="Predictor-Corrector.">LogNormalFwdRatePc</a>( ext::shared_ptr<MarketModel>(<span class="keyword">new</span> FlatVol(calibration)),</div>
<div class="line"> uFactory,</div>
<div class="line"> numeraires <span class="comment">// numeraires for each step</span></div>
<div class="line"> ));</div>
<div class="line"> </div>
<div class="line"> std::vector<ext::shared_ptr<MarketModelEvolver> > innerEvolvers;</div>
<div class="line"> </div>
<div class="line"> std::valarray<bool> isExerciseTime = <a name="a20"></a><a class="code" href="namespace_quant_lib.html#a31c249efdc699edbc48571eef8fee228">isInSubset</a>(evolution.<a name="a21"></a>evolutionTimes(), exerciseStrategy.exerciseTimes());</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> s=0; s < isExerciseTime.size(); ++s)</div>
<div class="line"> {</div>
<div class="line"> <span class="keywordflow">if</span> (isExerciseTime[s])</div>
<div class="line"> {</div>
<div class="line"> MTBrownianGeneratorFactory iFactory(seed+s);</div>
<div class="line"> ext::shared_ptr<MarketModelEvolver> e =ext::shared_ptr<MarketModelEvolver> (<span class="keyword">static_cast<</span><a name="_a22"></a><a class="code" href="class_quant_lib_1_1_market_model_evolver.html" title="Market-model evolver.">MarketModelEvolver</a>*<span class="keyword">></span>(<span class="keyword">new</span> <a class="code" href="class_quant_lib_1_1_log_normal_fwd_rate_pc.html" title="Predictor-Corrector.">LogNormalFwdRatePc</a>(ext::shared_ptr<MarketModel>(<span class="keyword">new</span> FlatVol(calibration)),</div>
<div class="line"> uFactory,</div>
<div class="line"> numeraires , <span class="comment">// numeraires for each step</span></div>
<div class="line"> s)));</div>
<div class="line"> </div>
<div class="line"> innerEvolvers.push_back(e);</div>
<div class="line"> }</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <a name="_a23"></a><a class="code" href="class_quant_lib_1_1_upper_bound_engine.html" title="Market-model engine for upper-bound estimation.">UpperBoundEngine</a> uEngine(upperEvolver, <span class="comment">// does outer paths</span></div>
<div class="line"> innerEvolvers, <span class="comment">// for sub-simulations that do continuation values</span></div>
<div class="line"> receiverSwap,</div>
<div class="line"> nullRebate,</div>
<div class="line"> receiverSwap,</div>
<div class="line"> nullRebate,</div>
<div class="line"> exerciseStrategy,</div>
<div class="line"> initialNumeraireValue);</div>
<div class="line"> </div>
<div class="line"> <a name="_a24"></a><a class="code" href="class_quant_lib_1_1_generic_risk_statistics.html" title="empirical-distribution risk measures">Statistics</a> uStats;</div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> innerPaths = 255;</div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> outerPaths =256;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">int</span> t4 = clock();</div>
<div class="line"> </div>
<div class="line"> uEngine.multiplePathValues(uStats,outerPaths,innerPaths);</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> upperBound = uStats.mean();</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> upperSE = uStats.errorEstimate();</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">int</span> t5=clock();</div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">" Upper - lower is, "</span> << upperBound << <span class="stringliteral">", with standard error "</span> << upperSE << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">" time to compute upper bound is, "</span> << (t5-t4)/<span class="keyword">static_cast<</span><a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a><span class="keyword">></span>(CLOCKS_PER_SEC) << <span class="stringliteral">", seconds.\n"</span>;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">return</span> 0;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">int</span> InverseFloater(<a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> rateLevel)</div>
<div class="line">{</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> numberRates =20;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> accrual = 0.5;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> firstTime = 0.5;</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> strike =0.15;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> fixedMultiplier = 2.0;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> floatingSpread =0.0;</div>
<div class="line"> <span class="keywordtype">bool</span> payer = <span class="keyword">true</span>;</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> std::vector<Real> rateTimes(numberRates+1);</div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=0; i < rateTimes.size(); ++i)</div>
<div class="line"> rateTimes[i] = firstTime + i*accrual;</div>
<div class="line"> </div>
<div class="line"> std::vector<Real> paymentTimes(numberRates);</div>
<div class="line"> std::vector<Real> accruals(numberRates,accrual);</div>
<div class="line"> std::vector<Real> fixedStrikes(numberRates,strike);</div>
<div class="line"> std::vector<Real> floatingSpreads(numberRates,floatingSpread);</div>
