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<a name="Functions-and-Variables-for-hompack"></a>
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Previous: <a href="maxima_292.html#Introduction-to-hompack" accesskey="p" rel="previous">Introduction to hompack</a>, Up: <a href="maxima_291.html#hompack_002dpkg" accesskey="u" rel="up">hompack-pkg</a> [<a href="maxima_toc.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>][<a href="maxima_423.html#Function-and-Variable-Index" title="Index" rel="index">Index</a>]</p>
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<a name="Functions-and-Variables-for-hompack-1"></a>
<h3 class="section">65.2 Functions and Variables for hompack</h3>
<a name="hompack_005fpolsys"></a><a name="Item_003a-hompack_002fdeffn_002fhompack_005fpolsys"></a><dl>
<dt><a name="index-hompack_005fpolsys"></a>Function: <strong>hompack_polsys</strong> <em>(<var>eqnlist</var>, <var>varlist</var> [, <var>iflg1</var>, <var>epsbig</var>, <var>epssml</var>, <var>numrr</var>])</em></dt>
<dd><p>Finds the roots of the system of polynomials in the variables
<var>varlist</var> in the system of equations in <var>eqnlist</var>. The number
of equations must match number of variables. Each equation must be a
polynomial with variables in <var>varlist</var>. The coefficients must be
real numbers.
</p>
<p>The optional keyword arguments provide some control over the
algorithm.
</p>
<dl compact="compact">
<dt><code>epsbig</code></dt>
<dd><p>is the local error tolerance allowed by the
path tracker, defaulting to 1e-4.
</p></dd>
<dt><code>epssml</code></dt>
<dd><p>is the accuracy
desired for the final solution, defaulting to 1d-14.
</p></dd>
<dt><code>numrr</code></dt>
<dd><p>is the number of multiples of 1000 steps that will be tried
before abandoning a path, defaulting to 10.
</p></dd>
<dt><code>iflg1</code></dt>
<dd><p>defaulting to 0, controls the algorithm as follows:
</p><dl compact="compact">
<dt><code>0</code></dt>
<dd><p>If the problem is to be solved without calling <code>polsys</code>’ scaling
routine, <code>sclgnp</code>, and without using the projective
transformation.
</p></dd>
<dt><code>1</code></dt>
<dd><p>If scaling but no projective transformation is to be used.
</p></dd>
<dt><code>10</code></dt>
<dd><p>If no scaling but projective transformation is to be used.
</p></dd>
<dt><code>11</code></dt>
<dd><p>If both scaling and projective transformation are to be used.
</p></dd>
</dl>
</dd>
</dl>
<p><code>hompack_polsys</code> returns a list. The elements of the list are:
</p><dl compact="compact">
<dt><code>retcode</code></dt>
<dd><p>Indicates whether the solution is valid or not.
</p><dl compact="compact">
<dt><code>0</code></dt>
<dd><p>Solution found without problems
</p></dd>
<dt><code>1</code></dt>
<dd><p>Solution succeeded but <code>iflg2</code> indicates some issues with a
root. (That is, <code>iflg2</code> is not all ones.)
</p></dd>
<dt><code>-1</code></dt>
<dd><p><code>NN</code>, the declared dimension of the number of terms in the
polynomials, is too small. (This should not happen.)
</p></dd>
<dt><code>-2</code></dt>
<dd><p><code>MMAXT</code>, the declared dimension for the internal coefficient and
degree arrays, is too small. (This should not happen.)
</p></dd>
<dt><code>-3</code></dt>
<dd><p><code>TTOTDG</code>, the total degree of the equations, is too small.
(This should not happen.)
</p></dd>
<dt><code>-4</code></dt>
<dd><p><code>LENWK</code>, the length of the internal real work array, is too
small. (This should not happen.)
</p></dd>
<dt><code>-5</code></dt>
<dd><p><code>LENIWK</code>, the length of the internal integer work array, is too
small. (This should not happen.)
</p></dd>
<dt><code>-6</code></dt>
<dd><p><var>iflg1</var> is not 0 or 1, or 10 or 11. (This should not happen; an
error should be thrown before <code>polsys</code> is called.)
</p></dd>
</dl>
</dd>
<dt><code>roots</code></dt>
<dd><p>The roots of the system of equations. This is in the same format as
<code>solve</code> would return.
</p></dd>
<dt><code>iflg2</code></dt>
<dd><p>A list containing information on how the path for the m’th root terminated:
</p><dl compact="compact">
<dt><code>1</code></dt>
<dd><p>Normal return
</p></dd>
<dt><code>2</code></dt>
<dd><p>Specified error tolerance cannot be met. Increase <var>epsbig</var> and
<var>epssml</var> and rerun.
</p></dd>
<dt><code>3</code></dt>
<dd><p>Maximum number of steps exceeded. To track the path further, increase
<var>numrr</var> and rerun the path. However, the path may be diverging, if the
lambda value is near 1 and the roots values are large.
