cost optimization - meaning and definition. What is cost optimization
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What (who) is cost optimization - definition

STUDY OF MATHEMATICAL ALGORITHMS FOR OPTIMIZATION PROBLEMS
Mathematical programming; Optimisation; Optimization theory; Cost functional; Optimal; Optimum; Searching the search space; Optimisation (mathematics); Optimization glossary; Numerical optimization; Mathematical optimisation; Optimizer; Optimation; Ordinal optimization; Energy function; Optimizing; Function optimization; Optimization algorithm; Optimal allocation; Optimization; Optimization (mathematics); Numerical optimisation; Optimally; Make the most out of; Make the most of; Numerical optimization problem; Computational optimization techniques; Mathematical optimization algorithms; Applications of mathematical optimization; Applications of optimization; Algorithms for optimization; Algorithms for solving optimization problems; Automated optimization; Interior solution (optimization); History of mathematical optimization; Algorithm's optimality; Optimization problems in economics; Optimization problems in electrical engineering; Optimization of electrical circuits; Optimization of electronic circuits; Optimization heuristic; Optimization (mathematical); Optimization in electrical engineering
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Cost, Texas         
HUMAN SETTLEMENT IN TEXAS, UNITED STATES OF AMERICA
Cost, TX
Cost is an unincorporated community in Gonzales County, Texas, United States. According to the Handbook of Texas, the community had an estimated population 62 in 2000.
Mathematical optimization         
Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives."The Nature of Mathematical Programming ," Mathematical Programming Glossary, INFORMS Computing Society.
Ordinal optimization         
In mathematical optimization, ordinal optimization is the maximization of functions taking values in a partially ordered set ("poset").Dietrich, B.

Wikipedia

Mathematical optimization

Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries.

In the more general approach, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations constitutes a large area of applied mathematics. More generally, optimization includes finding "best available" values of some objective function given a defined domain (or input), including a variety of different types of objective functions and different types of domains.

Examples of use of cost optimization
1. Gornet said cars from the Bursa factory would initially be sent to countries in Turkey‘s geographic vicinity, in line with Renault‘s cost optimization forecasts.