Algorithms in a Nutshell: A Practical Guide
Teaches topics found in my class in a more clear and concise manner then the course's assigned textbook. The writing style and pseudocode are relatively easy to comprehend. Bought useds, good single-source reference for those of us who weren't necessarily CS majors in school but found ourselves programming for a living. When we as software developers apply algorithms in our daily work, how many of us really have to prove to our bosses or customers the algorithms works mathematically? I bet there most of us don't. That's how come this book is extremely useful for algorithms consumers.
You open it, jump right to the solution you want, lookup the pseudocode and the graph, and maybe spend a few minutes to read the description, that's it. Get in, get out, get things done, people happy. If you really care about the math, there are plenty of algorithms classic out there on the shelf you can get. But if you just need the algorithms to save you ass at some point like me, this is the perfect choice. Handy to have about, but for a desktop reference, I think there should have been some more material.
Sorting and searching are not the only things people want to implement - coverage of some other topics would have made this better. Allez sur Amazon. En savoir plus sur Amazon Prime. Also tested on versions 4. Please be aware that this process may take several days to compute especially for Chapter 5. ModuloSurprise Some figures and examples require resources that are stored on the disk. Please use the Makefiles to generate these figures. We also provide a number of example programs showing the algorithms in practice.
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Reload to refresh your session. You signed out in another tab or window. Jan 10, Cleaning code examples in chapters 2 and 3. Feb 28, Aug 3, Mar 2, Completing final synchronization of images and code. Mar 8, Mar 10, Feb 29, Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorit Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs.
Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project.
Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. Get A Copy.
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Community Reviews. Showing Rating details. More filters. Sort order. Jan 14, Mohamed Elsherif rated it it was amazing. This book is fantastic, assuming you are already familiar with the subject, it can really be a great refresher, it is short, you can get through it on a weekend or so, and the 1-pager per algorithm is great, reminds me of old school study notes. May 22, Spencer rated it really liked it Shelves: technical. I enjoyed this book. The approach is sound. The charts and short descriptions are very useful. Dec 27, Janardan Misra rated it liked it Shelves: technical.
Experimental Algorithmics is an emerging area of active interest and this is one of the few books presenting the subject matter from the point of programmers and discussing the relative efficiency of algorithms from practitioner's perspective.
Algorithms in a Nutshell
Nice infographics with main info for each algoryhtm. Good that author used C and Java for examples, not only pseudocode. Jul 20, Yuh-Jia Lim rated it really liked it Shelves: programming. Pros: A quick read for sorting and search algorithms. Clear explanations and to-the-point. Very practical. Cons: Does not provide a very comprehensive list or sorting algorithms. This book is meant to be a handy desk reference to the most commonly used algorithms, and for that purpose, it's perfect.
If you're expecting a tutorial style book or a comprehensive reference, you'll be disappointed. Feb 24, Frank Palardy rated it really liked it Shelves: python-algorithms. Does a fair job of it.
Not much good for interviews though.