optimization method

  • 41Interprocedural optimization — (IPO) is a compiler technique used in computer programming to improve performance in programs containing many frequently used functions of small or medium length. IPO differs from other compiler optimization because it analyzes the entire… …

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  • 42Rate–distortion optimization — (also RDO or RD) is a method of improving video quality in video compression. The name refers to the optimization of the amount of distortion (loss of video quality) against the amount of data required to encode the video, the rate . While it is… …

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  • 43Mehrotra predictor–corrector method — Mehrotra s predictor–corrector method in optimization is an implementation of interior point methods. It was proposed in 1989 by Sanjay Mehrotra.[1] The method is based on the fact that at each iteration of an interior point algorithm it is… …

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  • 44Search engine optimization — SEO redirects here. For other uses, see SEO (disambiguation). Internet marketing …

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  • 45Extremal optimization — (EO) is an optimization heuristic inspired by the Bak Sneppen model of self organized criticality from the field of statistical physics. This heuristic was designed initially to address combinatorial optimization problems such as the travelling… …

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  • 46Broyden's method — In mathematics, Broyden s method is a quasi Newton method for the numerical solution of nonlinear equations in more than one variable. It was originally described by C. G. Broyden in 1965. [cite journal last = Broyden first = C. G. title = A… …

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  • 47Derivation of the conjugate gradient method — In numerical linear algebra, the conjugate gradient method is an iterative method for numerically solving the linear system where is symmetric positive definite. The conjugate gradient method can be derived from several different perspectives,… …

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  • 48Trajectory optimization — is the process of designing a trajectory that minimizes or maximizes some measure of performance. While not exactly the same, the goal of solving a trajectory optimization problem is essentially the same as solving an optimal control problem. The …

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  • 49Constrained optimization and Lagrange multipliers — This tutorial presents an introduction to optimization problems that involve finding a maximum or a minimum value of an objective function f(x 1,x 2,ldots, x n) subject to a constraint of the form g(x 1,x 2,ldots, x n)=k.Maximum and… …

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  • 50Chebyshev pseudospectral method — The Chebyshev pseudospectral method for optimal control problems is based on Chebyshev polynomials of the first kind. Unlike the Legendre pseudospectral method, the Chebyshev pseudospectral (PS) method does not immediately offer high accuracy… …

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