Package org.hipparchus.optim.linear
Class LinearOptimizer
java.lang.Object
org.hipparchus.optim.BaseOptimizer<P>
org.hipparchus.optim.BaseMultivariateOptimizer<PointValuePair>
org.hipparchus.optim.nonlinear.scalar.MultivariateOptimizer
org.hipparchus.optim.linear.LinearOptimizer
- Direct Known Subclasses:
SimplexSolver
Base class for implementing linear optimizers.
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Field Summary
Fields inherited from class org.hipparchus.optim.BaseOptimizer
evaluations, iterations
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Constructor Summary
ModifierConstructorDescriptionprotected
Simple constructor with default settings. -
Method Summary
Modifier and TypeMethodDescriptionprotected Collection<LinearConstraint>
Get constraints.protected LinearObjectiveFunction
Get optimization type.protected boolean
Check if variables are restricted to non-negative values.optimize
(OptimizationData... optData) Stores data and performs the optimization.protected void
parseOptimizationData
(OptimizationData... optData) Scans the list of (required and optional) optimization data that characterize the problem.Methods inherited from class org.hipparchus.optim.nonlinear.scalar.MultivariateOptimizer
computeObjectiveValue, getGoalType
Methods inherited from class org.hipparchus.optim.BaseMultivariateOptimizer
getLowerBound, getStartPoint, getUpperBound
Methods inherited from class org.hipparchus.optim.BaseOptimizer
doOptimize, getConvergenceChecker, getEvaluations, getIterations, getMaxEvaluations, getMaxIterations, incrementEvaluationCount, incrementIterationCount, optimize
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Constructor Details
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LinearOptimizer
protected LinearOptimizer()Simple constructor with default settings.
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Method Details
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isRestrictedToNonNegative
protected boolean isRestrictedToNonNegative()Check if variables are restricted to non-negative values.- Returns:
true
if the variables are restricted to non-negative values
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getFunction
Get optimization type.- Returns:
- the optimization type
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getConstraints
Get constraints.- Returns:
- the constraints
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optimize
Stores data and performs the optimization.The list of parameters is open-ended so that sub-classes can extend it with arguments specific to their concrete implementations.
When the method is called multiple times, instance data is overwritten only when actually present in the list of arguments: when not specified, data set in a previous call is retained (and thus is optional in subsequent calls).
Important note: Subclasses must override
BaseOptimizer.parseOptimizationData(OptimizationData[])
if they need to register their own options; but then, they must also callsuper.parseOptimizationData(optData)
within that method.- Overrides:
optimize
in classMultivariateOptimizer
- Parameters:
optData
- Optimization data. In addition to those documented inMultivariateOptimizer
, this method will register the following data:- Returns:
- a point/value pair that satisfies the convergence criteria.
- Throws:
MathIllegalStateException
- if the maximal number of iterations is exceeded.
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parseOptimizationData
Scans the list of (required and optional) optimization data that characterize the problem.- Overrides:
parseOptimizationData
in classMultivariateOptimizer
- Parameters:
optData
- Optimization data. The following data will be looked for:
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