Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications, 2nd edition
Roberto Tempo, Giuseppe Calafiore and Fabrizio Dabbene, “RandomizedAlgorithmsforAnalysisand Control of Uncertain Systems: WithApplications, 2nd edition”
English | ISBN: 1447146093 | 2013 | 380 pages | PDF | 4 MB
The presence of uncertainty in a system description has always been a critical issue in control. The main objective of RandomizedAlgorithmsforAnalysisand Control of Uncertain Systems, withApplications(Second Edition) is to introduce the reader to thefundamentalsof probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. The approach propounded by this text guarantees a reduction in the computational complexity of classical control algorithms and in the conservativeness of standard robust control techniques. The second edition has been thoroughly updated to reflect recent research and new applications with chapters on statistical learning theory, sequential methods for control and the scenario approach being completely rewritten.
· self-contained treatment explaining Monte Carlo and Las Vegas randomized algorithms from their genesis in the principles of probability theory to their use for system analysis;
·developmentof a novel paradigm for (convex and nonconvex) controller synthesis in the presence of uncertainty and in the context of randomized algorithms;
· comprehensive treatment of multivariate sample generation techniques, including consideration of the difficulties involved in obtaining identically and independently distributed samples;
· applications of randomized algorithms in various endeavours, such as PageRank computation for the Google Web search engine, unmanned aerial vehicle design (both new in the second edition), congestion control of high-speed communications networks and stability of quantized sampled-data systems.
Randomized Algorithms for Analysis and Control of Uncertain Systems (second edition) is certain to interest academic researchers and graduate control students working in probabilistic, robust or optimal control methods and control engineers dealing with system uncertainties.
The present book is a very timely contribution to the literature. I have no hesitation in asserting that it will remain a widely cited reference work for many years.
Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications, 2nd edition
Constraint Networks: Targeting Simplicity for Techniques and Algorithms
Christophe Lecoutre, “ConstraintNetworks: Targeting Simplicity for Techniques andAlgorithms”
2009 | ISBN-10: 1848211066 | 320 pages | PDF | 7 MB
A major challenge in constraintprogrammingis todevelopefficient generic approaches to solve instances of the constraint satisfaction problem (CSP). With this aim in mind, this book provides an accessible synthesis of the author’s research and work in this area, divided into four main topics: representation, inference, search, andlearning. The results obtained and reproduced in this book have a wide applicability, regardless of the nature of the problem or the constraints involved, making it an extremely user-friendly resource for those involved in this field.
Algorithmen, Datenstrukturen, Funktionale Programmierung. Eine praktische Einführung mit Caml Light
Jürgen Wolff von Gudenberg, “Algorithmen, Datenstrukturen, Funktionale Programmierung. Eine praktische Einführung mit Caml Light”
1996 | ISBN-10: 3827310563 | 360 pages | PDF | 3,5 MB
Der Entwurf von Algorithmen, ihre Programmierung und der Umgang mit Datenstrukturen gehören zum grundlegenden Handwerkszeug eines jeden Informatikers. Dieses Buch bietet eine praxisbezogene, leicht verständliche und mit zahlreichen Beispielen illustrierte Einführung, in der sowohl Algorithmen als auch Datenstrukturen vornehmlich funktional betrachtet werden. Es ist in erster Linie als Begleitbuch für Grundvorlesungen der Informatik über Programmierung, Algorithmen und Datenstrukturen konzipiert. Es eignet sich ebenso gut auch zum Selbststudium.
An Introduction to Distributed Algorithms
An Introduction to Distributed Algorithms By Valmir C. Barbosa
1996 | 317 Pages | ISBN: 0262024128 | PDF | 3 MB
An Introduction to Distributed Algorithms takes up some of the main concepts and algorithms, ranging from basic to advanced techniques andapplications, that underlie theprogrammingof distributed-memory systems such as computer networks, networks of workstations, and multiprocessors. Written from the broad perspective of distributed-memory systems in general it includes topics such as algorithms for maximum flow, program debugging, and simulation that do not appear in more orthodox texts on distributed algorithms. Moving fromfundamentalsto advances andapplications, ten chapters — with exercises and bibliographic notes — cover a variety of topics. These include models of distributed computation,informationpropagation, leader election, distributed snapshots, network synchronization, self- stability, termination detection, deadlock detection, graph algorithms, mutual exclusion, program debugging, and simulation. All of the algorithms are presented in a clear, template- based format for the description of message-passing computations among the nodes of a connected graph. Such a generic setting allows the treatment of problems originating from many differentapplicationareas. The main ideas and algorithms are described in a way that balances intuition and formal rigor — most are preceded by a general intuitive discussion and followed by formal statements as to correctness complexity or other properties.
