Sentence examples for mathematical programming algorithms from inspiring English sources

The results of a few illustrated examples obtained with the presented method are comparable to that obtained with the mathematical programming algorithms in the literature.

Then, non-linear mixed integer mathematical programming algorithms used with the turbine power uncertainty expression become an essential tool to overcome the problem of selection new sensors to improve an existing test rig or to contribute to a new one.

The mathematical programming algorithms, which provide the theoretical analysis for the problem optimality, are explored and the mathematical programming problems that are the most common in the EDA applications are focused on.

The structures, which often involve constraints on the solution sets of other models or complementarity relationships, can be exploited by modern large scale mathematical programming algorithms for efficient solution.

The design optimization is converted to an iterative numerical process that combines the parameterization with a derivation of the shape sensitivity of the design functions, so as to allow using mathematical programming algorithms to solve the level set-based design problem and avoid directly solving the Hamilton Jacobi PDE.

Since most of the world's electric energy production is mainly based on fossil fuels and need for better efficiency of the energy conversion systems is imminent, mathematical programming algorithms were applied for the simulation and optimization of a detailed model of an existing lignite-fired power plant in Kozani, Greece (KARDIA IV).

This is performed by using a mathematical programming algorithm.

This topology optimization problem is solved with a gradient-based mathematical programming algorithm on the basis of the sensitivity analysis.

A topology optimization problem is formulated to enhance such a property with a gradient-based mathematical programming algorithm.

This IA is combined with a mathematical programming algorithm to optimize the restraining forces and then to design the drawbeads.

In conjunction with the adjoint variable sensitivity analysis, the nonlinear topology optimization problem is solved by a gradient-based mathematical programming algorithm.