An overview of the software design, methods and data abstraction of the OptiLab framework is presented. The framework is aimed at the advanced analysis and optimization of mathematical models of physical fields and also coupled problems. The algorithms of the framework are implemented with respect to solution demands and huge data requirements. The paper presents a short description of the framework, its basic concept and structure
Umair Ali KhanKlagenfurt, Alpen-Adria-Univ., Master-Arb., 2010KB2010 26(VLID)241590
R users can often solve optimization tasks easily using the tools in the optim function in the stats...
We present a flexible software environment, named DistOpt, which is useful in building coarse-grain ...
An overview of the software design, methods and data abstraction of the OptiLab framework is present...
<p>The software requires access to a library of characterized parts (such as a subset of the parts a...
The aim of the thesis is to design and implement an efficient tool for research and testing of algor...
Abstract: For those interested in tackling industrial optimization problems, typical approaches incl...
Conventionally, optimization problems are usually solved by first deriving governing equations for o...
The OPTool package is an implementation of various state-of-the-art iterative optimization algorithm...
The objective of this paper is the introduction to a unified optimization framework for research and...
Optimization Methods and Software publishes refereed papers on the latest developments in the theory...
This article discusses the algorithm for solving optimization problems and the creation of software....
The paper describes the main characteristics of the software optimization process. The quality chara...
Optimization is a critical area in the fields of science, engineering, and mathematics. It involves ...
Analysis of optimisation and decision-making theories was made during this master degree thesis. The...
Umair Ali KhanKlagenfurt, Alpen-Adria-Univ., Master-Arb., 2010KB2010 26(VLID)241590
R users can often solve optimization tasks easily using the tools in the optim function in the stats...
We present a flexible software environment, named DistOpt, which is useful in building coarse-grain ...
An overview of the software design, methods and data abstraction of the OptiLab framework is present...
<p>The software requires access to a library of characterized parts (such as a subset of the parts a...
The aim of the thesis is to design and implement an efficient tool for research and testing of algor...
Abstract: For those interested in tackling industrial optimization problems, typical approaches incl...
Conventionally, optimization problems are usually solved by first deriving governing equations for o...
The OPTool package is an implementation of various state-of-the-art iterative optimization algorithm...
The objective of this paper is the introduction to a unified optimization framework for research and...
Optimization Methods and Software publishes refereed papers on the latest developments in the theory...
This article discusses the algorithm for solving optimization problems and the creation of software....
The paper describes the main characteristics of the software optimization process. The quality chara...
Optimization is a critical area in the fields of science, engineering, and mathematics. It involves ...
Analysis of optimisation and decision-making theories was made during this master degree thesis. The...
Umair Ali KhanKlagenfurt, Alpen-Adria-Univ., Master-Arb., 2010KB2010 26(VLID)241590
R users can often solve optimization tasks easily using the tools in the optim function in the stats...
We present a flexible software environment, named DistOpt, which is useful in building coarse-grain ...