<div class="line"> std::vector<Real> fixedMultipliers(numberRates,fixedMultiplier);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=0; i < paymentTimes.size(); ++i)</div>
<div class="line"> paymentTimes[i] = firstTime + (i+1)*accrual;</div>
<div class="line"> </div>
<div class="line"> MultiStepInverseFloater inverseFloater(</div>
<div class="line"> rateTimes,</div>
<div class="line"> accruals,</div>
<div class="line"> accruals,</div>
<div class="line"> fixedStrikes,</div>
<div class="line"> fixedMultipliers,</div>
<div class="line"> floatingSpreads,</div>
<div class="line"> paymentTimes,</div>
<div class="line"> payer);</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">//exercise schedule, we can exercise on any rate time except the last one</span></div>
<div class="line"> std::vector<Rate> exerciseTimes(rateTimes);</div>
<div class="line"> exerciseTimes.pop_back();</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// naive exercise strategy, exercise above a trigger level</span></div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> trigger =0.05;</div>
<div class="line"> std::vector<Rate> swapTriggers(exerciseTimes.size(), trigger);</div>
<div class="line"> SwapRateTrigger naifStrategy(rateTimes, swapTriggers, exerciseTimes);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Longstaff-Schwartz exercise strategy</span></div>
<div class="line"> std::vector<std::vector<NodeData> > collectedData;</div>
<div class="line"> std::vector<std::vector<Real> > basisCoefficients;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// control that does nothing, need it because some control is expected</span></div>
<div class="line"> NothingExerciseValue control(rateTimes);</div>
<div class="line"> </div>
<div class="line"> SwapForwardBasisSystem basisSystem(rateTimes,exerciseTimes);</div>
<div class="line"><span class="comment">// SwapBasisSystem basisSystem(rateTimes,exerciseTimes);</span></div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">// rebate that does nothing, need it because some rebate is expected</span></div>
<div class="line"> <span class="comment">// when you break a swap nothing happens.</span></div>
<div class="line"> NothingExerciseValue nullRebate(rateTimes);</div>
<div class="line"> </div>
<div class="line"> CallSpecifiedMultiProduct dummyProduct =</div>
<div class="line"> CallSpecifiedMultiProduct(inverseFloater, naifStrategy,</div>
<div class="line"> ExerciseAdapter(nullRebate));</div>
<div class="line"> </div>
<div class="line"> <span class="keyword">const</span> <a class="code" href="class_quant_lib_1_1_evolution_description.html" title="Market-model evolution description.">EvolutionDescription</a>& evolution = dummyProduct.evolution();</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">// parameters for models</span></div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> seed = 12332; <span class="comment">// for Sobol generator</span></div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> trainingPaths = 65536;</div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> paths = 65536;</div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> vegaPaths =16384;</div>
<div class="line"> </div>
<div class="line"><span class="preprocessor">#ifdef _DEBUG</span></div>
<div class="line"> trainingPaths = 8192;</div>
<div class="line"> paths = 8192;</div>
<div class="line"> vegaPaths = 1024;</div>
<div class="line"><span class="preprocessor">#endif</span></div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">" inverse floater \n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">" fixed strikes : "</span> << strike << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">" number rates : "</span> << numberRates << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">"training paths, "</span> << trainingPaths << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">"paths, "</span> << paths << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">"vega Paths, "</span> << vegaPaths << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">// set up a calibration, this would typically be done by using a calibrator</span></div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">//Real rateLevel =0.08;</span></div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">" rate level "</span> << rateLevel << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> initialNumeraireValue = 0.95;</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> volLevel = 0.11;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> beta = 0.2;</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> gamma = 1.0;</div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> numberOfFactors = std::min<Size>(5,numberRates);</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#gae7427f4743503002b0c6eeeefae91a3d" title="spreads on interest rates">Spread</a> displacementLevel =0.02;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// set up vectors</span></div>
<div class="line"> std::vector<Rate> initialRates(numberRates,rateLevel);</div>
<div class="line"> std::vector<Volatility> volatilities(numberRates, volLevel);</div>
