Class IterativeC2Maximizer
- java.lang.Object
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- dev.nm.solver.multivariate.unconstrained.c2.IterativeC2Maximizer
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- All Implemented Interfaces:
Optimizer<C2OptimProblem,IterativeC2Maximizer.Solution>
public class IterativeC2Maximizer extends Object implements Optimizer<C2OptimProblem,IterativeC2Maximizer.Solution>
A maximization problem is simply minimizing the negative of the objective function. This class is simply provided as a wrapper class to solve a maximization problem using aIterativeC2Minimizer.
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Nested Class Summary
Nested Classes Modifier and Type Class Description static interfaceIterativeC2Maximizer.Solution
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Constructor Summary
Constructors Constructor Description IterativeC2Maximizer(double epsilon, int maxIterations)Construct a multivariate maximizer to maximize an objective function.IterativeC2Maximizer(T minimizer)Construct a multivariate maximizer to maximize an objective function.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description IterativeC2Maximizer.Solutionsolve(C2OptimProblem problem)Solve an optimization problem, e.g.,OptimProblem.
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Constructor Detail
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IterativeC2Maximizer
public IterativeC2Maximizer(T minimizer)
Construct a multivariate maximizer to maximize an objective function.- Type Parameters:
T- the type of iterative minimizer- Parameters:
minimizer- a multivariate minimizer
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IterativeC2Maximizer
public IterativeC2Maximizer(double epsilon, int maxIterations)Construct a multivariate maximizer to maximize an objective function. By default, we use the NelderMead algorithm.- Parameters:
epsilon- a precision parameter: when a number |x| ≤ ε, it is considered 0maxIterations- the maximum number of iterations
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Method Detail
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solve
public IterativeC2Maximizer.Solution solve(C2OptimProblem problem) throws Exception
Description copied from interface:OptimizerSolve an optimization problem, e.g.,OptimProblem.- Specified by:
solvein interfaceOptimizer<C2OptimProblem,IterativeC2Maximizer.Solution>- Parameters:
problem- an optimization problem- Returns:
- a solution to the optimization problem
- Throws:
Exception- when there is an error solving the problem
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