Algorithms Epub

Outnumbered: From Facebook and Google to Fake News and Filter-bubbles – The Algorithms That Control Our Lives

David Sumpter, "Outnumbered: From Facebook and Google to Fake News and Filter-bubbles – The Algorithms That Control Our Lives (featuring Cambridge Analytica)"
ISBN: 147294741X, 1472947436 | 2018 | EPUB | 272 pages | 1 MB

Unsupervised Learning Algorithms  eBooks & eLearning

Posted by roxul at April 19, 2018
Unsupervised Learning Algorithms

Celebi, M. Emre, Aydin, Kemal, "Unsupervised Learning Algorithms"
English | 2016 | ISBN-10: 3319242091 | 558 pages | EPUB | 8 MB
Recent Developments in Structure-Preserving Algorithms for Oscillatory Differential Equations

Recent Developments in Structure-Preserving Algorithms for Oscillatory Differential Equations By Xinyuan Wu
English | PDF,EPUB | 2018 | 356 Pages | ISBN : 9811090033 | 20.57 MB

The main theme of this book is recent progress in structure-preserving algorithms for solving initial value problems of oscillatory differential equations arising in a variety of research areas, such as astronomy, theoretical physics, electronics, quantum mechanics and engineering. It systematically describes the latest advances in the development of structure-preserving integrators for oscillatory differential equations, such as structure-preserving exponential integrators, functionally fitted energy-preserving integrators, exponential Fourier collocation methods, trigonometric collocation methods, and symmetric and arbitrarily high-order time-stepping methods.

Combinatorial Optimization: Theory and Algorithms, Sixth Edition  eBooks & eLearning

Posted by AvaxGenius at April 18, 2018
Combinatorial Optimization: Theory and Algorithms, Sixth Edition

Combinatorial Optimization: Theory and Algorithms, Sixth Edition By Bernhard Korte
English | PDF,EPUB | 2018 | 701 Pages | ISBN : 3662560380 | 22.22 MB

This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This book reviews the fundamentals, covers the classical topics (paths, flows, matching, matroids, NP-completeness, approximation algorithms) in detail, and proceeds to advanced and recent topics, some of which have not appeared in a textbook before.
Iterative Learning Control with Passive Incomplete Information: Algorithms Design and Convergence Analysis

Iterative Learning Control with Passive Incomplete Information: Algorithms Design and Convergence Analysis By Dong Shen
English | PDF,EPUB | 2018 | 398 Pages | ISBN : 9811082669 | 13.32 MB

This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.—a cutting-edge topic in connection with the practical applications of ILC.

Algorithms and Applications: ALAP 2018  eBooks & eLearning

Posted by AvaxGenius at April 16, 2018
Algorithms and Applications: ALAP 2018

Algorithms and Applications: ALAP 2018 By Sajal K. Das
English | EPUB | 2018 | 96 Pages | ISBN : 9811081018 | 1.56 MB

This book presents the proceedings of the Conference on Algorithms and Applications (ALAP 2018), which focuses on various areas of computing, like distributed systems and security, big data and analytics and very-large-scale integration (VLSI) design. The book provides solutions to a broad class of problems in diverse areas of algorithms in our daily lives in a world designed for, and increasingly controlled by algorithms.

Dictionary Learning Algorithms and Applications  eBooks & eLearning

Posted by AvaxGenius at April 16, 2018
Dictionary Learning Algorithms and Applications

Dictionary Learning Algorithms and Applications By Bogdan Dumitrescu
English | PDF,EPUB | 2018 | 289 Pages | ISBN : 3319786733 | 10.15 MB

This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics while also revealing the similarities. It gives implementation tricks that are often ignored but that are crucial for a successful program. Besides MOD, K-SVD, and other standard algorithms, it provides the significant dictionary learning problem variations, such as regularization, incoherence enforcing, finding an economical size, or learning adapted to specific problems like classification.
A Metaheuristic Approach to Protein Structure Prediction: Algorithms and Insights from Fitness Landscape Analysis

A Metaheuristic Approach to Protein Structure Prediction: Algorithms and Insights from Fitness Landscape Analysis By Nanda Dulal Jana
English | PDF,EPUB | 2018 | 243 Pages | ISBN : 3319747746 | 12.48 MB

This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature of the problem, which was the focus of methodologies in the past.

Guide to Graph Algorithms: Sequential, Parallel and Distributed  eBooks & eLearning

Posted by AvaxGenius at April 14, 2018
Guide to Graph Algorithms: Sequential, Parallel and Distributed

Guide to Graph Algorithms: Sequential, Parallel and Distributed By K Erciyes
English | PDF,EPUB | 2018 | 475 Pages | ISBN : 331973234X | 17.38 MB

This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, and approximation algorithms and heuristics for such problems. The work also provides a comparative analysis of sequential, parallel and distributed graph algorithms – including algorithms for big data – and an investigation into the conversion principles between the three algorithmic methods.
Reduced-Order Modeling (ROM) for Simulation and Optimization: Powerful Algorithms as Key Enablers for Scientific Computing

Reduced-Order Modeling (ROM) for Simulation and Optimization: Powerful Algorithms as Key Enablers for Scientific Computing By Winfried Keiper
English | PDF,EPUB | 2018 | 184 Pages | ISBN : 3319753185 | 10.42 MB

This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control. The topical scope includes, but is not limited to, new out-of-the-box algorithmic solutions for scientific computing, e.g. reduced basis methods for industrial problems and MOR approaches for electrochemical processes. The target audience comprises research experts and practitioners in the field of simulation, optimization and control, but the book may also be beneficial for graduate students alike.