Algorithms

Sedgewick, Robert

Wayne, Kevin

Addison-Wesley Professional

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 <ul>
<li>Extensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQs</li> <li>Graphics and sound libraries</li> <li>Links to program code and test data</li> <li>Solutions to selected exercises</li> <li>Chapter summaries</li> <li>Detailed instructions for installing a Java programming environment</li> <li>Detailed problem sets and projects</li> </ul> Companion 20-part series of video lectures is available at informit.com/title/9780134493831

Computer Science: An Interdisciplinary Approach

Computers & Technology

Computer Science

Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it. Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience. This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes <ul>
<li> Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound </li> <li> Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused </li> <li> Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more </li> <li> Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables </li> <li> Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3 </li> </ul>
Drawing on their extensive classroom experience, the authors provide Q&amp;As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.

Introduction to Programming in Python: An Interdisciplinary Approach

Dondero, Robert

Programming

**Included in this Bundle** THE PRINT BOOK: This fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms is one of the most popular textbooks on algorithms today and is widely used in colleges and universities worldwide. The algorithms in this book — including 50 algorithms every programmer should know — represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering and for students who use computation in the liberal arts. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. THE LECTURE SERIES: There are 24 lecture videos that will be streamed on the Informit.com site; each lecture is approximately 60 to 75 minutes in length and focuses on a specific topic related to the Algorithms book. The lecture videos introduce viewers to fundamental data types, algorithms, and data structures, with emphasis on applications and scientific performance analysis of Java implementations. They also cover graph-processing algorithms, including minimum spanning tree and shortest paths algorithms, and string processing algorithms, including string sorts, tries, substring search, regular expressions, and data compression, and concludes with an overview placing the contents of the course in a larger context. The first 12 lecture videos cover elementary data structures, sorting, and searching. Topics covered in these videos include union-find, binary search, stacks, queues, bags, insertion sort, selection sort, shellsort, quicksort, 3-way quicksort, mergesort, heapsort, binary heaps, binary search trees, red-black trees, separate chaining and linear probing hash tables, Graham scan, and id-trees. Lecture videos 13 through 24 focus on graph and string-processing algorithms. Topics covered in these lecture videos include depth-first search, breadth-first search, topological sort, Kosaraju-Sharir, Kruskal, Prim, Dijkistra, Bellman-Ford, Ford-Fulkerson, LSD radix sort, MSD radix sort, 3-way radix quicksort, multiway tries, ternary search tries, Knuth-Morris-Pratt, Boyer-Moore, Rabin-Karp, regular expression matching, run-length coding, Huffman coding, LZW compression, and the Burrows-Wheeler transform. Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access code for the Video Lectures may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase.

Algorithms, Fourth Edition: Book and 24-Part Lecture Series

By emphasizing the application of computer programming not only in success stories in the software industry but also in familiar scenarios in physical and biological science, engineering, and applied mathematics, Introduction to Programming in Java takes an interdisciplinary approach to teaching programming with the Java™ programming language. Elements of Programming: Your First Program; Built-in Types of Data; Conditionals and Loops; Arrays; Input and Output. Functions and Modules: Static Methods; Libraries and Clients; Recursion. Object-Oriented Programming: Data Types; Creating Data Types; Designing Data Types. Algorithms and Data Structures: Performance; Sorting and Searching; Stacks and Queues; Symbol Tables. For all readers interested in introductory programming courses using the Java programming language.

Introduction to Programming in Java: An Interdisciplinary Approach

Pearson/Addison-Wesley

This fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing--including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu, contains <ul>
<li>An online synopsis </li>
<li>Full Java implementations </li>
<li>Test data </li>
<li>Exercises and answers </li>
<li>Dynamic visualizations </li>
<li>Lecture slides </li>
<li>Programming assignments with checklists </li>
<li>Links to related material </li> </ul>
The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

Algorithms (4th Edition)

