**Applied and Computational Linear Algebra: A First Course**

by Charles L. Byrne

**Publisher**: University of Massachusetts Lowell 2013**Number of pages**: 504

**Description**:

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. Often the particular nature of the applications will prompt us to seek algorithms with particular properties; we then turn to the matrix theory to understand the workings of the algorithms.

Download or read it online for free here:

**Download link**

(2.2MB, PDF)

## Similar books

**Linear Algebra C-4: Quadratic equations in two or three variables**

by

**Leif Mejlbro**-

**BookBoon**

The book is a collection of solved problems in linear algebra, this fourth volume covers quadratic equations in two or three variables. All examples are solved, and the solutions usually consist of step-by-step instructions.

(

**10795**views)

**Lectures on Linear Algebra and Matrices**

by

**G. Donald Allen**-

**Texas A&M University**

Contents: Vectors and Vector Spaces; Matrices and Linear Algebra; Eigenvalues and Eigenvectors; Unitary Matrices; Hermitian Theory; Normal Matrices; Factorization Theorems; Jordan Normal Form; Hermitian and Symmetric Matrices; Nonnegative Matrices.

(

**10810**views)

**The Hermitian Two Matrix Model with an Even Quartic Potential**

by

**M. Duits, A.B.J. Kuijlaars, M. Yue Mo**-

**American Mathematical Society**

The authors consider the two matrix model with an even quartic potential and an even polynomial potential. The main result is the formulation of a vector equilibrium problem for the limiting mean density for the eigenvalues of one of the matrices.

(

**2342**views)

**Applied Linear Algebra in Action**

by

**Vasilios N. Katsikis**-

**InTech**

Topics: Matrices, Moments and Quadrature; Structured Approaches to General Inverse Eigenvalue Problems; Eigenvalue Problems; Nonnegative Inverse Elementary Divisors Problem; Some Recent Advances in Nonlinear Inverse Scattering in 2D; and more.

(

**4768**views)