Problem Class Reference

The abstract class for defining an optimization problem. More...

Inheritance diagram for Problem:

Public Member Functions
virtual	confun (in obj, in X)
	Abstract function to compute constraint violations at state vector X.
function	derivativetest (in obj, in xr)
	Function to test the whole problem which was defined.
virtual	gradient (in obj, in g)
	Abstract function to computing gradient at state vector X.
virtual	jacobian (in obj, in X)
	Abstract function to compute jacobian at state vector X.
virtual	jacstructure (in obj)
	Abstract function providing the jacobian pattern.
virtual	objfun (in obj, in X)
	Abstract function to computing objective value at state vector X.
virtual	report (in obj, in X, in settings, in style, in resultFilename)
	Abstract function to report a current state vector of the problem.

Static Public Member Functions
static function	matcompare (in a, in b)
	Helperfunction to compare matrices and mind maximum abs error.

Public Attributes
Property	c_lb
	Double array: Lower bound of constaints.
Property	c_ub
	Double array: Upper bound of constraints.
Property	initialguess
	Struct: Intial guess for x.
Property	name
	String: Name of result file.
Property	X_lb
	Double array: Lower bound of state vector.
Property	X_ub
	Double array: Upper bound of state vector.

Detailed Description

The abstract class for defining an optimization problem.

Member Function Documentation

confun()

virtual confun ( in  obj, in  X  )

virtual

Abstract function to compute constraint violations at state vector X.

Reimplemented in Collocation.

derivativetest()

function derivativetest	(	in	obj,
		in	xr
	)

Function to test the whole problem which was defined.

gradient()

virtual gradient ( in  obj, in  g  )

virtual

Abstract function to computing gradient at state vector X.

Reimplemented in Collocation.

jacobian()

virtual jacobian ( in  obj, in  X  )

virtual

Abstract function to compute jacobian at state vector X.

Reimplemented in Collocation.

jacstructure()

virtual jacstructure ( in  obj )

virtual

Abstract function providing the jacobian pattern.

Reimplemented in Collocation.

matcompare()

static function matcompare ( in  a, in  b  )

static

Helperfunction to compare matrices and mind maximum abs error.

Used for derivativetest()

objfun()

virtual objfun ( in  obj, in  X  )

virtual

Abstract function to computing objective value at state vector X.

Reimplemented in Collocation.

report()

virtual report ( in  obj, in  X, in  settings, in  style, in  resultFilename  )

virtual

Abstract function to report a current state vector of the problem.

Reimplemented in Collocation.

Member Data Documentation

c_lb

Property c_lb

Double array: Lower bound of constaints.

c_ub

Property c_ub

Double array: Upper bound of constraints.

initialguess

Property initialguess

Struct: Intial guess for x.

name

Property name

String: Name of result file.

X_lb

Property X_lb

Double array: Lower bound of state vector.

X_ub

Property X_ub

Double array: Upper bound of state vector.

---

The documentation for this class was generated from the following file:

• BioMAC-Sim-Toolbox/src/problem/Problem.m