<div class="line"> std::vector<Spread> displacements(numberRates, displacementLevel);</div>
<div class="line"> </div>
<div class="line"> ExponentialForwardCorrelation correlations(</div>
<div class="line"> rateTimes,volLevel, beta,gamma);</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> FlatVol calibration(</div>
<div class="line"> volatilities,</div>
<div class="line"> ext::shared_ptr<PiecewiseConstantCorrelation>(<span class="keyword">new</span> ExponentialForwardCorrelation(correlations)),</div>
<div class="line"> evolution,</div>
<div class="line"> numberOfFactors,</div>
<div class="line"> initialRates,</div>
<div class="line"> displacements);</div>
<div class="line"> </div>
<div class="line"> ext::shared_ptr<MarketModel> marketModel(<span class="keyword">new</span> FlatVol(calibration));</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// we use a factory since there is data that will only be known later</span></div>
<div class="line"> SobolBrownianGeneratorFactory generatorFactory(</div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_sobol_brownian_generator.html#a0248f65bd948236b9f656ce6c5d65355a1672896c50dec2b32ed9117cff36c49d">SobolBrownianGenerator::Diagonal</a>, seed);</div>
<div class="line"> </div>
<div class="line"> std::vector<Size> numeraires( <a class="code" href="namespace_quant_lib.html#af24aad2f8747c6408f6eb603b82d3189">moneyMarketMeasure</a>(evolution));</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// the evolver will actually evolve the rates</span></div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_log_normal_fwd_rate_pc.html" title="Predictor-Corrector.">LogNormalFwdRatePc</a> evolver(marketModel,</div>
<div class="line"> generatorFactory,</div>
<div class="line"> numeraires <span class="comment">// numeraires for each step</span></div>
<div class="line"> );</div>
<div class="line"> </div>
<div class="line"> ext::shared_ptr<MarketModelEvolver> evolverPtr(<span class="keyword">new</span> <a class="code" href="class_quant_lib_1_1_log_normal_fwd_rate_pc.html" title="Predictor-Corrector.">LogNormalFwdRatePc</a>(evolver));</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">int</span> t1= clock();</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// gather data before computing exercise strategy</span></div>
<div class="line"> collectNodeData(evolver,</div>
<div class="line"> inverseFloater,</div>
<div class="line"> basisSystem,</div>
<div class="line"> nullRebate,</div>
<div class="line"> control,</div>
<div class="line"> trainingPaths,</div>
<div class="line"> collectedData);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">int</span> t2 = clock();</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">// calculate the exercise strategy's coefficients</span></div>
<div class="line"> <a class="code" href="namespace_quant_lib.html#a1eb8f30fb584a6d2b39c7ea348e2a48e" title="returns the biased estimate obtained while regressing">genericLongstaffSchwartzRegression</a>(collectedData,</div>
<div class="line"> basisCoefficients);</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">// turn the coefficients into an exercise strategy</span></div>
<div class="line"> LongstaffSchwartzExerciseStrategy exerciseStrategy(</div>
<div class="line"> basisSystem, basisCoefficients,</div>
<div class="line"> evolution, numeraires,</div>
<div class="line"> nullRebate, control);</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="comment">// callable receiver swap</span></div>
<div class="line"> CallSpecifiedMultiProduct callableProduct =</div>
<div class="line"> CallSpecifiedMultiProduct(</div>
<div class="line"> inverseFloater, exerciseStrategy,</div>
<div class="line"> ExerciseAdapter(nullRebate));</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_multi_product_composite.html" title="Composition of one or more market-model products.">MultiProductComposite</a> allProducts;</div>
<div class="line"> allProducts.add(inverseFloater);</div>
<div class="line"> allProducts.add(callableProduct);</div>
<div class="line"> allProducts.finalize();</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_accounting_engine.html" title="Engine collecting cash flows along a market-model simulation.">AccountingEngine</a> accounter(evolverPtr,</div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_clone.html" title="cloning proxy to an underlying object">Clone<MarketModelMultiProduct></a>(allProducts),</div>
<div class="line"> initialNumeraireValue);</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_generic_sequence_statistics.html" title="Statistics analysis of N-dimensional (sequence) data.">SequenceStatisticsInc</a> stats;</div>
<div class="line"> </div>
<div class="line"> accounter.multiplePathValues (stats,paths);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">int</span> t3 = clock();</div>
<div class="line"> </div>
<div class="line"> std::vector<Real> means(stats.mean());</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=0; i < means.size(); ++i)</div>
