An Introduction to Stochastic Modeling...
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This book presents the main themes, techniques, and applications of geometric integrators for researchers in mathematics, physics, astronomy, and chemistry and offers a bridge from...
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Bridges gap between modern machine learning methods and applied needs of economists, public health researchers, social scientists. Designed with students and practitioners in mind,...
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This widely used textbook demonstrates the power of numerical methods in the context of solving complex engineering and scientific problems...
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New Structures in Low-Dimensional Topology...
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Spherical Geometry in the Eighteenth Century I...
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Boundary Value Problems and Partial Differential Equations...
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This book bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides...
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Graph Neural Network Training...
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Over the course of his distinguished career, Robert Strichartz (1943-2021) had a substantial impact on the field of analysis with his deep, original results in classical harmonic, functional,...
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Stieltjes Differential And Integral Inequalities...
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This book delves into the dynamic intersection of optimization and discrete mathematics, offering a comprehensive exploration of their applications in data sciences...
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Advances in Nonlinear Dynamics and its Applications...
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Zariski Dense Subgroups, Number Theory and Geometric Applications...
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mso-bidi-theme-font: minor-latin;" Chapters are published in two volumes: Volume 1 features expanded notes from four mini-courses and two expository talks, while Volume 2 comprises...
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This book discusses the Universal Design for Learning (UDL) framework as essential tool for creating inclusive and effective mathematics classrooms and lessons in the twenty-first ...
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