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import cvxpy as cp import networkx as nx import numpy as np Adjt = [(1,2,18),(1,5,15),(2,3,20),(2,4,60),(2,5,12), (3,4,30),(3,5,18),(4,6,10),(5,6,15)] 阅读全文
posted @ 2024-10-27 23:58
世梦
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import networkx as nx import numpy as np Adjt = [(1,2,20), (1,5,15), (2,3,20), (2,4,60), (2,5,25), (3,4,30), (3,5,18), (5,6,15)] G = nx.Graph() G.add_ 阅读全文
posted @ 2024-10-27 23:58
世梦
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import numpy as np import pandas as pd import cvxpy as cp import networkx as nx import matplotlib.pyplot as plt df = pd.read_excel('F:\python数学建模与算法\源 阅读全文
posted @ 2024-10-27 23:57
世梦
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import numpy as np import cvxpy as cp import networkx as nx n = 6 A=np.zeros((n,n)) A[0,[1,2]]=[2,7] A[1,2:5]=[4,6,8] A[2,[3,4]]=[1,3] A[3,[4,5]]=[1,6 阅读全文
posted @ 2024-10-27 23:57
世梦
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import numpy as np import pandas as pd import cvxpy as cp import networkx as nx import matplotlib.pyplot as plt plt.rcParams['font.sans-serif']=['Time 阅读全文
posted @ 2024-10-27 23:56
世梦
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import numpy as np import pandas as pd import cvxpy as cp import networkx as nx import matplotlib.pyplot as plt plt.rcParams['font.sans-serif']=['Time 阅读全文
posted @ 2024-10-27 23:56
世梦
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import numpy as np import pandas as pd import cvxpy as cp import networkx as nx import matplotlib.pyplot as plt plt.rcParams['font.sans-serif']=['Time 阅读全文
posted @ 2024-10-27 23:56
世梦
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import cvxpy import cvxpy as cp import numpy as np import pandas as pd from scipy.optimize import minimize import sympy as sp sp.init_printing(use_uni 阅读全文
posted @ 2024-10-27 23:55
世梦
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linprog from scipy.optimize import linprog c=[0,0,3,2] A=[[-1,-1,0,0],[0,0,-1,-1],[3,0,2,0],[0,3,0,2],[100,90,80,70]] b=[[-30],[-30],[120],[48],[10000 阅读全文
posted @ 2024-10-27 23:54
世梦
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import numpy as np import math from scipy.optimize import minimize, Bounds def func(x): return sum(math.sqrt(x[i]) for i in range(100)) def con(x): re 阅读全文
posted @ 2024-10-27 23:53
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