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Oxford linear algebra for scientists, Lukas, Andre (professor Of Theoretical Physics, Professor Of Theoretical Physics, University Of Oxford)


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Автор: Lukas, Andre (professor Of Theoretical Physics, Professor Of Theoretical Physics, University Of Oxford)
Название:  Oxford linear algebra for scientists
ISBN: 9780198844921
Издательство: Oxford Academ
Классификация:


ISBN-10: 0198844921
Обложка/Формат: Paperback
Страницы: 432
Вес: 0.82 кг.
Дата издания: 09.06.2022
Язык: English
Иллюстрации: 56 line figures and haltones
Размер: 171 x 245 x 26
Читательская аудитория: Tertiary education (us: college)
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Aimed at first-year undergraduate student in physics and engineering, this textbook combines a rigorous theoretical introduction to linear algebra with many examples, solved problems, and exercises, as well as scientific applications of the subject, including internet search, artificial intelligence, and quantum computing.


Differential Equations and Linear Algebra

Автор: Strang
Название: Differential Equations and Linear Algebra
ISBN: 0980232791 ISBN-13(EAN): 9780980232790
Издательство: Cambridge Academ
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Цена: 9027.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Differential equations and linear algebra are two central topics in the undergraduate mathematics curriculum. This innovative textbook allows the two subjects to be developed either separately or together, illuminating the connections between two fundamental topics, and giving increased flexibility to instructors. It can be used either as a semester-long course in differential equations, or as a one-year course in differential equations, linear algebra, and applications. Beginning with the basics of differential equations, it covers first and second order equations, graphical and numerical methods, and matrix equations. The book goes on to present the fundamentals of vector spaces, followed by eigenvalues and eigenvectors, positive definiteness, integral transform methods and applications to PDEs. The exposition illuminates the natural correspondence between solution methods for systems of equations in discrete and continuous settings. The topics draw on the physical sciences, engineering and economics, reflecting the author's distinguished career as an applied mathematician and expositor.

Numerical linear algebra

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.
Наличие на складе: Поставка под заказ.

Описание: Numerical Linear Algebra is a concise, insightful, and elegant introduction to the field of numerical linear algebra.

Advanced Linear Algebra

Автор: Roman
Название: Advanced Linear Algebra
ISBN: 0387728287 ISBN-13(EAN): 9780387728285
Издательство: Springer
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Цена: 8132.00 р.
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Описание: Details the basics of linear algebra. This book discusses modules, emphasizing a comparison with vector spaces. It also discusses inner product spaces, eigenvalues, eigenvectors, finite dimensional spectral theory and finite dimensional spectral theorem for normal operators.

Matrix Calculus, Kronecker Product and Tensor Product: A Practical Approach to Linear Algebra, Multilinear Algebra and Tensor Calculus with Software I

Автор: Hardy Yorick, Steeb Willi-Hans
Название: Matrix Calculus, Kronecker Product and Tensor Product: A Practical Approach to Linear Algebra, Multilinear Algebra and Tensor Calculus with Software I
ISBN: 9811202516 ISBN-13(EAN): 9789811202513
Издательство: World Scientific Publishing
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Цена: 14256.00 р.
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Описание: Our self-contained volume provides an accessible introduction to linear and multilinear algebra as well as tensor calculus. Besides the standard techniques for linear algebra, multilinear algebra and tensor calculus, many advanced topics are included where emphasis is placed on the Kronecker product and tensor product. The Kronecker product has widespread applications in signal processing, discrete wavelets, statistical physics, Hopf algebra, Yang-Baxter relations, computer graphics, fractals, quantum mechanics, quantum computing, entanglement, teleportation and partial trace. All these fields are covered comprehensively.The volume contains many detailed worked-out examples. Each chapter includes useful exercises and supplementary problems. In the last chapter, software implementations are provided for different concepts. The volume is well suited for pure and applied mathematicians as well as theoretical physicists and engineers.New topics added to the third edition are: mutually unbiased bases, Cayley transform, spectral theorem, nonnormal matrices, Gateaux derivatives and matrices, trace and partial trace, spin coherent states, Clebsch-Gordan series, entanglement, hyperdeterminant, tensor eigenvalue problem, Carleman matrix and Bell matrix, tensor fields and Ricci tensors, and software implementations.

No Bullshit Guide to Linear Algebra

Автор: Savov Ivan
Название: No Bullshit Guide to Linear Algebra
ISBN: 0992001021 ISBN-13(EAN): 9780992001025
Издательство: Неизвестно
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Цена: 5380.00 р.
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Описание:

Linear algebra is the foundation of science and engineering. Knowledge of linear algebra is a prerequisite for studying statistics, machine learning, computer graphics, signal processing, chemistry, economics, quantum mechanics, and countless other applications. Indeed, linear algebra offers a powerful toolbox for modelling the real world.


