LinearAlgebra 1.4.1

概述

本模块包含一些线性代数工具。它包含类 定义矩阵和向量，以及用于 关于那些矩阵和向量。它是为了数学和 科学使用。这在线性代数课上节省了我很多时间。

课程

• vector: collection which defines a vector in Cartesian coordinates
• matrix: two-dimensional collection stored in row-major order

功能

• AxApproxB: solves Ax approximately equal to b; for use when the rows of matrix b are not in the column space of A
• axpy: ax+y where a is a scalar, and x and y are vectors
• bestfit: used to find a line of best fit from given points
• colVec: makes a matrix with one column
• det: returns the determinant of a square matrix. Can return a cross product if the top row contains the unit vectors.
• dot: returns the dot product of two vectors
• crossProduct: Returns a cross product
• GaussJordan: solves AX=B, where matrices A and B are known and X is returned. If B is not in the column-space of A, use AxApproxB.
• identityMatrix: makes an identity matrix of a given size
• linearCombination: returns a linear combination based on a list of scalars and a list of vectors
• mmMult: matrix-matrix multiplication
• mvMult: matrix-vector multiplication
• norm: takes the norm of a vector; defaults to 2 (Euclidian norm)
• permutationMatrix: makes a permutation matrix based on a given permutation vector
• proj: projection of one vector onto another
• rowVec: makes a matrix with one row
• transpose: transposes a matrix
• unitVector: constructs a unit vector
• v: wrapper around vector instantiation
• zeroMatrix: makes a zero matrix of a given size
• zeroVector: makes a zero vector of a given size

更多信息

包含的帮助文件中提供了帮助。