Learning with Submodular Functions: A Convex Optimization Perspective (Foundations and Trends(r) in Machine Learning): 19 (Foundations and Trends® in Machine Learning)

New
Illustrated
2014
$81.02

Presents the theory of submodular functions in a self-contained way from a convex analysis perspective, presenting tight links between certain polyhedra, combinatorial optimization and convex optimization problems.

Synopsis

Presents the theory of submodular functions in a self-contained way from a convex analysis perspective, presenting tight links between certain polyhedra, combinatorial optimization and convex optimization problems.

$81.02

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10 in stock

More Information

Format: Illustrated
Pages: 258
Edition: Illustrated
Publisher: now publishers Inc
Published: 28 Feb 2014
ISBN 10: 1601987560
ISBN 13: 9781601987563

Learning with Submodular Functions: A Convex Optimization Perspective (Foundations and Trends(r) in Machine Learning): 19 (Foundations and Trends® in Machine Learning)

New

$81.02

Synopsis

$81.02

More Information