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Applied Linear Analysis for Chemical Engineers: A Multi-scale Approach with Mathematica®, Ram R. Ratnakar, Vemuri Balakotaiah


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Автор: Ram R. Ratnakar, Vemuri Balakotaiah   (Рам Р. Ратнакар)
Название:  Applied Linear Analysis for Chemical Engineers: A Multi-scale Approach with Mathematica®
Перевод названия: Рам Р. Ратнакар: Прикладной линейный анализ для инженеров-химиков. Многомасштабный подход с Mathemat
ISBN: 9783110739695
Издательство: Walter de Gruyter
Классификация: ISBN-10: 3110739690
Обложка/Формат: Paperback
Страницы: 784
Вес: 0.00 кг.
Дата издания: 31.12.2022
Серия: Engineering
Язык: English
Размер: 240 x 170
Читательская аудитория: College/higher education
Ключевые слова: Applied mathematics,Chemical engineering,General studies,Instruments & instrumentation engineering, MATHEMATICS / Applied,SCIENCE / General,TECHNOLOGY & ENGINEERING / Chemical & Biochemical,TECHNOLOGY & ENGINEERING / Electrical,TECHNOLOGY & ENGINEERING /
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Поставляется из: Германии
Описание:

This textbook gives a unified treatment of the solution of various linear equations that arise in science and engineering with examples. It is based on a course taught by the first author for over thirty years. Some unique features include:

  • Use of symbolic software for illustrating and enhancing the impact of physical parameter changes on solutions.
  • Multi-scale analysis of engineering problems with physical interpretation of time and length scales in terms of eigenvalues and eigenvectors/eigenfunctions.
  • Discussion of compartment models for various finite dimensional problems.
  • Evaluation and illustration of functions of matrices (and use of symbolic manipulation) to solve multi-component diffusion-convection-reaction problems.
  • Illustration of the techniques and interpretation of solutions to several classical engineering problems.
  • Emphasis on the connection between discrete (matrix algebra) and continuum.
  • Physical interpretation of adjoint operator and adjoint systems.
  • Use of complex analysis and algebra in the solution of practical engineering problems.



Applied Linear Analysis for Chemical Engineers: A Multi-scale Approach with Mathematica®

Автор: Ram R. Ratnakar, Vemuri Balakotaiah
Название: Applied Linear Analysis for Chemical Engineers: A Multi-scale Approach with Mathematica®
ISBN: 311073978X ISBN-13(EAN): 9783110739787
Издательство: Walter de Gruyter
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Цена: 129983.00 р.
Наличие на складе: Нет в наличии.

Описание:

The book details mathematical techniques for chemical and other engineers. Many practical examples encountered by chemical (and other) engineers, modern approach involving multiple length and time scales, use of symbolic software (such as Mathematica) and combination of analytical methods with graphics are included. It may be used by graduate chemical (and other) engineering students as well as industrial practitioners and possibly specialists.

Bayesian Logical Data Analysis for the Physical Sciences

Автор: Gregory
Название: Bayesian Logical Data Analysis for the Physical Sciences
ISBN: 0521150124 ISBN-13(EAN): 9780521150125
Издательство: Cambridge Academ
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Цена: 10454.00 р.
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Описание: Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. Background material is provided in appendices and supporting Mathematica (R) notebooks are available.

An Engineer`s Guide to Mathematica®

Автор: Magrab
Название: An Engineer`s Guide to Mathematica®
ISBN: 1118821262 ISBN-13(EAN): 9781118821268
Издательство: Wiley
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Цена: 12664.00 р.
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Описание: Free Mathematica 10 Update Included! Now available from www. wiley.

The Student`s Introduction to Mathematica and the Wolfram Language

Автор: Bruce F. Torrence, Eve A. Torrence
Название: The Student`s Introduction to Mathematica and the Wolfram Language
ISBN: 110840636X ISBN-13(EAN): 9781108406369
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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Описание: This book introduces Mathematica (R) and the Wolfram Language (TM) in the context of the standard university mathematics curriculum. It equips current and former students to harness these tools to explore ideas from pre-calculus, calculus, and linear algebra. Additional chapters on programming and 3D printing provide outlets for further exploration.

Numerical Linear Algebra

Автор: Wendland Holger
Название: Numerical Linear Algebra
ISBN: 131660117X ISBN-13(EAN): 9781316601174
Издательство: Cambridge Academ
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Цена: 6018.00 р.
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Описание: This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject. This book will be of particular use to applied mathematicians, engineers, computer scientists, and to all those interested in efficiently solving linear problems.

Numerical Linear Algebra: An Introduction

Автор: Holger Wendland
Название: Numerical Linear Algebra: An Introduction
ISBN: 1107147131 ISBN-13(EAN): 9781107147133
Издательство: Cambridge Academ
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Цена: 13781.00 р.
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Описание: This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject. This book will be of particular use to applied mathematicians, engineers, computer scientists, and to all those interested in efficiently solving linear problems.

Analysis with Mathematica®: Volume 1: Single Variable Calculus

Автор: Galina Filipuk, Andrzej Kozlowski
Название: Analysis with Mathematica®: Volume 1: Single Variable Calculus
ISBN: 3110590131 ISBN-13(EAN): 9783110590135
Издательство: Walter de Gruyter
Цена: 11148.00 р.
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Описание: A computer algebra system such as Mathematica is able to do much more than just numerics: This text shows how to tackle real mathematical problems from basic analysis. The reader learns how Mathematica represents domains, qualifiers and limits to implement actual proofs – a requirement to unlock the huge potential of Mathematica for a variety of applications.

