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Numerical Analysis Meets Machine Learning series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is wr
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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti
Numerical Algorithms
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Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists.
Machine Learning Meets Quantum Physics
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Designing molecules and materials with desired properties is an important prerequisite for advancing technology in our modern societies. This requires both the
Advances in Numerical Methods for Hyperbolic Balance Laws and Related Problems
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A broad range of phenomena in science and technology can be described by non-linear partial differential equations characterized by systems of conservation laws