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Elements of the General Theory of Optimal Algorithms

In this monograph, the authors develop a methodology that allows one to construct and substantiate optimal and suboptimal algorithms to;

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Approximate Iterative Algorithms

bounds and convergence rates, and for the optimal design of such algorithms. Techniques of functional analysis are used to derive analytical;

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Approximate Iterative Algorithms

bounds and convergence rates, and for the optimal design of such algorithms. Techniques of functional analysis are used to derive analytical;

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Optimal Control And Forecasting Of Complex Dynamical Systems

. The theory presented here can be efficiently applied to various problems, such as the determination of the optimal shape of a laser pulse to;

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Minimax Models in the Theory of Numerical Methods

of applied mathematics, which stimulates the search for new computational methods and ways to implement them. In Minimax Models in the theory;

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Optimal Design

Prior to the 1970's a substantial literature had accumulated on the theory of optimal design, particularly of optimal linear regression;

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Optimal Resource Allocation

Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases;

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Information Theory in Computer Vision and Pattern Recognition

widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information;

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A Relaxation-Based Approach to Optimal Control of Hybrid and Switched Systems

constructs a self-contained relaxation theory for optimal control processes governed by various types (sub-classes) of general hybrid and switched;

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Optimal Control for Chemical Engineers

Optimal Control for Chemical Engineers gives a detailed treatment of optimal control theory that enables readers to formulate and solve;

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Optimal Control for Chemical Engineers

Optimal Control for Chemical Engineers gives a detailed treatment of optimal control theory that enables readers to formulate and solve;

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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

many of the books available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the;

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Generalized Solutions of Operator Equations and Extreme Elements

the application of a priori estimations and a general topological approach to construct generalized solutions of linear and nonlinear operator;

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Optimization in Solving Elliptic Problems

- the optimization of numerical algorithms for solving elliptic problems. It presents detailed discussions of how asymptotically optimal;

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Lagrange Multiplier Approach to Variational Problems and Applications

Lagrange multiplier theory provides a tool for the analysis of a general class of nonlinear variational problems and is the basis for;

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DirichletDirichlet Domain Decomposition Methods for Elliptic Problems

. In this volume, the reader will find a brief historical overview, the basic results of the general theory of domain and space decomposition;

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Interpolation and Extrapolation Optimal Designs V1

associated with the construction of design. After a brief introduction on how the theory of optimal designs meets the theory of the uniform;

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A Solutions Manual for General Equilibrium, Overlapping Generations Models, and Optimal Growth Theory

This Solutions Manual contains answers to most of the problems in General Equilibrium, Overlapping Generations Models, and Optimal Growth;

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Advances in Dynamics, Optimization and Computation

algorithms for computing general invariant sets, constructing globally optimal controllers and solving multi-objective optimization problems.;

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Optimal Control of Switched Systems Arising in Fermentation Processes

The book presents, in a systematic manner, the optimal controls under different mathematical models in fermentation processes. Variant;

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Optimal and Adaptive Signal Processing

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations;

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Optimal and Adaptive Signal Processing

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations;

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A Mathematical View of Interior-point Methods in Convex Optimization

aims at developing a thorough understanding of the most general theory for interior-point methods, a class of algorithms for convex;

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DSP Integrated Circuits

DSP Integrated Circuits establishes the essential interface between theory of digital signal processing algorithms and their implementation;

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Interpolation and Extrapolation Optimal Designs 2

algorithms leading to optimal designs in multivariate models. Elfving s theory and the theorem of equivalence are presented extensively. The volume;

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Noisy Information and Computational Complexity

develops a general theory of computational complexity of continuous problems with noisy information and gives a number of applications;

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Noisy Information and Computational Complexity

develops a general theory of computational complexity of continuous problems with noisy information and gives a number of applications;

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