The Algorithm Design Manual

The Algorithm Design Manual➭ [Ebook] ➨ The Algorithm Design Manual By Steven S. Skiena ➹ – Jobs-in-kingston.co.uk 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 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 The Algorithm Epub / 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 themost 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 overhours of audio lectures on the design and analysis of algorithms are provided, all keyed to on line lecture notes. 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 introduc 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 introductory adjective earlier as this is supposed to be an introductory book on the topic 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.In short, this is a book every decent programmer should read at least once, besides it works also as a algorithms data structures encyclopedia that always comes handy 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 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 much recommended 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 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 unique and illuminating feature of this book is an extensive collection of war stories describing the author s personal experiences with applying these algorithmic tools in various circumstances quite fascinating, and some a bit darkly humorous The extensive collections of problems at the end of each tutorial chapter provide excellent practice in particular, the lists of interview problems for drilling are very valuable preparation The second half of the book is collection of short essays on various kinds of problems and sketches of techniques to handle them This is very useful for gaining a broad overview of what tools are available, though the coverage can be somewhat brief e.g., I felt that some aspects of string algorithms were treated quite telegraphically, e.g., suffix trees, and also the Hungarian algorithm for assignments was barely mentioned Also, there were not that many examples in the second half It is really intended as a set of pointers to get you started on where to look up details for approaches to a particular problem, and in that respect succeeds quite well and has a lot of up to date references.I would give this book 4 1 2 stars it has a fair share of typos, and sometimes problems are duplicated in different sections this probably reflects how the book was updated The book is rather lighter on proofs than, say Cormen Leiserson Rivest etc., and so one should probably have arigorous book at hand to fill in some details when necessary The choice of topics and the style reflect the author s extensive consulting experience, as well has his work on contest programming he wrote another entire book dedicated to Programming Challenges 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.In fact, I learned about it from Steve Yegge s blog post remainder of his advice is also invaluable Here are a couple of other very valuable resources both the books and the forums.Overall, essential reading if you are studying for a programming interview 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 l 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 lot of people might enjoy this, but I feel that having the mathematical understanding of algorithms and the proofs to back it up will greatly increase your understanding of the material A short proof instead of a little hand waving goes a long way.Basically, get CLRS and don t look back 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 very clear and you have to read a passage multiple times to understand what the author meant The book can be used as a reference that you can use to understand a specific topic. Highly recommended for anyone interested in practical algorithm implementation. A rare book on algorithms that is actually fun to read Very good examples and explanations of algorithms that are commonly asked in interviews. 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 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 his review on Fivebooks, this is helpful for Googling things I ve found that a lot of computer programming is easy if you just know the name of thing you need to Google This gets you there 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 thei 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 their academic cave It doesn t need to use complex writing structures or tough vocabularies to explain a simple idea.This book, of course, is not something you read from A to Z It s probably good as a reference

The Algorithm Design Manual eBook Ý The Algorithm
    The Algorithm Design Manual eBook Ý The Algorithm 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 overhours of audio lectures on the design and analysis of algorithms are provided, all keyed to on line lecture notes. 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 introduc 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 introductory adjective earlier as this is supposed to be an introductory book on the topic 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.In short, this is a book every decent programmer should read at least once, besides it works also as a algorithms data structures encyclopedia that always comes handy 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 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 much recommended 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 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 unique and illuminating feature of this book is an extensive collection of war stories describing the author s personal experiences with applying these algorithmic tools in various circumstances quite fascinating, and some a bit darkly humorous The extensive collections of problems at the end of each tutorial chapter provide excellent practice in particular, the lists of interview problems for drilling are very valuable preparation The second half of the book is collection of short essays on various kinds of problems and sketches of techniques to handle them This is very useful for gaining a broad overview of what tools are available, though the coverage can be somewhat brief e.g., I felt that some aspects of string algorithms were treated quite telegraphically, e.g., suffix trees, and also the Hungarian algorithm for assignments was barely mentioned Also, there were not that many examples in the second half It is really intended as a set of pointers to get you started on where to look up details for approaches to a particular problem, and in that respect succeeds quite well and has a lot of up to date references.I would give this book 4 1 2 stars it has a fair share of typos, and sometimes problems are duplicated in different sections this probably reflects how the book was updated The book is rather lighter on proofs than, say Cormen Leiserson Rivest etc., and so one should probably have arigorous book at hand to fill in some details when necessary The choice of topics and the style reflect the author s extensive consulting experience, as well has his work on contest programming he wrote another entire book dedicated to Programming Challenges 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.In fact, I learned about it from Steve Yegge s blog post remainder of his advice is also invaluable Here are a couple of other very valuable resources both the books and the forums.Overall, essential reading if you are studying for a programming interview 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 l 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 lot of people might enjoy this, but I feel that having the mathematical understanding of algorithms and the proofs to back it up will greatly increase your understanding of the material A short proof instead of a little hand waving goes a long way.Basically, get CLRS and don t look back 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 very clear and you have to read a passage multiple times to understand what the author meant The book can be used as a reference that you can use to understand a specific topic. Highly recommended for anyone interested in practical algorithm implementation. A rare book on algorithms that is actually fun to read Very good examples and explanations of algorithms that are commonly asked in interviews. 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 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 his review on Fivebooks, this is helpful for Googling things I ve found that a lot of computer programming is easy if you just know the name of thing you need to Google This gets you there 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 thei 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 their academic cave It doesn t need to use complex writing structures or tough vocabularies to explain a simple idea.This book, of course, is not something you read from A to Z It s probably good as a reference "/>
  • Hardcover
  • 486 pages
  • The Algorithm Design Manual
  • Steven S. Skiena
  • English
  • 15 January 2019
  • 0387948600