Algorithms: Design And Analysis

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)  

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?

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.
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.

Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis  eBooks & eLearning

Posted by interes at Dec. 8, 2016
Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis

Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis by Stephen L. George and Xiaofei Wang
English | 2016 | ISBN: 1498706886 | 474 pages | EPUB | 8 MB

Real-Time Systems Design and Analysis: Tools for the Practitioner (Repost)  eBooks & eLearning

Posted by happy4all at Oct. 8, 2016
Real-Time Systems Design and Analysis: Tools for the Practitioner (Repost)

Real-Time Systems Design and Analysis: Tools for the Practitioner By Phillip A. Laplante, Seppo J. Ovaska
2011 | 584 Pages | ISBN: 0470768649 | PDF | 3 MB

Analog Electronics Applications: Fundamentals of Design and Analysis  eBooks & eLearning

Posted by interes at Sept. 30, 2016
Analog Electronics Applications: Fundamentals of Design and Analysis

Analog Electronics Applications: Fundamentals of Design and Analysis by Hernando Lautaro Fernandez-Canque
English | 2016 | ISBN: 1498714951 | 432 pages | PDF | 11,3 MB

Design and Analysis of Non-Inferiority Trials (Repost)  eBooks & eLearning

Posted by roxul at July 18, 2016
Design and Analysis of Non-Inferiority Trials (Repost)

Mark Rothmann, "Design and Analysis of Non-Inferiority Trials"
English | ISBN: 1584888040 | 2011 | 454 pages | PDF | 3,9 MB

Research Methods, Design, and Analysis, Global Edition  eBooks & eLearning

Posted by AlenMiler at July 2, 2016
Research Methods, Design, and Analysis, Global Edition

Research Methods, Design, and Analysis, Global Edition by Larry B. Christensen
English | 29 May 2014 | ISBN: 1292057742, 0205961258 | 544 Pages | PDF (True) | 31.16 MB

Research Methods, Design, and Analysis, 12/e, provides an understanding of the research methods used to investigate human thought and behavior. The coverage of experimental, qualitative, correlational, and survey research helps students develop their research skills for all aspects of psychology. Information is presented in a simple and straightforward manner and placed into context of actual research studies, helping students make real-life connections.