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  • Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines...
    61 KB (5,959 words) - 14:55, 2 July 2025
  • Thumbnail for Mathematical optimization
    generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from...
    53 KB (6,155 words) - 14:53, 3 July 2025
  • search engine spam, search engine poisoning, black-hat search engine optimization, search spam or web spam) is the deliberate manipulation of search engine...
    29 KB (3,426 words) - 12:39, 11 July 2025
  • Gradient descent is a method for unconstrained mathematical optimization. It is a first-order iterative algorithm for minimizing a differentiable multivariate...
    39 KB (5,600 words) - 14:21, 20 June 2025
  • Thumbnail for Genetic algorithm
    Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems via biologically inspired operators such as selection...
    69 KB (8,221 words) - 21:33, 24 May 2025
  • Thumbnail for Combinatorial optimization
    Combinatorial optimization is a subfield of mathematical optimization that consists of finding an optimal object from a finite set of objects, where the...
    18 KB (1,848 words) - 17:23, 29 June 2025
  • Thumbnail for Linear programming
    Linear programming (LP), also called linear optimization, is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical...
    61 KB (6,690 words) - 17:57, 6 May 2025
  • Thumbnail for Algorithm
    Sollin are greedy algorithms that can solve this optimization problem. The heuristic method In optimization problems, heuristic algorithms find solutions...
    61 KB (7,009 words) - 22:21, 2 July 2025
  • In computer science, program optimization, code optimization, or software optimization is the process of modifying a software system to make some aspect...
    36 KB (4,760 words) - 03:36, 13 July 2025
  • Convex optimization is a subfield of mathematical optimization that studies the problem of minimizing convex functions over convex sets (or, equivalently...
    30 KB (3,170 words) - 11:17, 22 June 2025
  • Thumbnail for PowerPC
    PowerPC (with the backronym Performance Optimization With Enhanced RISC – Performance Computing, sometimes abbreviated as PPC) is a reduced instruction...
    48 KB (5,421 words) - 23:13, 6 May 2025
  • Thumbnail for Ant colony optimization algorithms
    In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems...
    77 KB (9,484 words) - 10:31, 27 May 2025
  • Thumbnail for Particle swarm optimization
    In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate...
    49 KB (5,222 words) - 13:05, 13 July 2025
  • Thumbnail for Dynamic programming
    Dynamic programming is both a mathematical optimization method and an algorithmic paradigm. The method was developed by Richard Bellman in the 1950s and...
    59 KB (9,166 words) - 09:27, 4 July 2025
  • Mathematics of Planet Earth Nonlinear Waves and Coherent Structures Optimization Orthogonal Polynomials and Special Functions Supercomputing Uncertainty...
    24 KB (2,253 words) - 13:56, 10 April 2025
  • an optimization problem where some of the constraints are not linear equalities or the objective function is not a linear function. An optimization problem...
    11 KB (1,483 words) - 11:39, 15 August 2024
  • An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers...
    30 KB (4,226 words) - 01:54, 24 June 2025
  • program execution time, memory usage, storage size, and power consumption. Optimization is generally implemented as a sequence of optimizing transformations...
    42 KB (5,417 words) - 08:30, 24 June 2025
  • Thumbnail for Newton's method in optimization
    is relevant in optimization, which aims to find (global) minima of the function f {\displaystyle f} . The central problem of optimization is minimization...
    12 KB (1,864 words) - 10:11, 20 June 2025
  • Logic optimization is a process of finding an equivalent representation of the specified logic circuit under one or more specified constraints. This process...
    16 KB (1,657 words) - 13:37, 23 April 2025
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