</p></dd>
<dt><code>4</code></dt>
<dd><p>Jacobian matrix does not have full rank. The algorithm has failed
(the zero curve of the homotopy map cannot be followed any further).
</p></dd>
<dt><code>5</code></dt>
<dd><p>The tracking algorithm has lost the zero curve of the homotopy map and
is not making progress. The error tolerances <var>epsbig</var> and
<var>epssml</var> were too lenient. The problem should be restarted with
smaller error tolerances.
</p></dd>
<dt><code>6</code></dt>
<dd><p>The normal flow newton iteration in <code>stepnf</code> or <code>rootnf</code>
failed to converge. The error tolerance <var>epsbig</var> may be too
stringent.
</p></dd>
<dt><code>7</code></dt>
<dd><p>Illegal input parameters, a fatal error.
</p></dd>
</dl>
</dd>
<dt><code>lambda</code></dt>
<dd><p>A list of the final lambda value for the m-th root, where lambda is the
continuation parameter.
</p></dd>
<dt><code>arclen</code></dt>
<dd><p>A list of the arc length of the m-th root.
</p></dd>
<dt><code>nfe</code></dt>
<dd><p>A list of the number of jacobian matrix evaluations required to track the m-th
root.
</p></dd>
</dl>
<p>Here are some examples of using <code>hompack_polsys</code>.
</p><div class="example">
<pre class="example">(%i1) load(hompack)$
(%i2) hompack_polsys([x1^2-1, x2^2-2],[x1,x2]);
(%o2) [0,
[[x1 = (-1.354505666901954e-16*%i)-0.9999999999999999,
x2 = 3.52147935979316e-16*%i-1.414213562373095],
[x1 = 1.0-5.536432658639868e-18*%i,
x2 = (-4.213674137126362e-17*%i)-1.414213562373095],
[x1 = (-9.475939894034927e-17*%i)-1.0,
x2 = 2.669654624736742e-16*%i+1.414213562373095],
[x1 = 9.921253413273088e-18*%i+1.0,
x2 = 1.414213562373095-5.305667769855424e-17*%i]],[1,1,1,1],
[1.0,1.0,0.9999999999999996,1.0],
[4.612623769341193,4.612623010859902,4.612623872939383,
4.612623114484402],[40,40,40,40]]
</pre></div>
<p>The analytical solution can be obtained with solve:
</p><div class="example">
<pre class="example">(%i1) solve([x1^2-1, x2^2-2],[x1,x2]);
(%o1) [[x1 = 1,x2 = -sqrt(2)],[x1 = 1,x2 = sqrt(2)],[x1 = -1,x2 = -sqrt(2)],
[x1 = -1,x2 = sqrt(2)]]
</pre></div>
<p>We see that <code>hompack_polsys</code> returned the correct answer except
that the roots are in a different order and there is a small imaginary
part.
</p>
<p>Another example, with corresponding solution from solve:
</p><div class="example">
<pre class="example">(%i1) hompack_polsys([x1^2 + 2*x2^2 + x1*x2 - 5, 2*x1^2 + x2^2 + x2-4],[x1,x2]);
(%o1) [0,
[[x1 = 1.201557301700783-1.004786320788336e-15*%i,
x2 = (-4.376615092392437e-16*%i)-1.667270363480143],
[x1 = 1.871959754090949e-16*%i-1.428529189565313,
x2 = (-6.301586314393093e-17*%i)-0.9106199083334113],
[x1 = 0.5920619420732697-1.942890293094024e-16*%i,
x2 = 6.938893903907228e-17*%i+1.383859154368197],
[x1 = 7.363503717463654e-17*%i+0.08945540033671608,
x2 = 1.557667481081721-4.109128293931921e-17*%i]],[1,1,1,1],
[1.000000000000001,1.0,1.0,1.0],
[6.205795654034752,7.722213259390295,7.228287079174351,
5.611474283583368],[35,41,48,40]]
(%i2) solve([x1^2+2*x2^2+x1*x2 - 5, 2*x1^2+x2^2+x2-4],[x1,x2]);
(%o2) [[x1 = 0.08945540336850383,x2 = 1.557667386609071],
[x1 = 0.5920619554695062,x2 = 1.383859286083807],
[x1 = 1.201557352500749,x2 = -1.66727025803531],
[x1 = -1.428529150636283,x2 = -0.9106198942815954]]
</pre></div>
<p>Note that <code>hompack_polsys</code> can sometimes be very slow. Perhaps
<code>solve</code> can be used. Or perhaps <code>eliminate</code> can be used to
convert the system of polynomials into one polynomial for which
<code>allroots</code> can find all the roots.
</p>
<div class=categorybox>
Categories:<a href="maxima_424.html#Category_003a-Package-hompack">Package hompack</a>
·</div>
</dd></dl>
<hr>
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