Programming skills are indispensable in today’s world, not just for computer science students, but also for anyone in any scientific or technical discipline. Introduction to Programming in Java, Second Edition, by Robert Sedgewick and Kevin Wayne is an accessible, interdisciplinary treatment that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students and professionals to learn that programming is a natural, satisfying, and creative experience, and to become conversant with one of the world’s most widely used languages. This example-driven guide focuses on Java’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes <ul>
<li>Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound</li> <li>Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused</li> <li>Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables</li> <li>Applications from applied math, physics, chemistry, biology, and computer science</li> </ul>
Drawing on their extensive classroom experience, throughout the text the authors provide Q&amp;As, exercises, and opportunities for creative engagement with the material. Together with the companion materials described below, this book empowers people to pursue a modern approach to teaching and learning programming. Companion web site (introcs.cs.princeton.edu/java) contains <ul>
<li>Chapter summaries</li> <li>Supplementary exercises, some with solutions</li> <li>Detailed instructions for installing a Java programming environment</li> <li>Program code and test data suitable for easy download</li> <li>Detailed creative exercises, projects, and other supplementary materials</li> </ul>
Companion studio-produced online videos (informit.com/sedgewick) are available for purchase and provide students and professionals with the opportunity to engage with the material at their own pace and give instructors the opportunity to spend their time with students helping them to succeed on assignments and exams.

A contrarian challenge to the status quo, this book vigorously champions healthy skepticism in management theory and practice. Several common management maxims - often taken for granted as truisms - are examined and debunked with evidence-based arguments. The constant repetition of these flawed tropes perpetuates their mythological status and limits personal and organizational performance. Far from a business as usual business book, Deconstructing Management Maxims has been researched with academic rigor yet written in an approachable style. Unafraid of taking on conventional business wisdom, it contains some controversial yet substantiated positions that will provoke critical thinking and debate. After all, sacred cows and long-believed tenets of management lore do not go away quietly. A clear message from this book is that you don't have to believe everything you read or hear-be it in the classroom or at work! It offers a refreshing break from the constant drumbeat of dronish corporate and academic clichés. This book is best appreciated by readers wanting to think critically about important management phenomena.

Deconstructing Management Maxims, Volume I: A Critical Examination of Conventional Business Wisdom

Business & Money

Management & Leadership

Business Expert Press

A contrarian challenge to the status quo, this book vigorously champions healthy skepticism in management theory and practice. Several common management maxims - often taken for granted as truisms - are examined and debunked with evidence-based arguments. The constant repetition of these flawed tropes perpetuates their mythological status and limits personal and organizational performance. Eleven management maxims are rebuked using empirical data, original scholarship, literature reviews, field observations, and thoughtful opinions from numerous experts. Far from a business as usual business book, Deconstructing Management Maxims has been researched with academic rigor yet written in an approachable style. Unafraid of taking on conventional business wisdom, it contains some controversial yet substantiated positions that will provoke critical thinking and debate. After all, sacred cows and long-believed tenets of management lore do not go away quietly. A clear message from this book is that you don't have to believe everything you read or hear-be it in the classroom or at work! It offers a refreshing break from the constant drumbeat of dronish corporate and academic clichés. This book is best appreciated by readers wanting to think critically about important management phenomena.

Deconstructing Management Maxims, Volume II: A Critical Examination of Conventional Business Wisdom

Algorithmen: Algorithmen und Datenstrukturen

Pearson Studium

See the best price to sell, buy, or rent books by Wayne, Kevin. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Wayne, Kevin

See the best price to sell, buy, or rent books by Wayne, Kevin. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Algorithms

Computer Science: An Interdisciplinary Approach

Introduction to Programming in Python: An Interdisciplinary Approach

Algorithms, Fourth Edition: Book and 24-Part Lecture Series

Introduction to Programming in Java: An Interdisciplinary Approach

Algorithms (4th Edition)

Introduction to Programming in Java: An Interdisciplinary Approach

Deconstructing Management Maxims, Volume I: A Critical Examination of Conventional Business Wisdom

Deconstructing Management Maxims, Volume II: A Critical Examination of Conventional Business Wisdom

Algorithmen: Algorithmen und Datenstrukturen