Algorithmen kompakt und verständlich: Lösungsstrategien am Compute
Markus von Rimscha, “Algorithmen kompakt und verständlich: Lösungsstrategien am Computer”
2008 | ISBN: 3834805696 | 144 pages | PDF | 3 MB
Ameisen organisieren Städtereisen und einComputerlernt Schachspielen – wie es geht, das zeigt dieses Buch.Für Programmierer, die bereits erste Erfahrungen gesammelt haben, wird in diesem Buch ein breites Spektrum an Problemlösungsstrategien anhand konkreter und verständlicher Beispiele vorgestellt.Sie können künftig selbständig neue Aufgabenstellungen bewältigen, Optimierungspotential in bestehenden Programmen entdecken und damit bessereSoftwareschreiben.
A Brief History of Cryptology and Cryptographic Algorithms
John F Dooley, “A Brief History of Cryptology and CryptographicAlgorithms”
English | ISBN: 331901627X | 2013 | 118 pages | PDF | 3 MB
Thescienceof cryptology is made up of two halves. Cryptography is the study of how to create securesystemsfor communications. Cryptanalysis is the study of how to break thosesystems. The conflict between these two halves of cryptology is the story of secret writing. For over 2,000 years, the desire to communicate securely and secretly has resulted in the creation of numerous and increasingly complicated systems to protect one’s messages. Yet for every system there is a cryptanalyst creating a new technique to break that system. With the advent ofcomputersthe cryptographer seems to finally have the upper hand. New mathematically based cryptographicalgorithmsthat usecomputersforencryptionand decryption are so secure that brute-force techniques seem to be the only way to break them – so far. This work traces the history of the conflict between cryptographer and cryptanalyst, explores in some depth the algorithms created to protect messages, and suggests where the field is going in the future.
Delaunay Mesh Generation
Siu-Wing Cheng, Tamal K. Dey, “Delaunay Mesh Generation”
2013 | ISBN-10: 1584887303 | 410 pages | PDF | 5,3 MB
Written by authors at the forefront of modernalgorithmsresearch, Delaunay Mesh Generation demonstrates the power and versatility of Delaunay meshers in tackling complex geometric domains ranging from polyhedra with internal boundaries to piecewise smooth surfaces. Covering both volume and surface meshes, the authors fully explain how and why these meshingalgorithmswork.
The book is one of the first to integrate a vast amount of cutting-edge material on Delaunay triangulations. It begins with introducing the problem of mesh generation and describing algorithms for constructing Delaunay triangulations. The authors then present algorithms for generating high-quality meshes in polygonal and polyhedral domains. They also illustrate how to use restricted Delaunay triangulations to extend the algorithms to surfaces with ridges and patches and volumes with smooth surfaces.
For researchers and graduate students, the book offers a rigorous theoreticalanalysisof mesh generation methods. It provides the necessarymathematicalfoundationsand core theoretical results upon which researchers can build even better algorithms in the future.
For engineers, the book shows how the algorithms work well in practice. It explains how to effectively implement them in the design andprogrammingof mesh generation software.
Algorithmen und Datenstrukturen
Karsten Weicker, Nicole Weicker, “Algorithmen und Datenstrukturen”
2013 | ISBN: 3834812382 | 360 pages | PDF | 3,3 MB
Statt der üblichen theoretischen Zugangs vermittelt dieses Lehrbuch Algorithmen und Datenstrukturen durch die Geschichte einer jungen Informatikerin. Der Stoff einer traditionellen Einführungsveranstaltung Informatik wird so ausgehend von der praktischen Anwendung lebendig und mit viel Spaß vermittelt. So schlägt das Buch eine Brücke von Alltagserfahrungen zu den Konzepten von Datenstrukturen und Algorithmen.
Linear Programming and Algorithms for Communication Networks
Eiji Oki, “LinearProgrammingandAlgorithmsfor Communication Networks: APractical Guideto Network Design, Control, and Management”
ISBN: 1466552638 | 2012 | PDF | 208 pages | 3 MB
Explaining how to apply tomathematicalprogrammingto network design and control, Linear Programming andAlgorithmsfor Communication Networks: APractical Guideto Network Design, Control, and Management fills the gap betweenmathematicalprogramming theory and its implementation in communication networks. From the basics all the way through to more advanced concepts, its comprehensive coverage provides readers with a solid foundation in mathematical programming for communication networks.
