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这是用于线性方程组求解的ILUK预处理算法的实现。在VC++编译通过。矩阵采用压缩稀疏行格式存储(CSR),采用如下结构存储:struct Distmatrix {double **ma int **ja,dimension,*nnzrow } 很容易移植到自己定义数值计算软件包中。经本人测试计算效率比Fortran写的高很多(比如与Sparskit2比较)。-This is used for solving linear equations ILUK preconditioning algorithm. In VC++ Compiled through. Matrix using compressed sparse row storage format (CSR), using the following structure of memory: struct Distmatrix (double** ma int** ja, dimension,* nnzrow) be easily transplanted to their own definition of numerical computation package. I tested by calculating the efficiency ratio is much higher Fortran write (for example, compared with Sparskit2).
Date : 2025-07-16 Size : 525kb User : 张德柱

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这是用于线性方程组求解的ILUT预处理算法的实现。在VC++编译通过。矩阵采用压缩稀疏行格式存储(CSR) 很容易移植到自己定义数值计算软件包中。经本人测试计算效率比Fortran写的高很多(比如与Sparskit2比较)。-This is used for solving linear equations ILUT preconditioning algorithm. In VC++ Compiled through. Matrix using compressed sparse row storage format (CSR) is very easy to transplant to their own definition of numerical computation package. I tested by calculating the efficiency ratio is much higher Fortran write (for example, compared with Sparskit2).
Date : 2025-07-16 Size : 547kb User : 张德柱

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稀疏矩阵存储格式转换,从带状矩阵(BND)到压缩稀疏行(CSR) .f90格式-BNDCSR converts Banded Linpack format to Compressed Sparse Row format.
Date : 2025-07-16 Size : 1kb User : bndcsr

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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))
Date : 2025-07-16 Size : 2kb User : hi,你好
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