Randomized Algorithms for Analysis and Control of Uncertain Systems, Roberto Tempo; Giuseppe Calafiore; Fabrizio Dabben
Автор: Roberto Tempo; Giuseppe Calafiore; Fabrizio Dabben Название: Randomized Algorithms for Analysis and Control of Uncertain Systems ISBN: 1447146093 ISBN-13(EAN): 9781447146094 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces readers to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. It provides tools for dealing with uncertainty in control systems.
Автор: Oleg Granichin; Zeev (Vladimir) Volkovich; Dvora T Название: Randomized Algorithms in Automatic Control and Data Mining ISBN: 3642547850 ISBN-13(EAN): 9783642547850 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues.
Автор: Motwani, Rajeev Raghavan, Prabhakar Название: Randomized algorithms ISBN: 0521474655 ISBN-13(EAN): 9780521474658 Издательство: Cambridge Academ Рейтинг: Цена: 11722.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents basic tools from probability theory used in algorithmic applications, with concrete examples. This book should prove invaluable as a reference for researchers and professional programmers, as well as for students.
Автор: Panos M. Pardalos; Sanguthevar Rajasekaran Название: Advances in Randomized Parallel Computing ISBN: 0792357140 ISBN-13(EAN): 9780792357148 Издательство: Springer Рейтинг: Цена: 25149.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Randomization has become prevalent, since it offers superior performance and simplicity. Parallel computing is also very important since it offers excellent speedups. This book combines the two domains, providing a summary of results and techniques in the area of randomized parallel computing.
Автор: Kabanov Yuri, Pergamenshchikov Sergei Название: Two-Scale Stochastic Systems / Asymptotic Analysis and Control ISBN: 3540653325 ISBN-13(EAN): 9783540653325 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Two-scale systems described by singularly perturbed SDEs have been the subject of ample literature. However, this new monograph develops subjects that were rarely addressed and could be given the collective description "Stochastic Tikhonov-Levinson theory and its applications." The book provides a mathematical apparatus designed to analyze the dynamic behaviour of a randomly perturbed system with fast and slow variables. In contrast to the deterministic Tikhonov-Levinson theory, the basic model is described in a more realistic way by stochastic differential equations. This leads to a number of new theoretical questions but simultaneously allows us to treat in a unified way a surprisingly wide spectrum of applications like fast modulations, approximate filtering, and stochastic approximation.
Автор: Asmussen Название: Stochastic Simulation: Algorithms and Analysis ISBN: 038730679X ISBN-13(EAN): 9780387306797 Издательство: Springer Рейтинг: Цена: 6981.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focusses on general methods, whereas the second half discusses model-specific algorithms. Given the wide range of examples, exercises and applications students, practitioners and researchers in probability, statistics, operations research, economics, finance, engineering as well as biology and chemistry and physics will find the book of value. Soren Asmussen is Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of Engineering at Stanford University.
Автор: Stefan Kowalewski; Anna Philippou Название: Tools and Algorithms for the Construction and Analysis of Systems ISBN: 3642007678 ISBN-13(EAN): 9783642007675 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 15th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2009, held in York, UK, in March 2009, as part of ETAPS 2009, the European Joint Conferences on Theory and Practice of Software.
