常见查找算法(Python)
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2022-07-12 09:14:42
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1.线性查找
def sequentia_search(nums,key):
for i in nums:
if i==key:
return True
return False
2.二分查找
def binary_search(nums,key):
start,end=0,len(nums)-1
while start<end:
mid = (start+end) // 2
if nums[mid]==key:
return True
elif nums[mid]>key:
end=mid-1
else:
start=mid+1
return False
3.插值查找
可以看成是二分查找的一种推广。
def binary2_search(nums,key):
start,end=0,len(nums)-1
while start<end:
mid=start+int((end-start)*(key-nums[start])/(nums[end]-nums[start]))
if nums[mid]==key:
return True
elif nums[mid]>key:
end=mid-1
else:
start=mid+1
return False
4.斐波那契查找
#coding:utf-8
def FibonacciSearch(data, length, key):
F = [0,1]
count = 1;
low = 0
high = length-1
if(key < data[low] or key>data[high]): #索引超出范围返回错误
print("Error!!! The ", key, " is not in the data!!!")
return -1
while F[count] < length: #生成斐波那契数列
F.append(F[count-1] + F[count])
count = count + 1
low = F[0]
high = F[count]
while length-1 < F[count-1]: #将数据个数补全
data.append(data[length-1])
length = length + 1
while(low<=high):
mid = low+F[count-1] #计算当前分割下标
if(data[mid] > key): #若查找记录小于当前分割记录
high = mid-1 #调整分割记录
count = count-1
elif(data[mid] < key): #若查找记录大于当前分割记录
low = mid+1
count = count-2
else: #若查找记录等于当前分割记录
return mid
if(data[mid] != key): #数据key不在查询列表data中返回错误
print("Error!!! The ", key, " is not in the data!!!")
return -1
length = 11
data = [0,1,16,24,35,48,59,62,73,88,99]
key = 35
idx = FibonacciSearch(data, length, key)
print(data)
print "The ", key, " is the ", idx+1, "th value of the data."
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