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How to Solve Large Linear Systems

Solving the linear equation system n x n can also be a problem for a computer, even when the number of equations and unknowns is relatively;

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Large Scale Linear and Integer Optimization

of how to solve very large models in today's computing environment. The major goal of the book is to develop the theory of linear and integer;

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Large Scale Linear and Integer Optimization

of how to solve very large models in today's computing environment. The major goal of the book is to develop the theory of linear and integer;

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Introduction to Computational Linear Algebra

decompositions as well as LU and Cholesky's factorizations of matrices. The text then shows how to solve linear least squares problems, provides a;

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An Introduction to Nonlinear Analysis

The techniques that can be used to solve non-linear problems are far different than those that are used to solve linear problems. Many;

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An Introduction to Nonlinear Analysis

The techniques that can be used to solve non-linear problems are far different than those that are used to solve linear problems. Many;

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Bayesian Analysis of Linear Models

With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems, the need for a comprehensive, up-to-date;

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Bayesian Analysis of Linear Models

With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems, the need for a comprehensive, up-to-date;

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Control of Continuous Linear Systems

tools are summarized at the beginning of each chapter, after which the reader is guided through the problems and how to solve them. The author;

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Exact and Approximate Controllability for Distributed Parameter Systems

linear and non-linear diffusion equations; Part II is dedicated to the controllability of vibrating systems, typical ones being those modelled by;

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Parallel Random Search Algorithm

Random search methods are implemented to solve the wide variety of the large-scale discrete optimization problems when the implementation;

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Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications

of the most important classes of large and sparse linear systems. The solution of large and sparse linear systems is the most time-consuming;

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TensorFlow for Deep Learning From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If;

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Green's Functions and Linear Differential Equations

development of Green's functions and their use in solving linear ODEs and PDEs. The author discusses how to apply various approaches to solve initial;

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Iterative Solution of Large Linear Systems

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Numerical Linear Algebra for High-Performance Computers

Presents a unified treatment of recently developed techniques and current understanding about solving systems of linear equations and large;

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Mathematical Models of Non-linear Phenomena, Processes & Systems

toparticular non-linear problems; (ii) theoretical and computational studies dedicated to the physics and chemistry of non-linear micro-and nano-scale;

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Iterative Krylov Methods for Large Linear Systems

best solver for a given class of problems. The emphasis is on the main ideas and how they have led to efficient solvers such as CG, GMRES, and;

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Linear Programming

Feiring provides a well-written introduction to the techniques and applications of linear programming. He shows readers how to model, solve;

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Non-Linear Cooperative Effects in Open Quantum Systems

This monograph, Non-linear Cooperative Effects in Open Quantum Systems: Entanglement and Second Order Coherence is dedicated to the large;

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Advanced Linear Algebra for Engineers With Matlab

and continuous linear systems, and explores applications in control and electromechanical systems, to provide a complete solution for the;

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Linear Algebra For Dummies

information in a way that allows readers to fully digest not just the how of solving linear algebraic problems, but also the why. Mary Jane Sterling;

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Operations and Production Systems with Multiple Objectives

production systems are engineered and optimized * How to formulate and solve manufacturing systems problems * How to model and solve;

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Advances in the Control of Markov Jump Linear Systems with No Mode Observation

Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real;

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Elements of Matrix Modeling and Computing with MATLAB

As discrete models and computing have become more common, there is a need to study matrix computation and numerical linear algebra;

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Brave Green World

How we can harness cutting-edge biology and manufacturing to fight waste and pollution.In Nature, there is little;

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Iterative Solution of Large Sparse Systems of Equations

In the second edition of this classic monograph, complete with four new chapters and updated references, readers will now have access to;

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