<div class="line"> std::cout << means[i] << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">" time to build strategy, "</span> << (t2-t1)/<span class="keyword">static_cast<</span><a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a><span class="keyword">></span>(CLOCKS_PER_SEC)<< <span class="stringliteral">", seconds.\n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">" time to price, "</span> << (t3-t2)/<span class="keyword">static_cast<</span><a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a><span class="keyword">></span>(CLOCKS_PER_SEC)<< <span class="stringliteral">", seconds.\n"</span>;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// vegas</span></div>
<div class="line"> </div>
<div class="line"> <span class="comment">// do it twice once with factorwise bumping, once without</span></div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> pathsToDoVegas = vegaPaths;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=0; i < 4; ++i)</div>
<div class="line"> {</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">bool</span> allowFactorwiseBumping = i % 2 > 0 ;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">bool</span> doCaps = i / 2 > 0 ;</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_log_normal_fwd_rate_euler.html" title="Euler.">LogNormalFwdRateEuler</a> evolverEuler(marketModel,</div>
<div class="line"> generatorFactory,</div>
<div class="line"> numeraires</div>
<div class="line"> ) ;</div>
<div class="line"> </div>
<div class="line"> <a name="_a25"></a><a class="code" href="class_quant_lib_1_1_market_model_pathwise_inverse_floater.html">MarketModelPathwiseInverseFloater</a> pathwiseInverseFloater(</div>
<div class="line"> rateTimes,</div>
<div class="line"> accruals,</div>
<div class="line"> accruals,</div>
<div class="line"> fixedStrikes,</div>
<div class="line"> fixedMultipliers,</div>
<div class="line"> floatingSpreads,</div>
<div class="line"> paymentTimes,</div>
<div class="line"> payer);</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_clone.html" title="cloning proxy to an underlying object">Clone<MarketModelPathwiseMultiProduct></a> pathwiseInverseFloaterPtr(pathwiseInverseFloater.clone());</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// callable inverse floater</span></div>
<div class="line"> CallSpecifiedPathwiseMultiProduct callableProductPathwise(pathwiseInverseFloaterPtr,</div>
<div class="line"> exerciseStrategy);</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_clone.html" title="cloning proxy to an underlying object">Clone<MarketModelPathwiseMultiProduct></a> callableProductPathwisePtr(callableProductPathwise.clone());</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> std::vector<std::vector<Matrix> > theBumps(theVegaBumps(allowFactorwiseBumping,</div>
<div class="line"> marketModel,</div>
<div class="line"> doCaps));</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_pathwise_vegas_outer_accounting_engine.html" title="Engine collecting cash flows along a market-model simulation for doing pathwise computation of Deltas...">PathwiseVegasOuterAccountingEngine</a></div>
<div class="line"> accountingEngineVegas(ext::make_shared<LogNormalFwdRateEuler>(evolverEuler),</div>
<div class="line"> <span class="comment">// pathwiseInverseFloaterPtr,</span></div>
<div class="line"> callableProductPathwisePtr,</div>
<div class="line"> marketModel,</div>
<div class="line"> theBumps,</div>
<div class="line"> initialNumeraireValue);</div>
<div class="line"> </div>
<div class="line"> std::vector<Real> values,errors;</div>
<div class="line"> </div>
<div class="line"> accountingEngineVegas.multiplePathValues(values,errors,pathsToDoVegas);</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">"vega output \n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">" factorwise bumping "</span> << allowFactorwiseBumping << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">" doCaps "</span> << doCaps << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> r=0;</div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">" price estimate, "</span> << values[r++] << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=0; i < numberRates; ++i, ++r)</div>
<div class="line"> std::cout << <span class="stringliteral">" Delta, "</span> << i << <span class="stringliteral">", "</span> << values[r] << <span class="stringliteral">", "</span> << errors[r] << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> totalVega = 0.0;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (; r < values.size(); ++r)</div>
<div class="line"> {</div>
<div class="line"> std::cout << <span class="stringliteral">" vega, "</span> << r - 1 - numberRates<< <span class="stringliteral">", "</span> << values[r] << <span class="stringliteral">" ,"</span> << errors[r] << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> totalVega += values[r];</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">" total Vega, "</span> << totalVega << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// upper bound</span></div>
<div class="line"> </div>
