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solve

Class:FunctionApproximation.Problem
Package:FunctionApproximation

Solve for optimized solution to function approximation problem

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Syntax

solution = solve(problem)

Description

solution= solve(problem)solves the optimization problem defined by theFunctionApproximation.Problemobject,problem, and returns the optimized result,solution, as aFunctionApproximation.LUTSolutionobject.

Input Arguments

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Optimization problem specified as aFunctionApproximation.Problemobject defining the function orMath Functionblock to approximate, or theLookup Table一块优化和其他参数nd constraints to use during the optimization process.

Output Arguments

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Approximation solution, returned as aFunctionApproximation.LUTSolutionobject.

Examples

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创建一个FunctionApproximation.Problemobject, specifying a math function to approximate.

problem = FunctionApproximation.Problem('log')
problem = FunctionApproximation.Problem with properties FunctionToApproximate: @(x)log(x) NumberOfInputs: 1 InputTypes: "numerictype(1,16,10)" InputLowerBounds: 0.6250 InputUpperBounds: 15.6250 OutputType: "numerictype(1,16,13)" Options: [1×1 FunctionApproximation.Options]

Use default values for all other options.

Use thesolvemethod to generate an approximation of the function.

solution = solve(problem)
| ID | Memory (bits) | ConstraintMet | Table Size | Breakpoints WLs | TableData WL | BreakpointSpecification | Error(Max,Current) | | 0 | 64 | 0 | 2 | 16 | 16 | EvenPow2Spacing | 7.812500e-03, 1.178125e+00 | | 1 | 1984 | 1 | 122 | 16 | 16 | EvenPow2Spacing | 7.812500e-03, 4.192649e-03 | | 2 | 1024 | 0 | 62 | 16 | 16 | EvenPow2Spacing | 7.812500e-03, 1.416713e-02 | | 3 | 1968 | 1 | 121 | 16 | 16 | EvenPow2Spacing | 7.812500e-03, 4.192649e-03 | | 4 | 64 | 0 | 2 | 16 | 16 | EvenSpacing | 7.812500e-03, 1.138984e+00 | | 5 | 416 | 1 | 13 | 16 | 16 | ExplicitValues | 7.812500e-03, 7.310789e-03 | Best Solution | ID | Memory (bits) | ConstraintMet | Table Size | Breakpoints WLs | TableData WL | BreakpointSpecification | Error(Max,Current) | | 5 | 416 | 1 | 13 | 16 | 16 | ExplicitValues | 7.812500e-03, 7.310789e-03 | solution = FunctionApproximation.LUTSolution with properties ID: 5 Feasible: "true"

You can then use theapproximatemethod to generate a subsystem containing the lookup table approximation.

Version History

Introduced in R2018a

See Also

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Classes

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