Sentence examples for mathematical optimization problem from inspiring English sources
Here we focus on the abstracted mathematical optimization problem and invoke no deepening research on these matters.
In this article, we focus on the abstract mathematical optimization problem and assume these influences sufficiently clarified beforehand.
To accurately formulate our problem as a mathematical optimization problem, we first need to define our notation.
In [88], the authors studied the path selection and the link scheduling problem for mmWave transport network as a mathematical optimization problem.
In Section 2, after describing the main feature of our problem, we define our notation and formulate the mathematical optimization problem.
The objective of the mathematical optimization problem is the overall reactor performance such as the average selectivity over the catalyst lifetime.
Multi-objective programming (MOP) entails mathematical optimization problems involving more than one objective function to be optimized simultaneously.
Multiobjective optimization is an area of multiple criteria decision making, that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.
Multiobjective optimization (also known as multiobjective programming, vector optimization, multicriteria optimization, multiattribute optimization, or Pareto optimization) is an area of multiple-criteria decision-making, concerning mathematical optimization problems involving more than one objective functions to be optimized simultaneously.
Multiobjective optimization (also known as multiobjective programming, vector optimization, multicriteria optimization, multiattribute optimization, or Pareto optimization) is an area of multiple-criteria decision-making, concerning mathematical optimization problems involving more than one objective function to be optimized simultaneously.
In his 1947 treatise "Foundations of Economics Analysis," Samuelson showed how many types of economic decisions, such as what good a consumer should purchase, or how many employees a firm should hire, can be viewed as mathematical optimization problems.
