Practical Algorithms

Practical Algorithms for 3D Computer Graphics, Second Edition

R. Stuart Ferguson, "Practical Algorithms for 3D Computer Graphics, Second Edition"
English | ISBN: 1466582529 | 2014 | 520 pages | PDF | 6 MB

Practical Algorithms  eBooks & eLearning

Posted by Grev27 at Jan. 27, 2015
Practical Algorithms

George Richard Yool, "Practical Algorithms"
English | ISBN: 1500173452 | 2014 | EPUB | 150 pages | 3 MB

Practical Algorithms for Programmers  

Posted by bookwyrm at March 14, 2012
Practical Algorithms for Programmers

Practical Algorithms for Programmers By Andrew Binstock, John Rex
Publisher: Ad[dis]on-W[esl]ey Profe[ss..ion]al 1995 | 585 Pages | ISBN: 020163208X | DJVU | 6 MB

Bryan Flamig - Practical Algorithms in C++  

Posted by danrop at Sept. 12, 2008
Bryan Flamig - Practical Algorithms in C++

Bryan Flamig, "Practical Algorithms in C++"
John Wiley & Sons | ISBN: 0471009555 | Year 1995 | 464 pages | DjVu | 7.5 MB

Have you been looking for a C++ book that not only talks about some of the most popular algorithms of today, but also implements them? Then look no further. This book presents algorithms from a practical point of view, clearly explaining how the algorithms work, as well as fully implementing them in C++. Written to the intermediate C++ programmer, this book covers a wide range of subjects, from sorting and searching algorithms, to graph traversal algorithms, hashing algorithms, priority queues, finite state machines, and "algorithmic generators," a unique, object-oriented way of implementing algorithms.
Practical Algorithms for Image Analysis: Description, Examples, and Code (Repost)

Practical Algorithms for Image Analysis with: Description, Examples, and Code by Michael Seul
English | 2000 | ISBN: 0521660653 | 299 Pages | DJVU | 31 MB

This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images.

Practical Algorithms in Pediatric Hematology and Oncology  

Posted by ChrisRedfield at Jan. 10, 2015
Practical Algorithms in Pediatric Hematology and Oncology

Richard H. Sills - Practical Algorithms in Pediatric Hematology and Oncology
Published: 2003-02 | ISBN: 3805574320 | PDF | 114 pages | 2 MB

Practical Algorithms for Programmers (Repost)  

Posted by elodar at Sept. 13, 2013
Practical Algorithms for Programmers (Repost)

Andrew Binstock, John Rex, "Practical Algorithms for Programmers"
English | 1995-06-29 | ISBN: 020163208X | 592 pages | DJVU | 6.21 mb
285459
Michael J. Sammon, "Practical Algorithms for Image Analysis: Descriptions, Examples, and Code"
Publisher: Cambridge University Press | ISBN: 0521660653 | 15 April 2000 | 30.2 MB | Pages: 295 | djvu

This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images. Written in classic "cookbook" style, it reflects the authors' long experience as users and developers of image analysis algorithms and software.

Coursera - Algorithms: Design and Analysis, Part 1 (2013) [repost]  eBooks & eLearning

Posted by ParRus at May 3, 2015
Coursera - Algorithms: Design and Analysis, Part 1 (2013) [repost]

Coursera - Algorithms: Design and Analysis, Part 1 (2013)
English | MP4 + PDF slides | 960 x 540 | AVC ~22.2 kbps | 15 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (srt) | ~19 hours | 1.24 GB
Genre: eLearning Video / Programming, Algorithm

In this course you will learn several fundamental principles of algorithm design. You'll learn the divide-and-conquer design paradigm, with applications to fast sorting, searching, and multiplication. You'll learn several blazingly fast primitives for computing on graphs, such as how to compute connectivity information and shortest paths. Finally, we'll study how allowing the computer to "flip coins" can lead to elegant and practical algorithms and data structures.
Understanding Machine Learning: From Theory to Algorithms

Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz and Shai Ben-David
English | 2014 | ISBN: 1107057132 | 424 pages | PDF | 3 MB

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms.