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NumOptimiseDescentC::NumOptimiseDescentC(UIntT,RealT)
NumOptimiseC::CastHandleOptimise(void) const
NumOptimiseC::Copy(void) const
NumOptimiseC::operator=(const NumOptimiseC &)
NumOptimiseC::MinimalX(const NumCostC &)
NumOptimiseC::MaximalX(const NumCostC &)
NumOptimiseC::GetInfo(void) const
NumOptimiseC::GetName(void) const
NumOptimiseC::Save(ostream &) const
RCHandleAC::Abstract(void)
RCHandleAC::IsHandleType(const DT &) const
RCHandleAC::CheckHandleType(const DT &) const
RCHandleAC::Save(ostream &) const
RCHandleAC::Copy(void) const
RCHandleC::IsValid(void) const
RCHandleC::IsValidObject(void) const
RCHandleC::operator=(const RCHandleC &)
RCHandleC::operator==(const RCHandleC &) const
RCHandleC::operator!=(const RCHandleC &) const
RCHandleC::Hash(void) const
RCHandleC::IsConst(void) const
RCHandleC::IsNotConst(void) const
RCHandleC::SetConst(void) const
RCHandleC::Invalidate(void)
RCHandleC::Body(void)
RCHandleC::Body(void) const
NumOptimiseDescentC
 
Gradient descent optimisation algorithm.
 
include "amma/Num/NumOptimiseDescent.hh"
User Level:Default
Library:NumOptimise
Example:testNumOptimise.cc
Section:Optimisation.Implementation Numerical Methods.Optimisation.Implementation
In Scope:std

Comments:
Optimisation algorithm based on gradient descent. The cost function provides a measure of the Jacobian analytically if possible so the performance should be reasonable.

Parent Classes: Methods:
NumOptimiseDescentC(UIntT iterations,RealT tolerance = 1e-6)
Constructor
iterationsmaximum number of iterations to use
Searches along direction of Jacobian (steepest descent) with ever decreasing steps until cost function decreases. This is one iteration. Iterates until the Jacobian is very small or number of iterations is met.

#include "amma/Num/NumOptimise.hh"
NumOptimiseBC & CastHandleOptimise() const

NumOptimiseC Copy() const
Makes a deep copy

NumOptimiseC & operator=(const NumOptimiseC & oth)
Assignment operator

VectorC MinimalX(const NumCostC & domain)
Do the Optimisation. Determines which X gives minimum cost function value

VectorC MaximalX(const NumCostC & domain)
Do the Optimisation. Determines which X gives maximum cost function value

const StringC GetInfo() const
Gets string describing object

const StringC GetName() const
Gets type name of the object

BooleanT Save(ostream & out) const
Writes object to stream, cna be loaded using constructor

#include "amma/RCHandleA.hh"
RCAbstractC Abstract()
Create an abstract handle to this object.

BooleanT IsHandleType(const DT &) const
Is handle of given type ?

void CheckHandleType(const DT & dummy) const
Check handle type. Throw an expception if not.

BooleanT Save(ostream & out) const
Save to ostream.

RCHandleAC<NumOptimiseBC> Copy() const
Creat a deep copy of this object.
protected:

#include "amma/RCHandle.hh"
BooleanT IsValid() const
Check its a valid handle.

BooleanT IsValidObject() const
Check its a valid handle, and that the object is pointed to is also valid.

RCHandleC<NumOptimiseBC> & operator=(const RCHandleC<NumOptimiseBC> & oth)
Assignment.

BooleanT operator==(const RCHandleC<NumOptimiseBC> & oth) const
Comparison operator.

BooleanT operator!=(const RCHandleC<NumOptimiseBC> & oth) const
Comparison operator.

UIntT Hash() const
Hash function.x

BooleanT IsConst() const
Is object constant ?

BooleanT IsNotConst() const
Is object not constant ?

void SetConst(void) const
Lock the object.
This is const as a convience though it actual modified the object, often object you wish to ensure are constant already have const set. protected:

void Invalidate()
Turn this into an invalid handle.

NumOptimiseBC & Body()
Direct access to body.

const NumOptimiseBC & Body() const
Constant access to body.


Programmer:Robert Crida, Documentation by CxxDoc: Tue Mar 20 10:49:27 2001