Package | Description |
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com.imsl.math |
Mathematical functions and algorithms.
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com.imsl.stat.distributions |
Probability distributions and parameter estimation.
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Modifier and Type | Method and Description |
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double[] |
MinConNLP.solve(MinConNLP.Function F)
Solve a general nonlinear programming problem using the successive
quadratic programming algorithm with a finite-difference gradient or
with a user-supplied gradient.
|
Modifier and Type | Method and Description |
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void |
MaximumLikelihoodEstimation.compute()
Computes the maximum likelihood estimates.
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void |
MaximumLikelihoodEstimation.compute(MaximumLikelihoodEstimation.OptimizationMethod optMethod)
Computes the maximum likelihood estimates with the specified optimization
method.
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