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ISBN 10: 1316636836 ISBN 13: 9781316636831
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ISBN 10: 1316636836 ISBN 13: 9781316636831
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Published by Cambridge University Press, 2019
ISBN 10: 1316636836 ISBN 13: 9781316636831
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Published by Cambridge University Press, 2019
ISBN 10: 1316636836 ISBN 13: 9781316636831
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ISBN 10: 1316636836 ISBN 13: 9781316636831
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Paperback. Condition: Brand New. 314 pages. 9.00x6.00x1.00 inches. In Stock.
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Published by Cambridge University Press, 2019
ISBN 10: 1107185890 ISBN 13: 9781107185890
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Published by Cambridge University Press, 2019
ISBN 10: 1316636836 ISBN 13: 9781316636831
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Condition: New. This comprehensive text and reference for graduate students and professionals in theoretical computer science, operations research, and discrete math offers an up-to-date, unified view of efficient combinatorial algorithms for a wide variety of network flow.
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Published by Cambridge University Press, 2019
ISBN 10: 1107185890 ISBN 13: 9781107185890
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Published by Cambridge University Press, 2019
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ISBN 10: 1107185890 ISBN 13: 9781107185890
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ISBN 10: 1316636836 ISBN 13: 9781316636831
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Offers an up-to-date, unified treatment of combinatorial algorithms to solve network flow problems for graduate students and professionals.
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Published by Cambridge University Press, 2019
ISBN 10: 1107185890 ISBN 13: 9781107185890
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Add to basketHardback. Condition: New. Network flow theory has been used across a number of disciplines, including theoretical computer science, operations research, and discrete math, to model not only problems in the transportation of goods and information, but also a wide range of applications from image segmentation problems in computer vision to deciding when a baseball team has been eliminated from contention. This graduate text and reference presents a succinct, unified view of a wide variety of efficient combinatorial algorithms for network flow problems, including many results not found in other books. It covers maximum flows, minimum-cost flows, generalized flows, multicommodity flows, and global minimum cuts and also presents recent work on computing electrical flows along with recent applications of these flows to classical problems in network flow theory.
Language: English
Published by Cambridge University Press, 2019
ISBN 10: 1107185890 ISBN 13: 9781107185890
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Published by Cambridge University Press, 2019
ISBN 10: 1107185890 ISBN 13: 9781107185890
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Published by Cambridge University Press, 2019
ISBN 10: 1107185890 ISBN 13: 9781107185890
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Network flow theory has been used across a number of disciplines, including theoretical computer science, operations research, and discrete math, to model not only problems in the transportation of goods and information, but also a wide range of applications from image segmentation problems in computer vision to deciding when a baseball team has been eliminated from contention. This graduate text and reference presents a succinct, unified view of a wide variety of efficient combinatorial algorithms for network flow problems, including many results not found in other books. It covers maximum flows, minimum-cost flows, generalized flows, multicommodity flows, and global minimum cuts and also presents recent work on computing electrical flows along with recent applications of these flows to classical problems in network flow theory.
Language: English
Published by Cambridge University Press, GB, 2019
ISBN 10: 1107185890 ISBN 13: 9781107185890
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Add to basketHardback. Condition: New. Network flow theory has been used across a number of disciplines, including theoretical computer science, operations research, and discrete math, to model not only problems in the transportation of goods and information, but also a wide range of applications from image segmentation problems in computer vision to deciding when a baseball team has been eliminated from contention. This graduate text and reference presents a succinct, unified view of a wide variety of efficient combinatorial algorithms for network flow problems, including many results not found in other books. It covers maximum flows, minimum-cost flows, generalized flows, multicommodity flows, and global minimum cuts and also presents recent work on computing electrical flows along with recent applications of these flows to classical problems in network flow theory.
Language: English
Published by Cambridge University Press, Cambridge, 2019
ISBN 10: 1316636836 ISBN 13: 9781316636831
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Paperback. Condition: new. Paperback. Network flow theory has been used across a number of disciplines, including theoretical computer science, operations research, and discrete math, to model not only problems in the transportation of goods and information, but also a wide range of applications from image segmentation problems in computer vision to deciding when a baseball team has been eliminated from contention. This graduate text and reference presents a succinct, unified view of a wide variety of efficient combinatorial algorithms for network flow problems, including many results not found in other books. It covers maximum flows, minimum-cost flows, generalized flows, multicommodity flows, and global minimum cuts and also presents recent work on computing electrical flows along with recent applications of these flows to classical problems in network flow theory. This comprehensive text and reference for graduate students and professionals in theoretical computer science, operations research, and discrete math offers an up-to-date, unified view of efficient combinatorial algorithms for a wide variety of network flow problems, including recent work on computing electrical flows and their applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condition: Brand New. 314 pages. 9.00x6.00x1.00 inches. In Stock. This item is printed on demand.
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ISBN 10: 1316636836 ISBN 13: 9781316636831
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Published by Cambridge University Press, Cambridge, 2019
ISBN 10: 1316636836 ISBN 13: 9781316636831
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Paperback. Condition: new. Paperback. Network flow theory has been used across a number of disciplines, including theoretical computer science, operations research, and discrete math, to model not only problems in the transportation of goods and information, but also a wide range of applications from image segmentation problems in computer vision to deciding when a baseball team has been eliminated from contention. This graduate text and reference presents a succinct, unified view of a wide variety of efficient combinatorial algorithms for network flow problems, including many results not found in other books. It covers maximum flows, minimum-cost flows, generalized flows, multicommodity flows, and global minimum cuts and also presents recent work on computing electrical flows along with recent applications of these flows to classical problems in network flow theory. This comprehensive text and reference for graduate students and professionals in theoretical computer science, operations research, and discrete math offers an up-to-date, unified view of efficient combinatorial algorithms for a wide variety of network flow problems, including recent work on computing electrical flows and their applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Cambridge University Press, 2019
ISBN 10: 1107185890 ISBN 13: 9781107185890
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Published by Cambridge University Press, Cambridge, 2019
ISBN 10: 1107185890 ISBN 13: 9781107185890
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Hardcover. Condition: new. Hardcover. Network flow theory has been used across a number of disciplines, including theoretical computer science, operations research, and discrete math, to model not only problems in the transportation of goods and information, but also a wide range of applications from image segmentation problems in computer vision to deciding when a baseball team has been eliminated from contention. This graduate text and reference presents a succinct, unified view of a wide variety of efficient combinatorial algorithms for network flow problems, including many results not found in other books. It covers maximum flows, minimum-cost flows, generalized flows, multicommodity flows, and global minimum cuts and also presents recent work on computing electrical flows along with recent applications of these flows to classical problems in network flow theory. This comprehensive text and reference for graduate students and professionals in theoretical computer science, operations research, and discrete math offers an up-to-date, unified view of efficient combinatorial algorithms for a wide variety of network flow problems, including recent work on computing electrical flows and their applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.