Compact extended linear programming models

• 作者： Lancia, Giuseppe, author.
• 其他作者：
  • Serafini, Paolo, author.
  • SpringerLink (Online service)
• 其他題名：
  • EURO advanced tutorials on operational research.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： EURO advanced tutorials on operational research,
• 主題： Business. , Data mining. , Mathematical models. , Operations research. , Management science. , Business and Management. , Operations Research/Decision Theory. , Operations Research, Management Science. , Mathematical Modeling and Industrial Mathematics. , Data Mining and Knowledge Discovery.
• ISBN： 9783319639765 (electronic bk.) 、 9783319639758 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Introduction -- Polyhedra -- Linear Programming -- Integer Linear Programming -- Large-scale Linear Programming -- General Techniques for Compact Formulations -- The Permutahedron -- The Parity Polytope -- Trees -- Cuts and Induced Bipartite Subgraphs -- Stable Sets -- Traveling Salesman Problems -- Packing -- Scheduling -- Computational Biology Problems.
• More
• 摘要註: This book provides a handy, unified introduction to the theory of compact extended formulations of exponential-size integer linear programming (ILP) models. Compact extended formulations are equally powerful polynomial-sized models whose solutions do not require the implementation of separation and pricing procedures. The book is written in a general, didactic form, first developing the background theoretical concepts (polyhedra, projections, linear and integer programming) and then delving into the various techniques for compact extended reformulations. The techniques are illustrated through a wealth of examples touching on many application areas, such as classical combinatorial optimization, network design, timetabling, scheduling, routing, computational biology and bioinformatics. The book is intended for graduate or PhD students - either as an advanced course on selected topics or within a more general course on ILP and mathematical programming - as well as for practitioners and software engineers in industry exploring techniques for developing optimization models for their specific problems.
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: