makeMatyasFunction: Matyas Function
In jakobbossek/smoof: Single and Multi-Objective Optimization Test Functions
makeMatyasFunction R Documentation
Matyas Function
Description
Two-dimensional, uni-modal test function
f(\mathbf{x}) = 0.26 (\mathbf{x}_1^2 + \mathbf{x}_2^2) - 0.48\mathbf{x}_1\mathbf{x}_2
subject to \mathbf{x}_i \in [-10, 10], i = 1, 2.
Usage
makeMatyasFunction()
Value
An object of class SingleObjectiveFunction, representing the Matyas Function.
[smoof_single_objective_function]
References
A.-R. Hedar, Global Optimization Test Problems.
jakobbossek/smoof documentation built on Feb. 17, 2024, 2:23 a.m.
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| makeMatyasFunction | R Documentation |
Matyas Function
Description
Two-dimensional, uni-modal test function
f(\mathbf{x}) = 0.26 (\mathbf{x}_1^2 + \mathbf{x}_2^2) - 0.48\mathbf{x}_1\mathbf{x}_2
subject to \mathbf{x}_i \in [-10, 10], i = 1, 2.
Usage
makeMatyasFunction()
Value
An object of class SingleObjectiveFunction, representing the Matyas Function.
[smoof_single_objective_function]
References
A.-R. Hedar, Global Optimization Test Problems.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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