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Description: 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).
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Size: 537600 |
Author: 张德柱 |
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Description: 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).
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Size: 560128 |
Author: 张德柱 |
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Description: 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.
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Size: 1024 |
Author: bndcsr |
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Description: 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))
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Size: 2048 |
Author: hi，你好 |
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