**Set Linear Algebra and Set Fuzzy Linear Algebra**

by W. B. V. Kandasamy, F. Smarandache, K. Ilanthenral

**Publisher**: InfoLearnQuest 2008**ISBN/ASIN**: 1599730294**ISBN-13**: 9781599730295**Number of pages**: 345

**Description**:

Set linear algebras, introduced by the authors in this book, are the most generalized form of linear algebras. These structures make use of very few algebraic operations and are easily accessible to non-mathematicians as well. The dominance of computers in everyday life calls for a paradigm shift in the concepts of linear algebra. The authors believe that set linear algebra will cater to that need.

Download or read it online for free here:

**Download link**

(2.5MB, PDF)

## Similar books

**Linear Algebra Review and Reference**

by

**Zico Kolter**-

**Stanford University**

From the tabble of contents: Basic Concepts and Notation; Matrix Multiplication; Operations and Properties; Matrix Calculus (Gradients and Hessians of Quadratic and Linear Functions, Least Squares, Eigenvalues as Optimization, etc.).

(

**14137**views)

**Linear Algebra C-2: Geometrical Vectors, Vector Spaces and Linear Maps**

by

**Leif Mejlbro**-

**BookBoon**

The book is a collection of solved problems in linear algebra. The second volume covers geometrical vectors, vector spaces and linear maps. All examples are solved, and the solutions usually consist of step-by-step instructions.

(

**9821**views)

**Numerical Methods for Large Eigenvalue Problems**

by

**Yousef Saad**-

**SIAM**

This book discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods for solving matrix eigenvalue problems that arise in various engineering applications.

(

**9014**views)

**Special Set Linear Algebra and Special Set Fuzzy Linear Algebra**

by

**W. B. V. Kandasamy, F. Smarandache, K. Ilanthenral**-

**CuArt**

Special Set Linear Algebras introduced by the authors in this free book is an extension of Set Linear Algebras, which are the most generalized form of linear algebras. These structures can be applied to multi-expert models.

(

**7145**views)