Mathematical Modeling in the Age of the Pandemic, Fox William P.
Автор: Strang Gilbert Название: Linear Algebra and Learning from Data ISBN: 0692196382 ISBN-13(EAN): 9780692196380 Издательство: Cambridge Academ Рейтинг: Цена: 66520.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.
Автор: Vassilios S. Vassiliadis et al Название: Optimization for Chemical and Biochemical Engineering: Theory, Algorithms, Modeling and Applications ISBN: 1107106834 ISBN-13(EAN): 9781107106833 Издательство: Cambridge Academ Рейтинг: Цена: 81310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A modern and unique treatment of process optimization which presents a thorough exposition of applications and algorithms in sufficient detail for practical use. A perfect tool for advanced undergraduate and graduate courses in chemical and biochemical engineering.
Автор: O`Connell Ann A., McCoach D. Betsy, Bell Bethany A. Название: Multilevel Modeling Methods with Introductory and Advanced Applications ISBN: 1648028721 ISBN-13(EAN): 9781648028724 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 114570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The topics range from basic to advanced, yet each chapter is designed to be able to stand alone as an instructional unit on its respective topic.
Автор: O`Connell Ann A., McCoach D. Betsy, Bell Bethany A. Название: Multilevel Modeling Methods with Introductory and Advanced Applications ISBN: 1648028713 ISBN-13(EAN): 9781648028717 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 79470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The topics range from basic to advanced, yet each chapter is designed to be able to stand alone as an instructional unit on its respective topic.
Автор: Rasmuson Название: Mathematical Modeling in Chemical Engineering ISBN: 1107049695 ISBN-13(EAN): 9781107049697 Издательство: Cambridge Academ Рейтинг: Цена: 60180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A solid introduction, equipping the reader with the insight and skill required to successfully formulate, construct, simplify, evaluate and use mathematical models in chemical engineering. The accompanying problems, tutorials, and projects provide the reader with hands-on experience, and include model formulation at different levels, analysis, parameter estimation and numerical solution.
Автор: Gershenfeld Название: The Nature of Mathematical Modeling ISBN: 052121050X ISBN-13(EAN): 9780521210508 Издательство: Cambridge Academ Рейтинг: Цена: 50680.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This 1998 book is about the nature of mathematical modeling, and about the kinds of techniques that are useful for modeling. This essential text will be of great value to anyone working in any quantitative or semi-quantitative discipline, including computer science, physics, applied mathematics, engineering, biology, economics and the social sciences, from undergraduates to leading researchers.
Автор: Melnik Roderick Название: Mathematical and Computational Modeling ISBN: 1118853989 ISBN-13(EAN): 9781118853986 Издательство: Wiley Рейтинг: Цена: 91820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Applied mathematics and computational science play a fundamental role in new discoveries in the sciences and engineering.
Автор: Rinaldi Sergio, Rossa Fabio Della, Dercole Fabio Название: Modeling Love Dynamics ISBN: 9814696315 ISBN-13(EAN): 9789814696319 Издательство: World Scientific Publishing Цена: 100320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book shows, for the very first time, how love stories - a vital issue in our lives - can be tentatively described with classical mathematics.
Features an authentic and engaging approach to mathematical modeling driven by real-world applications
With a focus on mathematical models based on real and current data, Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft(R) Office Excel(R) guides readers in the solution of relevant, practical problems by introducing both mathematical and Excel techniques.
The book begins with a step-by-step introduction to discrete dynamical systems, which are mathematical models that describe how a quantity changes from one point in time to the next. Readers are taken through the process, language, and notation required for the construction of such models as well as their implementation in Excel. The book examines single-compartment models in contexts such as population growth, personal finance, and body weight and provides an introduction to more advanced, multi-compartment models via applications in many areas, including military combat, infectious disease epidemics, and ranking methods. Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft(R) Office Excel(R) also features:
A modular organization that, after the first chapter, allows readers to explore chapters in any order
Numerous practical examples and exercises that enable readers to personalize the presented models by using their own data
Carefully selected real-world applications that motivate the mathematical material such as predicting blood alcohol concentration, ranking sports teams, and tracking credit card debt
References throughout the book to disciplinary research on which the presented models and model parameters are based in order to provide authenticity and resources for further study
Relevant Excel concepts with step-by-step guidance, including screenshots to help readers better understand the presented material
Both mathematical and graphical techniques for understanding concepts such as equilibrium values, fixed points, disease endemicity, maximum sustainable yield, and a drug's therapeutic window
A companion website that includes the referenced Excel spreadsheets, select solutions to homework problems, and an instructor's manual with solutions to all homework problems, project ideas, and a test bank
The book is ideal for undergraduate non-mathematics majors enrolled in mathematics or quantitative reasoning courses such as introductory mathematical modeling, applications of mathematics, survey of mathematics, discrete mathematical modeling, and mathematics for liberal arts. The book is also an appropriate supplement and project source for honors and/or independent study courses in mathematical modeling and mathematical biology.
Jeffrey T. Barton, PhD, is Professor of Mathematics in the Mathematics Department at Birmingham-Southern College. A member of the American Mathematical Society and Mathematical Association of America, his mathematical interests include approximation theory, analytic number theory, mathematical biology, mathematical modeling, and the history of mathematics.
With a focus on mathematical models based on real and current data, Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft(R) Office Excel(R)guides readers in the solution of relevant, practical problems by introducing both mathematical and Excel techniques.
The book begins with a step-by-step introduction to discrete dynamical systems, which are mathematical models that describe how a quantity changes from one point in time to the next. Readers are taken through the process, language, and notation required for the construction of such models as well as their implementation in Excel. The book examines single-compartment models in contexts such as population growth, personal finance, and body weight and provides an introduction to more advanced, multi-compartment models via applications in many areas, including military combat, infectious disease epidemics, and ranking methods. Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft(R) Office Excel(R) also features:
A modular organization that, after the first chapter, allows readers to explore chapters in any order
Numerous practical examples and exercises that enable readers to personalize the presented models by using their own data
Carefully selected real-world applications that motivate the mathematical material such as predicting blood alcohol concentration, ranking sports teams, and tracking credit card debt
References throughout the book to disciplinary research on which the presented models and model parameters are based in order to provide authenticity and resources for further study
Relevant Excel concepts with step-by-step guidance, including screenshots to help readers better understand the presented material
Both mathematical and graphical techniques for understanding concepts such as equilibrium values, fixed points, disease endemicity, maximum sustainable yield, and a drug's therapeutic window
A companion website that includes the referenced Excel spreadsheets, select solutions to homework problems, and an instructor's manual with solutions to all homework problems, project ideas, and a test bank
Автор: Jan Kallsen; Antonis Papapantoleon Название: Advanced Modeling in Mathematical Finance ISBN: 3319458736 ISBN-13(EAN): 9783319458731 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This Festschrift resulted from a workshop on “Advanced Modelling in Mathematical Finance” held in honour of Ernst Eberlein’s 70th birthday, from 20 to 22 May 2015 in Kiel, Germany. It includes contributions by several invited speakers at the workshop, including several of Ernst Eberlein’s long-standing collaborators and former students.Advanced mathematical techniques play an ever-increasing role in modern quantitative finance. Written by leading experts from academia and financial practice, this book offers state-of-the-art papers on the application of jump processes in mathematical finance, on term-structure modelling, and on statistical aspects of financial modelling. It is aimed at graduate students and researchers interested in mathematical finance, as well as practitioners wishing to learn about the latest developments.
This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.
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