int[][] c12 = MatrixSum(SparseMatrixMultiplicationHelper(A,B,a11,b12),SparseMatrixMultiplicationHelper(A,B,a12,b22)); int[][] c21 = MatrixSum(SparseMatrixMultiplicationHelper(A,B,a21,b11),SparseMatrixMultiplicationHelper(A,B,a22,b21)); int[][] c22 = MatrixSum(SparseMatrixMultiplicationHelper...
publicclassSolution {publicint[][] multiply(int[][] A,int[][] B) {introw_A =A.length;intcol_A = A[0].length;introw_B =B.length;intcol_B = B[0].length;int[][] result =newint[row_A][col_B];for(intr = 0; r < row_A; r++) { List<Integer> list =newArrayList<Integer...
Matam, K., Indarapu, S., Kothapalli, K.: Sparse matrix-matrix multiplication on modern architectures. In: 19th International Conference on High Performance Computing (HiPC), pp. 1–10. IEEE (2012)K. K. Matam, S. R. K. B. Indarapu, and K. Kothapalli, "Sparse matrix- matrix ...
HashMap, time O(m * max(n, l)), space O(n * l) 因为给定的matrix是稀疏矩阵,所以我们要做一些对于0的预处理。 由于C[i][k] = A[i][x] * B[x][k], 0 <= x <= n 我们可以用一个HashMap,将B中每行不为0的元素保存下来。 然后遍历A,将每个不为0的元素累加到C中去。 classSolution...
【Leetcode】311. Sparse Matrix Multiplication 1 1 交换了上述两行,时间可以大大减少,外面两个loop只遍历A的,遇到元素为0的,直接跳过遍历B 2 遇到A中为0的就跳过,这是因为它不会对结果矩阵中的任何一个元素提供增量
LeetCode "Sparse Matrix Multiplication",Takingadvantageof'sparse'classSolution{public:vector>multiply(vector>&A,vector>&B){vector>ret;intha=A.si...
This article presents the DBCSR (Distributed Block Compressed Sparse Row) library for scalable sparse matrix–matrix multiplication and its use in the CP2K program for linear-scaling quantum-chemical calculations. The library combines several approaches to implement sparse matrix multiplication in a way ...
Randolph E. Bank and Craig C. Douglas. Sparse matrix multiplication package (SMMP). Adv. Comput. Math., 1(1):127-137, 1993.Bank, R. E., & Douglas, C. C. (1993). Sparse matrix multiplication package (SMMP). Advances in Computational Mathematics, 1(1), 127-137....
311. Sparse Matrix Multiplication,classSolution{publicint[][]multiply(int[][]A,int[][]B){intm=A.length;intn=A[0].length;intnB=B[0].length;int[][]C=newint[m][nB];for(...
Sparse-matrix dense-matrix multiplication (SpMM) is a fundamental linear algebra operation and a building block for more complex algorithms such as finding the…