Search results
- 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...58 KB (5,743 words) - 12:00, 14 July 2024
generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from...51 KB (5,954 words) - 07:07, 20 July 2024
Genetic algorithm (redirect from Optimization using genetic algorithms)Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such...68 KB (8,028 words) - 03:09, 24 June 2024- Gradient descent (redirect from Gradient descent optimization)Gradient descent is a method for unconstrained mathematical optimization. It is a first-order iterative algorithm for finding a local minimum of a differentiable...37 KB (5,292 words) - 04:22, 23 June 2024
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 (1,822 words) - 00:11, 9 June 2024- Spamdexing (redirect from Black-hat search engine optimization)search engine spam, search engine poisoning, black-hat search engine optimization, search spam or web spam) is the deliberate manipulation of search engine...25 KB (2,949 words) - 18:09, 12 July 2024
Linear programming (redirect from Linear optimization)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 (6,672 words) - 00:02, 29 June 2024- In computer science, program optimization, code optimization, or software optimization is the process of modifying a software system to make some aspect...32 KB (4,487 words) - 20:16, 29 January 2024
Algorithm (redirect from Optimization algorithms)Sollin are greedy algorithms that can solve this optimization problem. The heuristic method In optimization problems, heuristic algorithms can be used to...62 KB (7,341 words) - 07:54, 8 July 2024- Convex optimization is a subfield of mathematical optimization that studies the problem of minimizing convex functions over convex sets (or, equivalently...30 KB (3,097 words) - 23:17, 1 July 2024
In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate...48 KB (5,077 words) - 23:59, 2 July 2024
PowerPC (with the backronym Performance Optimization With Enhanced RISC – Performance Computing, sometimes abbreviated as PPC) is a reduced instruction...47 KB (5,281 words) - 20:51, 7 June 2024- Integer programming (redirect from Integer linear optimization)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 (4,193 words) - 07:53, 16 July 2024
In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems...77 KB (9,490 words) - 00:47, 14 July 2024- Optimizing compiler (redirect from Compiler optimization)program execution time, memory use, storage size, and power consumption. Optimization is generally implemented as a sequence of optimizing transformations...40 KB (5,332 words) - 20:47, 26 June 2024
Dynamic programming (redirect from Dynamic optimization)Dynamic programming is both a mathematical optimization method and an algorithmic paradigm. The method was developed by Richard Bellman in the 1950s and...60 KB (9,215 words) - 04:54, 5 July 2024- Nonlinear programming (redirect from Nonlinear optimization)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 (1,485 words) - 07:31, 27 April 2024
- Stochastic gradient descent (redirect from Adam (optimization algorithm))It can be regarded as a stochastic approximation of gradient descent optimization, since it replaces the actual gradient (calculated from the entire data...49 KB (6,579 words) - 16:31, 10 June 2024
- Society for Industrial and Applied Mathematics (redirect from SIAM Journal on Control and Optimization)Mathematics of Planet Earth Nonlinear Waves and Coherent Structures Optimization Orthogonal Polynomials and Special Functions Supercomputing Uncertainty...24 KB (2,228 words) - 07:05, 29 May 2024
- science and economics, an optimization problem is the problem of finding the best solution from all feasible solutions. Optimization problems can be divided...5 KB (672 words) - 01:07, 2 December 2023
- combinatorial optimization constrained optimization continuous optimization convex optimization discrete optimization global optimization micro-optimization optimization
- optimization problem. optim(), nlm(), ucminf() (ucminf) can be used for multidimensional optimization problems. nlminb() for constrained optimization