C++实现的稀疏矩阵类,可实现稀疏矩阵的存储计算等功能-Now, instead of using 2D, we will use doubly-linked lists to present sparse matrices. There are various methods of organizing doubly-linked-lists. We not only store elements of sparse matrices but also implement operations

稀疏矩阵向量乘法（Sparse Matrix-Vector Multiplication, SpMV）在许多科学计算程序中都有广泛的应用。数据矩阵A 是稀疏的，输入向量x 和输出向量y是稠密的。 y = Ax(Sparse Matrix-Vector Multiplication (SpMV) is widely used in many scientific computing programs. The data matrix A is sparse, the input vector x

利用Fortran中自带的Pardiso库函数解决稀疏矩阵，其利用ＣＳＲ格式储存数据（附带例子）(The Pardiso library function in Fortran is used to solve the sparse matrix, which stores data in CSR format (with examples))