摘要：
edges = [ ("Pe", "T", 13), ("Pe", "N", 68), ("Pe", "M", 78), ("Pe", "L", 51), ("Pe", "Pa", 51), ("T", "N", 68), ("T", "M", 70), ("T", "L", 6 阅读全文
posted @ 2024-11-18 17:45
2839663913
阅读(32)
评论(0)
推荐(0)
摘要：
import heapq def prim(graph, start): num_nodes = len(graph) visited = [False] * num_nodes min_heap = [(0, start, -1)] mst_cost = 0 mst_edges = [] whil 阅读全文
posted @ 2024-11-18 17:44
2839663913
阅读(47)
评论(0)
推荐(0)
摘要：
initial_costs = [2.5, 2.6, 2.8, 3.1] salvage_values = [2.0, 1.6, 1.3, 1.1] maintenance_costs = [0.3, 0.8, 1.5, 2.0] dp = [[float('inf')] * 2 for _ in 阅读全文
posted @ 2024-11-18 17:43
2839663913
阅读(11)
评论(0)
推荐(0)
摘要：
from scipy.integrate import odeint import numpy as np import pylab as plt mu = 1/82.45; lamda= 1-mu dz = lambda z, t: [z[1], 2z[3]+z[0]-lamda(z[0]+mu) 阅读全文
posted @ 2024-11-18 17:28
2839663913
阅读(12)
评论(0)
推荐(0)
摘要：
from scipy.integrate import odeint import numpy as np import pylab as plt yx = lambda y,x: [y[1], np.sqrt(1+y[1]**2)/5/(1-x)] x0 = np.arange(0, 1, 0.0 阅读全文
posted @ 2024-11-18 17:28
2839663913
阅读(19)
评论(0)
推荐(0)
摘要：
import numpy as np from scipy.interpolate import interp1d, interp2d, UnivariateSpline, griddata import matplotlib.pyplot as plt np.random.seed(114514) 阅读全文
posted @ 2024-11-18 17:27
2839663913
阅读(14)
评论(0)
推荐(0)
摘要：
from scipy.integrate import odeint import numpy as np import pylab as plt np.random.seed(2) #为了进行一致性比较，每次运行取相同随机数 sigma=10; rho=28; beta=8/3; g=lambda 阅读全文
posted @ 2024-11-18 17:26
2839663913
阅读(28)
评论(0)
推荐(0)
摘要：
import numpy as np import pandas as pd import sympy as sp sp.init_printing(use_latex=True) from scipy.integrate import odeint import matplotlib.pyplot 阅读全文
posted @ 2024-11-18 17:25
2839663913
阅读(23)
评论(0)
推荐(0)
摘要：
import numpy as np from scipy.interpolate import interp1d, interp2d, UnivariateSpline, griddata import matplotlib.pyplot as plt t0 = np.linspace(700, 阅读全文
posted @ 2024-11-18 17:24
2839663913
阅读(19)
评论(0)
推荐(0)
浙公网安备 33010602011771号