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A First Course in Combinatorial Optimization Hardback: 36 (Cambridge Texts in Applied Mathematics, Series Number 36) - Hardcover
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This 2004 text is for a one-semester introductory graduate course for students of operations research, mathematics, and computer science covers linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. The author focuses on the key mathematical ideas that lead to useful models and algorithms.
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Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.
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A First Course in Combinatorial Optimization (Cambridge Texts in Applied Mathematics, Series Number 36)
Verlag:
Cambridge University Press, 2004
ISBN 10: 0521811511
ISBN 13: 9780521811514
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A First Course in Combinatorial Optimization (Cambridge Texts in Applied Mathematics, Series Number 36)
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A First Course in Combinatorial Optimization (Hardcover)
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Cambridge University Press, Cambridge, 2004
ISBN 10: 0521811511
ISBN 13: 9780521811514
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Hardcover. Zustand: new. Hardcover. A First Course in Combinatorial Optimization is a text for a one-semester introductory graduate-level course for students of operations research, mathematics, and computer science. It is a self-contained treatment of the subject, requiring only some mathematical maturity. Topics include: linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Central to the exposition is the polyhedral viewpoint, which is the key principle underlying the successful integer-programming approach to combinatorial-optimization problems. Another key unifying topic is matroids. The author does not dwell on data structures and implementation details, preferring to focus on the key mathematical ideas that lead to useful models and algorithms. Problems and exercises are included throughout as well as references for further study. Jon Lee focuses on key mathematical ideas leading to useful models and algorithms, rather than on data structures and implementation details, in this introductory graduate-level text for students of operations research, mathematics, and computer science. The viewpoint is polyhedral, and Lee also uses matroids as a unifying idea. Topics include linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Problems and exercises are included throughout as well as references for further study. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9780521811514
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A First Course in Combinatorial Optimization (Cambridge Texts in Applied Mathematics, Series Number 36)
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A First Course in Combinatorial Optimization (Hardcover)
Verlag:
Cambridge University Press, Cambridge, 2004
ISBN 10: 0521811511
ISBN 13: 9780521811514
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Hardcover. Zustand: new. Hardcover. A First Course in Combinatorial Optimization is a text for a one-semester introductory graduate-level course for students of operations research, mathematics, and computer science. It is a self-contained treatment of the subject, requiring only some mathematical maturity. Topics include: linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Central to the exposition is the polyhedral viewpoint, which is the key principle underlying the successful integer-programming approach to combinatorial-optimization problems. Another key unifying topic is matroids. The author does not dwell on data structures and implementation details, preferring to focus on the key mathematical ideas that lead to useful models and algorithms. Problems and exercises are included throughout as well as references for further study. Jon Lee focuses on key mathematical ideas leading to useful models and algorithms, rather than on data structures and implementation details, in this introductory graduate-level text for students of operations research, mathematics, and computer science. The viewpoint is polyhedral, and Lee also uses matroids as a unifying idea. Topics include linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Problems and exercises are included throughout as well as references for further study. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9780521811514
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