Click on the title of a module below for general information, or on specific routines for detailed documentation.
Dense modulo-2 matrix routines:
Dimension macros: mod2dense_rows mod2dense_cols
Allocation: Copy/Clear: Input/Output: Elementary ops:
mod2dense_allocate mod2dense_clear mod2dense_print mod2dense_get
mod2dense_free mod2dense_copy mod2dense_write mod2dense_set
mod2dense_copyrows mod2dense_read mod2dense_flip
mod2dense_copycols
Matrix arithmetic: Matrix inversion:
mod2dense_transpose mod2dense_invert
mod2dense_add mod2dense_forcibly_invert
mod2dense_multiply mod2dense_invert_selected
mod2dense_equal
Sparse modulo-2 matrix routines:
Dimension macros: mod2sparse_rows mod2sparse_cols
Traversal macros: mod2sparse_first_in_row mod2sparse_next_in_row ...
Allocation: Copy/Clear: Input/Output: Elementary ops:
mod2sparse_allocate mod2sparse_clear mod2sparse_print mod2sparse_find
mod2sparse_free mod2sparse_copy mod2sparse_write mod2sparse_insert
mod2sparse_copyrows mod2sparse_read mod2sparse_delete
mod2sparse_copycols
Matrix arithmetic: Row/Column ops: LU decomposition:
mod2sparse_transpose mod2sparse_count_row mod2sparse_decomp
mod2sparse_add mod2sparse_count_col mod2sparse_forward_sub
mod2sparse_multiply mod2sparse_add_row mod2sparse_backward_sub
mod2sparse_mulvec mod2sparse_add_col
mod2sparse_equal
Discussion of sparse LU decomposition methods.
Modulo-2 matrix sparse/dense conversion:
mod2sparse_to_dense mod2dense_to_sparse
Random variate generation routines:
Set/Get state: Uniform: Discrete: Continuous: rand_seed rand_uniform rand_int rand_gaussian rand_gamma rand_get_state rand_uniopen rand_pickd rand_logistic rand_exp rand_use_state rand_pickf rand_cauchy rand_beta
Each of the modules above has a test program, called module-test. These programs are compiled by the command
See the source files for these test programs for further information.make tests