Greedy Algorithm

Coursera - Algorithm Design & Analysis Part 2 [repost]  eBooks & eLearning

Posted by house23 at Nov. 9, 2015
Coursera - Algorithm Design & Analysis Part 2 [repost]

Coursera - Algorithm Design & Analysis Part 2
MP4 | AVC 76kbps | English | 960x540 | 29.97ps | 19h 04mins | AAC stereo 108kbps | 1.67 GB
Genre: Video Training

In this course you will learn several fundamental principles of advanced algorithm design. You'll learn the greedy algorithm design paradigm, with applications to computing good network backbones (i.e., spanning trees) and good codes for data compression. You'll learn the tricky yet widely applicable dynamic programming algorithm design paradigm, with applications to routing in the Internet and sequencing genome fragments. You’ll learn what NP-completeness and the famous “P vs. NP” problem mean for the algorithm designer. Finally, we’ll study several strategies for dealing with hard (i.e., NP-complete problems), including the design and analysis of heuristics. Learn how shortest-path algorithms from the 1950s (i.e., pre-ARPANET!) govern the way that your Internet traffic gets routed today; why efficient algorithms are fundamental to modern genomics; and how to make a million bucks in prize money by “just” solving a math problem!

G.U.N. - The Greedy Ultimate EP (EP) (2005) {World Of Beats}  Music

Posted by TestTickles at Jan. 9, 2017
G.U.N. - The Greedy Ultimate EP (EP) (2005) {World Of Beats}

G.U.N. - The Greedy Ultimate EP (EP) (2005) {World Of Beats}
EAC Rip | FLAC with CUE and log | scans | 138 mb
MP3 CBR 320kbps | RAR | 49 mb
Genre: hip-hop, rap

The Greedy Ultimate EP is the 2005 EP by rap group G.U.N., which stands for "Greed's Ultimate Nemesis". This was released on the World Of Beats label.

Graph-related Optimization and Decision Theory (repost)  eBooks & eLearning

Posted by libr at Dec. 21, 2016
Graph-related Optimization and Decision Theory (repost)

Graph-related Optimization and Decision Theory (ISTE) by Saoussen Krichen and Jouhaina Chaouachi
English | 2014 | ISBN: 1848217439 | 184 pages | PDF | 3 MB

Coursera: Algorithms - Princeton University (Part I + Part II) [repost]  eBooks & eLearning

Posted by ParRus at Oct. 24, 2016
Coursera: Algorithms - Princeton University (Part I + Part II) [repost]

Coursera: Algorithms - Princeton University
WEBRip | English | MP4 + PDF Guides + Excercises files | 960 x 540 | AVC ~76.2 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | 28:38:37 | 2.78 GB
Genre: eLearning Video / Computer Science, Development, Programming

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. An introduction to fundamental data types, algorithms, and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Specific topics covered include: union-find algorithms; basic iterable data types (stack, queues, and bags); sorting algorithms (quicksort, mergesort, heapsort) and applications; priority queues; binary search trees; red-black trees; hash tables; and symbol-table applications.

Algorithm (2014)  Video

Posted by Without at March 17, 2016
Algorithm (2014)

Algorithm (2014)
HDRip | AVI | 640x344 | XviD@943 Kbps | English MP3@128 Kbps | 2 channels | 1h 30mn | 698 MB
Genre: Crime, Drama, Thriller

A freelance computer hacker discovers a mysterious government computer program. He breaks into the program and is thrust into a revolution.

Informit – Algorithms 24 part Lecture Series (2015)  eBooks & eLearning

Posted by house23 at Nov. 17, 2015
Informit – Algorithms 24 part Lecture Series (2015)

Informit – Algorithms 24 part Lecture Series (2015)
MP4 | AVC 522kbps | English | 1280x720 | 29.97ps | 24 parts | AAC stereo 64kbps | 7.31 GB
Genre: Video Training

This collection of video lectures provides a comprehensive exploration of fundamental data types, algorithms, and data structures, with an emphasis on applications and scientific performance analysis of Java implementations. The instructors offer readings related to these lectures that you can find in Algorithms, Fourth Edition, the leading textbook on algorithms today. These lectures provide another perspective on the material presented in the book and generally cover the material in the same order, though some book topics have been combined, rearranged, or omitted in the lectures.

Algorithm Design And Applications  eBooks & eLearning

Posted by AlenMiler at Sept. 23, 2015
Algorithm Design And Applications

Algorithm Design And Applications by Virender Singh
English | 2015-09-20 | ASIN: B015MKW924 | 876 Pages | True MOBI (Kindle)/(EPUB/PDF conv) | 16.48 MB

This book is designed to provide a comprehensive introduction to the design and analysis of computer algorithms and data structures. We have made each chapter to be relatively independent of other chapters so as to provide instructors and readers greater flexibility with respect to which chapters to explore.

Algorithms for Sparsity-Constrained Optimization (Repost)  eBooks & eLearning

Posted by tukotikko at Dec. 20, 2014
Algorithms for Sparsity-Constrained Optimization (Repost)

Algorithms for Sparsity-Constrained Optimization By Sohail Bahmani
2013 | 124 Pages | ISBN: 3319018809 | PDF | 3 MB

Algorithms for Sparsity-Constrained Optimization (Repost)  eBooks & eLearning

Posted by bookwyrm at Oct. 6, 2014
Algorithms for Sparsity-Constrained Optimization (Repost)

Algorithms for Sparsity-Constrained Optimization By Sohail Bahmani
2013 | 124 Pages | ISBN: 3319018809 | PDF | 3 MB

Graph-related Optimization and Decision Theory  eBooks & eLearning

Posted by interes at Sept. 15, 2014
Graph-related Optimization and Decision Theory

Graph-related Optimization and Decision Theory (ISTE) by Saoussen Krichen and Jouhaina Chaouachi
English | 2014 | ISBN: 1848217439 | 184 pages | PDF | 3 MB

Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields. As the problem structure is split into two main components, the objective is to accomplish the feasible set framed by the system constraints.