Basic Vector/Matrix Structure and Notation

Autor: James E. Gentle
Rok vydání: 2017
Předmět:
Zdroj: Springer Texts in Statistics ISBN: 9783319648668
DOI: 10.1007/978-3-319-64867-5_1
Popis: Vectors and matrices are useful in representing multivariate numeric data, and they occur naturally in working with linear equations or when expressing linear relationships among objects. Numerical algorithms for a variety of tasks involve matrix and vector arithmetic. An optimization algorithm to find the minimum of a function, for example, may use a vector of first derivatives and a matrix of second derivatives; and a method to solve a differential equation may use a matrix with a few diagonals for computing differences.
Databáze: OpenAIRE