The No Bullshit Guide to Linear Algebra shows the connections between the computational techniques of linear algebra, their geometric interpretations, and the theoretical foundations. This university-level textbook contains lessons on linear algebra written in a style that is precise and concise. Each concept is illustrated through definitions, formulas, diagrams, explanations, and examples of real-world applications. Readers build their math superpowers by solving practice problems and learning to use the computer algebra system SymPy to speed up tedious matrix arithmetic tasks.


"The book explains the concepts in a way that gives a strong intuitive understanding." - Joe Nestor, student


"It's very well written and a fun read " - Felix Kwok, professor


"I used this book in multiple big data courses when I needed a deeper understanding of the material." - Zane Zakraisek, student


The author, Ivan Savov, combines 17 years of tutoring experience with a B.Eng. in electrical engineering, an M.Sc. in physics, and a Ph.D. in computer science from McGill University.

Modern Computer Algebra

Автор: von zur Gathen
Название: Modern Computer Algebra
ISBN: 1107039037 ISBN-13(EAN): 9781107039032
Издательство: Cambridge Academ
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Цена: 17582.00 р.
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Описание: Designed to accompany one- or two-semester courses for advanced undergraduate or graduate students, this textbook is widely regarded as the `bible of computer algebra`. Its comprehensiveness and reliability also makes it an essential reference for professionals. This updated edition includes an overview of recent improvements in areas like primality testing.

Solving Polynomial Equation Systems IV

Автор: Mora
Название: Solving Polynomial Equation Systems IV
ISBN: 1107109639 ISBN-13(EAN): 9781107109636
Издательство: Cambridge Academ
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Цена: 27403.00 р.
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Описание: In this fourth and final volume the author covers extensions of Buchberger`s Algorithm, including a discussion of the most promising recent alternatives to Groebner bases: Gerdt`s involutive bases and Faugere`s F4 and F5 algorithms. This completes the author`s comprehensive treatise, which is a fundamental reference for any mathematical library.

Universal Algebra for Computer Scientists

Автор: Wolfgang Wechler
Название: Universal Algebra for Computer Scientists
ISBN: 3642767737 ISBN-13(EAN): 9783642767739
Издательство: Springer
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Цена: 13974.00 р.
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Описание: A new model-theoretic approach to universal algebra is offered in this book. The book concerns the algebraic characterization of axiomatic classes of algebras (equational, implicational, and universal Horn classes) by closure operators generalizing the famous Birkhoff Variety Theorem, and the algebraic characterization of the related theories.

Codes, Cryptology and Curves with Computer Algebra

Автор: Ruud Pellikaan, Xin-Wen Wu, Stanislav Bulygin, Relinde Jurrius
Название: Codes, Cryptology and Curves with Computer Algebra
ISBN: 0521817110 ISBN-13(EAN): 9780521817110
Издательство: Cambridge Academ
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Цена: 25186.00 р.
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Описание: This graduate-level text covers theoretical and applied aspects of protecting digital data. Starting from the basics, it introduces error-correcting codes and explains how to apply them to symmetric and public key cryptosystems. Readers will learn methods of protecting digital data while it is transmitted and while it is being stored.

Linear Fractional Diffusion-Wave Equation for Scientists and Engineers

Автор: Yuriy Povstenko
Название: Linear Fractional Diffusion-Wave Equation for Scientists and Engineers
ISBN: 3319179535 ISBN-13(EAN): 9783319179537
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Linear Fractional Diffusion-Wave Equation for Scientists and Engineers

Linear Fractional Diffusion-Wave Equation for Scientists and Engineers

Автор: Yuriy Povstenko
Название: Linear Fractional Diffusion-Wave Equation for Scientists and Engineers
ISBN: 3319373498 ISBN-13(EAN): 9783319373492
Издательство: Springer
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Цена: 13275.00 р.
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Описание:

1.Introduction.- 2.Mathematical Preliminaries.- 3.Physical Backgrounds.- 4.Equations with one Space Variable in Cartesian Coordinates.- 5.Equations with one Space Variable in Polar Coordinates.- 6.Equations with one Space Variable in Spherical Coordinates.- 7.Equations with two Space Variables in Cartesian Coordinates.- 8.Equations in Polar Coordinates.- 9.Axisymmetric equations in Cylindrical Coordinates.- 10.Equations with three Space Variables in Cartesian Coordinates.- 11.Equations with three space Variables in Cylindrical Coordinates.- 12.Equations with three space Variables in Spherical Coordinates.- Conclusions.- Appendix: Integrals.- References.

Linear algebra and optimization with applications to machine learning - volume i: linear algebra for computer vision, robotics, and machine learning

Автор: Gallier, Jean H (univ Of Pennsylvania, Usa) Quaintance, Jocelyn (univ Of Pennsylvania, Usa)
Название: Linear algebra and optimization with applications to machine learning - volume i: linear algebra for computer vision, robotics, and machine learning
ISBN: 9811207712 ISBN-13(EAN): 9789811207716
Издательство: World Scientific Publishing
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Цена: 14256.00 р.
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Описание:

This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.


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