The published members of the TMtxOptimization class are listed here.
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Name |
Description |
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Automatic recalculation. | |
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set/read the additional constants used in minimized function. | |
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The precision for numeric gradient and/or Hessian matrix calculation. | |
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Initial lambda step used in Marquardt optimization algorithm. | |
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maximum number of iterations allowed for minimum search. | |
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Defines which gradient numerical approximation method will be used to to evaluate gradient. | |
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Optimization algorithm used for minimum search. | |
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Internal line search algorithm. | |
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Precision. | |
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Set/read the variables in minimized function. |
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