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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. Hill climbing - Wikipedia

    en.wikipedia.org/wiki/Hill_climbing

    A surface with two local maxima. (Only one of them is the global maximum.) If a hill-climber begins in a poor location, it may converge to the lower maximum. Hill climbing will not necessarily find the global maximum, but may instead converge on a local maximum. This problem does not occur if the heuristic is convex.

  4. Edge detection - Wikipedia

    en.wikipedia.org/wiki/Edge_detection

    Feature enhancement in an image (St Paul's Cathedral, London) using Phase Stretch Transform (PST). Left panel shows the original image and the right panel shows the detected features using PST. The phase stretch transform or PST is a physics-inspired computational approach to signal and image processing. One of its utilities is for feature ...

  5. H-maxima transform - Wikipedia

    en.wikipedia.org/wiki/H-maxima_transform

    In mathematical morphology, the h-maxima transform is a morphological operation used to filter local maxima of an image based on local contrast information. First, all local maxima are defined as connected pixels in a given neighborhood with intensity level greater than pixels outside the neighborhood.

  6. CSS-in-JS - Wikipedia

    en.wikipedia.org/wiki/CSS-in-JS

    CSS-in-JS is a styling technique by which JavaScript is used to style components. When this JavaScript is parsed, CSS is generated (usually as a <style> element) and attached into the DOM. It enables the abstraction of CSS to the component level itself, using JavaScript to describe styles in a declarative and maintainable way.

  7. 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] It is named after the mathematician Joseph-Louis ...

  8. Canny edge detector - Wikipedia

    en.wikipedia.org/wiki/Canny_edge_detector

    However, as the image gets complex, different local areas will need very different threshold values to accurately find the real edges. In addition, the global threshold values are determined manually through experiments in the traditional method, which leads to a complexity of calculation when a large number of different images need to be dealt ...

  9. Maximal and minimal elements - Wikipedia

    en.wikipedia.org/wiki/Maximal_and_minimal_elements

    Example 3: In the fence < > < > < > …, all the are minimal and all are maximal, as shown in the image. Example 4: Let A be a set with at least two elements and let S = { { a } : a ∈ A } {\displaystyle S=\{\{a\}~:~a\in A\}} be the subset of the power set ℘ ( A ) {\displaystyle \wp (A)} consisting of singleton subsets , partially ordered by ...