Posted by **Nice_smile)** at Sept. 15, 2015

English | July 25, 2003 | ISBN: 0201361213 | 528 Pages | CHM | 10.39 MB

Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms.

Posted by **tanas.olesya** at June 11, 2015

English | Aug 2, 2002 | ISBN: 0201361205 | 768 Pages | CHM | 5 MB

For the first time, Sedgewick's seminal work on algorithms and data structures is available with implementations in Java. Michael Schidlowsky and Sedgewick have developed new Java code that both expresses the methods in a concise and direct manner, and also provides programmers with the practical means to test them on real applications

Posted by **tanas.olesya** at Feb. 15, 2015

English | July 25, 2003 | ISBN: 0201361213 | 528 Pages | CHM | 10 MB

Algorithms in Java, Third Edition, Part 5: Graph Algorithms, contains six chapters that cover graph properties and types, graph search, directed graphs, minimal spanning trees, shortest paths, and networks.

Posted by **fdts** at Nov. 29, 2016

by Norm Matloff

English | 2009 | ISBN: 1616100362 | 274 pages | PDF | 8.48 MB

Posted by **FenixN** at Nov. 29, 2016

HDRips | MP4/AVC, ~953 kb/s | 1280x720 | Duration: 08:39:00 | English: AAC, 61 kb/s (1 ch) | 4.52 GB

Learn how to make your Python code more efficient by using algorithms to solve a variety of tasks or computational problems. In this video course, you’ll learn algorithm basics and then tackle a series of problems—such as determining the shortest path through a graph and the minimum edit distance between two genomic sequences—using existing algorithms.

Posted by **Underaglassmoon** at Nov. 28, 2016

Wiley Blackwell | Obstetrics & Gynecology | December 19, 2016 | ISBN-10: 1118849906 | 272 pages | pdf | 5.3 mb

by Errol R. Norwitz (Author), George R. Saade (Author), Hugh Miller (Author), Christina M. Davidson (Author)

Posted by **naag** at Nov. 23, 2016

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 26 | 366 MB

Hatch as Expert in Algorithms through clear Python Algorithmic implementations and practical algorithm application

Posted by **AlenMiler** at Nov. 20, 2016

English | 29 Apr. 2016 | ISBN: 1540324001 | 282 Pages | MOBI/EPUB/PDF | 4.49 MB

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise.

Posted by **Underaglassmoon** at Nov. 18, 2016

Springer | Business & Management | December 2, 2016 | ISBN-10: 3319402889 | 286 pages | pdf | 5.51 mb

Authors: Kuschel, Torben

Analyzes the computational complexity of several problem classes, polyhedral properties and lower bounds

Includes implementation details and an introduction to the necessary theory

Posted by **lengen** at Nov. 15, 2016

English | October 4, 2013 | ISBN: 0412164302 | 156 Pages | PDF | 3 MB

This text is based on a course of about 16 hours lectures to students of mathematics, statistics, and/or operational research. It is intended to introduce readers to the very wide range of applicability of linear programming, covering problems of manage ment, administration, transportation and a number of other uses which are mentioned in their context. The emphasis is on numerical algorithms, which are illustrated by examples of such modest size that the solutions can be obtained using pen and paper. It is clear that these methods, if applied to larger problems, can also be carried out on automatic (electronic) computers. Commercially available computer packages are, in fact, mainly based on algorithms explained in this book.