Abstract
Original language | English |
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Place of Publication | Dordrecht, The Netherlands |
Publisher | Kluwer Academic Publishers |
Number of pages | 337 |
ISBN (Print) | 1-4020-0852-X |
DOIs | |
Publication status | Published - 2002 |
Publication series
Name | Texts in the Mathematical Sciences |
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Publisher | Kluwer |
Volume | 24 |
ISSN (Print) | 0927-4529 |
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Keywords
- METIS-208582
Cite this
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Algorithmic Principles of Mathematical Programming. / Faigle, Ulrich; Kern, Walter ; Still, Georg.
Dordrecht, The Netherlands : Kluwer Academic Publishers, 2002. 337 p. (Texts in the Mathematical Sciences; Vol. 24).Research output: Book/Report › Book › Academic
TY - BOOK
T1 - Algorithmic Principles of Mathematical Programming
AU - Faigle, Ulrich
AU - Kern, Walter
AU - Still, Georg
PY - 2002
Y1 - 2002
N2 - Algorithmic Principles of Mathematical Programming investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Recent advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. This book offers a comprehensive introduction to the whole subject and leads the reader to the frontiers of current research. The prerequisites to use the book are very elementary. All the tools from numerical linear algebra and calculus are fully reviewed and developed. Rather than attempting to be encyclopedic, the book illustrates the important basic techniques with typical problems. The focus is on efficient algorithms with respect to practical usefulness. Algorithmic complexity theory is presented with the goal of helping the reader understand the concepts without having to become a theoretical specialist. Further theory is outlined and supplemented with pointers to the relevant literature.
AB - Algorithmic Principles of Mathematical Programming investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Recent advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. This book offers a comprehensive introduction to the whole subject and leads the reader to the frontiers of current research. The prerequisites to use the book are very elementary. All the tools from numerical linear algebra and calculus are fully reviewed and developed. Rather than attempting to be encyclopedic, the book illustrates the important basic techniques with typical problems. The focus is on efficient algorithms with respect to practical usefulness. Algorithmic complexity theory is presented with the goal of helping the reader understand the concepts without having to become a theoretical specialist. Further theory is outlined and supplemented with pointers to the relevant literature.
KW - METIS-208582
U2 - 10.1007/978-94-015-9896-5
DO - 10.1007/978-94-015-9896-5
M3 - Book
SN - 1-4020-0852-X
T3 - Texts in the Mathematical Sciences
BT - Algorithmic Principles of Mathematical Programming
PB - Kluwer Academic Publishers
CY - Dordrecht, The Netherlands
ER -