mathematical optimization

The problem of finding the optimal decision is a mathematical optimization problem.

In mathematical optimization and related fields, relaxation is a modeling strategy.

Mathematical optimization is used in much modern controller design.

Basis pursuit is the mathematical optimization problem of the form:

A complementarity problem is a type of mathematical optimization problem.

In computer science, hill climbing is a mathematical optimization technique which belongs to the family of local search.

Later important researchers in mathematical optimization include the following:

The completeness and accuracy requirements are met by rather complicated mathematical optimization procedures.

He is a coauthor of pioneer publications from mathematical optimization models in biology.

Finding global maxima and minima is the goal of mathematical optimization.

Analysis involves mathematical optimization techniques, statistical methods, experiments, and computer simulations.

However, the final result of the mathematical optimization hadn't meet players' expectations since some complained about lag in gameplay.

First, the field of optimization theory matured and developed mathematical optimization techniques.

Yinyu Ye is an American theoretical computer scientist working on mathematical optimization.

It is the sub-field of Mathematical optimization that deals with problems that are not linear.

The term "decision analytic" has often been reserved for decisions that do not appear to lend themselves to mathematical optimization methods.

This framework can be used to optimize some characteristics of multiple cooperating agents in mathematical optimization problems.

However, with the use of fairly sophisticated mathematical optimization techniques, correlations of 99 percent or better can usually be obtained.

OR uses mathematical modeling, statistical analysis, and mathematical optimization.

Other interests included mathematical optimization theory.

Binary constraint, in mathematical optimization, is a constraint that involves exactly two variables.

Linear programming is a specific case of mathematical programming (mathematical optimization).

Dynamic programming is both a mathematical optimization method and a computer programming method.

In addition, Hua's later work on mathematical optimization and operations research made an enormous impact on China's economy.

In mathematical optimization, greedy algorithms solve combinatorial problems having the properties of matroids.