The Algorithm Design Manual

Posted on 21 February 2019 by Steven S. Skiena

This volume helps take some of the mystery out of identifying and dealing with key algorithms Drawing heavily on the author s own real world experiences, the book stresses design and analysis Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms The second is a reference section, which includes a catalog of the 75 most important algorithmic problems By browsing this catalog, readers can quickly identify what the problem they have encountered is called, what is known about it, and how they should proceed if they need to solve it This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference This work can also readily be used in an upper division course or as a student reference guide THE ALGORITHM DESIGN MANUAL comes with a CD ROM that contains a complete hypertext version of the full printed book the source code and URLs for all cited implementations over 30 hours of audio lectures on the design and analysis of algorithms are provided, all keyed to on line lecture notes. New Download [ The Algorithm Design Manual ] author [ Steven S. Skiena ] For Kindle ePUB or eBook – kino-fada.fr When you want to read a good introductory book about algorithms and data structures the choice comes down to two books Introduction to Algorithms, Second Edition and this one I especially liked The Algorithm Design Manual because of the author s writing style, the war stories that are some clever and practical applications of the data structures and algorithms the author tries to teach you and the second half part of the book which is a sort of encyclopedia of problems.I used the When you want to read a good introductory book about algorithms...In comparison to Introduction to Algorithms the other algorithm book I had significant exposure to this one is faster to read, easier to digest andtailored towards applications.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.The main part maybe skipping skimming down a few chapters is a very good preparation for algorithm heavy job interviews e.g Google, Facebook etc .Very In comparison to Introduction to Algorithms the other algorithm book I had significant exposure to this one is faster to read, easier to digest andtailored towards applications.I found the Hitchhiker s Guide to Algorithms in the back to be extremely usefu...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 The tutorial material in the first half of the book covers the essentials data structures such as lists, arrays, stacks, queues, binary trees, etc 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 A This book is a practical, example driven book on compute...I can t think of an occasion when I d recommend this over Intro to Algorithms CLRS It does a fraction of what CLRS does and worse in most cases And in the rest of the cases, it does them exactly the same There were some instances graph algorithms where the code in Skiena was taken straight out of CLRS Not only did CLRS explain the algorithm better but it had the proofs to back it up.Speaking of proofs, this is what I hated about Skiena It has barely any proofs in comparison to CLRS A I can t think of an occasion when I d recommend this over Intro to Algorithms CLRS It does a fraction of what CLRS does and worse in most cases And in the rest of the cases, it does them exactly the same There were some instances graph algorithms where the code in Skiena was taken straight out of CLRS Not only did CLRS explain the algorithm better but it had the proofs to back it up.Speaking of proofs, this is what I hated...This is not an introductory book You should have some previous knowledge of algorithms to enjoy it The book builds a way of thinking towards solving algorithms problems, instead of just stating the algorithms and data structures in a mechanical way, but in many parts it is not ver...A rare book on algorithms that is actually fun to readVery good examples and explanations of algorithms that are commonly asked in interviews.Highly recommended for anyone interested in practical algorithm implementation.A useful read for anyone who likes to have a deeper understanding of algorithm design The book covers many aspects such as time space complexity, NP completeness, and many other concepts The part that I personally really appreciate was the first few chapters about how to set our mindset to design an algorithm.This book, like most academic books, is hard to read and comprehend and needs the reader to doresearch about the subjects I wish people who write these books, they come out of A useful read for anyone who likes to have a deeper understanding of algorithm design The book covers many aspects such as time space complexity, NP completeness, and many other concepts The part that I personally really appreciate was the first few chapters about how to set our mindset to ...The rare computer programming book that I finished start to finish.The first half of the book tells you why some things take longer to compute than other things This helps data scientists statisticians analysts who work with large amounts of data.In the first half, the math and the computer code can get pretty heavy But I found the text around it was written so you could skim the hard stuff, get the idea, and keep going The second half of the book is a reference As Hadley Wickham said in The rare computer programming book that I finished start to finish.The first half of the book tells...

English
21 February 2019

Steven S. Skiena