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Luus–Jaakola

Index Luus–Jaakola

In computational engineering, Luus–Jaakola (LJ) denotes a heuristic for global optimization of a real-valued function. [1]

6 relations: List of numerical analysis topics, Local search (optimization), Pattern search (optimization), Random optimization, Random search, Unimodality.

List of numerical analysis topics

This is a list of numerical analysis topics.

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Local search (optimization)

In computer science, local search is a heuristic method for solving computationally hard optimization problems.

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Pattern search (optimization)

Pattern search (also known as direct search, derivative-free search, or black-box search) is a family of numerical optimization methods that does not require a gradient.

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Random optimization

Random optimization (RO) is a family of numerical optimization methods that do not require the gradient of the problem to be optimized and RO can hence be used on functions that are not continuous or differentiable.

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Random search

Random search (RS) is a family of numerical optimization methods that do not require the gradient of the problem to be optimized, and RS can hence be used on functions that are not continuous or differentiable.

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Unimodality

In mathematics, unimodality means possessing a unique mode.

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Redirects here:

Local unimodal sampling, Luus-Jaakola.

References

[1] https://en.wikipedia.org/wiki/Luus–Jaakola

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