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There is a page named "Linear optimization" on Wikipedia

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  • 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...
    60 KB (6,577 words) - 18:12, 15 June 2024
  • 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
  • An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers...
    29 KB (4,193 words) - 21:11, 21 May 2024
  • Thumbnail for Mathematical optimization
    generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from...
    51 KB (5,907 words) - 05:40, 16 June 2024
  • Convex optimization is a subfield of mathematical optimization that studies the problem of minimizing convex functions over convex sets (or, equivalently...
    30 KB (3,092 words) - 15:23, 10 April 2024
  • In mathematical optimization theory, duality or the duality principle is the principle that optimization problems may be viewed from either of two perspectives...
    27 KB (3,869 words) - 02:21, 15 April 2024
  • multi-objective optimization and multidisciplinary design optimization. LINDO – (Linear, Interactive, and Discrete Optimizer) a software package for linear programming...
    14 KB (1,234 words) - 03:02, 10 May 2024
  • proposed a similar method in 1907. Its convergence properties for non-linear optimization problems were first studied by Haskell Curry in 1944, with the method...
    37 KB (5,293 words) - 11:25, 16 June 2024
  • 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 (1,822 words) - 00:11, 9 June 2024
  • In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function...
    13 KB (1,844 words) - 07:20, 14 June 2024
  • The class of conic optimization problems includes some of the most well known classes of convex optimization problems, namely linear and semidefinite programming...
    3 KB (455 words) - 23:36, 6 December 2023
  • hyperparameter optimization methods. Bayesian optimization is a global optimization method for noisy black-box functions. Applied to hyperparameter optimization, Bayesian...
    23 KB (2,459 words) - 08:07, 12 June 2024
  • given the high degree of nonlinearity of the output, traditional linear optimization tools have several limitations. Therefore, in the framework of soft...
    7 KB (994 words) - 19:27, 6 October 2023
  • estimated for each technology. In mathematics, mathematical optimization (or optimization or mathematical programming) refers to the selection of a best...
    134 KB (13,620 words) - 06:51, 25 May 2024
  • mathematical optimization, linear-fractional programming (LFP) is a generalization of linear programming (LP). Whereas the objective function in a linear program...
    10 KB (1,348 words) - 01:45, 6 April 2024
  • Linear Programming (SLP), also known as Sequential Linear Programming, is an optimization technique for approximately solving nonlinear optimization problems...
    2 KB (248 words) - 08:21, 28 December 2023
  • In mathematical optimization theory, the linear complementarity problem (LCP) arises frequently in computational mechanics and encompasses the well-known...
    13 KB (1,753 words) - 14:39, 5 April 2024
  • Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute...
    74 KB (9,512 words) - 18:44, 16 May 2024
  • Quadratic programming (category Optimization algorithms and methods)
    of solving certain mathematical optimization problems involving quadratic functions. Specifically, one seeks to optimize (minimize or maximize) a multivariate...
    22 KB (1,902 words) - 04:08, 8 April 2024
  • Thumbnail for Criss-cross algorithm
    Criss-cross algorithm (category Combinatorial optimization)
    In mathematical optimization, the criss-cross algorithm is any of a family of algorithms for linear programming. Variants of the criss-cross algorithm...
    24 KB (2,432 words) - 01:00, 10 January 2024
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