# N-D Test Functions T¶

class go_benchmark.TestTubeHolder(dimensions=2)

TestTubeHolder test objective function.

This class defines the TestTubeHolder global optimization problem. This is a multimodal minimization problem defined as follows: Here, represents the number of dimensions and for . Two-dimensional TestTubeHolder function

Global optimum: for class go_benchmark.ThreeHumpCamel(dimensions=2)

Three Hump Camel test objective function.

This class defines the Three Hump Camel global optimization problem. This is a multimodal minimization problem defined as follows: Here, represents the number of dimensions and for . Two-dimensional Three Hump Camel function

Global optimum: for class go_benchmark.Treccani(dimensions=2)

Treccani test objective function.

This class defines the Treccani global optimization problem. This is a multimodal minimization problem defined as follows: Here, represents the number of dimensions and for . Two-dimensional Treccani function

Global optimum: for or .

class go_benchmark.Trefethen(dimensions=2)

Trefethen test objective function.

This class defines the Trefethen global optimization problem. This is a multimodal minimization problem defined as follows: Here, represents the number of dimensions and for . Two-dimensional Trefethen function

Global optimum: for class go_benchmark.Trid(dimensions=6)

Trid test objective function.

This class defines the Trid global optimization problem. This is a multimodal minimization problem defined as follows: Here, represents the number of dimensions and for .

Global optimum: for class go_benchmark.Trigonometric01(dimensions=2)

Trigonometric 1 test objective function.

This class defines the Trigonometric 1 global optimization problem. This is a multimodal minimization problem defined as follows: Here, represents the number of dimensions and for . Two-dimensional Trigonometric 1 function

Global optimum: for for class go_benchmark.Trigonometric02(dimensions=2)

Trigonometric 2 test objective function.

This class defines the Trigonometric 2 global optimization problem. This is a multimodal minimization problem defined as follows: Here, represents the number of dimensions and for . Two-dimensional Trigonometric 2 function

Global optimum: for for class go_benchmark.Tripod(dimensions=2)

Tripod test objective function.

This class defines the Tripod global optimization problem. This is a multimodal minimization problem defined as follows: Here, represents the number of dimensions and for . Two-dimensional Tripod function

Global optimum: for #### Previous topic

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