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eBook More Test Examples for Nonlinear Programming Codes (Lecture Notes in Economics and Mathematical Systems) ePub

by Klaus Schittkowski

eBook More Test Examples for Nonlinear Programming Codes (Lecture Notes in Economics and Mathematical Systems) ePub
Author: Klaus Schittkowski
Language: English
ISBN: 3540171827
ISBN13: 978-3540171829
Publisher: Springer; 1987 edition (December 17, 1986)
Pages: 268
Category: Mathematics
Subcategory: Science
Rating: 4.5
Votes: 959
Formats: lrf docx azw lrf
ePub file: 1222 kb
Fb2 file: 1898 kb

Lecture Notes in Economics and Mathematical Systems. This collection of 188 nonlinear programming test examples is a supplement of the test problem collection published by Hock and Schittkowski

Lecture Notes in Economics and Mathematical Systems. More Test Examples for Nonlinear Programming Codes. Authors: Schittkowski, Klaus. This collection of 188 nonlinear programming test examples is a supplement of the test problem collection published by Hock and Schittkowski. As in the former case, the intention is to present an extensive set of nonlinear programming problems that were used by other authors in the past to develop, test or compare optimization algorithms. There is no distinction between an "easy" or "difficult" test problem, since any related classification must depend on the underlying algorithm and test design.

The increasing importance of nonlinear programming software requires an enlarged . cle{Hock1980TestEF, title {Test examples for nonlinear programming codes}, author {W.

The increasing importance of nonlinear programming software requires an enlarged set of test examples. The purpose of this note is to point out how an interested mathematical programmer could obtain computer programs of more than 120 constrained nonlinear programming problems which have been used in the past to test and compare optimization codes. Hock and Klaus Schittkowski}, journal {Journal of Optimization Theory and Applications}, year {1980}, volume {30}, pages {127-129} }. W. Hock, Klaus Schittkowski.

This collection of 188 nonlinear programming test examples is a supplement of the test problem collection published by Hock and Schittkowski.

PDF Most practical applications of multicriteria decision making can be. .This paper presents a mathematical programming algorithm for solving decision problems under multiple objectives and its application to th.

PDF Most practical applications of multicriteria decision making can be formulated in terms of efficient points determined by preference cones with. At the Institute of Economics at the University of Aachen we have an OR-Group, some members of which deal also with MCP. In this paper some of the recent results of this group are presented briefly.

Электронная книга "Test Examples for Nonlinear Programming Codes", W. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Test Examples for Nonlinear Programming Codes" для чтения в офлайн-режиме.

JOURNAL NAME: Theoretical Economics Letters, Vo. N., June 1, 2011. ABSTRACT: We propose a simple modification to the differentiable penalty methods for solving nonlinear programming problems. This modification decreases the penalty parameter and the ill-conditioning of the penalty method and leads to a faster convergence to the optimal solution. We extend the modification to the augmented Lagrangian method and report some numerical results on several nonlinear programming test problems, showing the effectiveness of the proposed approach.

Автор: Klaus Schittkowski Название: Nonlinear Programming Codes .

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Robust Methods and Asymptotic Theory in Nonlinear Econometrics (Lecture Notes in Economics and Mathematical Systems, 192). by. Herman J. Bierens (Author). Find all the books, read about the author, and more. Are you an author? Learn about Author Central.

This collection of 188 nonlinear programming test examples is a supplement of the test problem collection published by Hock and Schittkowski [2]. As in the former case, the intention is to present an extensive set of nonlinear programming problems that were used by other authors in the past to develop, test or compare optimization algorithms. There is no distinction between an "easy" or "difficult" test problem, since any related classification must depend on the underlying algorithm and test design. For instance, a nonlinear least squares problem may be solved easily by a special purpose code within a few iterations, but the same problem can be unsolvable for a general nonlinear programming code due to ill-conditioning. Thus one should consider both collections as a possible offer to choose some suitable problems for a specific test frame. One difference between the new collection and the former one pub­ lished by Hock and Schittkowski [2], is the attempt to present some more realistic or "real world" problems. Moreover a couple of non­ linear least squares test problems were collected which can be used e. g. to test data fitting algorithms. The presentation of the test problems is somewhat simplified and numerical solutions are computed only by one nonlinear programming code, the sequential quadratic programming algorithm NLPQL of Schittkowski [3]. But both test problem collections are implemeted in the same way in form of special FORTRAN­ subroutines, so that the same test programs can be used.
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