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  2. Wolfe conditions - Wikipedia

    en.wikipedia.org/wiki/Wolfe_conditions

    Wolfe conditions are inequalities for performing inexact line search in optimization methods. The Armijo rule is the first condition that ensures the step length decreases sufficiently, while the curvature condition is the second condition that ensures the slope is reduced sufficiently.

  3. Line search - Wikipedia

    en.wikipedia.org/wiki/Line_search

    Line search is an iterative approach to find a local minimum of an objective function by reducing it along a descent direction. It involves computing a step size that determines how far to move along the direction, using various methods such as zero-order, curve-fitting, or inexact line search.

  4. Interior-point method - Wikipedia

    en.wikipedia.org/wiki/Interior-point_method

    An interior-point method is an algorithm for solving linear and non-linear convex optimization problems. It traverses the interior of the feasible region and has polynomial run-time and practical efficiency.

  5. Convergence tests - Wikipedia

    en.wikipedia.org/wiki/Convergence_tests

    Learn how to test for the convergence, divergence, or absolute convergence of an infinite series using various criteria and examples. Find out how to apply the limit, ratio, root, integral, p-series, direct comparison, limit comparison, Cauchy condensation, Abel's, alternating series, Dirichlet's, Cauchy's, Stolz–Cesàro, Weierstrass M-test, and other tests.

  6. Test functions for optimization - Wikipedia

    en.wikipedia.org/wiki/Test_functions_for...

    Convergence rate. Precision. Robustness. General performance. Here some test functions are presented with the aim of giving an idea about the different situations that optimization algorithms have to face when coping with these kinds of problems. In the first part, some objective functions for single-objective optimization cases are presented.

  7. Buffon's needle problem - Wikipedia

    en.wikipedia.org/wiki/Buffon's_needle_problem

    A probability problem about a needle dropped on a floor with parallel lines. Learn the solution, the connection to π, and the history of this classic geometric problem.

  8. Autostereogram - Wikipedia

    en.wikipedia.org/wiki/Autostereogram

    The two non-repeating lines can be used to verify correct wall-eyed viewing. When the autostereogram is correctly interpreted by the brain using wall-eyed viewing, and one stares at the dolphin in the middle of the visual field, the brain should see two sets of flickering lines, as a result of binocular rivalry. [11]

  9. Plotting algorithms for the Mandelbrot set - Wikipedia

    en.wikipedia.org/wiki/Plotting_algorithms_for...

    The problem with is that the convergence to by iterating () requires, theoretically, an infinite number of operations. The problem with any given p {\displaystyle p} is that, sometimes, due to rounding errors, a period is falsely identified to be an integer multiple of the real period (e.g., a period of 86 is detected, while the real period is ...