NeurApp 1.1
NeurApp - software for exploring approximation by artificial neural networks on functions of one or two variables.
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Approximator function of 2 variables that is based on a general approximator function of vector argument. More...
Public Member Functions | |
Func2dFromApproximator (INeuralApproximator originalFunction) | |
Constructs a approximator function of 2 variables from the specified approximator function of a vector argument. | |
override double | Value (double x, double y) |
override void | Gradient (double x, double y, out double gradx, out double grady) |
override void | Hessian (double x, double y, out double dxx, out double dyy, out double dxy) |
Protected Member Functions | |
Func2dFromApproximator () | |
Properties | |
INeuralApproximator | OriginalFunction [get, set] |
Approximator function of vector argument that is used for evaluation of the current function value, gradient, and Hessian. | |
Private Attributes | |
INeuralApproximator | _originalFunction |
Approximator function of 2 variables that is based on a general approximator function of vector argument.
$A Igor Oct11, Tako78 Nov23;
IG::Neural::Func2dFromApproximator::Func2dFromApproximator | ( | ) | [inline, protected] |
IG::Neural::Func2dFromApproximator::Func2dFromApproximator | ( | INeuralApproximator | originalFunction | ) | [inline] |
Constructs a approximator function of 2 variables from the specified approximator function of a vector argument.
scalarFunction | Original approximator function of vector argument used for evaluation. |
override double IG::Neural::Func2dFromApproximator::Value | ( | double | x, |
double | y | ||
) | [inline] |
override void IG::Neural::Func2dFromApproximator::Gradient | ( | double | x, |
double | y, | ||
out double | gradx, | ||
out double | grady | ||
) | [inline] |
override void IG::Neural::Func2dFromApproximator::Hessian | ( | double | x, |
double | y, | ||
out double | dxx, | ||
out double | dyy, | ||
out double | dxy | ||
) | [inline] |
INeuralApproximator IG::Neural::Func2dFromApproximator::OriginalFunction [get, set] |
Approximator function of vector argument that is used for evaluation of the current function value, gradient, and Hessian.