2013•Institution of Engineering and Technology eBooksRequires access

Matrices, Vectors, and Scalars

Roland Priemer

Open publisher page 0 citations

Abstract

One of the most important distinguishing features of MATLAB® is how easy it is to work with the matrix data type. We start this chapter with the definition of a matrix. Then, much of the mechanics of working with matrices in MATLAB will be presented. Given these fundamentals, matrix algebra will be applied to several applications, including circuit analysis. After you have completed this chapter, you will know about the origin of the concept of a matrix, the fundamentals of matrix algebra, how MATLAB is particularly well suited for matrix algebra, about many built-in MATLAB functions to find properties of a matrix, how to use MATLAB for resistive circuit analysis and how to solve systems of linear and nonlinear algebraic equations.

About this research paper

What this paper is about

One of the most important distinguishing features of MATLAB® is how easy it is to work with the matrix data type. We start this chapter with the definition of a matrix. Then, much of the mechanics of working with matrices in MATLAB will be presented. Given these fundamentals, matrix algebra will be applied to several applications, including circuit analysis. After you have completed this chapter, you will know about the origin of the concept of a matrix, the fundamentals of matrix algebra, how MATLAB is particularly well suited for matrix algebra, about many built-in MATLAB functions to find properties of a matrix, how to use MATLAB for resistive circuit analysis and how to solve systems of linear and nonlinear algebraic equations.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

One of the most important distinguishing features of MATLAB® is how easy it is to work with the matrix data type. We start this chapter with the definition of a matrix. Then, much of the mechanics of working with matrices in MATLAB will be presented. Given these fundamentals, matrix algebra will be applied to several applications, including circuit analysis. After you have completed this chapter, you will know about the origin of the concept of a matrix, the fundamentals of matrix algebra, how MATLAB is particularly well suited for matrix algebra, about many built-in MATLAB functions to find properties of a matrix, how to use MATLAB for resistive circuit analysis and how to solve systems of linear and nonlinear algebraic equations.

Key concepts: MATLAB, Linear algebra, Matrix (chemical analysis), Algebra over a field, Computer science, Matrix algebra, Numerical linear algebra, Matrix analysis

Related papers

Back to paper searchBrowse research topicsOriginal source
Matrices, Vectors, and Scalars — Research Paper | ScholarLens