Matrix Decomposition

Views Updated: Dec 15, 2025

Abbreviation

Pronunciation

/ˈmeɪtrɪks ˌdikəmpəˈzɪʃən/

This paper describes the orthogonal matrix canonical forms for matrices and the orthogonal matrix decomposition form.
A universal method of data reconciliation based on classifying all process variables by matrix decomposition is proposed.
Matrix decomposition has been widely applied in many fields.
Within the framework of the paraxial approximation the matrix decomposition and equivalent transformation of misaligned optical systems are studied in detail based on matrix method in optics.
A MATLAB matrix decomposition algorithm for solving the one-dimensional time-dependent Schr? dinger equation is presented.

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