optimization model
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Model predictive control — Model Predictive Control, or MPC, is an advanced method of process control that has been in use in the process industries such as chemical plants and oil refineries since the 1980s. Model predictive controllers rely on dynamic models of the… … Wikipedia
Optimization (disambiguation) — Optimization or optimality may refer to: Mathematical optimization, the theory and computation of extrema or stationary points of functions Economics and business Optimality, in economics; see utility and economic efficiency Pareto optimality, or … Wikipedia
Infrastructure optimization — Optimization All up Model Infrastructure optimization is Microsoft s structured, systematic process for assessing an organization s IT infrastructure and application platform across capabilities in order to provide an optimization roadmap toward… … Wikipedia
optimization — /op teuh meuh zay sheuhn/ 1. the fact of optimizing; making the best of anything. 2. the condition of being optimized. 3. Math. a mathematical technique for finding a maximum or minimum value of a function of several variables subject to a set of … Universalium
Model theory — This article is about the mathematical discipline. For the informal notion in other parts of mathematics and science, see Mathematical model. In mathematics, model theory is the study of (classes of) mathematical structures (e.g. groups, fields,… … Wikipedia
Model (macroeconomics) — A model in macroeconomics is a logical, mathematical, and/or computational framework designed to describe the operation of a national or regional economy, and especially the dynamics of aggregate quantities such as the total amount of goods and… … Wikipedia
Robust optimization — In mathematics, robust optimization is an approach in optimization to deal with uncertainty. It is similar to the recourse model of stochastic programming, in that some of the parameters are random variables, except that feasibility for all… … Wikipedia
Statistical model validation — Model validation is possibly the most important step in the model building sequence. It is also one of the most overlooked. Often the validation of a model seems to consist of nothing more than quoting the R 2 statistic from the fit (which… … Wikipedia
Ant colony optimization algorithms — Ant behavior was the inspiration for the metaheuristic optimization technique. In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be… … Wikipedia
Wing shape optimization — is a software implementation of shape optimization primarily used for aircraft design. This allows for engineers to produce more efficient and cheaper aircraft designs.HistoryShape optimization, as a software process and tool, first appeared as… … Wikipedia
Extremal 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… … Wikipedia