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Présentation Evaluating Mathematical Programming Techniques Format Broché
- Livre Économie
Sommaire:
Opening Address.- 1. Design and Use of Problem Generators and Hand Selected Test Cases.- Test problems for computational experiments -- issues and techniques.- NETGEN-II: A system for generating structured network-based mathematical programming test problems.- The definition and generation of geometrically random linear constraint sets.- Construction of nonlinear programming test problems with known solution characteristics.- A comparison of real-world linear programs and their randomly generated analogs.- 2. Nonlinear Optimization Codes and Empirical Tests.- Evidence of fundamental difficulties in nonlinear optimization code comparisons.- A statistical review of the Sandgren-Ragsdell comparative study.- A methodological approach to testing of NLP-software.- 3. Integer Programming and Combinatorial Optimization.- A computational comparison of five heuristic algorithms for the Euclidean traveling salesman problem.- Implementing an algorithm: performance considerations and a case study.- Which options provide the quickest solutions.- An integer programming test problem generator.- 4. Comparative Computational Studies in Mathematical Programming.- Remarks on the evaluation of nonlinear programming algorithms.- Comments on evaluating algorithms and codes for mathematical programming.- Some comments on recent computational testing in mathematical programming.- Remarks on the comparative experiments of Miele, Sandgren and Schittkowski.- 5. Testing Methodologies.- In pursuit of a methodology for testing mathematical programming software.- Nonlinear programming methods with linear least squares subproblems.- An outline for comparison testing of mathematical software -- illustrated by comparison testings of software which solves systems of nonlinear equations.- A portable package for testing minimization algorithms.- 6. Approaches to Software Testing from Other Disciplines.- Transportable test procedures for elementary function software.- Testing and evaluation of statistical software.- TOOLPACK -- An integrated system of tools for mathematical software development.- Overview of testing numerical software.- The application of Halstead's software science difficulty measure to a set of programming projects.- 7. Special Topics.- Mathematical programming algorithms in APL.- 8. Advances in Networks.- Solution strategies and algorithm behavior in large-scale network codes.- Recursive piecewise-linear approximation methods for nonlinear networks.- Computational testing of assignment algorithms.- 9. On Establishing a Group for Testing Mathematical Programs.- 10. Appendix.- Conference program.- List of participants.- A model for the performance evaluation in comparative studies.- Remarks on the comparative evaluation of algorithms for mathematical programming problems.- Comments on a testing center.- Systematic approach for comparing the computational speed of unconstrained minimization algorithms.- The evaluation of optimization software for engineering design.
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