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Iterative error correction codes have found widespread application in cellular communications, digital video broadcasting and wireless LANs. This self-contained treatment of iterative error correction presents all the key ideas needed to understand, design, implement and analyse these powerful codes. Turbo, low-density parity-check, and repeat-accumulate codes are given equal, detailed coverage, with precise presentations of encoding and decoding procedures. Worked examples are integrated into the text to illuminate each new idea and pseudo-code is included for important algorithms to facilitate the reader's development of the techniques described. For each subject, the treatment begins with the simplest case before generalizing. There is also coverage of advanced topics such as density-evolution and EXIT charts for those readers interested in gaining a deeper understanding of the field. This text is ideal for graduate students in electrical engineering and computer science departments, as well as practitioners in the communications industry.
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This book, written by two experts in the field, deals with classes of iterative methods for the approximate solution of fixed points equations for operators satisfying a special contractivity condition, the Fejér property. The book is elementary, self-contained and uses methods from functional analysis, with a special focus on the construction of iterative schemes. Applications to parallelization, randomization and linear programming are also considered.
Iterative methods (Mathematics) --- Numerical analysis. --- Mathematical analysis --- Iteration (Mathematics) --- Numerical analysis --- Ill-posed Problems. --- Iteration Method. --- Noisy Data. --- Nonlinear Equations. --- Optimization.
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Iterative learning control (ILC) has been a major control design methodology for twenty years; numerous algorithms have been developed to solve real-time control problems, from MEMS to batch reactors, characterised by repetitive control operations. Real-time Iterative Learning Control demonstrates how the latest advances in ILC can be applied to a number of plants widely encountered in practice. The authors provide a hitherto lacking systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in the linear and nonlinear plants that pervade mechatronics and batch processes are addressed. In particular, the book discusses: • ILC design in the continuous- and discrete-time domains; • design in the frequency and time domains; • design with problem-specific performance objectives including robustness and optimality; • design by means of classical tools based on Bode plots and state space; and • iterative-learning-based parametric identification. Real-time Iterative Learning Control will interest control engineers looking for examples of how this important control technique can be applied to a variety of real-life problems. With its systematic formulation and analysis of different system properties and performance and its exposition of open problems, academics and graduate students working in control will find it a useful reference to the current status of ILC.
Intelligent control systems. --- Iterative methods (Mathematics). --- Real-time control. --- Intelligent control systems --- Real-time control --- Iterative methods (Mathematics) --- Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- Numerical analysis. --- Robotics. --- Iteration (Mathematics) --- Engineering. --- Chemical engineering. --- Engineering design. --- Control engineering. --- Manufacturing industries. --- Machines. --- Tools. --- Electronics. --- Microelectronics. --- Control. --- Industrial Chemistry/Chemical Engineering. --- Manufacturing, Machines, Tools. --- Engineering Design. --- Electronics and Microelectronics, Instrumentation. --- Automation --- Machine theory --- Mathematical analysis --- Numerical analysis --- Manufactures. --- Control and Systems Theory. --- Manufacturing, Machines, Tools, Processes. --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries --- Chemistry, Industrial --- Engineering, Chemical --- Industrial chemistry --- Engineering --- Chemistry, Technical --- Metallurgy --- Electrical engineering --- Physical sciences --- Design, Engineering --- Industrial design --- Strains and stresses --- Design --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers
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This up-to-date book is on algorithms for large-scale unconstrained and bound constrained optimization. Optimization techniques are shown from a conjugate gradient algorithm perspective. Large part of the book is devoted to preconditioned conjugate gradient algorithms. In particular memoryless and limited memory quasi-Newton algorithms are presented and numerically compared to standard conjugate gradient algorithms. The special attention is paid to the methods of shortest residuals developed by the author. Several effective optimization techniques based on these methods are presented. Because of the emphasis on practical methods, as well as rigorous mathematical treatment of their convergence analysis, the book is aimed at a wide audience. It can be used by researches in optimization, graduate students in operations research, engineering, mathematics and computer science. Practitioners can benefit from numerous numerical comparisons of professional optimization codes discussed in the book.
Algorithms. --- Conjugate gradient methods. --- Mathematical optimization. --- Conjugate gradient methods --- Algorithms --- Mathematical optimization --- Mathematics --- Civil & Environmental Engineering --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Mathematical Theory --- Operations Research --- Algebra --- Calculus --- Algorism --- Gradient methods, Conjugate --- Mathematics. --- Operations research. --- Decision making. --- Calculus of variations. --- Quality control. --- Reliability. --- Industrial safety. --- Calculus of Variations and Optimal Control; Optimization. --- Operation Research/Decision Theory. --- Quality Control, Reliability, Safety and Risk. --- Arithmetic --- Approximation theory --- Equations --- Iterative methods (Mathematics) --- Foundations --- Numerical solutions --- System safety. --- Operations Research/Decision Theory. --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Prevention --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Isoperimetrical problems --- Variations, Calculus of --- Decision making
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