2018Unpublished venueRequires access

Appendix G: Basic notions of matrices

Shmuel Friedland, Mohsen Aliabadi

Open publisher page 0 citations

Abstract

A matrix is a rectangular array of elements called the entries from a given set of elements D. The horizontal arrays of a matrix are called its rows, and the vertical arrays are called its columns. A matrix is said to have the order m × n if it has m rows and n columns. An m × n matrix A can be represented in the following form:

About this research paper

What this paper is about

A matrix is a rectangular array of elements called the entries from a given set of elements D. The horizontal arrays of a matrix are called its rows, and the vertical arrays are called its columns. A matrix is said to have the order m × n if it has m rows and n columns. An m × n matrix A can be represented in the following form:

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

A matrix is a rectangular array of elements called the entries from a given set of elements D. The horizontal arrays of a matrix are called its rows, and the vertical arrays are called its columns. A matrix is said to have the order m × n if it has m rows and n columns. An m × n matrix A can be represented in the following form:

Key concepts: Row, Row and column spaces, Matrix (chemical analysis), Intersection (aeronautics), Column (typography), Combinatorics, Mathematics, Set (abstract data type)

Related papers

Back to paper searchBrowse research topicsOriginal source
Appendix G: Basic notions of matrices — Research Paper | ScholarLens