Index

A

add_col() (bnbpy.colgen.Master method)

B

BasePriQueue (class in bnbpy.cython.priqueue) bnbpy.colgen module

branch() (bnbpy.cython.node.Node method) (bnbpy.cython.problem.Problem method) (bnbpy.cython.search.BranchAndBound method) BranchAndBound (class in bnbpy.cython.search)

C

calc_bound() (bnbpy.colgen.ColumnGenProblem method) (bnbpy.cython.problem.Problem method) check_feasible() (bnbpy.cython.node.Node method) children (bnbpy.cython.node.Node attribute) cleanup() (bnbpy.colgen.ColumnGenProblem method) clear() (bnbpy.cython.priqueue.BasePriQueue method) ColumnGenProblem (class in bnbpy.colgen) compute_bound() (bnbpy.cython.node.Node method)

copy() (bnbpy.colgen.ColumnGenProblem method) (bnbpy.colgen.Master method) (bnbpy.colgen.Pricing method) (bnbpy.cython.node.Node method) (bnbpy.cython.solution.Solution method) cost (bnbpy.colgen.MasterSol attribute) (bnbpy.cython.search.SearchResults attribute) (bnbpy.cython.solution.Solution attribute)

D

dequeue() (bnbpy.cython.priqueue.BasePriQueue method) (bnbpy.cython.search.BranchAndBound method)

dequeue_callback() (bnbpy.cython.search.BranchAndBound method) duals (bnbpy.colgen.MasterSol attribute)

E

enqueue() (bnbpy.cython.priqueue.BasePriQueue method) (bnbpy.cython.search.BranchAndBound method)

enqueue_callback() (bnbpy.cython.search.BranchAndBound method) ERROR (bnbpy.cython.status.OptStatus attribute) evaluate() (bnbpy.colgen.Pricing method)

F

FATHOM (bnbpy.cython.status.OptStatus attribute) fathom() (bnbpy.cython.solution.Solution method)

FEASIBLE (bnbpy.cython.status.OptStatus attribute) filter_by_lb() (bnbpy.cython.priqueue.BasePriQueue method)

G

get_lower_bound() (bnbpy.cython.priqueue.BasePriQueue method)

I

index (bnbpy.cython.node.Node attribute)

INFEASIBLE (bnbpy.cython.status.OptStatus attribute) is_feasible() (bnbpy.cython.problem.Problem method)

L

lb (bnbpy.cython.node.Node attribute) (bnbpy.cython.search.SearchResults attribute) (bnbpy.cython.solution.Solution attribute)

level (bnbpy.cython.node.Node attribute)

M

master (bnbpy.colgen.ColumnGenProblem attribute) Master (class in bnbpy.colgen)

MasterSol (class in bnbpy.colgen) module bnbpy.colgen

N

new_col (bnbpy.colgen.PriceSol attribute) NO_SOLUTION (bnbpy.cython.status.OptStatus attribute)

Node (class in bnbpy.cython.node) not_empty() (bnbpy.cython.priqueue.BasePriQueue method)

O

OPTIMAL (bnbpy.cython.status.OptStatus attribute)

OptStatus (class in bnbpy.cython.status) OTHER (bnbpy.cython.status.OptStatus attribute)

P

parent (bnbpy.cython.node.Node attribute) pop_lower_bound() (bnbpy.cython.priqueue.BasePriQueue method) post_eval_callback() (bnbpy.cython.search.BranchAndBound method) pre_eval_callback() (bnbpy.cython.search.BranchAndBound method) price_tol (bnbpy.colgen.Pricing attribute)

PriceSol (class in bnbpy.colgen) pricing (bnbpy.colgen.ColumnGenProblem attribute) Pricing (class in bnbpy.colgen) problem (bnbpy.cython.node.Node attribute) Problem (class in bnbpy.cython.problem)

R

red_cost (bnbpy.colgen.PriceSol attribute)

RELAXATION (bnbpy.cython.status.OptStatus attribute)

S

SearchResults (class in bnbpy.cython.search) set_feasible() (bnbpy.cython.solution.Solution method) set_infeasible() (bnbpy.cython.solution.Solution method) set_lb() (bnbpy.cython.solution.Solution method) set_optimal() (bnbpy.cython.solution.Solution method) set_solution() (bnbpy.cython.node.Node method) set_weights() (bnbpy.colgen.Pricing method) solution (bnbpy.cython.node.Node attribute) (bnbpy.cython.search.SearchResults attribute)

Solution (class in bnbpy.cython.solution) solution_callback() (bnbpy.cython.search.BranchAndBound method) solutions (bnbpy.colgen.Pricing attribute) solve() (bnbpy.colgen.Master method) (bnbpy.colgen.Pricing method) (bnbpy.cython.search.BranchAndBound method) status (bnbpy.cython.search.SearchResults attribute) (bnbpy.cython.solution.Solution attribute)

W

warmstart() (bnbpy.cython.problem.Problem method)