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This revised edition provides the mathematical background and algorithmic skills required for the production of numerical software. It includes rewritten and clarified proofs and derivations, as well as new topics such as Arnoldi iteration, and domain decomposition methods.
Numerical analysis --- Matrices --- Data processing --- Matrices - Data processing --- Data processing.
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Marketing --- Data processing --- Informatique --- Data processing. --- Marketing - Data processing
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Eigenvalues --- Data processing --- Data processing. --- Eigenvalues - Data processing.
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Science --- Technology --- Data processing --- Science - Data processing --- Technology - Data processing
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No other book covers such a wide scope of this aspect of graph theory.
Graph theory --- Data processing --- Data processing. --- Graph theory - Data processing
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Numerical analysis --- Data processing --- -Mathematical analysis --- Data processing. --- -Data processing --- Numerical analysis - Data processing
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"Data-driven discovery is revolutionizing the modelling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modelling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art"--
Engineering --- Science --- Mathematical analysis. --- Data processing. --- Mathematical analysis --- Data processing --- Engineering - Data processing --- Science - Data processing
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