Throughout, the emphasis is on good problem modelling, which is essential to get an algorithm to work. This book is a practical, example-driven book on computer science algorithms, which is very readable and has a wealth of ready-to-use examples.

In comparison to "Introduction to Algorithms" (the other algorithm book I had significant exposure to) this one is faster to read, easier to digest and more tailored towards applications. He is the author of four books, including "The Algorithm Design Manual" and "Calculated Bets: Computers, Gambling, and Mathematical Modeling to Win".A must read for any computer scientist, student or educator, who likes to invest more in ideas than the actual details. THE ALGORITHM DESIGN MANUAL comes with a CD-ROM that contains: * a complete hypertext version of the full printed book. It will not only serve as a valuable undergraduate textbook, but it will also become an irreplaceable reference guide for most professionals in the area. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. It is essential for scientists, engineers, and any professionals who aim to solve problems, with a noticeable emphasis on real problems.

If you were a professional programmer trying to earn a living, you would want to do even better: programme the computer to find the best way of finding a route (fastest, smallest, most accurate, suitable for wide loads, avoiding speed cameras . The fact that this book focuses on working source code in examples (as opposed to just pseudo-code) makes it extremely useful for drilling for programming interviews. The book spends a lot of time emphasizing the utility of graph algorithms and how to model various classes of problems with them, as well as lot of time on dynamic programming and backtracking/enumeration. The 103 third parties who use cookies on this service do so for their purposes of displaying and measuring personalized ads, generating audience insights, and developing and improving products. The tutorial material in the first half of the book covers the essentials: data structures such as lists, arrays, stacks, queues, binary trees, etc.Megan Squire, Elon University, USA This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. I found the "Hitchhiker's Guide to Algorithms" in the back to be extremely useful if you really find yourself tackling an algorithmic problem in practice. Clear explainers are interspersed with practical war stories, where Skiena explains how he applied the technique just discussed to solve a previously intractable problem. It trains the methodology, logical plan how (and possibly why) one takes off from an earlier algorithm and goes on developing something new.

For a decade, Steven Skiena's Algorithm Design Manual retained its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. In reality, even though it starts from the basics of math and programming, the topics covered are broad enough and discussed in much depth to make it appealing even to the senior programmer. I used the "introductory" adjective earlier as this is supposed to be an introductory book on the topic. Professor Skiena is also author of the popular Springer text, Programming Challenges: The Programming Contest Training Manual. Addressing the main difficulties of solving problems, this book goes far beyond the design of algorithms.He is recipient of the ONR Young Investigator Award and the IEEE Computer Science and Engineering Undergraduate Teaching Award. Overall, a good choice for a first algorithms book, after which you may want to move onto something more advanced.

It is more exciting - when it is done properly - because now the computer can solve every variation of a problem, not just one version of it. Unlike other algorithm books that I have the algorithms are written independent of any programming language. Every programmer should read this book, and anyone working in the field should keep it close to hand - The Algorithm Design Manual is not just for use on university courses. For someone who's never taken CS101, this book an eye-opener into the hows and whys of basic data structures like linked lists, trees, hash tables, and arrays, as well as sorting techniques and more advanced practices like dynamic programming. Data Structures: Repeatedly extracts the smallest remaining element from the unsorted part of the set but will take a total of O(nProfessor Skiena is also author of the popular Springer text, Programming Challenges: The Programming Contest Training Manual . This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. I've found that a lot of computer programming is easy if you just know the name of thing you need to Google. The list of implementations, an extensive bibliography … make the book an invaluable resource for everyone interested in the subject.