Addressing optimization problems for communication networks, including the shortest path problem, max flow problem, and minimum-cost flow problem, the book covers thefundamentalsof linear programming and integer linear programming required to address a wide range of problems. It also:
Examines several problems on finding disjoint paths for reliable communications
Addresses optimization problems in optical wavelength-routed networks
Describes several routing strategies for maximizing network utilization for various traffic-demand models
Considers routing problems in Internet Protocol (IP) networks
Presents mathematical puzzles that can be tackled by integer linear programming (ILP)
Using the GNU Linear Programming Kit (GLPK) package, which is designed for solving linear programming and mixed integer programming problems, it explains typical problems and provides solutions for communication networks. The book provides algorithms for these problems as well as helpful examples with demonstrations. Once you gain an understanding of how to solve LP problems for communication networks using the GLPK descriptions in this book, you will also be able to easily apply your knowledge to other solvers.
Fundamentals of Grid Computing: Theory, Algorithms and Technologies
Frederic Magoules, “Fundamentalsof Grid Computing: Theory, Algorithms and Technologies”
English | ISBN: 1439803676 | 2010 | 322 pages | PDF | 4 MB
The integration and convergence of state-of-the-art technologies in the grid have enabled more flexible, automatic, and complex grid services to fulfill industrial and commercial needs, from the LHC at CERN to meteorological forecasting systems.Fundamentalsof Grid Computing: Theory, Algorithms and Technologies discusses how the novel technologies of semantic web and workflow have been integrated into the grid and grid services.
The book explains how distributed mutual exclusion algorithms offer solutions to transmission and control processes. It also addresses the replication problem in data grids with limited replica storage and the problem of data management in grids. After comparing utility, grid, autonomic, and cloud computing, the book presents efficient solutions for the reliable execution ofapplicationsin computational grid platforms. It then describes a fault tolerant distributed scheduling algorithm for large-scale distributedapplications, along with broadcasting algorithms for institutional grids. The final chapter shows how load balancing is integrated into a real-world scientific application.
Helping readers develop practical skills in grid technology, the appendices introduce user-friendlyopen sourcesoftware written in Java. One ofthe softwarepackages covers strategies for data replication in the grid. The other deals with the implementation of a simulator for distributed scheduling in grid environments.
The various technology presented in this book demonstrates the wide aspects of interest in grid computing as well as the many possibilities and venues that exist in this research area. This interest will only further evolve as numerous excitingdevelopmentsstill await us.
Classification Algorithms for Codes and Designs
Petteri Kaski, Patric R.J. Östergard, “ClassificationAlgorithmsfor Codes and Designs”
2005 | pages: 412 | ISBN: 3540289909 | PDF | 5,6 mb
This book considers one of the basic problems in discrete mathematics: given a collection of constraints, describe up to isomorphism all the objects that meet them. Only a handful of classification results for combinatorial objects are dated before the mid-20th century; indeed, it is through moderncomputersand recentdevelopmentsinalgorithmsthat this topic has flourished and matured. This book is the first comprehensive reference on combinatorial classification algorithms, with emphasis on both the general theory andapplicationto central families of combinatorial objects, in particular, codes and designs.
The book will be of great interest to researchers and can be used as course material for graduate courses in bothcomputerscience and mathematics.
Condition: The Geometry of Numerical Algorithms
Peter Burgisser, Felipe Cucker – Condition: The Geometry of NumericalAlgorithms
Published: 2013-08-23 | ISBN: 3642388957 | PDF | 583 pages | 4 MB
This book gathers threads that have evolved across differentmathematicaldisciplines into seamless narrative. It deals with condition as a main aspect in the understanding of the performance —regarding both stability and complexity— of numericalalgorithms. While the role of condition was shaped in the last half-century, so far there has not been a monograph treating this subject in a uniform and systematic way. The book puts special emphasis on the probabilisticanalysisof numerical algorithms via theanalysisof the corresponding condition. The exposition’s level increases along the book, starting in the context of linear algebra at an undergraduate level and reaching in its third part the recentdevelopmentsand partial solutions for Smale’s 17th problem which can be explained within a graduate course. Its middle part contains a condition-based course on linearprogrammingthat fills a gap between the current elementary expositions of the subject based on the simplex method and those focusing on convexprogramming.