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An accessible introductory to advanced text focusing on integrating scientific computing methods and algorithms with modern data analysis techniques, including basic applications of machine learning in the sciences and engineering.
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This book provides a systematic and self-contained introduction to both deterministic and stochastic Navier–Stokes equations on the... Læs mere
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Grid generation is a common feature of many computational tasks which require the discretization and representation of space and surfaces. The papers in this... Læs mere
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A collection of papers based on talks given at the Workshop on Structured Adaptive Mesh Refinement (SAMR) Grid Methods. Divided into two parts, this... Læs mere
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Dynamical systems theory and related numerical algorithms provide powerful tools for studying the solution behavior of... Læs mere
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This volume presents recent work on simplicial and continuation methods applied to the solution of algebraic equations. Topics covered include:... Læs mere
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This text presents a brief introduction to numerical analysis for undergraduates and postgraduates studying applied mathematics, physics and computer science. It is also suitable for self-study by non-specialist professionals and graduate students in science and engineering.
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'Acta Numerica' is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.
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Focuses on the techniques of scientific computing: domain decomposition,... Læs mere
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