Mathematical Modelling, Belkhode, Pramod

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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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: Riley
Название: Mathematical Methods for Physics and Engineering
ISBN: 0521679710 ISBN-13(EAN): 9780521679718
Издательство: Cambridge Academ
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Цена: 52800.00 T
Наличие на складе: Есть
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.

Автор: Brunton, Steven L. (university Of Washington) Kutz
Название: Data-driven science and engineering
ISBN: 1009098489 ISBN-13(EAN): 9781009098489
Издательство: Cambridge Academ
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Цена: 52790.00 T
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Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.

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: 40130.00 T
Наличие на складе: Поставка под заказ.
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.

Автор: Quarteroni, Alfio Gervasio, Paola
Название: Primer on mathematical modelling
ISBN: 3030445402 ISBN-13(EAN): 9783030445409
Издательство: Springer
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Цена: 37270.00 T
Наличие на складе: Поставка под заказ.
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.

Автор: Richard J Boucherie, Aleida Braaksma, Henk Tijms
Название: Operations Research: Introduction to Models and Methods
ISBN: 9811239819 ISBN-13(EAN): 9789811239816
Издательство: World Scientific Publishing
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Цена: 58080.00 T
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Описание:

This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.

The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.

The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.

Each chapter contains numerous exercises, and a large selection of exercises includes solutions.

Автор: Parikshit Narendra Mahalle , Nancy Ambritta P. , S
Название: Foundations of Mathematical Modelling for Engineering Problem Solving
ISBN: 9811988277 ISBN-13(EAN): 9789811988271
Издательство: Springer
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Цена: 139750.00 T
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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.

Автор: Conradi Smith Greg
Название: Cellular Biophysics and Modeling
ISBN: 0521183057 ISBN-13(EAN): 9780521183055
Издательство: Cambridge Academ
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Цена: 48570.00 T
Наличие на складе: Поставка под заказ.
Описание: An integrated guide to cellular biophysics and nonlinear dynamics, introducing students to the mathematical modeling of excitable cells. It combines empirical physiology and mathematical theory to present key interdisciplinary tools, highlighting how quantitative approaches can complement and advance bench research.

Автор: Marc Potters, Jean-Philippe Bouchaud
Название: A First Course in Random Matrix Theory
ISBN: 1108488080 ISBN-13(EAN): 9781108488082
Издательство: Cambridge Academ
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Цена: 61240.00 T
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Описание: Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world applications make it an essential tool for physicists, engineers, data analysts and economists.

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
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Цена: 81310.00 T
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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: Edited By P.N. Belkhode, J.P. Modak, V. Vidyasagar
Название: Mathematical modelling and simulation :
ISBN: 0367676354 ISBN-13(EAN): 9780367676353
Издательство: Taylor&Francis
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Цена: 168430.00 T
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Описание: This book explains the concept of man-machine systems by using the mining industry. The goal is to use a mathematical model based approach to improve the quality of human life of the workers and operators with the enhancement of productivity by controlling the process variables.

Автор: Font Francesc, Myers Tim G.
Название: Multidisciplinary Mathematical Modelling: Applications of Mathematics to the Real World
ISBN: 3030642747 ISBN-13(EAN): 9783030642747
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a selection of the talks resulting from research carried out by different groups at the Centre de Recerca Matematica and presented at the International Congress on Industrial and Applied Mathematics, held in Valencia in 2019. The book is addressed to researchers in all of these areas as well as in general mathematical modelling.