Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Program to find number of operations needed to convert list into non-increasing list in Python
Suppose we have a list of numbers called nums. Now let us consider an operation where we take two consecutive values and merge it into one value by taking their sum. We have to find the minimum number of operations required so that the list turns into non−increasing.
So, if the input is like nums = [2, 6, 4, 10, 2], then the output will be 2, as we can merge [2, 6] to get [8, 4, 10, 2] and then merge [8, 4] to get [12, 10, 2].
To solve this, we will follow these steps −
if nums is empty, then
return 0
insert −inf at the end of nums
N := size of nums
dp := a list of size N and fill with 0
arr := a list of size N and fill with 0
p := size of arr
arr[p−1] := nums[N−1]
arr[p−2] := nums[N−2]
for i in range N − 3 to 0, decrease by 1, do
j := i
x := nums[j]
while j < N − 1 and x < arr[j + 1], do
j := j + 1
x := x + nums[j]
dp[i] := j − i + dp[j + 1]
arr[i] := x
return dp[0]
Let us see the following implementation to get better understanding −
Example
class Solution:
def solve(self, nums):
if not nums:
return 0
nums.append(float("−inf"))
N = len(nums)
dp = [0] * N
arr = [0] * N
arr[−1] = nums[−1]
arr[−2] = nums[−2]
for i in range(N − 3, −1, −1):
j = i
x = nums[j]
while j < N − 1 and x < arr[j + 1]:
j += 1
x += nums[j]
dp[i] = j − i + dp[j + 1]
arr[i] = x
return dp[0]
ob = Solution()
nums = [2, 6, 4, 10, 2]
print(ob.solve(nums))Input
[2, 6, 4, 10, 2]
Output
2
73 Views
