Kevin Wayne – författare

The leading introduction to computer algorithms in use today, including fifty algorithms every programmer should know

Princeton Computer Science professors, Robert Sedgewick and Kevin Wayne, survey the most important computer algorithms in use and of interest to anyone working in science, mathematics, and engineering, and those who use computation in the liberal arts. They provide a full treatment of data structures and algorithms for key areas that enable you to confidently implement, debug, and put them to work in any computational environment.

 Fundamentals:

Basic programming models Data abstraction Bags, queues, and stacks Analysis of algorithms

 Sorting

Elementary sorts Mergesort Quicksort Priority queues Applications

 Graphs

Undirected graphs Directed graphs Minimum spanning trees Shortest paths

Strings

String sorts Tries Substring search Regular expressions Data compression

These algorithms are generally ingenious creations that, remarkably, can each be expressed in just a dozen or two lines of code. As a group, they represent problem-solving power of amazing scope. They have enabled the construction of computational artifacts, the solution of scientific problems, and the development of commercial applications that would not have been feasible without them.

This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms 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

An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material

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.

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

Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3

Drawing on their extensive classroom experience, the authors provide Q&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.

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.

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.

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.

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.