FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
|
|
- Title Matrix Algebra with Computational Applications
- Author(s) Dirk Colbry
- Publisher: Michigan State University Libraries; ; eBook (Creative Commons Licensed)
- License(s): Creative Commons License (CC)
- Paperback N/A
- eBook HTML
- Language: English
- ISBN-10: N/A
- ISBN-13: 978-1-62610-107-4
- Share This:
This book is designed to introduce students to the use of Linear Algebra to solve real-world problems. These materials were developed specifically for students and instructors working in a “flipped classroom” model that emphasizes hands-on problem-solving activities during class meetings, with students watching lectures and completing readings and assignments outside of the class.
About the Authors- N/A
- Algebra, Abstract Algebra, and Linear Algebra
- Computational and Algorithmic Mathematics. Symbolic Computation
- Calculus and Mathematical Analysis
- Geometry and Topology
- Matrix Algebra with Computational Applications (Dirk Colbry)
- The Mirror Site (1) - HTML
- The Mirror Site (2) - HTML and PDF
-
Lecture Notes of Matrix Computations (Wen-Wei Lin)
Thoroughly details matrix computations and the accompanying theory alongside the author's useful insights, This book provides a clear and thorough introduction to matrix computations,a key component of scientific computing.
-
Fundamentals of Matrix Algebra (Gregory Hartman)
A college (or advanced high school) level text dealing with the basic principles of matrix and linear algebra. It covers solving systems of linear equations, matrix arithmetic, the determinant, eigenvalues, and linear transformations.
-
Matrix Algebra (Marco Taboga)
This is a course in matrix algebra, with a focus on concepts that are often used in probability and statistics. Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory.
-
Applied and Computational Linear Algebra: A First Course
This book is intended as a text for a graduate course that focuses on applications of linear algebra and on the algorithms used to solve the problems that arise in those applications. Use matrix theory to understand the workings of the algorithms.
-
Computational Methods of Linear Algebra (V. N. Faddeeva)
This book presents methods for the computational solution of some important problems of linear algebra: linear systems, linear least squares problems, eigenvalue problems, and linear programming problems.
-
Computational Linear Algebra and N-dimensional Geometry
This undergraduate textbook on Linear Algebra and n-Dimensional Geometry, in a self-teaching style, is invaluable for sophomore level undergraduates in mathematics, engineering, business, and the sciences.
-
Algebra: A Computational Introduction (John Scherk)
This book is a unique approach and presentation, the author demonstrates how software can be used as a problem-solving tool for algebra. It includes many computations, both as examples and as exercises.
-
Linear Algebra, Theory And Applications (Kenneth Kuttler)
This is a book on linear algebra and matrix theory. It gives a self- contained treatment of linear algebra with many of its most important applications which does not neglect arbitrary fields of scalars and the proofs of the theorems.
-
Linear Algebra (Jim Hefferon)
This textbook covers linear systems and Gauss' method, vector spaces, linear maps and matrices, determinants, and eigenvectors and eigenvalues. Each chapter has three or four discussions of additional topics and applications.
-
Linear Algebra: A Course for Physicists and Engineers
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 too much theorems and proofs. Various applications of the formal theory are discussed as well.
-
Applied Linear Algebra in Action (Vasilios N. Katsikis)
This textbook contains a collection of six high-quality chapters. The techniques are illustrated by a wide sample of applications. This book is devoted to Linear Mathematics by presenting problems in Applied Linear Algebra of general or special interest.
:
|
|