Package | Description |
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com.imsl.math |
Mathematical functions and algorithms.
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com.imsl.stat |
Statistical methods.
|
com.imsl.test.example.math |
Math examples.
|
Constructor and Description |
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SVD(double[][] a)
Construct the singular value decomposition of a rectangular matrix with
default tolerance.
|
SVD(double[][] a,
double tol)
Construct the singular value decomposition of a rectangular matrix with a given tolerance.
|
Modifier and Type | Method and Description |
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double[][] |
CategoricalGenLinModel.getHessian()
Returns the Hessian computed at the initial parameter estimates.
|
double[] |
CategoricalGenLinModel.getProduct()
Returns the inverse of the Hessian times the gradient vector computed at
the input parameter estimates.
|
double[][] |
CategoricalGenLinModel.solve()
Returns the parameter estimates and associated statistics for a
CategoricalGenLinModel object.
|
Modifier and Type | Method and Description |
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static void |
SVDEx1.main(String[] args) |
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