Package | Description |
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agi.foundation.numericalmethods |
Contains general numerical algorithms.
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agi.foundation.numericalmethods.advanced |
Contains additional advanced numerical algorithms and supporting types.
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Modifier and Type | Method and Description |
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LineSearchSettings |
MultivariableFunctionDifferentialSolver.getLineSearchSettings()
Gets or sets an optional property that can be used to specify tolerances, convergence criteria, and maximum iterations
for a line search that is used to find the optimal feasible step in the same direction as the computed step.
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LineSearchSettings |
ActiveSetSequentialQuadraticProgrammingOptimizer.getLineSearchSettings()
Gets an optional property that can be used to specify tolerances, convergence criteria, and maximum iterations
for a line search that uses
GoldenSectionFindExtremum to find the optimal feasible step in the same
direction as the computed step. |
Modifier and Type | Method and Description |
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void |
MultivariableFunctionDifferentialSolver.setLineSearchSettings(LineSearchSettings value)
Gets or sets an optional property that can be used to specify tolerances, convergence criteria, and maximum iterations
for a line search that is used to find the optimal feasible step in the same direction as the computed step.
|
void |
ActiveSetSequentialQuadraticProgrammingOptimizer.setLineSearchSettings(LineSearchSettings value)
Sets an optional property that can be used to specify tolerances, convergence criteria, and maximum iterations
for a line search that uses
GoldenSectionFindExtremum to find the optimal feasible step in the same
direction as the computed step. |
Constructor and Description |
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LineSearchSettings(LineSearchSettings existingInstance,
CopyContext context)
Initializes a new instance as a copy of an existing instance.
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