cluding solving linear equations and finding inverses.න්‍යාස ගුණකිරීම,රේඛීය සමීකරණ සහ රේඛීය පරිණාමණ[සංස්කරණය]ප්‍රධාන ලිපිය: Matrix multiplicationSchematic depiction of the matrix product AB of two matrices A and B.Multiplication of two matrices is defined only if the number of columns of the left matrix is the same as the number of rows of the right matrix. If A is an m-by-n matrix and B is an n-by-p matrix, then their matrix product AB is the m-by-p matrix whose entries are given by dot product of the corresponding row of A and the corresponding column of B:[AB]i,j=Ai,1B1,j+Ai,2B2,j+⋯+Ai,nBn,j=∑r=1nAi,rBr,j,{\displaystyle [\mathbf {AB} ]_{i,j}=A_{i,1}B_{1,j}+A_{i,2}B_{2,j}+\cdots +A_{i,n}B_{n,j}=\sum _{r=1}^{n}A_{i,r}B_{r,j},}where 1 ≤ i ≤ m and 1 ≤ j ≤ p.[5] For example, the underlined entry 1 in the product is calculated as (1 × 1) + (0 × 1) + (2 × 0) = 1:[