Advanced Linear Algebra for Engineers with MATLAB, Dianat, Sohail A.

Автор: K.A. Stroud, Dexter Booth
Название: Advanced Engineering Mathematics
ISBN: 1352010259 ISBN-13(EAN): 9781352010251
Издательство: Bloomsbury Academic
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Цена: 12525.00 р.
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Описание:

A long-standing, best-selling, comprehensive textbook covering all the mathematics required on upper level engineering mathematics undergraduate courses.  Its unique approach takes you through all the mathematics you need in a step-by-step fashion with a wealth of examples and exercises. The text demands that you engage with it by asking you to complete steps that you should be able to manage from previous examples or knowledge you have acquired, while carefully introducing new steps. By working with the authors through the examples, you become proficient as you go. By the time you come to trying examples on their own, confidence is high.

Suitable for undergraduates in second and third year courses on engineering and science degrees.  

Автор: Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
Название: Mathematics for Machine Learning
ISBN: 110845514X ISBN-13(EAN): 9781108455145
Издательство: Cambridge Academ
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Цена: 6334.00 р.
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Описание: This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.

Автор: Trefethen, Lloyd N. Bau, David, Iii
Название: Numerical linear algebra
ISBN: 0898713617 ISBN-13(EAN): 9780898713619
Издательство: Mare Nostrum (Eurospan)
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Цена: 9656.00 р.
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Описание: Numerical Linear Algebra is a concise, insightful, and elegant introduction to the field of numerical linear algebra.

Автор: Thomas A. Garrity
Название: All the Math You Missed
ISBN: 1009009192 ISBN-13(EAN): 9781009009195
Издательство: Cambridge Academ
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Цена: 3960.00 р.
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Описание: The second edition of this bestselling book provides an overview of the key topics in undergraduate mathematics, allowing beginning graduate students to fill in any gaps in their knowledge. With numerous examples, exercises and suggestions for further reading, it is a must-have for anyone looking to learn some serious mathematics quickly.

Автор: Meckes Elizabeth S
Название: Linear Algebra
ISBN: 1107177901 ISBN-13(EAN): 9781107177901
Издательство: Cambridge Academ
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Цена: 9346.00 р.
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Описание: Linear Algebra offers a unified treatment of both matrix-oriented and theoretical approaches to the course. Written for students in pure and applied mathematics, as well as physics, engineering, and computer science, it is designed to facilitate the transition from calculus to advanced mathematics.

Автор: Boyd Stephen
Название: Introduction to Applied Linear Algebra
ISBN: 1316518965 ISBN-13(EAN): 9781316518960
Издательство: Cambridge Academ
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Цена: 6811.00 р.
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Описание: A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications. It combines straightforward explanations with numerous practical examples and exercises from data science, machine learning and artificial intelligence, signal and image processing, navigation, control, and finance.

Автор: Arak M. Mathai, Hans J. Haubold
Название: Linear Algebra: A Course for Physicists and Engineers
ISBN: 3110562359 ISBN-13(EAN): 9783110562354
Издательство: Walter de Gruyter
Цена: 7987.00 р.
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Описание: In order not to intimidate students by a too abstract approach, this textbook on linear algebra is written to be easy to digest by non-mathematicians. It introduces the concepts of vector spaces and mappings between them without dwelling on statements such as theorems and proofs too much. It is also designed to be self-contained, so no other material is required for an understanding of the topics covered. As the basis for courses on space and atmospheric science, remote sensing, geographic information systems, meteorology, climate and satellite communications at UN-affiliated regional centers, various applications of the formal theory are discussed as well. These include differential equations, statistics, optimization and some engineering-motivated problems in physics. ContentsVectorsMatricesDeterminantsEigenvalues and eigenvectorsSome applications of matrices and determinantsMatrix series and additional properties of matrices

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.

Автор: Hongyu Guo
Название: What Are Tensors Exactly?
ISBN: 9811241015 ISBN-13(EAN): 9789811241017
Издательство: World Scientific Publishing
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Цена: 8712.00 р.
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Описание:

Tensors have numerous applications in physics and engineering. There is often a fuzzy haze surrounding the concept of tensor that puzzles many students. The old-fashioned definition is difficult to understand because it is not rigorous; the modern definitions are difficult to understand because they are rigorous but at a cost of being more abstract and less intuitive.

The goal of this book is to elucidate the concepts in an intuitive way but without loss of rigor, to help students gain deeper understanding. As a result, they will not need to recite those definitions in a parrot-like manner any more. This volume answers common questions and corrects many misconceptions about tensors. A large number of illuminating illustrations helps the reader to understand the concepts more easily.

This unique reference text will benefit researchers, professionals, academics, graduate students and undergraduate students.

Автор: Kadry
Название: Mathematics for Engineers and Scientists Labs for Maxima
ISBN: 1771887273 ISBN-13(EAN): 9781771887274
Издательство: Taylor&Francis
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Цена: 17762.00 р.
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Описание: Mathematics for Engineers and Scientists Labs for Maxima, is designed to be a vital companion to math textbooks covering the topics of pre-calculus, calculus, linear algebra, differential equations, and probability and statistics. The volume will help readers apply nearly all of the Maxima skills discussed here to future courses and research.

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.
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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

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.