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Optimization Methods and Software

Optimization Methods and Software
Optimization Methods and Software
Optimization Methods and Software publishes refereed papers on the latest developments in the theory and realization of optimization methods, with particular emphasis on the interface between software development and algorithm design.

Topics include:

* Theory, implementation and performance evaluation of algorithms and computer codes for linear, nonlinear, discrete, stochastic optimization and optimal control. This includes in particular conic, semi-definite, mixed integer, network, non-smooth, multi-objective and global optimization by deterministic or nondeterministic algorithms.
* Algorithms and software for complementarity, variational inequalities and equilibrium problems, and also for solving inverse problems, systems of nonlinear equations and the numerical study of parameter dependent operators.
* Various aspects of efficient and user-friendly implementations: e.g. automatic differentiation, massively parallel optimization, distributed computing, on-line algorithms, error sensitivity and validity analysis, problem scaling, stopping criteria and symbolic numeric interfaces.
* Theoretical studies with a clear potential for applicability, as well as successful applications of optimization methods and software in specific areas such as engineering, machine learning, data mining, economics, finance, biology, or medicine.
1055-6788
Burachik, Regina
9fe5b9d6-5140-45f5-b6b9-8e6ad7c1671f
Kocvara, Michal
2eddec37-90a1-40b1-8403-32a8c1127619
Fliege, Joerg
54978787-a271-4f70-8494-3c701c893d98
Burachik, Regina
9fe5b9d6-5140-45f5-b6b9-8e6ad7c1671f
Kocvara, Michal
2eddec37-90a1-40b1-8403-32a8c1127619
Fliege, Joerg
54978787-a271-4f70-8494-3c701c893d98

Burachik, Regina, Kocvara, Michal and Fliege, Joerg (eds.) (2010) Optimization Methods and Software. Optimization Methods and Software, 25 (2). (In Press)

Record type: Article

Abstract

Optimization Methods and Software publishes refereed papers on the latest developments in the theory and realization of optimization methods, with particular emphasis on the interface between software development and algorithm design.

Topics include:

* Theory, implementation and performance evaluation of algorithms and computer codes for linear, nonlinear, discrete, stochastic optimization and optimal control. This includes in particular conic, semi-definite, mixed integer, network, non-smooth, multi-objective and global optimization by deterministic or nondeterministic algorithms.
* Algorithms and software for complementarity, variational inequalities and equilibrium problems, and also for solving inverse problems, systems of nonlinear equations and the numerical study of parameter dependent operators.
* Various aspects of efficient and user-friendly implementations: e.g. automatic differentiation, massively parallel optimization, distributed computing, on-line algorithms, error sensitivity and validity analysis, problem scaling, stopping criteria and symbolic numeric interfaces.
* Theoretical studies with a clear potential for applicability, as well as successful applications of optimization methods and software in specific areas such as engineering, machine learning, data mining, economics, finance, biology, or medicine.

Full text not available from this repository.

More information

Accepted/In Press date: 22 March 2010
Venue - Dates: EUROPT-OMS, Czech Republic, 2007-01-01 - 2007-01-01
Organisations: Operational Research

Identifiers

Local EPrints ID: 79931
URI: https://eprints.soton.ac.uk/id/eprint/79931
ISSN: 1055-6788
PURE UUID: 08ad68b3-a197-4172-87a3-57e4e8b7e25c
ORCID for Joerg Fliege: ORCID iD orcid.org/0000-0002-4459-5419

Catalogue record

Date deposited: 22 Mar 2010
Last modified: 08 Nov 2018 01:32

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