寻找下一个最大回文的两种方法的复杂性

时间:2017-04-13 12:36:19

标签: python time-complexity palindrome

我已经在网上提出了关于数字的下一个最大回文的问题,我已经通过python中的两种不同方法解决了这个问题。第一个是,

t = long(raw_input())

for i in range(t):
    a = (raw_input())
    a = str(int(a) + 1)
    palin = ""
    oddOrEven = len(a) % 2

    if oddOrEven:
        size = len(a) / 2
        center = a[size]
    else:
        size = 0
        center = ''

    firsthalf = a[0 : len(a)/2]
    secondhalf = firsthalf[::-1]
    palin = firsthalf + center + secondhalf

    if (int(palin) < int(a)):
        if(size == 0):
            firsthalf = str(int(firsthalf) + 1)
            secondhalf = firsthalf[::-1]
            palin = firsthalf + secondhalf

        elif(size > 0):
            lastvalue = int(center) + 1

            if (lastvalue == 10):
                firsthalf = str(int(firsthalf) + 1)
                secondhalf = firsthalf[::-1]
                palin = firsthalf + "0" + secondhalf

            else:
                palin = firsthalf + str(lastvalue) + secondhalf
    print palin

另一个是,

def inc(left):
    leftlist=list(left)
    last = len(left)-1
    while leftlist[last]=='9':
        leftlist[last]='0'
        last-=1

    leftlist[last] = str(int(leftlist[last])+1)
    return "".join(leftlist)


def palin(number):
    size=len(number)
    odd=size%2
    if odd:
        center=number[size/2]
    else:
        center=''
    print center
    left=number[:size/2]
    right = left[::-1]
    pdrome = left + center + right
    if pdrome > number:
        print pdrome
    else:
        if center:
            if center<'9':
                center = str(int(center)+1)
                print left + center + right
                return
            else:
                center = '0'
        if left == len(left)*'9':
            print '1' + (len(number)-1)*'0' + '1'
        else:
            left = inc(left)
            print left + center + left[::-1]

if __name__=='__main__':
    t = long (raw_input())
    while t:
        palin(raw_input())
        t-=1

从计算机科学的角度来看,这两种算法的复杂性是什么?哪一个使用效率更高?

1 个答案:

答案 0 :(得分:0)

我看到你在for循环中创建一个子列表,最大的子列表大小为n-1。然后循环到n。

两者的最坏情况是O(n ^ 2),其中n是t的长度。