Algorithms: Design And Analysis

Algorithms: Design and Analysis  eBooks & eLearning

Posted by naag at March 22, 2017
Algorithms: Design and Analysis

Harsh Bhasin, "Algorithms: Design and Analysis"
English | ISBN: 0199456666 | 2015 | 692 pages | EPUB | 27 MB

Algorithms: Design and Analysis of is a textbook designed for the undergraduate and postgraduate students of computer science engineering, information technology, and computer applications. It helps the students to understand the fundamentals and applications of algorithms.

Algorithms: Design and Analysis (Repost)  eBooks & eLearning

Posted by nebulae at Feb. 7, 2017
Algorithms: Design and Analysis (Repost)

Harsh Bhasin, "Algorithms: Design and Analysis"
English | ISBN: 0199456666 | 2015 | 692 pages | PDF | 66 MB

Algorithms: Design and Analysis  eBooks & eLearning

Posted by roxul at May 23, 2016
Algorithms: Design and Analysis

Harsh Bhasin, "Algorithms: Design and Analysis"
English | ISBN: 0199456666 | 2015 | 692 pages | PDF | 66 MB

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.

Stanford University: Coursera - Algorithms: Design and Analysis, Part 2 (2013)  eBooks & eLearning

Posted by ParRus at June 6, 2013
Stanford University: Coursera - Algorithms: Design and Analysis, Part 2 (2013)

Stanford University: Coursera - Algorithms: Design and Analysis, Part 2
English | MP4 | 960 x 540 | AVC ~22.1 kbps | 15 fps
AAC | 122 Kbps | 44.1 KHz | 2 channels | Subs: English (srt) | 19:04:49 | 1.52 GB
Genre: eLearning Video / Computer Science: Theory

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.

Coursera - Algorithms: Design and Analysis Part 1 (2013)  eBooks & eLearning

Posted by house23 at April 11, 2013
Coursera - Algorithms: Design and Analysis Part 1 (2013)

Coursera - Algorithms: Design and Analysis Part 1 (2013)
MP4 | AVC 21kbps | English | 960x540 | 15fps | 19 hours | AAC stereo 114kbps | 1.24 GB
Genre: Video Training

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. Learn the answers to questions such as: How do data structures like heaps, hash tables, bloom filters, and balanced search trees actually work, anyway? How come QuickSort runs so fast? What can graph algorithms tell us about the structure of the Web and social networks? Did my 3rd-grade teacher explain only a suboptimal algorithm for multiplying two numbers?

Design and Analysis of Approximation Algorithms [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Dec. 2, 2015
Design and Analysis of Approximation Algorithms [Repost]

Ding-Zhu Du, Ker-I Ko, Xiaodong Hu - Design and Analysis of Approximation Algorithms
Published: 2011-11-17 | ISBN: 1461417007 | PDF | 440 pages | 2.87 MB

Introduction to the Design and Analysis of Algorithms, 3 edition  eBooks & eLearning

Posted by nebulae at Feb. 21, 2017
Introduction to the Design and Analysis of Algorithms, 3 edition

Anany Levitin, "Introduction to the Design and Analysis of Algorithms, 3 edition"
English | ISBN: 027376411X | 2012 | 592 pages | PDF | 2 MB

Introduction to the Design and Analysis of Algorithms (2nd edition) [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Feb. 10, 2017
Introduction to the Design and Analysis of Algorithms (2nd edition) [Repost]

Anany Levitin - Introduction to the Design and Analysis of Algorithms (2nd edition)
Published: 2006-02-24 | ISBN: 0321358287, 0321364139 | PDF | 592 pages | 19.14 MB

Design and Analysis of Approximation Algorithms (repost)  eBooks & eLearning

Posted by ph4rr3l at Dec. 26, 2013
Design and Analysis of Approximation Algorithms (repost)

Design and Analysis of Approximation Algorithms
Published: November 18, 2011 | ISBN: 1461417007 | PDF | 451 pages | 3 MB

When precise algorithmic solutions are difficult to compute, the use of approximation algorithms can help. Design and Analysis of Approximation Algorithms is a textbook for a graduate course in theoretical computer science taught globally in universities. It can also be used as a reference work for researchers in the area of design and analysis algorithms. There are few texts available for this standard course, and those that do exist mainly follow a problem-oriented format. This text follows a structured, technique-oriented presentation. Approximation algorithms are organized into chapters based on the design techniques for the algorithms, enabling the reader to study algorithms of the same nature with ease, and providing an improved understanding of the design and analysis techniques for approximation algorithms. Instructors benefit from this approach allowing for an easy way to present the ideas and techniques of algorithms with a unified approach.