Sherman-Morrison/.gitignore

*.o
*.mod
*.dbg
*.cmdx
*.cmod
*.ilm
*.stb
.vscode
Slater*
Updates*
datasets/dataset.*
bin/
*.vfcrun.hd5
*.vfcraw.hd5
__pycache__
ci/__pycache__
*.h5
Added some initial data likle Makefiles and .gitignore. 2021-01-26 07:26:54 +01:00			`*.o`
Prepared the main Fortran infrastructure for the C++ calls. Updated the makefile. 2021-02-04 11:39:00 +01:00			`*.mod`
Made the build environment a bit more intelligent. Easily switchable by using 'source smvars.sh {intel\|llvm\|gnu}'. 2021-04-01 13:49:53 +02:00			`*.dbg`
- Updated cleaning target in Makefile - Updated gitignore - Added python script to compute basic statistical observables from testruns - Added test bash script to automate test_h5: the cycles in the dataset are not continues and test_h5 crashes if a cycle number is not present in the dataset. - Added common threshold for all 3 standard SM algos. 2021-04-09 17:21:31 +02:00			`*.cmdx`
			`*.cmod`
			`*.ilm`
			`*.stb`
Added QMCChem test dataset with 3 updates. Renamed files, added the Fortran program QMCChem_dataset_test.f90 to start testing the QMCChem dataset. Wrote and tested Fortran code to import the test dataset. 2021-02-12 12:04:21 +01:00			`.vscode`
The algorithm now works for the following 4x4 example with 2 updates: S = [1,0,1,-1; 0,1,1,0; -1,0,-1,0; 1,1,1,1] S_inv = [1,-1,1,1; 1,0,2,1; -1,1,-2,-1; -1,0,-1,0] u1 = [0,-2,0,0] u2 = [0,-1,0,0] upd_idx = [2,4] To go from Maponi's examples where the number of updates is always equal to the the dimension of the matrix, and the decomposition is always diagonal, to cases with a non-diagonal decomposition and a number of updates unequal to its size, the following changed needed to be made: * in the calculation of the {y0k} an extra inner for-loop needs to be added to make it a full matrix-vector multiplication due to the fact that A0 is not a diagonal matrix * in some places the use of the update-order vector p needs the be replaced with that of upd_idx to make sure the correct component of the ylk is selected and the proper rank-1 matrices are constructed * when a matrix is passed from Fortran to C++ with 2D adressing, it is passed in colum-major order. The passed matrix needs to be transposed before passing to C++. Doing this inside the algorithm will break compatibility with called from C/C++. 2021-02-21 18:28:08 +01:00			`Slater*`
* Modified Maponi algo 3 so that it can be used with a number of updates that is smaller than the size of the Slater-matrix * Removed the Slater-matrix as an argument, since it is not used in the algo. * Added a manual 4x4 example to debug MaponiA3 to work with a number of updates that is smaller than the size of the Slater-matrix * Added a new Octave script to quickly check if the computes inverse is correct. 2021-02-18 19:43:20 +01:00			`Updates*`
Made the build environment a bit more intelligent. Easily switchable by using 'source smvars.sh {intel\|llvm\|gnu}'. 2021-04-01 13:49:53 +02:00			`datasets/dataset.*`
Restructuring complete. Updated makefile. 2021-02-27 12:25:55 +01:00			`bin/`
Integration of vfc_ci The vfc_ci tool has been directly added to the repository, since it's not integrated into Verificarlo yet. The vfc_test_h5.cpp file defines a test inspired by test_h5.cpp that reads a list of cycles and dump the vfc_probes for these cycles. 2021-04-29 23:41:23 +02:00			`*.vfcrun.hd5`
			`*.vfcraw.hd5`
Move Makefile.vfc_ci to Makefile.verificarlo With the current setup, the CI should be able to be deployed correcly. However, we still ned to find the best solution to pull the dataset on the runner so the tests can be executed on it. 2021-04-30 11:22:22 +02:00			`__pycache__`
			`ci/__pycache__`
Update tests config with correct makefile 2021-05-03 16:33:39 +02:00			`*.h5`