org.matheclipse.core.reflection.system

Class NMinimize

java.lang.Object

org.matheclipse.core.eval.interfaces.AbstractEvaluator

org.matheclipse.core.eval.interfaces.AbstractFunctionEvaluator

org.matheclipse.core.reflection.system.NMinimize

All Implemented Interfaces:

IFunctionEvaluator, IEvaluator

Direct Known Subclasses:

NMaximize

public class NMinimize
extends AbstractFunctionEvaluator

Constructor Summary

Constructors

Constructor and Description
NMinimize()

Method Summary

Modifier and Type	Method and Description
IExpr	evaluate(IAST ast, EvalEngine engine) Symbolic evaluation of a function.
protected static java.util.List<org.apache.commons.math4.optim.linear.LinearConstraint>	getConstraints(VariablesSet vars, IExpr listOfconstraints)
protected static org.apache.commons.math4.optim.linear.LinearObjectiveFunction	getObjectiveFunction(VariablesSet vars, IExpr objectiveFunction)
IExpr	numericEval(IAST ast, EvalEngine engine) Numeric evaluation of a function.
protected static IExpr	simplexSolver(VariablesSet vars, org.apache.commons.math4.optim.linear.LinearObjectiveFunction f, org.apache.commons.math4.optim.OptimizationData... optData)

Methods inherited from class org.matheclipse.core.eval.interfaces.AbstractFunctionEvaluator

createRuleFromMethod, getNormalizedNegativeExpression, getNormalizedNegativeExpression, getPeriodicParts, getPureImaginaryPart, getRuleAST, initSerializedRules, isNegativeExpression, setUp

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NMinimize

public NMinimize()

Method Detail

evaluate

public IExpr evaluate(IAST ast,
                      EvalEngine engine)

Description copied from class: AbstractFunctionEvaluator

Symbolic evaluation of a function. ast.get(0) (or alternatively ast.head()) contains the head (i.e. the function symbol) of this abstract syntax tree (AST).
From ast.arg1() to ast.get(n) the ast contains the first to n-th argument of the function (alternatively you get the first to fifth argument with the methods arg1(), arg2(),... arg5()).
If necessary use the methods from the Validate class to check the number or types of arguments in the evaluate method.
Note: if the symbolic evaluation isn't possible or no result is found the evaluate method returns with a null value without throwing an exception!

Specified by:

evaluate in interface IFunctionEvaluator

Specified by:

evaluate in class AbstractFunctionEvaluator

Parameters:

ast - the abstract syntax tree (AST) which should be evaluated

engine - the users current evaluation engine

Returns:

the evaluated object or null, if evaluation isn't possible

See Also:

Validate, IExpr.head(), IAST.arg1(), IAST.arg2(), IAST.arg3()

numericEval

public IExpr numericEval(IAST ast,
                         EvalEngine engine)

Description copied from class: AbstractEvaluator

Numeric evaluation of a function. ast.get(0) (or alternatively ast.head()) contains the head (i.e. the function symbol) of this abstract syntax tree (AST).
From ast.arg1() to ast.get(n) the ast contains the first to n-th argument of the function (alternatively you get the first to fifth argument with the methods arg1(), arg2(),... arg5()).
If necessary use the methods from the Validate class to check the number or types of arguments in the evaluate method.

Specified by:

numericEval in interface IFunctionEvaluator

Overrides:

numericEval in class AbstractEvaluator

Parameters:

ast - the abstract syntax tree (AST) which should be evaluated

engine - the users current evaluation engine

Returns:

the evaluated object or null, if evaluation isn't possible

See Also:

Validate, IExpr.head(), IAST.arg1(), IAST.arg2(), IAST.arg3()

getObjectiveFunction

protected static org.apache.commons.math4.optim.linear.LinearObjectiveFunction getObjectiveFunction(VariablesSet vars,
                                                                                                    IExpr objectiveFunction)

getConstraints

protected static java.util.List<org.apache.commons.math4.optim.linear.LinearConstraint> getConstraints(VariablesSet vars,
                                                                                                       IExpr listOfconstraints)

simplexSolver

protected static IExpr simplexSolver(VariablesSet vars,
                                     org.apache.commons.math4.optim.linear.LinearObjectiveFunction f,
                                     org.apache.commons.math4.optim.OptimizationData... optData)