Posted by **AvaxGenius** at July 25, 2017

English | EPUB | 2013 | 216 Pages | ISBN : 8132207491 | 4.97 MB

The book has many important features which make it suitable for both undergraduate and postgraduate students in various branches of engineering and general and applied sciences. The important topics interrelating Mathematics & Computer Science are also covered briefly. The book is useful to readers with a wide range of backgrounds including Mathematics, Computer Science/Computer Applications and Operational Research.

Posted by **readerXXI** at July 20, 2017

English | 2016 | ISBN: 9814699519 | 346 Pages | PDF | 2.78 MB

Posted by **naag** at July 20, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 219 MB

This course focuses on how to represent a graph using three common classes of graph algorithms - the topological sort to sort vertices by precedence relationships, the shortest path algorithm, and finally the spanning tree algorithms.

Posted by **Willson** at July 19, 2017

English | 2007 | ISBN: 1584886234 | 1224 pages | PDF | 10.5 MB

Posted by **Willson** at July 19, 2017

English | 2000 | ISBN: 0792377710, 1461369703 | 654 pages | PDF | 3 MB

Posted by **thingska** at July 19, 2017

English | 2017 | ISBN: 3319581627, 9783319581620 | 181 Pages | PDF | 8.92 MB

Posted by **naag** at July 18, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 14M | Lec: 10 | 27 MB

Master all concepts of Data Structures and Algorithms

Posted by **U.N.Owen** at July 17, 2017

Size: 237 MB | Duration: 1h 28m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch

Understanding algorithms is a key requirement for all programmers.

Posted by **AvaxGenius** at July 14, 2017

English | PDF,EPUB | 2016 | 438 Pages | ISBN : 3319457950 | 10.7 MB

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification.

Posted by **AlenMiler** at June 13, 2017

English | 6 Jun. 2017 | ASIN: B01IF7NLDW | 340 Pages | AZW3 | 2.55 MB