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This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models.
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This volume addresses major topics, such as operator theory, approximation theory, fixed-point theory, holomorphic functions, summability theory, and analytic functions.
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This book collects select papers presented at the “International Conference on Mathematical Analysis and Application in Modeling,” held at Jadavpur University, Kolkata, India, on 9–12 January 2018.
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This book collects original research papers and survey articles presented at the International Conference on Recent Advances in Pure and Applied Mathematics (ICRAPAM), held at Delhi Technological University, India, on 23–25 October 2018.
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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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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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Now in it second edition, this unique book develops the subject of analysis organically, by presenting techniques and concepts that apply more generally to functions... Læs mere
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Offers a rigorous, comprehensive, and modern presentation of the most traditional concepts in measure theory and integration. Building on the classical foundations, it... Læs mere
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This monograph contains an in-depth and coherent treatment of... Læs mere
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Mechanics of Magnetostrictive Materials and Structures demonstrates the practical applications and uses for this cutting-edge smart material.... Læs mere
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Discusses machine learning models and their optimization in mathematical modeling. Covers important topics such as linear integer... Læs mere