Автор: Marsha Chechik; Jean-Fran?ois Raskin Название: Tools and Algorithms for the Construction and Analysis of Systems ISBN: 3662496739 ISBN-13(EAN): 9783662496732 Издательство: Springer Рейтинг: Цена: 13416.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Robots at the Edge of the Cloud.- Finding Recurrent Sets with Backward Analysis and Trace Partitioning.- Tactics for the Dafny Program Verifier.- Synthesizing Ranking Functions from Bits and Pieces.- Abstraction Refinement and Antichains for Trace Inclusion of Infinite State Systems.- Probabilistic and Stochastic Systems Efficient Syntax-driven Lumping of Differential Equations.- Faster Statistical Model Checking for Unbounded Temporal Properties.- Safety-constrained Reinforcement Learning for MDPs.- Safety Verification of Continuous-Space Pure Jump Markov Processes.- Abstract Learning Frameworks for Synthesis.- Synthesizing Piece-wise Functions by Learning Classifiers.- An Automaton Learning Approach to Solving Safety Games over Infinite Graphs.- Uncertainty Propagation using Probabilistic Affine Forms and Concentration of Measure Inequalities.- Online and Compositional Learning of Controllers with Application to Floor Heating.- Deductive Proofs of Almost Sure Persistence and Recurrence Properties.- Probabilistic CTL*: The Deductive Way.- Parametric Runtime Verification of C Programs.- Coqoon: an IDE for interactive proof development in Coq.- Multi-core symbolic bisimulation minimization.- Advances in Symbolic Probabilistic Model Checking with PRISM.- PRISM-PSY: Precise GPU-Accelerated Parameter Synthesis for Stochastic Systems.- T2: Temporal Property Verification.- RTD-Finder: A Tool for Compositional Verification of Real-Time Component-based Systems.- TcT: Tyrolean Complexity Tool.- Integrated Environment for Diagnosing Verification Errors.- JDart: A Dynamic Symbolic Analysis Framework.- Diagnostic Information for Control-Flow Analysis of Workflow Graphs.- Approaching the Coverability Problem Continuously.- On Atomicity in Presence of Non-atomic Writes.- Formalizing and Checking Thread Refinement for Data-Race-Free Execution Models.- The xSAP Safety Analysis Platform.- FACT: A Probabilistic Model Checker for Formal Verification with Confidence Intervals.- PrDK: Protocol Programming with Automata.- DLC: Compiling a Concurrent System Formal Specification to a Distributed Implementation.- PRISM-games 2.0: A Tool for Multi-Objective Strategy Synthesis for Stochastic Games.- Cerberus: Automated Synthesis of Enforcement Mechanisms for Security-sensitive Business Processes.- Developing & Debugging Proof Strategies by Tinkering.- v2c - A Verilog to C Translator Tool.- Parameterized Compositional Model Checking.- An O(m log n) Algorithm for Stuttering Equivalence and Branching Bisimulation.- Interpolants in Nonlinear Theories over the Reals.- PTIME Computation of Transitive Closures of Octagonal Relations.- Verification of Linear Controller Software.- Partial Order Reduction for Event-driven Multi-threaded Programs.- Acceleration in Multi-Pushdown Systems.- Reduction of Nondeterministic Tree Automata.- Online Timed Pattern Matching using Derivatives.- Hybridization based CEGAR for Hybrid Automata with Affine Dynamics.- Complementing Semi-deterministic Buechi Automata.- Reasoning About Information Flow Security of Separation Kernels with Channel-based Communication.- Some Complexity Results for Stateful Network Verification.- Characteristic Formulae for Session Types.- Bit-Vector Optimization.- Runtime Monitoring with Union-Find Structures.- Competition on Software Verification: SV-COMP.- Reliable and Reproducible Competition Results with BenchExec and Witnesses (Report on SV-COMP 2016).
Автор: Roberto Tempo; Giuseppe Calafiore; Fabrizio Dabben Название: Randomized Algorithms for Analysis and Control of Uncertain Systems ISBN: 1447161408 ISBN-13(EAN): 9781447161400 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces readers to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. It provides tools for dealing with uncertainty in control systems.
Автор: Oleg Granichin; Zeev (Vladimir) Volkovich; Dvora T Название: Randomized Algorithms in Automatic Control and Data Mining ISBN: 3662522918 ISBN-13(EAN): 9783662522912 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues.
Описание: Randomized Algorithms discusses two problems of fine pedigree: counting and generation, both of which are of fundamental importance to discrete mathematics and probability.
Автор: Giuseppe Calafiore; Fabrizio Dabbene Название: Probabilistic and Randomized Methods for Design under Uncertainty ISBN: 1849965528 ISBN-13(EAN): 9781849965521 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Probabilistic and Randomized Methods for Design under Uncertainty is a collection of contributions from the world`s leading experts in a fast-emerging branch of control engineering and operations research.
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