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Foundations of Mathematical Modelling for Engineering Problem Solving, Parikshit Narendra Mahalle , Nancy Ambritta P. , S



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Автор: Parikshit Narendra Mahalle , Nancy Ambritta P. , S   (Парикшит Нарендра Махалле)
Название:  Foundations of Mathematical Modelling for Engineering Problem Solving
Перевод названия: Парикшит Нарендра Махалле: Основы математического моделирования для решения инженерных задач
ISBN: 9789811988271
Издательство: Springer
Классификация:
ISBN-10: 9811988277
Обложка/Формат: Hardback
Страницы: 168
Вес: 0.474 кг.
Дата издания: 11.01.2023
Серия: Studies in autonomic, data-driven and industrial computing
Издание: 1st ed. 2023
Иллюстрации: 62 illustrations, color; 12 illustrations, black and white; xi, 168 p. 74 illus., 62 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.




Linear Algebra and Learning from Data

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 10809 р.
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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.

Mathematical Methods for Physics and Engineering

Автор: Riley
Название: Mathematical Methods for Physics and Engineering
ISBN: 0521679710 ISBN-13(EAN): 9780521679718
Издательство: Cambridge Academ
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Цена: 7549 р.
Наличие на складе: Ожидается поступление.

Описание: This highly acclaimed undergraduate textbook teaches all the mathematics for undergraduate courses in the physical sciences. Containing over 800 exercises, half come with hints and answers and, in a separate manual, complete worked solutions. The remaining exercises are intended for unaided homework; full solutions are available to instructors.

A Primer on Fourier Analysis for the Geosciences

Автор: Crockett, Robin (university Of Northampton)
Название: A Primer on Fourier Analysis for the Geosciences
ISBN: 1316600246 ISBN-13(EAN): 9781316600245
Издательство: Cambridge Academ
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Цена: 6347 р.
Наличие на складе: Нет в наличии.

Описание: An intuitive introduction to basic Fourier theory, with an emphasis on geoscience applications. Numerous worked examples from R are used to illustrate the theory, making this an ideal practical guide for graduate students and researchers who are using time-series analysis to quantify periodic features in geoscience data.

Primer on mathematical modelling

Автор: Quarteroni, Alfio Gervasio, Paola
Название: Primer on mathematical modelling
ISBN: 3030445402 ISBN-13(EAN): 9783030445409
Издательство: Springer
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Цена: 6123 р.
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Описание: In this book we describe the magic world of mathematical models: starting from real-life problems, we formulate them in terms of equations, transform equations into algorithms and algorithms into programs to be executed on computers. A broad variety of examples and exercises illustrate that properly designed models can, e.g.: predict the way the number of dolphins in the Aeolian Sea will change as food availability and fishing activity vary; describe the blood flow in a capillary network; calculate the PageRank of websites. This book also includes a chapter with an elementary introduction to Octave, an open-source programming language widely used in the scientific community.

Octave functions and scripts for dealing with the problems presented in the text can be downloaded from https://paola-gervasio.unibs.it/quarteroni-gervasioThis book is addressed to any student interested in learning how to construct and apply mathematical models.

Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells

Автор: Greg Conradi Smith
Название: Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
ISBN: 1107005361 ISBN-13(EAN): 9781107005365
Издательство: Cambridge Academ
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Цена: 16300 р.
Наличие на складе: Нет в наличии.

Описание: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.

Introduction to complex variables and applications

Автор: Ablowitz, Mark J. (university Of Colorado Boulder) Fokas, Athanassios S. (university Of Cambridge)
Название: Introduction to complex variables and applications
ISBN: 1108959725 ISBN-13(EAN): 9781108959728
Издательство: Cambridge Academ
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Цена: 7549 р.
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Описание: This introduction to complex variables, suitable as a text for a one-semester course, has been written for undergraduate students in applied mathematics, science, and engineering. It contains the essential topics along with advanced topics for use in challenging projects. Many worked examples, applications, and exercises are included.

Computing in Scilab

Автор: Chetana Jain
Название: Computing in Scilab
ISBN: 1009214195 ISBN-13(EAN): 9781009214193
Издательство: Cambridge Academ
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Цена: 10294 р.
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Описание: SciLab is a free open-source computing and graphics tool that allows students to learn physical and mathematical concepts with ease. Computing in SciLab has been designed for undergraduate students of physics and electronics following the CBCS-LOCF syllabus, and with extensive coverage of concepts, it focuses primarily on the applications of SciLab in improving the problem-solving skills of readers. All these tools are classroom-tested and focus on data visualization and numerical computing with SCILAB. The book covers important topics like linear algebra, matrices, plotting tools, curve fitting, differential equations, integral calculus, Fourier analysis, and equation solving.

Geomathematics

Автор: Michel, Volker
Название: Geomathematics
ISBN: 1108419445 ISBN-13(EAN): 9781108419444
Издательство: Cambridge Academ
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Цена: 10294 р.
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Описание: A comprehensive summary of the fundamental mathematical principles behind key topics in geophysics and geodesy. Each section begins with a problem in gravimetry, geomagnetics or seismology and analyses its mathematical features. With each chapter ending with a series of review questions, this is a valuable reference for students and researchers.

Mathematical Problem Solving and New Information Technologies

Автор: Joao P. Ponte; Joao F. Matos; Jose M. Matos; Domin
Название: Mathematical Problem Solving and New Information Technologies
ISBN: 3642634834 ISBN-13(EAN): 9783642634833
Издательство: Springer
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Цена: 30611 р.
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Описание: This book includes the revised papers presented at the NATO ARW "Information Technology and Mathematical Problem Solving Research", held in April 1991, in Viana do Castelo, Portugal, which focused on the implications of computerized learning environments and cognitive psychology research for these mathematical activities.

System Simulation Techniques with MATLAB and Simulink

Автор: Xue
Название: System Simulation Techniques with MATLAB and Simulink
ISBN: 1118647920 ISBN-13(EAN): 9781118647929
Издательство: Wiley
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Цена: 15435 р.
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Описание: System Simulation Techniques with MATLAB and Simulink comprehensively explains how to use MATLAB and Simulink to perform dynamic systems simulation tasks for engineering and non-engineering applications.

Advanced Problem Solving Using Maple

Автор: Fox, William P , Bauldry, William
Название: Advanced Problem Solving Using Maple
ISBN: 113860187X ISBN-13(EAN): 9781138601871
Издательство: Taylor&Francis
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Цена: 13369 р.
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Описание: The advanced text covers dynamical systems, single variable and multi-variable optimization, linear algebra, advanced model fitting techniques, game theory, and multi-attribute decision processes.

X Games in Mathematics: Sports Training That Counts!

Автор: Chartier Timothy P.
Название: X Games in Mathematics: Sports Training That Counts!
ISBN: 9811224870 ISBN-13(EAN): 9789811224874
Издательство: World Scientific Publishing
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Цена: 6006 р.
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Описание:

Sports analytics has gathered tremendous momentum as one of the most dynamic fields. Diving deep into the numbers of sports can be game changing or simply a fun exercise for fans. How do you get in the game with numbers? What questions can be explored? What actionable insights can be gleaned?


Do you like sports? This book will detail ways to analyze athletics to gain insight that can otherwise be obscured. Like math? You'll find many mathematical topics not involving sports. You'll also see how sports analytics can train you broadly in mathematics.


From coaching at the highest levels to national media broadcasts, analytics are becoming increasingly indispensable. Dive into the numbers behind soccer to basketball to baseball to boxing to swimming, dive into the numbers. Learn how to get in the game with sports and mathematics.


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