Interval Linear Programming and Extensions

Inbunden, Engelska, 2025

Del 208 i serien Springer Optimization and Its Applications

2 110 kr

Beställningsvara. Skickas inom 7-10 vardagar. Fri frakt över 249 kr.

Beskrivning

This book delves into the intricate world of interval programming, offering a comprehensive exploration of mathematical programming problems characterized by interval data.

Produktinformation

Utgivningsdatum:2025-06-01
Mått:155 x 235 x 36 mm
Vikt:996 g
Format:Inbunden
Språk:Engelska
Serie:Springer Optimization and Its Applications
Antal sidor:537
Förlag:Springer International Publishing AG
ISBN:9783031850950

Utforska kategorier

Optimering inom Naturvetenskap och teknik
Matematisk statistik inom Naturvetenskap och teknik
Algebra inom Naturvetenskap och teknik

Mer om författaren

Milan Hladík 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.

Innehållsförteckning

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.