Picture 1 of 6
Stock photo
Picture 1 of 6
Stock photo
Computer Science : An Interdisciplinary Approach by Robert Sedgewick and Kevin Wayne (2016, Hardcover)
Have it all78 (4568)
99.5% positive feedback
Price:
US $49.99
ApproximatelyC $68.91
+ $50.37 shipping
Returns:
30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Condition:
- Buy It NowComputer Science : An Interdisciplinary Approach by Robert Sedgewick
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
About this product
Product Identifiers
PublisherAddison Wesley Professional
ISBN-100134076427
ISBN-139780134076423
eBay Product ID (ePID)212055142
Product Key Features
Number of Pages1168 Pages
Publication NameComputer Science : an Interdisciplinary Approach
LanguageEnglish
SubjectComputer Science, General
Publication Year2016
TypeTextbook
AuthorRobert Sedgewick, Kevin Wayne
Subject AreaComputers
FormatHardcover
Dimensions
Item Height2 in
Item Weight67 Oz
Item Length9.4 in
Item Width7.7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2016-936496
Dewey Edition23
IllustratedYes
Dewey Decimal004
Table Of ContentPreface xiii Chapter 1: Elements of Programming 1 1.1 Your First Program 2 1.2 Built-in Types of Data 14 1.3 Conditionals and Loops 50 1.4 Arrays 90 1.5 Input and Output 126 1.6 Case Study: Random Web Surfer 170 Chapter 2: Functions and Modules 191 2.1 Defining Functions 192 2.2 Libraries and Clients 226 2.3 Recursion 262 2.4 Case Study: Percolation 300 Chapter 3: Object-Oriented Programming 329 3.1 Using Data Types 330 3.2 Creating Data Types 382 3.3 Designing Data Types 428 3.4 Case Study: N-Body Simulation 478 Chapter 4: Algorithms and Data Structures 493 4.1 Performance 494 4.2 Sorting and Searching 532 4.3 Stacks and Queues 566 4.4 Symbol Tables 624 4.5 Case Study: Small-World Phenomenon 670 Chapter 5: Theory of Computing 715 5.1 Formal Languages 718 5.2 Turing Machines 766 5.3 Universality 786 5.4 Computability 806 5.5 Intractability 822 Chapter 6: A Computing Machine 873 6.1 Representing Information 874 6.2 TOY Machine 906 6.3 Machine-Language Programming 930 6.4 TOY Virtual Machine 958 Chapter 7: Building a Computing Device 985 7.1 Boolean Logic 986 7.2 Basic Circuit Model 1002 7.3 Combinational Circuits 1012 7.4 Sequential Circuits 1048 7.5 Digital Devices 1070 Context 1093 Glossary 1097 Index 1107 APIs 1139
SynopsisRobert Sedgewick and Kevin Wayne's Computer Science: An Interdisciplinary Approach is the ideal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing. The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today's environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction. Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation's performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field's history and evolution. For each concept, the authors present all the information readers need to build confidence, together with examples that solve intriguing problems. Each chapter contains question-and-answer sections, self-study drills, and challenging problems that demand creative solutions. Companion web site (introcs.cs.princeton.edu/java) contains Extensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQs Graphics and sound libraries Links to program code and test data Solutions to selected exercises Chapter summaries Detailed instructions for installing a Java programming environment Detailed problem sets and projects Companion 20-part series of video lectures is available at informit.com/title/9780134493831, Named a Notable Book in the 21st Annual Best of Computing list by the ACM Robert Sedgewick and Kevin Wayne's Computer Science: An Interdisciplinary Approach is the ideal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing. The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today's environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction. Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation's performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field's history and evolution. For each concept, the authors present all the information readers need to build confidence, together with examples that solve intriguing problems. Each chapter contains question-and-answer sections, self-study drills, and challenging problems that demand creative solutions. Companion web site (introcs.cs.princeton.edu/java) contains Extensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQs Graphics and sound libraries Links to program code and test data Solutions to selected exercises Chapter summaries Detailed instructions for installing a Java programming environment Detailed problem sets and projects Companion 20-part series of video lectures is available at informit.com/title/9780134493831, Named a Notable Book in the 21st Annual Best of Computing list by the ACM! Robert Sedgewick and Kevin Wayne's Computer Science: An Interdisciplinary Approach is the ideal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing. The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today's environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction. Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation's performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field's history and evolution. For each concept, the authors present all the information readers need to build confidence, together with examples that solve intriguing problems. Each chapter contains question-and-answer sections, self-study drills, and challenging problems that demand creative solutions. Companion web site (introcs.cs.princeton.edu/java) contains Extensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQs Graphics and sound libraries Links to program code and test data Solutions to selected exercises Chapter summaries Detailed instructions for installing a Java programming environment Detailed problem sets and projects Companion 20-part series of video lectures is available at informit.com/title/9780134493831, Today, learning to program and understanding the basics of computation isn't just indispensable for every science and engineering student: it's crucial for everyone who wants to understand the world they live in. In Computer Science: An Interdisciplinary Approach , pioneering Princeton computer science professors Robert Sedgewick and Kevin Wayne introduce core Java programming techniques in a scientific context, while also demystifying computation and illuminating its intellectual underpinnings.
LC Classification NumberQA76.27
All listings for this product
Ratings and Reviews
Most relevant reviews
- Mar 28, 2025
excellent text
great bookVerified purchase: YesCondition: Pre-owned
