Linear Programming Computation

With emphasis on computation, this book is a real breakthrough in the field of LP. In addition to conventional topics, such as the simplex method, duality, and interior-point methods, all deduced in a fresh and clear manner, it introduces the state of the art by highlighting brand-new and advanced r...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: PAN, Ping-Qi (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a PAN, Ping-Qi.  |e author. 
245 1 0 |a Linear Programming Computation  |h [electronic resource] /  |c by Ping-Qi PAN. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2014. 
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505 0 |a Introduction -- Geometry of the Feasible Region -- Simplex Method -- Duality principle and dual simplex method -- Implementation of the Simplex Method -- Sensitivity Analysis and Parametric LP -- Variants of the Simplex Method -- Decomposition Method -- Interior Point Method -- Integer Linear Programming (ILP) -- Pivot Rule -- Dual Pivot Rule -- Simplex Phase-I Method -- Dual Simplex Phase-l Method -- Reduced Simplex Method -- Improved Reduced Simplex Method -- D-Reduced Simplex Method -- Criss-Cross Simplex Method -- Generalizing Reduced Simplex Method -- Deficient-Basis Method -- Dual Deficient-Basis Method -- Face Method -- Dual Face Method -- Pivotal interior-point Method -- Special Topics -- Appendix -- References. 
520 |a With emphasis on computation, this book is a real breakthrough in the field of LP. In addition to conventional topics, such as the simplex method, duality, and interior-point methods, all deduced in a fresh and clear manner, it introduces the state of the art by highlighting brand-new and advanced results, including efficient pivot rules, Phase-I approaches, reduced simplex methods, deficient-basis methods, face methods, and pivotal interior-point methods. In particular, it covers the determination of the optimal solution set, feasible-point simplex method, decomposition principle for solving large-scale problems, controlled-branch method based on generalized reduced simplex framework for solving integer LP problems. 
650 0 |a Mathematics. 
650 0 |a Matrix theory. 
650 0 |a Algebra. 
650 0 |a Economics. 
650 0 |a Management science. 
650 1 4 |a Mathematics. 
650 2 4 |a Linear and Multilinear Algebras, Matrix Theory. 
650 2 4 |a Mathematics, general. 
650 2 4 |a Economics, general. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642407536 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-40754-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)