MIDAPACK - MIcrowave Data Analysis PACKage 1.0beta
Parallel software tools for high performance CMB DA analysis
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Functions | |
int | print_error_message (int error_number, char const *file, int line) |
Print error message corresponding to an error number. | |
int | copy_block (int ninrow, int nincol, double *Vin, int noutrow, int noutcol, double *Vout, int inrow, int incol, int nblockrow, int nblockcol, int outrow, int outcol, double norm, int set_zero_flag) |
Copy a matrix block from an input matrix inside an output matrix. | |
int | vect2nfftblock (double *V1, int v1_size, double *V2, int fft_size, int nfft, int lambda) |
convert the data vector structure into a matrix structure optimized for nfft | |
int | nfftblock2vect (double *V2, int fft_size, int nfft, int lambda, double *V1, int v1_size) |
convert the matrix structure optimized for nfft into the data vector structure | |
int | get_overlapping_blocks_params (int nbloc, int *idv, int *n, int local_V_size, int nrow, int idp, int *idpnew, int *local_V_size_new, int *nnew, int *ifirstBlock, int *ilastBlock) |
..Copy a matrix block from an input matrix inside an output matrix. |
These are lower internal routines.
int copy_block | ( | int | ninrow, |
int | nincol, | ||
double * | Vin, | ||
int | noutrow, | ||
int | noutcol, | ||
double * | Vout, | ||
int | inrow, | ||
int | incol, | ||
int | nblockrow, | ||
int | nblockcol, | ||
int | outrow, | ||
int | outcol, | ||
double | norm, | ||
int | set_zero_flag | ||
) |
Copy a matrix block from an input matrix inside an output matrix.
Copy a matrix block of a size nblockrow x nblockcol from the input matrix Vin (size ninrow x nincol) starting with the element (inrow, incol) to the output matrix Vout (size notrow x noutcol) starting with the element (outrow, outcol) after multiplying by norm. If the output matrix is larger than the block the extra elements are either left as they were on the input or zeroed if zero_flag is set to 1. If the block to be copied is larger than either the input or the output matrix an error occurs.
Definition at line 348 of file toeplitz.c.
int get_overlapping_blocks_params | ( | int | nbloc, |
int * | idv, | ||
int * | n, | ||
int | local_V_size, | ||
int | nrow, | ||
int | idp, | ||
int * | idpnew, | ||
int * | local_V_size_new, | ||
int * | nnew, | ||
int * | ifirstBlock, | ||
int * | ilastBlock | ||
) |
..Copy a matrix block from an input matrix inside an output matrix.
Copies a matrix block of a size nblockrow x nblockcol from the input matrix Vin (size ninrow x nincol) starting with the element (inrow, incol) to the output matrix Vout (size notrow x noutcol) starting with the element (outrow, outcol) after multiplying by norm. If the output matrix is larger than the block the extra elements are either left as they were on the input or zeroed if zero_flag is set to 1. If the block to be copied is larger than either the input or the output matrix an error occurs.
Definition at line 1424 of file toeplitz.c.
int nfftblock2vect | ( | double * | V2, |
int | fft_size, | ||
int | nfft, | ||
int | lambda, | ||
double * | V1, | ||
int | v1_size | ||
) |
convert the matrix structure optimized for nfft into the data vector structure
Copy only the middle part of the matrix structure into the previous vector structure. Indeed, we don't need the extra terms located on the edges of each column used only to keep the correlation of the datas in the product computation.
Definition at line 786 of file toeplitz.c.
int print_error_message | ( | int | error_number, |
char const * | file, | ||
int | line | ||
) |
Print error message corresponding to an error number.
error_number | error number |
file | file name |
line | line number |
Definition at line 108 of file toeplitz.c.
int vect2nfftblock | ( | double * | V1, |
int | v1_size, | ||
double * | V2, | ||
int | fft_size, | ||
int | nfft, | ||
int | lambda | ||
) |
convert the data vector structure into a matrix structure optimized for nfft
Copy the data vector structure into an equivalent matrix with nfft column. Thus, the obtained matrix is optimize for the nfft multithreading algorithm use. The middle part is a direct copy of the data vector and we copy on the edges of each column the lambda terms needed to fullfill the correlation of theses data.
Definition at line 740 of file toeplitz.c.