PGM results and bipartite code
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								bipartite.sage
									
									
									
									
									
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					# cogirth-packing gap of projections of graphic matroids
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					from sage.all import *
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					from sage.matroids.all import *
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					from sage.graphs.all import *
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					import gurobipy as gp
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					from gurobipy import GRB
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					env = gp.Env(empty=True)
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					env.setParam("OutputFlag",0)
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					env.start()
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					def representative_vectors(m, n):
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					    for w1 in range(m+1):
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					        for w2 in range(n+1):
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					            v = [0]*(m+n)
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					            v[:w1] = [1]*w1
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					            v[m:m+w2] = [1]*w2
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					            yield tuple(v)
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					def cogirthip(bases, integral=true):
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					    model = gp.Model("mip1",env=env)
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					    # model.Params.LogToConsole = 0
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					    groundset=frozenset()
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					    for B in bases: groundset=groundset|frozenset(B)
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					    x = dict()
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					    if integral:
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					        for e in groundset: x[e]=model.addVar(vtype=GRB.BINARY)
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					    else:
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					        for e in groundset: x[e]=model.addVar(vtype=GRB.CONTINUOUS,lb=0)
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					    model.setObjective(gp.quicksum([x[e] for e in groundset]), GRB.MINIMIZE)
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					    for B in bases:
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					        model.addConstr(gp.quicksum([x[e] for e in B])>=1)
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					    model.optimize()
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					    return model.ObjVal
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					# cnt=0   # actual number of instances tested
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					# f = lambda g: g.is_connected()
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					for N in range(2,10):
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					    for M in range(N,10):
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					        g=graphs.CompleteBipartiteGraph(N,M)
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					        A=g.incidence_matrix()
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					        n,m = A.dimensions()
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					        maxgap = 0
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					        for v in representative_vectors(N,M):
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					            # cnt=cnt+1
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					            v_col=matrix(v).transpose()
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					            A_t=A.augment(v_col)
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					            # print(A_t)
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					            MM=Matroid(matrix=A_t,field=GF(2))/m     #contract the last element
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					            # print(M)
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					            bases=MM.bases()
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					            strength=cogirthip(bases,integral=false)
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					            cogirth =cogirthip(bases,integral=true)
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					            gap = cogirth/strength
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					            if gap > maxgap:
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					                maxgap = gap
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					                maxcol = v
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					        print(f"K_{{{N},{M}}}, gap = {maxgap}, column = {v}")
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										108
									
								
								projection.out
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										108
									
								
								projection.out
									
									
									
									
									
