bordeaux lucas hamadi youssef kohli (9 risultati)

Condizione: Good+. Hardcover, [xxi], 377 pages. Good+ condition. Size 10"x7". "Classical computer science textbooks tell us that some problems are 'hard'. Yet many areas, from machine learning and computer vision to theorem proving and software verification, have defined their own set of tools for effectively solving complex problems. Tractability provides an overview of these different techniques, and of the fundamental concepts and properties used to tame intractability. This book will help you understand what to do when facing a hard computational problem. Can the problem be modelled by convex, or submodular functions? Will the instances arising in practice be of low treewidth, or exhibit another specific graph structure that makes them easy? Is it acceptable to use scalable, but approximate algorithms? A wide range of approaches is presented through self-contained chapters written by authoritative researchers on each topic." Book has moderate shelfwear, boards are bumped on extremities. Interior text is Near Fine, clean and unmarked.

Condizione: Very Good.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New. pp. 396 75 Illus.

Hardcover. Condizione: Brand New. 377 pages. 10.00x7.00x1.00 inches. In Stock.

Hardcover. Condizione: new. Hardcover. Classical computer science textbooks tell us that some problems are 'hard'. Yet many areas, from machine learning and computer vision to theorem proving and software verification, have defined their own set of tools for effectively solving complex problems. Tractability provides an overview of these different techniques, and of the fundamental concepts and properties used to tame intractability. This book will help you understand what to do when facing a hard computational problem. Can the problem be modelled by convex, or submodular functions? Will the instances arising in practice be of low treewidth, or exhibit another specific graph structure that makes them easy? Is it acceptable to use scalable, but approximate algorithms? A wide range of approaches is presented through self-contained chapters written by authoritative researchers on each topic. As a reference on a core problem in computer science, this book will appeal to theoreticians and practitioners alike. Many computational problems cannot be solved efficiently according to classical computer science textbooks. Tractability gives a cross-disciplinary overview of the advanced techniques that have been developed in order to solve these 'hard' computational problems, and a unified presentation of the properties that can be exploited to make them tractable. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: new. Hardcover. Classical computer science textbooks tell us that some problems are 'hard'. Yet many areas, from machine learning and computer vision to theorem proving and software verification, have defined their own set of tools for effectively solving complex problems. Tractability provides an overview of these different techniques, and of the fundamental concepts and properties used to tame intractability. This book will help you understand what to do when facing a hard computational problem. Can the problem be modelled by convex, or submodular functions? Will the instances arising in practice be of low treewidth, or exhibit another specific graph structure that makes them easy? Is it acceptable to use scalable, but approximate algorithms? A wide range of approaches is presented through self-contained chapters written by authoritative researchers on each topic. As a reference on a core problem in computer science, this book will appeal to theoreticians and practitioners alike. Many computational problems cannot be solved efficiently according to classical computer science textbooks. Tractability gives a cross-disciplinary overview of the advanced techniques that have been developed in order to solve these 'hard' computational problems, and a unified presentation of the properties that can be exploited to make them tractable. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. Classical computer science textbooks tell us that some problems are 'hard'. Yet many areas, from machine learning and computer vision to theorem proving and software verification, have defined their own set of tools for effectively solving complex problems. Tractability provides an overview of these different techniques, and of the fundamental concepts and properties used to tame intractability. This book will help you understand what to do when facing a hard computational problem. Can the problem be modelled by convex, or submodular functions? Will the instances arising in practice be of low treewidth, or exhibit another specific graph structure that makes them easy? Is it acceptable to use scalable, but approximate algorithms? A wide range of approaches is presented through self-contained chapters written by authoritative researchers on each topic. As a reference on a core problem in computer science, this book will appeal to theoreticians and practitioners alike. Many computational problems cannot be solved efficiently according to classical computer science textbooks. Tractability gives a cross-disciplinary overview of the advanced techniques that have been developed in order to solve these 'hard' computational problems, and a unified presentation of the properties that can be exploited to make them tractable. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.