Abstract. A unified cellular method of matrix multiplication is proposed that is a hybrid of three methods, namely, Strassen’s and Laderman’s recursive methods and a fast cellular method for matrix multiplication. The interaction of these three methods provides the highest (in comparison with well-known methods) percentage (equal to 37%) of minimizing the multiplicative, additive, and overall complexities of cellular analogues of well-known matrix multiplication algorithms. The estimation of the computational complexity of the unified method is illustrated by the example of a model of obtaining a cellular analogue of the traditional matrix multiplication algorithm.

Keywords: linear algebra, cellular method for matrix multiplication, recursive Strassen’s method, recursive Laderman’s method, matrix multiplication algorithm.