File: t_ProjectionStrategy_std.expout

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+ Compute flood model using least squares
leastSquaresStrategy
ProjectionStrategyImplementation
- coefficients: dimension=0
- residual: 0
- relative error: 0
- measure: Distribution
- weighted experiment: WeightedExperiment
- input sample: size= 0 x dimension= 0
- output sample: size= 0 x dimension= 0
- weights: dimension= 0
- design: size= 0

leastSquaresStrategy (repr)
class=LeastSquaresStrategy experiment=class=MonteCarloExperiment name=Unnamed distribution=class=Uniform name=Uniform dimension=1 a=-1 b=1 size=100
leastSquaresStrategy (html)
ProjectionStrategyImplementation
<ul>
  <li>coefficients: dimension=0</li>
  <li>residual: 0</li>
  <li>relative error: 0</li>
  <li>measure: Distribution</li>
  <li>weighted experiment: WeightedExperiment</li>
  <li>input sample: size= 0 x dimension= 0</li>
  <li>output sample: size= 0 x dimension= 0</li>
  <li>weights: dimension= 0</li>
  <li>design: size= 0</li>
<ul>

projectionStrategy
ProjectionStrategyImplementation
- coefficients: dimension=0
- residual: 0
- relative error: 0
- measure: Distribution
- weighted experiment: WeightedExperiment
- input sample: size= 500 x dimension= 8
- output sample: size= 500 x dimension= 3
- weights: dimension= 500
- design: size= 0

projectionStrategy (repr)
class=ProjectionStrategy implementation=class=LeastSquaresStrategy experiment=class=FixedExperiment name=Unnamed sample=class=Sample name=JointDistribution implementation=class=SampleImplementation name=JointDistribution size=500 dimension=8 description=[Q (m3/s),Ks,Zv (m),...,L (m),Zb (m),Hd (m)] data=[[1443.6,30.1566,49.1171,...,5002.72,55.5801,2.08154],[2174.89,34.6789,50.7649,...,5002.74,55.5136,3.59624],[626.102,35.7535,50.0302,...,5007.26,55.6321,3.34553],...,[836.836,23.3944,49.5782,...,4996.53,55.6402,2.05131],[1106.6,24.1196,49.2248,...,5000.34,55.4947,2.28622],[254.926,32.4175,50.7184,...,5000.25,55.3506,3.59815]] weights=class=Point name=Unnamed dimension=500 values=[0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002]
projectionStrategy (html)
ProjectionStrategyImplementation
<ul>
  <li>coefficients: dimension=0</li>
  <li>residual: 0</li>
  <li>relative error: 0</li>
  <li>measure: Distribution</li>
  <li>weighted experiment: WeightedExperiment</li>
  <li>input sample: size= 500 x dimension= 8</li>
  <li>output sample: size= 500 x dimension= 3</li>
  <li>weights: dimension= 500</li>
  <li>design: size= 0</li>
<ul>

+ Compute flood model by integration
integrationStrategy
ProjectionStrategyImplementation
- coefficients: dimension=0
- residual: 0
- relative error: 0
- measure: Distribution
- weighted experiment: WeightedExperiment
- input sample: size= 0 x dimension= 0
- output sample: size= 0 x dimension= 0
- weights: dimension= 0
- design: size= 0

integrationStrategy (repr)
class=IntegrationStrategy experiment=class=MonteCarloExperiment name=Unnamed distribution=class=Uniform name=Uniform dimension=1 a=-1 b=1 size=100
integrationStrategy (html)
ProjectionStrategyImplementation
<ul>
  <li>coefficients: dimension=0</li>
  <li>residual: 0</li>
  <li>relative error: 0</li>
  <li>measure: Distribution</li>
  <li>weighted experiment: WeightedExperiment</li>
  <li>input sample: size= 0 x dimension= 0</li>
  <li>output sample: size= 0 x dimension= 0</li>
  <li>weights: dimension= 0</li>
  <li>design: size= 0</li>
<ul>

projectionStrategy
ProjectionStrategyImplementation
- coefficients: dimension=0
- residual: 0
- relative error: 0
- measure: Distribution
- weighted experiment: WeightedExperiment
- input sample: size= 500 x dimension= 8
- output sample: size= 500 x dimension= 3
- weights: dimension= 500
- design: size= 0