Computational Economics and Finance

Автор: Hal R. Varian
Название: Computational Economics and Finance
ISBN: 1461275105 ISBN-13(EAN): 9781461275107
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book/software package divulges the combined knowledge of a whole international community of Mathematica users - from the fields of economics, finance, investments, quantitative business and operations research.

Statistics for Chemical and Process Engineers: A Modern Approach

Автор: Shardt Yuri a. W.
Название: Statistics for Chemical and Process Engineers: A Modern Approach
ISBN: 3030831892 ISBN-13(EAN): 9783030831899
Издательство: Springer
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Цена: 13974.00 р.
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Описание: A coherent, concise, and comprehensive course in the statistics needed for a modern career in chemical engineering covers all of the concepts required for the American Fundamentals of Engineering Examination. Statistics for Chemical and Process Engineers (second edition) shows the reader how to develop and test models, design experiments and analyze data in ways easily applicable through readily available software tools like MS Excel® and MATLAB® and is updated for the most recent versions of both. Generalized methods that can be applied irrespective of the tool at hand are a key feature of the text, and it now contains an introduction to the use of state-space methods. The reader is given a detailed framework for statistical procedures covering: * data visualization; * probability; * linear and nonlinear regression; * experimental design (including factorial and fractional factorial designs); and * dynamic process identification. Main concepts are illustrated with chemical- and process-engineering-relevant examples that can also serve as the bases for checking any subsequent real implementations. Questions are provided (with solutions available for instructors) to confirm the correct use of numerical techniques, and templates for use in MS Excel and MATLAB are also available for download. With its integrative approach to system identification, regression, and statistical theory, this book provides an excellent means of revision and self-study for chemical and process engineers working in experimental analysis and design in petrochemicals, ceramics, oil and gas, automotive and similar industries, and invaluable instruction to advanced undergraduate and graduate students looking to begin a career in the process industries.

Applied Numerical Linear Algebra

Автор: William W. Hager
Название: Applied Numerical Linear Algebra
ISBN: 1611976855 ISBN-13(EAN): 9781611976854
Издательство: Mare Nostrum (Eurospan)
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Цена: 11161.00 р.
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Описание: Applied Numerical Linear Algebra introduces students to numerical issues that arise in linear algebra and its applications. A wide range of techniques are touched on, including direct to iterative methods, orthogonal factorizations, least squares, eigenproblems, and nonlinear equations.Inside Applied Numerical Linear Algebra, readers will find:Clear and detailed explanations on a wide range of topics from condition numbers to the singular value decomposition.Material on nonlinear systems as well as linear systems.Frequent illustrations using discretizations of boundary-value problems or demonstrating other concepts.Exercises with detailed solutions at the end of the book.Supplemental material available at https://bookstore.siam.org/cl87/bonus.This textbook is appropriate for junior and senior undergraduate students and beginning graduate students in the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.

Автор: Eric Darve, Mary Wootters
Название: Numerical Linear Algebra with Julia
ISBN: 1611976545 ISBN-13(EAN): 9781611976540
Издательство: Mare Nostrum (Eurospan)
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Цена: 11161.00 р.
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Описание: Numerical Linear Algebra with Julia provides in-depth coverage of fundamental topics in numerical linear algebra, including how to solve dense and sparse linear systems, compute QR factorizations, compute the eigendecomposition of a matrix, and solve linear systems using iterative methods such as conjugate gradient. The style is friendly and approachable and cartoon characters guide the way.Inside this book, readers will finddetailed descriptions of algorithms,implementations in Julia that illustrate concepts and allow readers to explore methods on their own, andillustrations and graphics that emphasize core concepts and demonstrate algorithms. Numerical Linear Algebra with Julia is a textbook for undergraduate and graduate students. It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. The book may also serve as a reference for researchers in various fields such as computational engineering, statistics, data-science, and machine learning, who depend on numerical solvers in linear algebra.

Introduction to Numerical Linear Algebra

Автор: Christoph Borgers
Название: Introduction to Numerical Linear Algebra
ISBN: 161197691X ISBN-13(EAN): 9781611976915
Издательство: Mare Nostrum (Eurospan)
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Цена: 9907.00 р.
Наличие на складе: Нет в наличии.

Описание: Fit for students just starting to build a background in mathematics, this textbook provides an introduction to numerical methods for linear algebra problems.Introduction to Numerical Linear Algebrais ideal for a flipped classroom, as it provides detailed explanations that allow students to read on their own and instructors to go beyond lecturing, assumes that the reader has taken a course on linear algebra, but reviews background as needed, andcovers several topics not commonly addressed in related introductory books, including diffusion, a toy model of computed tomography, global positioning systems, the use of eigenvalues in analyzing stability of equilibria, a detailed derivation and careful motivation of the QR method for eigenvalues starting from power iteration, a discussion of the use of the SVD for assigning grades, and multigrid methods.This textbook is appropriate for undergraduate and beginning graduate students in mathematics and related fields. It can be used in the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory


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