python6.5

最新推荐文章于 2025-12-19 20:14:41 发布

原创最新推荐文章于 2025-12-19 20:14:41 发布 · 154 阅读

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#数学建模

import numpy as np  
   
distances = np.array([  
    [0, 2, 7, np.inf, np.inf, np.inf],  
    [2, 0, 4, 6, 8, np.inf],           
    [7, 4, 0, 1, 3, np.inf],          
    [np.inf, 6, 1, 0, 1, 6],           
    [np.inf, 8, 3, 1, 0, 3],          
    [np.inf, np.inf, np.inf, 6, 3, 0]  
], dtype=float)  
 
students = np.array([50, 40, 60, 20, 70, 90])  
  
hospital_distances_sum = np.zeros(6)  
for i in range(6):   
    connected_distances = distances[i, :i+1].copy()  
    connected_distances = connected_distances[connected_distances != np.inf]  
    hospital_distances_sum[i] = np.sum(connected_distances)  
hospital_location = np.argmin(hospital_distances_sum)  
print(f"医院应该建在村庄 {chr(65 + hospital_location)} 处，使得最远村庄的人到医院看病所走的路最短。")  
  
school_total_distances = np.zeros(6)  
for i in range(6):  
   
    weighted_distances = 0  
    for j in range(6):  
        if distances[j, i] != np.inf:  
            weighted_distances += students[j] * distances[j, i]  
    school_total_distances[i] = weighted_distances  
  
school_location = np.argmin(school_total_distances)  
print(f"小学应该建在村庄 {chr(65 + school_location)} 处，使得所有学生上学走的总路程最短。")