Leetcode: Sparse Matrix Multiplication
70ms solution: use one HashTable: 160 ms The idea is derived from a CMU lecture. A sparse matrix can be represented as a sequence ...
原文：[LeetCode] Sparse Matrix Multiplication
Problem Description: Given twosparse matricesAandB, return the result ofAB. You may assume thatA s column number is equal toB s row number. Example: The solution is much more easier than we may have i ...
2015-12-03 13:39 0 4329 推荐指数：
相关推荐
[LeetCode] Sparse Matrix Multiplication 稀疏矩阵相乘
Given two sparse matrices A and B, return the result of AB. You may assume that A's column number is equal to B's row number. Example: 这道题 ...
[LeetCode] 311. Sparse Matrix Multiplication 稀疏矩阵相乘
矩阵，返回矩阵相乘的结果。 在数值分析中，稀疏矩阵（Sparse matrix），是其元素大部分为零的 ...
311. Sparse Matrix Multiplication
： http://leetcode.com/problems/sparse-matrix-multipli ...
sparse.coo_matrix()
coo_matrix.tocsr（copy = False ） 将此矩阵转换为压缩稀疏行格式，重复的条目将汇总在一起。 举例： from numpy import array from scipy.sparse import coo_matrix row = array ...
[LeetCode] Complex Number Multiplication 复数相乘
Given two strings representing two complex numbers. You need to return a string representing their multiplication. Note i2 = -1 according ...
Scipy 中的稀疏矩阵——Sparse Matrix in Scipy
Sparse Matrix Types Block Sparse Row matrix class scipy.sparse.bsr_matrix(arg1, shape=None, dtype=None, copy=False, blocksize=None ...
An Simple Method for Sparse Matrix Optimization by GPU
这是一个相当simple & naive的方法，几行代码完成的CSR稀疏矩阵格式的优化，剔除0元素。由于目前AMD的OpenCL SDK依旧没有赶上NVIDIA CUDA SDK的进度——新的 ...