Algorithms Analysis

Adaptive Control: Algorithms, Analysis and Applications (repost)

Adaptive Control: Algorithms, Analysis and Applications by Ioan Dor Landau
English | 8 Jun. 2011 | ISBN: 0857296639 | 612 Pages | PDF | 6 MB

Adaptive Control (second edition) shows how a desired level of system performance can be maintained automatically and in real time, even when process or disturbance parameters are unknown and variable. It is a coherent exposition of the many aspects of this field, setting out the problems to be addressed and moving on to solutions, their practical significance and their application.
Spectral Methods: Algorithms, Analysis and Applications (Springer Series in Computational Mathematics)

Spectral Methods: Algorithms, Analysis and Applications (Springer Series in Computational Mathematics)
English | Mathematics | August 25, 2011 | ISBN-10: 354071040X | 472 Pages | epub | 4.98 mb

Along with finite differences and finite elements, spectral methods are one of the three main methodologies for solving partial differential equations on computers.
Adaptive Control: Algorithms, Analysis and Applications, 2nd Edition (repost)

Adaptive Control: Algorithms, Analysis and Applications, 2nd Edition
by Ioan Doré Landau, Rogelio Lozano, Mohammed M'Saad, Alireza Karimi
English | 2011 | ISBN: 0857296639 | 609 pages | PDF | 6.47 MB
Nodal Discontinuous Galerkin Methods: Algorithms, Analysis, and Applications [Repost]

Jan S. Hesthaven, ‎Tim Warburton - Nodal Discontinuous Galerkin Methods: Algorithms, Analysis, and Applications
Published: 2008-01-14 | ISBN: 0387720650, 1441924639 | PDF | 501 pages | 23 MB
Adaptive Control: Algorithms, Analysis and Applications, 2nd Edition (Repost)

Ioan Doré Landau, Rogelio Lozano, Mohammed M'Saad, Alireza Karimi, "Adaptive Control: Algorithms, Analysis and Applications, 2nd Edition"
English | 2011 | ISBN: 0857296639 | 609 pages | PDF | 6.4 MB
Adaptive Control: Algorithms, Analysis and Applications, 2nd Edition

Ioan Doré Landau, Rogelio Lozano, Mohammed M'Saad, Alireza Karimi, "Adaptive Control: Algorithms, Analysis and Applications, 2nd Edition"
Sp nger | 2011 | ISBN: 0857296639 | 609 pages | PDF | 6,4 MB

Shai Simonson - Algorithms  eBooks & eLearning

Posted by groovebeat at Sept. 12, 2014
Shai Simonson - Algorithms

Shai Simonson - Algorithms
WEB-Rip | .RM | RealMedia Video | 320x240 | RealMedia Audio | 30 Hours | 3.49 GB
Genre: Algorithms, Computer Science | Language: English

The design of algorithms is studied, according to methodology and application. Methodologies include: divide and conquer, dynamic programming, and greedy strategies. Applications involve: sorting, ordering and searching, graph algorithms, geometric algorithms, mathematical (number theory, algebra and linear algebra) algorithms, and string matching algorithms. Analysis of algorithms is studied - worst case, average case, and amortized - with an emphasis on the close connection between the time complexity of an algorithm and the underlying data structures. NP-Completeness theory is examined along with methods of coping with intractability, such as approximation and probabilistic algorithms.
Data Structures and Algorithm Analysis in Java, 3rd Edition (repost)

Mark A. Weiss, "Data Structures and Algorithm Analysis in Java, 3rd Edition"
English | 2011 | ISBN-10: 0132576279 | PDF | 576 pages | 5,3 MB

Data Structures and Algorithm Analysis in Java is an “advanced algorithms” book that fits between traditional CS2 and Algorithms Analysis courses. In the old ACM Curriculum Guidelines, this course was known as CS7.
Probability and Computing: Randomized Algorithms and Probabilistic Analysis (repost)

Michael Mitzenmacher, Eli Upfal, "Probability and Computing: Randomized Algorithms and Probabilistic Analysis"
English | 2005 | ISBN: 0521835402 | 307 pages | PDF | 25 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.