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  2. Rastrigin function - Wikipedia

    en.wikipedia.org/wiki/Rastrigin_function

    It was first proposed in 1974 by Rastrigin [1] as a 2-dimensional function and has been generalized by Rudolph. [2] The generalized version was popularized by Hoffmeister & Bäck [3] and Mühlenbein et al. [4] Finding the minimum of this function is a fairly difficult problem due to its large search space and its large number of local minima.

  3. Golden-section search - Wikipedia

    en.wikipedia.org/wiki/Golden-section_search

    The golden-section search is a technique for finding an extremum (minimum or maximum) of a function inside a specified interval. For a strictly unimodal function with an extremum inside the interval, it will find that extremum, while for an interval containing multiple extrema (possibly including the interval boundaries), it will converge to one of them.

  4. Gradient descent - Wikipedia

    en.wikipedia.org/wiki/Gradient_descent

    The gradient descent can take many iterations to compute a local minimum with a required accuracy, if the curvature in different directions is very different for the given function. For such functions, preconditioning, which changes the geometry of the space to shape the function level sets like concentric circles, cures the slow convergence ...

  5. Maximum and minimum - Wikipedia

    en.wikipedia.org/wiki/Maximum_and_minimum

    In mathematical analysis, the maximum and minimum [a] of a function are, respectively, the greatest and least value taken by the function. Known generically as extremum , [ b ] they may be defined either within a given range (the local or relative extrema) or on the entire domain (the global or absolute extrema) of a function.

  6. Rosenbrock function - Wikipedia

    en.wikipedia.org/wiki/Rosenbrock_function

    Plot of the Rosenbrock function of two variables. Here =, =, and the minimum value of zero is at (,).. In mathematical optimization, the Rosenbrock function is a non-convex function, introduced by Howard H. Rosenbrock in 1960, which is used as a performance test problem for optimization algorithms. [1]

  7. Mathematical optimization - Wikipedia

    en.wikipedia.org/wiki/Mathematical_optimization

    The extreme value theorem of Karl Weierstrass states that a continuous real-valued function on a compact set attains its maximum and minimum value. More generally, a lower semi-continuous function on a compact set attains its minimum; an upper semi-continuous function on a compact set attains its maximum point or view.

  8. Why Experts Say This Underrated Supplement Is Key To Building ...

    www.aol.com/why-experts-underrated-supplement...

    "Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." There are about as many performance supplements on the market as there are protein-packed foods in a ...

  9. Lagrange multiplier - Wikipedia

    en.wikipedia.org/wiki/Lagrange_multiplier

    Suppose that we wish to find the stationary points of a smooth function : when restricted to the submanifold defined by = , where : is a smooth function for which 0 is a regular value. Let d ⁡ f {\displaystyle \ \operatorname {d} f\ } and d ⁡ g {\displaystyle \ \operatorname {d} g\ } be the exterior derivatives of f {\displaystyle \ f ...