										Normal file
									
								
							@@ -0,0 +1,108 @@
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					##################################
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					1.0
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					[1 0 0 1]
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					[0 1 0 1]
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					[0 0 1 0]
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					[1 1 1 0]
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					##################################
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					##################################
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					1.3333333333333333
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					[1 0 0 1]
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					[0 1 0 1]
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					[0 0 1 1]
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					[1 1 1 1]
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					##################################
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					##################################
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					1.4999999999999998
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					[1 0 0 0 1]
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					[0 1 0 0 1]
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					[0 0 1 0 1]
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					[0 0 0 1 1]
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					[1 1 1 1 0]
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					##################################
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					##################################
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					1.5
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					[1 1 0 0 0 0 1]
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					[0 0 1 1 0 0 1]
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					[0 0 0 0 1 1 1]
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					[1 0 1 0 1 0 0]
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					[0 1 0 1 0 1 1]
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					##################################
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					##################################
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					1.7142857142857137
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					[1 1 0 0 0 0 0 1]
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					[0 0 1 1 0 0 0 1]
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					[0 0 0 0 1 1 0 1]
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					[1 0 1 0 1 0 1 1]
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					[0 1 0 1 0 1 1 0]
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					##################################
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					##################################
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					1.7142857142857142
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					[1 1 0 0 0 0 0 1]
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					[0 0 1 1 0 0 0 1]
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					[0 0 0 0 1 1 0 1]
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					[0 0 0 0 0 0 1 1]
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					[1 0 1 0 1 0 0 0]
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					[0 1 0 1 0 1 1 0]
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					##################################
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					##################################
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					2.0
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					[1 1 0 0 0 0 0 0 1]
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					[0 0 1 1 0 0 0 0 1]
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					[0 0 0 0 1 1 0 0 1]
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					[0 0 0 0 0 0 1 1 1]
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					[1 0 1 0 1 0 1 0 0]
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					[0 1 0 1 0 1 0 1 0]
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					##################################
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					##################################
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					2.1333333333333337
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					[1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 1]
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					[1 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1]
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					[0 1 0 0 0 1 0 0 0 1 1 1 0 0 0 1]
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					[0 0 1 0 0 0 1 0 0 1 0 0 1 1 0 1]
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					[0 0 0 1 0 0 0 1 0 0 1 0 1 0 1 1]
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					[0 0 0 0 1 0 0 0 1 0 0 1 0 1 1 1]
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					##################################
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					##################################
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					2.1428571428571423
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					[1 1 1 0 0 0 0 0 0 0 0 0 0 0 1]
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					[0 0 0 1 1 1 0 0 0 0 0 0 0 0 1]
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					[0 0 0 0 0 0 1 1 1 0 0 0 0 0 1]
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					[0 0 0 0 0 0 0 0 0 1 1 1 0 0 1]
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					[1 0 0 1 0 0 1 0 0 1 0 0 1 0 1]
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					[0 1 0 0 1 0 0 1 0 0 1 0 0 1 1]
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					[0 0 1 0 0 1 0 0 1 0 0 1 1 1 0]
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					##################################
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					##################################
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					2.1818181818181817
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					[1 1 0 0 0 0 0 0 0 0 0 1]
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					[0 0 1 1 0 0 0 0 0 0 0 1]
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					[0 0 0 0 1 1 0 0 0 0 0 1]
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					[0 0 0 0 0 0 1 1 0 0 0 1]
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					[0 0 0 0 0 0 0 0 1 1 0 1]
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					[1 0 1 0 1 0 0 0 0 0 1 1]
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					[0 1 0 1 0 0 1 0 1 0 0 0]
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					[0 0 0 0 0 1 0 1 0 1 1 0]
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					##################################
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					##################################
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					2.181818181818182
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					[1 1 0 0 0 0 0 0 0 0 0 1]
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					[0 0 1 1 0 0 0 0 0 0 0 1]
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					[0 0 0 0 1 1 0 0 0 0 0 1]
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					[0 0 0 0 0 0 1 1 0 0 0 1]
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					[0 0 0 0 0 0 0 0 1 1 0 1]
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					[1 0 1 0 1 0 0 0 0 0 1 0]
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					[0 1 0 1 0 0 1 0 1 0 0 1]
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					[0 0 0 0 0 1 0 1 0 1 1 0]
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					##################################
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					##################################
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					2.4000000000000004
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					[1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1]
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					[0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 1]
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					[0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1]
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					[0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 1]
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					[0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1]
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					[1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1]
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					[0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1]
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					[0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1]
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					##################################
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@@ -29,8 +29,9 @@ def cogirthip(bases, integral=true):
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cnt=0   # actual number of instances tested
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					cnt=0   # actual number of instances tested
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					maxgap=0
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f = lambda g: g.is_connected()
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					f = lambda g: g.is_connected()
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for N in range(8,20):
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					for N in range(4,10):
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    for g in filter(f, graphs(N)):
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					    for g in filter(f, graphs(N)):
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        A=g.incidence_matrix()
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					        A=g.incidence_matrix()
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        n,m = A.dimensions()
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					        n,m = A.dimensions()
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@@ -47,9 +48,13 @@ for N in range(8,20):
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            strength=cogirthip(bases,integral=false)
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					            strength=cogirthip(bases,integral=false)
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            cogirth =cogirthip(bases,integral=true)
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					            cogirth =cogirthip(bases,integral=true)
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            gap = cogirth/strength
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					            gap = cogirth/strength
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            if gap > 3.01:
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					            # maxgap=max(gap,maxgap)
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                print(f"bad example! gap={gap}")
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					            if gap > maxgap:
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					                maxgap = gap
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					                print(f"find a large gap: {gap}")
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                with open("projection.out", "a") as file:
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					                with open("projection.out", "a") as file:
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                    file.write(str(gap)+"\n"+str(A_t)+"\n")
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					                    file.write("##################################\n"
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					                               +str(gap)+"\n"+str(A_t)
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					                               +"\n##################################\n")
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            if cnt%100==0:
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					            if cnt%100==0:
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                print(f"#{cnt},n={n},m={m}")
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					                print(f"#{cnt}, n={n}, max gap = {maxgap}")
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