<div class="line"> MTBrownianGeneratorFactory uFactory(seed+142);</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> ext::shared_ptr<MarketModelEvolver> upperEvolver(<span class="keyword">new</span> <a class="code" href="class_quant_lib_1_1_log_normal_fwd_rate_pc.html" title="Predictor-Corrector.">LogNormalFwdRatePc</a>( ext::shared_ptr<MarketModel>(<span class="keyword">new</span> FlatVol(calibration)),</div>
<div class="line"> uFactory,</div>
<div class="line"> numeraires <span class="comment">// numeraires for each step</span></div>
<div class="line"> ));</div>
<div class="line"> </div>
<div class="line"> std::vector<ext::shared_ptr<MarketModelEvolver> > innerEvolvers;</div>
<div class="line"> </div>
<div class="line"> std::valarray<bool> isExerciseTime = <a class="code" href="namespace_quant_lib.html#a31c249efdc699edbc48571eef8fee228">isInSubset</a>(evolution.evolutionTimes(), exerciseStrategy.exerciseTimes());</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> s=0; s < isExerciseTime.size(); ++s)</div>
<div class="line"> {</div>
<div class="line"> <span class="keywordflow">if</span> (isExerciseTime[s])</div>
<div class="line"> {</div>
<div class="line"> MTBrownianGeneratorFactory iFactory(seed+s);</div>
<div class="line"> ext::shared_ptr<MarketModelEvolver> e =ext::shared_ptr<MarketModelEvolver> (<span class="keyword">static_cast<</span><a class="code" href="class_quant_lib_1_1_market_model_evolver.html" title="Market-model evolver.">MarketModelEvolver</a>*<span class="keyword">></span>(<span class="keyword">new</span> <a class="code" href="class_quant_lib_1_1_log_normal_fwd_rate_pc.html" title="Predictor-Corrector.">LogNormalFwdRatePc</a>(ext::shared_ptr<MarketModel>(<span class="keyword">new</span> FlatVol(calibration)),</div>
<div class="line"> uFactory,</div>
<div class="line"> numeraires , <span class="comment">// numeraires for each step</span></div>
<div class="line"> s)));</div>
<div class="line"> </div>
<div class="line"> innerEvolvers.push_back(e);</div>
<div class="line"> }</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_upper_bound_engine.html" title="Market-model engine for upper-bound estimation.">UpperBoundEngine</a> uEngine(upperEvolver, <span class="comment">// does outer paths</span></div>
<div class="line"> innerEvolvers, <span class="comment">// for sub-simulations that do continuation values</span></div>
<div class="line"> inverseFloater,</div>
<div class="line"> nullRebate,</div>
<div class="line"> inverseFloater,</div>
<div class="line"> nullRebate,</div>
<div class="line"> exerciseStrategy,</div>
<div class="line"> initialNumeraireValue);</div>
<div class="line"> </div>
<div class="line"> <a class="code" href="class_quant_lib_1_1_generic_risk_statistics.html" title="empirical-distribution risk measures">Statistics</a> uStats;</div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> innerPaths = 255;</div>
<div class="line"> <a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> outerPaths =256;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">int</span> t4 = clock();</div>
<div class="line"> </div>
<div class="line"> uEngine.multiplePathValues(uStats,outerPaths,innerPaths);</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> upperBound = uStats.mean();</div>
<div class="line"> <a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a> upperSE = uStats.errorEstimate();</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">int</span> t5=clock();</div>
<div class="line"> </div>
<div class="line"> std::cout << <span class="stringliteral">" Upper - lower is, "</span> << upperBound << <span class="stringliteral">", with standard error "</span> << upperSE << <span class="stringliteral">"\n"</span>;</div>
<div class="line"> std::cout << <span class="stringliteral">" time to compute upper bound is, "</span> << (t5-t4)/<span class="keyword">static_cast<</span><a class="code" href="group__types.html#ga4bdf4bfe76b9ffa6fa64c47d8bfa0c78" title="real number">Real</a><span class="keyword">></span>(CLOCKS_PER_SEC) << <span class="stringliteral">", seconds.\n"</span>;</div>
<div class="line"> </div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">return</span> 0;</div>
<div class="line"> </div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">int</span> main()</div>
<div class="line">{</div>
<div class="line"> <span class="keywordflow">try</span> {</div>
<div class="line"> <span class="keywordflow">for</span> (<a class="code" href="group__types.html#gaf38bdb4c54463b1f456655efa95b5c77" title="size of a container">Size</a> i=5; i < 10; ++i)</div>
<div class="line"> InverseFloater(i/100.0);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">return</span> 0;</div>
<div class="line"> } <span class="keywordflow">catch</span> (std::exception& e) {</div>
<div class="line"> std::cerr << e.what() << std::endl;</div>
<div class="line"> <span class="keywordflow">return</span> 1;</div>
<div class="line"> } <span class="keywordflow">catch</span> (...) {</div>
<div class="line"> std::cerr << <span class="stringliteral">"unknown error"</span> << std::endl;</div>
<div class="line"> <span class="keywordflow">return</span> 1;</div>
<div class="line"> }</div>
<div class="line">}</div>
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