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The function bip_ilp uses the GNU Linear Programming Kit library implemented in cvxopt to solve the constrained optimization problem of minimizing the amount of elements discarded from a binary matrix A.
In our case, A is typically of size number of atoms m times number of structures n, resulting in a set of m*n constraints (one for each element, roughly) making the problem scale as (m*n)**2, despite very sparse matrices.
The limit of this is hit very fast, several options need to be investigated:
implement the binary integer program from scratch, taking advantage of the sparsity of the constraints
use a completely different approach, such as hierarchical clustering of A.
applying the BIP to hierarchical subsets, for example the chains first, then for each chain the residues, and finally the atoms within residues
The text was updated successfully, but these errors were encountered:
The function
bip_ilp
uses the GNU Linear Programming Kit library implemented incvxopt
to solve the constrained optimization problem of minimizing the amount of elements discarded from a binary matrix A.In our case, A is typically of size number of atoms
m
times number of structuresn
, resulting in a set ofm*n
constraints (one for each element, roughly) making the problem scale as(m*n)**2
, despite very sparse matrices.The limit of this is hit very fast, several options need to be investigated:
The text was updated successfully, but these errors were encountered: