Titlebook: Evaluating Mathematical Programming Techniques; Proceedings of a Con John M. Mulvey Conference proceedings 1982 Springer-Verlag Berlin Heid

執(zhí)

Implementing an Algorithm: Performance Considerations and a Case Studyhms for solving multidimensional knapsack problems was implemented in three different FORTRAN programs. Starting from a straightforward program, we introduce increasingly sophisticated data structures to improve the virtual execution time of the programs. All programs were compiled with the enhanced

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Which Options Provide the Quickest Solutionsorithm will always eventually find a solution, the important question is which combination of options is likely to be “best”. A general statistical approach to answering this question is illustrated in the context of a new integer linear programming algorithm where “best” is quickest.

Anguish

Comparative Computational Studies in Mathematical Programminge recent computational studies with differing viewpoints. The authors of these studies will make a brief presentation** outlining the methodology they used, their views on the good and bad points in the study, and their suggestions for future studies. Following these presentations members of the pan

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Comments on Evaluating Algorithms and Codes for Mathematical Programmingen and Ragsdell [5], and Schittkowski [7], and give some of our views on this subject. We suggest the papers by Gill and Murray [2] and Moré [4], and the book they are contained in (Fosdick [1]), as other important reading on this subject.

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Foment

In Pursuit of a Methodology for Testing Mathematical Programming SoftwareAlgorithms of the Mathematical Programming Society has developed guidelines which present minimum standards to which all papers reporting such efforts should conform. Although guidelines now exist, the development of sound methodologies for this testing is at the embryonic stage. This paper surveys

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https://doi.org/10.1007/978-1-349-06293-5Real problems are viewed as realizations from a test population of interest, and random problems are treated as models for the population. Methodological advantages and difficulties inherent in the alternatives are highlighted, and methods for dealing with the limitations discussed.

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Peter O. Christensen,Gerald A. Felthamoblem generators that can match the overall structure and parameter values of these problems. Of particular interest are management problems that can be modeled using a network structure. This paper discusses the design of a system for generating network-based mathematical programming test problems