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The public members of the TMtxOptimization class are listed here.

 
Name 
Description 
 
Returns the inverse of Hessian matrix. 
 
Returns number of optimization algorithm iterations. 
 
Stores value of the objective function, evaluated at minimum. 
 
Name 
Description 
 
Triggers TMtxOptimization recalculation. 
 
Define any additional Object constant parameters in the RealFunction
 
Name 
Description 
 
Becomes true after any of the properties have changed. 
 
Defines the gradient vector and Hessian matrix calculation routine. 
 
Defines the gradient vector calculation routine. 
 
Defines the function to be minimized. 
 
Stop reason for optimization algorithm. 
 
If not nil then the optimization method uses it for logging each optimization step. 
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