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  • Women in Mathematics in Latin America

    ICMAM 2024

    Series series Mathematics and Statistics (R0)
    This volume is a collection of extended abstracts authored by women mathematicians in Latin America. The contributions included span key areas such as analysis, partial differential equations, algebraic geometry, and combinatorics. Beyond the technical content, the volume reflects on the impact of women in mathematics in Latin America and forms part of the broader initiative led by the ... Leer más

    $134.09 USD

  • A Project-Based Guide to Undergraduate Research in Mathematics

    Starting and Sustaining Accessible Undergraduate Research

    Series series Foundations for Undergraduate Research in Mathematics
    This volume provides accessible and self-contained research problems designed for undergraduate student projects, and simultaneously promotes the development of sustainable undergraduate research programs. The chapters in this work span a variety of topical areas of pure and applied mathematics and mathematics education. Each chapter gives a self-contained introduction on a research topic with an ... Leer más

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  • p-adic Function Analysis

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    Series series Lecture Notes in Pure and Applied Mathematics
    "Written by accomplished and well-known researchers in the field, this unique volume discusses important research topics on p-adic functional analysis and closely related areas, provides an authoritative overview of the main investigative fronts where developments are expected in the future, and more. " ... Leer más

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  • Harmonic Analysis, Partial Differential Equations, Banach Spaces, and Operator Theory (Volume 2)

    Celebrating Cora Sadosky's Life

    Series series Springer Nature Proceedings excluding Computer Science
    This book is the second of a two volume series. Covering a range of subjects from operator theory and classical harmonic analysis to Banach space theory, this book features fully-refereed, high-quality papers exploring new results and trends in weighted norm inequalities, Schur-Agler class functions, complex analysis, dynamical systems, and dyadic harmonic analysis. Graduate students and ... Leer más

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  • Classical and Multilinear Harmonic Analysis: Volume 2

    Series Libro 138 - Cambridge Studies in Advanced Mathematics
    This two-volume text in harmonic analysis introduces a wealth of analytical results and techniques. It is largely self-contained and useful to graduates and researchers in pure and applied analysis. Numerous exercises and problems make the text suitable for self-study and the classroom alike. The first volume starts with classical one-dimensional topics: Fourier series; harmonic functions; Hilbert ... Leer más

    $74.99 USD

  • Analysis, Geometry, Nonlinear Optimization and Applications

    Series Libro 9 - Series on Computers and Operations Research
    This volume features an extensive account of both research and expository papers in a wide area of engineering and mathematics and its various applications.Topics treated within this book include optimization of control points, game theory, equilibrium points, algorithms, Cartan matrices, integral inequalities, Volterra integro-differential equations, Caristi-Kirk theorems, Laplace type integral ... Leer más

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  • Functional Equations in Applied Sciences

    Series Libro 199 - Mathematics in Science and Engineering
    The book provides the reader with the different types of functional equations that s/he can find in practice, showing, step by step, how they can be solved.A general methodology for solving functional equations is provided in Chapter 2. The different types of functional equations are described and solved in Chapters 3 to 8. Many examples, coming from different fields, as geometry, science, ... Leer más

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  • A Gentle Introduction to Data, Learning, and Model Order Reduction

    Techniques and Twinning Methodologies

    Series series Intelligent Technologies and Robotics (R0)
    This open access book explores the latest advancements in simulation performance, driven by model order reduction, informed and augmented machine learning technologies and their combination into the so-called hybrid digital twins. It provides a comprehensive review of three key frameworks shaping modern engineering simulations: physics-based models, data-driven approaches, and hybrid techniques ... Leer más

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  • Harmonic Analysis, Partial Differential Equations, Complex Analysis, Banach Spaces, and Operator Theory (Volume 1)

    Celebrating Cora Sadosky's life

    Series series Springer Nature Proceedings excluding Computer Science
    Covering a range of subjects from operator theory and classical harmonic analysis to Banach space theory, this book contains survey and expository articles by leading experts in their corresponding fields, and features fully-refereed, high-quality papers exploring new results and trends in spectral theory, mathematical physics, geometric function theory, and partial differential equations. ... Leer más

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  • Recent Developments in Industrial and Applied Mathematics

    Series series Springer Nature Proceedings excluding Computer Science
    This open access book contains review/research papers authored by fourteen plenary/invited speakers to the 10th International Congress on Industrial and Applied Mathematics (Tokyo, August 20–25, 2023). Written by top-level scientists recognized worldwide, this book covers a wide range topics at the frontline of industrial and applied mathematics. Some of them contain a kind of tutorial, some ... Leer más

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  • Optimization and Optimal Control

    Theory and Applications

    Series series Mathematics and Statistics (R0)
    During the last four decades there has been a remarkable development in optimization and optimal control. Due to its wide variety of applications, many scientists and researchers have paid attention to fields of optimization and optimal control. A huge number of new theoretical, algorithmic, and computational results have been observed in the last few years. This book gives the latest advances, ... Leer más

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  • Variational Methods for Machine Learning with Applications to Deep Networks

    Series series Engineering (R0)
    This book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models. Starting from the model-based approach to Machine Learning, the authors motivate Probabilistic Graphical Models and show how Bayesian inference naturally lends itself to this framework. The authors present detailed explanations of the main modern algorithms on ... Leer más

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