A Unified Introduction to Linear Algebra
Author: Alan Tucker
Publisher: MacMillan Publishing Company
Published: 1988
Total Pages: 570
ISBN-13:
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A Unifield Introduction to Linear Algebra
Author: Alan Tucker
Publisher:
Published: 1988
Total Pages: 540
ISBN-13: 9780029461648
DOWNLOAD EBOOK →Introduction to Applied Linear Algebra
Author: Stephen Boyd
Publisher: Cambridge University Press
Published: 2018-06-07
Total Pages: 477
ISBN-13: 1316518965
DOWNLOAD EBOOK →A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Linear Algebra, Signal Processing, and Wavelets - A Unified Approach
Author: Øyvind Ryan
Publisher: Springer
Published: 2019-03-05
Total Pages: 360
ISBN-13: 3030018121
DOWNLOAD EBOOK →This book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended. The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the MATLAB code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.
Student Solution Manual to Accompany the 4th Edition of Vector Calculus, Linear Algebra, and Differential Forms, a Unified Approach
Author: John Hamal Hubbard
Publisher:
Published: 2009
Total Pages: 284
ISBN-13: 9780971576674
DOWNLOAD EBOOK →Linear Models and the Relevant Distributions and Matrix Algebra
Author: David A. Harville
Publisher: CRC Press
Published: 2023-10-23
Total Pages: 242
ISBN-13: 1000983757
DOWNLOAD EBOOK →• Exercises and solutions are included throughout, from both the first and second volume • Includes coverage of additional topics not covered in the first volume • Highly valuable as a reference book for graduate students or researchers
An Introduction to Wavelets Through Linear Algebra
Author: M.W. Frazier
Publisher: Springer
Published: 2013-12-11
Total Pages: 517
ISBN-13: 3642855709
DOWNLOAD EBOOK →Mathematics majors at Michigan State University take a "Capstone" course near the end of their undergraduate careers. The content of this course varies with each offering. Its purpose is to bring together different topics from the undergraduate curriculum and introduce students to a developing area in mathematics. This text was originally written for a Capstone course. Basic wavelet theory is a natural topic for such a course. By name, wavelets date back only to the 1980s. On the boundary between mathematics and engineering, wavelet theory shows students that mathematics research is still thriving, with important applications in areas such as image compression and the numerical solution of differential equations. The author believes that the essentials of wavelet theory are sufficiently elementary to be taught successfully to advanced undergraduates. This text is intended for undergraduates, so only a basic background in linear algebra and analysis is assumed. We do not require familiarity with complex numbers and the roots of unity.
A (Terse) Introduction to Linear Algebra
Author: Yitzhak Katznelson
Publisher: American Mathematical Soc.
Published: 2008
Total Pages: 234
ISBN-13: 0821844199
DOWNLOAD EBOOK →Linear algebra is the study of vector spaces and the linear maps between them. It underlies much of modern mathematics and is widely used in applications.
Linear Algebra
Author: Elizabeth S. Meckes
Publisher: Cambridge University Press
Published: 2018-05-24
Total Pages: 448
ISBN-13: 1316836029
DOWNLOAD EBOOK →Linear Algebra offers a unified treatment of both matrix-oriented and theoretical approaches to the course, which will be useful for classes with a mix of mathematics, physics, engineering, and computer science students. Major topics include singular value decomposition, the spectral theorem, linear systems of equations, vector spaces, linear maps, matrices, eigenvalues and eigenvectors, linear independence, bases, coordinates, dimension, matrix factorizations, inner products, norms, and determinants.
Matrix Algebra for Linear Models
Author: Marvin H. J. Gruber
Publisher: John Wiley & Sons
Published: 2013-12-13
Total Pages: 391
ISBN-13: 111860881X
DOWNLOAD EBOOK →A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. The book provides a unified presentation of the mathematical properties and statistical applications of matrices in order to define and manipulate data. Written for theoretical and applied statisticians, the book utilizes multiple numerical examples to illustrate key ideas, methods, and techniques crucial to understanding matrix algebra’s application in linear models. Matrix Algebra for Linear Models expertly balances concepts and methods allowing for a side-by-side presentation of matrix theory and its linear model applications. Including concise summaries on each topic, the book also features: Methods of deriving results from the properties of eigenvalues and the singular value decomposition Solutions to matrix optimization problems for obtaining more efficient biased estimators for parameters in linear regression models A section on the generalized singular value decomposition Multiple chapter exercises with selected answers to enhance understanding of the presented material Matrix Algebra for Linear Models is an ideal textbook for advanced undergraduate and graduate-level courses on statistics, matrices, and linear algebra. The book is also an excellent reference for statisticians, engineers, economists, and readers interested in the linear statistical model.
