| IMultiVariableDMinimizerMinimize(MultiVariableFunction, MultiVariableFunction, DoubleVector) Method |
Note: This API is now obsolete.
Minimizes the given function near the given starting point, using the
given array of partial derivatives.
Namespace: CenterSpace.NMath.CoreAssembly: NMath (in NMath.dll) Version: 7.4
Syntax [ObsoleteAttribute("This method is obsolete. Call method Minimize( DoubleFunctional f, DoubleVector x )")]
DoubleVector Minimize(
MultiVariableFunction f,
MultiVariableFunction[] df,
DoubleVector x
)
<ObsoleteAttribute("This method is obsolete. Call method Minimize( DoubleFunctional f, DoubleVector x )")>
Function Minimize (
f As MultiVariableFunction,
df As MultiVariableFunction(),
x As DoubleVector
) As DoubleVector
[ObsoleteAttribute(L"This method is obsolete. Call method Minimize( DoubleFunctional f, DoubleVector x )")]
DoubleVector^ Minimize(
MultiVariableFunction^ f,
array<MultiVariableFunction^>^ df,
DoubleVector^ x
)
[<ObsoleteAttribute("This method is obsolete. Call method Minimize( DoubleFunctional f, DoubleVector x )")>]
abstract Minimize :
f : MultiVariableFunction *
df : MultiVariableFunction[] *
x : DoubleVector -> DoubleVector
Parameters
- f MultiVariableFunction
- The function to minimize.
- df MultiVariableFunction
- The partial derivatives of f.
- x DoubleVector
- A starting point.
Return Value
DoubleVector
The local minimum of
function near the point,
x.
Remarks
Iteration stops when either the estimated error is less
than the tolerance, or the maximum number of iterations is reached.
Setting the error tolerance to less than zero ensures that the maximum number
of iterations is always reached.
See Also