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  2. Maximum and minimum - Wikipedia

    en.wikipedia.org/wiki/Maximum_and_minimum

    Finding global maxima and minima is the goal of mathematical optimization. If a function is continuous on a closed interval, then by the extreme value theorem, global maxima and minima exist. Furthermore, a global maximum (or minimum) either must be a local maximum (or minimum) in the interior of the domain, or must lie on the boundary of the ...

  3. Global optimization - Wikipedia

    en.wikipedia.org/wiki/Global_optimization

    Global optimization is distinguished from local optimization by its focus on finding the minimum or maximum over the given set, as opposed to finding local minima or maxima. Finding an arbitrary local minimum is relatively straightforward by using classical local optimization methods. Finding the global minimum of a function is far more ...

  4. Variable neighborhood search - Wikipedia

    en.wikipedia.org/wiki/Variable_neighborhood_search

    A local minimum with respect to one neighborhood structure is not necessarily a local minimum for another neighborhood structure. A global minimum is a local minimum with respect to all possible neighborhood structures. For many problems, local minima with respect to one or several neighborhoods are relatively close to each other.

  5. Local property - Wikipedia

    en.wikipedia.org/wiki/Local_property

    Perhaps the best-known example of the idea of locality lies in the concept of local minimum (or local maximum), which is a point in a function whose functional value is the smallest (resp., largest) within an immediate neighborhood of points. [1]

  6. Lagrange multiplier - Wikipedia

    en.wikipedia.org/wiki/Lagrange_multiplier

    In mathematical optimization, the method of Lagrange multipliers is a strategy for finding the local maxima and minima of a function subject to equation constraints (i.e., subject to the condition that one or more equations have to be satisfied exactly by the chosen values of the variables). [1]

  7. Iterated local search - Wikipedia

    en.wikipedia.org/wiki/Iterated_local_search

    Learning implies that the previous history, for example the memory about the previously found local minima, is mined to produce better and better starting points for local search. The implicit assumption is that of a clustered distribution of local minima : when minimizing a function, determining good local minima is easier when starting from a ...

  8. Ohio Man Allegedly Slammed Infant Who Wouldn’t Stop ... - AOL

    www.aol.com/ohio-man-allegedly-slammed-infant...

    An Ohio man allegedly slammed a 15-month-old girl on the floor after she wouldn’t stop crying, fracturing her skull. Two weeks later, she died of her injuries.

  9. Global precedence - Wikipedia

    en.wikipedia.org/wiki/Global_precedence

    Global precedence decline may also relate to hemispheric specialization. The spatial frequency theory proposes that global versus local information is processed through two “channels” of low (global) versus high (local) spatial frequencies. [9] spatial frequency measures how often a stimulus moves through space. Based upon this theory, the ...