NonlinearLS Properties |
The NonlinearLS type exposes the following members.
Name | Description | |
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FinalResidual |
The final residual.
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InitialResidual |
The initial residual.
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InitialStepBound |
Positive input variable used in determining the initial step bound.
In most cases the factor should lie within the interval (0.1, 100.0).
The generally recommended value is 100.
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IterationsDone |
The number of iterations have been done after the algorithm terminated.
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JacobiMatrixPrecision |
The precision of the Jacobi matrix calculation.
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JacobiMatrixTolerance |
The tolerance for determining that Jacobi matrix is singular.
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LowerBound |
Contains lower bounds for x.
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MinimumPoint |
The minimum point found.
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ResidualDecreaseTolerance |
The tolerance (lower bound) for objective function (residual) decrease.
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ResidualTolerance |
The tolerance for Euclidean norm of residuals.
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StopCriterion |
The index of stop-criterion of the trust-region algorithm.
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TrialStepIterationLimit |
Maximum number of iterations to use for trial step calculation.
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TrialStepPrecision |
Trial step precision.
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TrialStepTolerance |
The tolerance for step length.
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TrustRegionAreaBound |
The upper bound for trust region area.
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TrustRegionIterationLimit |
Maximum number of iterations to use in trust-region algorithm.
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UpperBound |
Contains upper bounds for x.
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