Interval Linear Programming and Extensions - Hladík, Milan
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Présentation Interval Linear Programming And Extensions de Hladík, Milan Format Relié
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Résumé : Preface.- Preliminaries.- Part I. Interval Computation.- Introduction.- Interval Systems of Linear Equations.- General Interval Linear Systems.- Part II. Interval Linear Programming.- Introduction to Interval Linear Programming.- Optimal Value Range.- Basis Stability.- Optimal Solution Set.- Other Issues.- Special Interval Cases.- Special LP Cases.- Applications.- Part III. Extensions.- Interval Multiobjective Linear Programming.- Nonlinear Programming Problems with Interval Data.- AE Interval Linear Programming.- General Parameter and Enclosing Sets.- References.- Index.
Biographie:
Milan Hlad?k is a professor of computer science at Charles University in Prague, Czech Republic. He obtained his PhD in Econometrics and Operations Research from the Faculty of Mathematics and Physics, Charles University in Prague. In 2008, he worked as a postdoc researcher in Coprin team at INRIA, Sophia Antipolis, France. Now, he is a full professor at the Department of Applied Mathematics of the Charles University. His main areas of research are interval computation and optimization, however, he also contributes to operations research, game theory, machine learning, linear algebra and matrix analysis. He is a member of the editorial board of five journals, including European Journal of Operational Research, and Reliable Computing....
Sommaire: Milan Hlad?k is a professor of computer science at Charles University in Prague, Czech Republic. He obtained his PhD in Econometrics and Operations Research from the Faculty of Mathematics and Physics, Charles University in Prague. In 2008, he worked as a postdoc researcher in Coprin team at INRIA, Sophia Antipolis, France. Now, he is a full professor at the Department of Applied Mathematics of the Charles University. His main areas of research are interval computation and optimization, however, he also contributes to operations research, game theory, machine learning, linear algebra and matrix analysis. He is a member of the editorial board of five journals, including European Journal of Operational Research, and Reliable Computing.
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