projectionStrategy (repr)
class=ProjectionStrategy implementation=class=IntegrationStrategy experiment=class=FixedExperiment name=Unnamed sample=class=Sample name=JointDistribution implementation=class=SampleImplementation name=JointDistribution size=500 dimension=8 description=[Q (m3/s),Ks,Zv (m),...,L (m),Zb (m),Hd (m)] data=[[1443.6,30.1566,49.1171,...,5002.72,55.5801,2.08154],[2174.89,34.6789,50.7649,...,5002.74,55.5136,3.59624],[626.102,35.7535,50.0302,...,5007.26,55.6321,3.34553],...,[836.836,23.3944,49.5782,...,4996.53,55.6402,2.05131],[1106.6,24.1196,49.2248,...,5000.34,55.4947,2.28622],[254.926,32.4175,50.7184,...,5000.25,55.3506,3.59815]] weights=class=Point name=Unnamed dimension=500 values=[0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002]
projectionStrategy (html)
ProjectionStrategyImplementation
<ul>
  <li>coefficients: dimension=0</li>
  <li>residual: 0</li>
  <li>relative error: 0</li>
  <li>measure: Distribution</li>
  <li>weighted experiment: WeightedExperiment</li>
  <li>input sample: size= 500 x dimension= 8</li>
  <li>output sample: size= 500 x dimension= 3</li>
  <li>weights: dimension= 500</li>
  <li>design: size= 0</li>
<ul>

+ Compute flood model with large output dimension
leastSquaresStrategy
ProjectionStrategyImplementation
- coefficients: dimension=0
- residual: 0
- relative error: 0
- measure: Distribution
- weighted experiment: WeightedExperiment
- input sample: size= 0 x dimension= 0
- output sample: size= 0 x dimension= 0
- weights: dimension= 0
- design: size= 0

leastSquaresStrategy (repr)
class=LeastSquaresStrategy experiment=class=MonteCarloExperiment name=Unnamed distribution=class=Uniform name=Uniform dimension=1 a=-1 b=1 size=100
ProjectionStrategyImplementation
<ul>
  <li>coefficients: dimension=0</li>
  <li>residual: 0</li>
  <li>relative error: 0</li>
  <li>measure: Distribution</li>
  <li>weighted experiment: WeightedExperiment</li>
  <li>input sample: size= 0 x dimension= 0</li>
  <li>output sample: size= 0 x dimension= 0</li>
  <li>weights: dimension= 0</li>
  <li>design: size= 0</li>
<ul>

projectionStrategy
ProjectionStrategyImplementation
- coefficients: dimension=0
- residual: 0
- relative error: 0
- measure: Distribution
- weighted experiment: WeightedExperiment
- input sample: size= 500 x dimension= 8
- output sample: size= 500 x dimension= 60
- weights: dimension= 500
- design: size= 0

projectionStrategy (repr)
class=ProjectionStrategy implementation=class=LeastSquaresStrategy experiment=class=FixedExperiment name=Unnamed sample=class=Sample name=JointDistribution implementation=class=SampleImplementation name=JointDistribution size=500 dimension=8 description=[Q (m3/s),Ks,Zv (m),...,L (m),Zb (m),Hd (m)] data=[[820.271,23.2,50.4528,...,4994.89,55.4783,3.05292],[540.375,42.75,49.9978,...,4996.9,55.382,2.13825],[935.563,42.9997,49.154,...,4999.73,55.4223,3.81733],...,[897.745,19.5361,49.8581,...,4998.49,55.2181,2.47724],[1821.55,37.4041,49.9464,...,4998.83,55.465,2.63402],[1878.15,34.5136,50.0565,...,5006.41,55.6371,2.29336]] weights=class=Point name=Unnamed dimension=500 values=[0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.002]
projectionStrategy (html)
ProjectionStrategyImplementation
<ul>
  <li>coefficients: dimension=0</li>
  <li>residual: 0</li>
  <li>relative error: 0</li>
  <li>measure: Distribution</li>
  <li>weighted experiment: WeightedExperiment</li>
  <li>input sample: size= 500 x dimension= 8</li>
  <li>output sample: size= 500 x dimension= 60</li>
  <li>weights: dimension= 500</li>
  <li>design: size= 0</li>
<ul>