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wiggleSubsequence.cpp
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wiggleSubsequence.cpp
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// Source : https://leetcode.com/problems/wiggle-subsequence/
// Author : Calinescu Valentin
// Date : 2016-08-08
/***************************************************************************************
*
* A sequence of numbers is called a wiggle sequence if the differences between
* successive numbers strictly alternate between positive and negative. The first
* difference (if one exists) may be either positive or negative. A sequence with fewer
* than two elements is trivially a wiggle sequence.
*
* For example, [1,7,4,9,2,5] is a wiggle sequence because the differences (6,-3,5,-7,3)
* are alternately positive and negative. In contrast, [1,4,7,2,5] and [1,7,4,5,5] are
* not wiggle sequences, the first because its first two differences are positive and
* the second because its last difference is zero.
*
* Given a sequence of integers, return the length of the longest subsequence that is a
* wiggle sequence. A subsequence is obtained by deleting some number of elements
* (eventually, also zero) from the original sequence, leaving the remaining elements in
* their original order.
*
* Examples:
* Input: [1,7,4,9,2,5]
* Output: 6
* The entire sequence is a wiggle sequence.
*
* Input: [1,17,5,10,13,15,10,5,16,8]
* Output: 7
* There are several subsequences that achieve this length. One is [1,17,10,13,10,16,8].
*
* Input: [1,2,3,4,5,6,7,8,9]
* Output: 2
*
* Follow up:
* Can you do it in O(n) time?
*
***************************************************************************************/
/* Solution
* --------
* 1) O(N)
*
* We notice that adding a new number to an existing subsequence means finding one that
* is smaller or bigger than the previous number, according to the difference between the
* previous number and the number before that as we always need to alternate between increasing
* and decreasing subsequences. If we encounter increasing or decreasing sequences of 2 or
* more consecutive numbers we can treat the entire subsequence as a number, because that way
* we can always be sure we don't miss any solution, as finding a number smaller than any
* number of an increasing subsequence is guaranteed to be smaller than the biggest number
* in the subsequence. Thus, we can only check the difference between consecutive numbers.
*
* Follow up:
*
* The time complexity is already O(N).
*/
class Solution {
public:
int wiggleMaxLength(vector<int>& nums) {
int solution = 0;//if we have an empty vector the solution is 0
if(nums.size())
{
solution = 1;
int bigger = 0;//0 is the starting point to be followed by either an increasing or decreasing sequence
for(int i = 1; i < nums.size(); i++)
{
if(nums[i] == nums[i - 1])
continue;//we can ignore duplicates as they can always be omitted
else if(nums[i] > nums[i - 1])
{
if(bigger == 0 || bigger == 2)
{
bigger = 1;//1 means we now have an increasing sequence
solution++;
}
}
else //if(nums[i] < nums[i - 1])
{
if(bigger == 0 || bigger == 1)
{
bigger = 2;//2 means we now have a decreasing sequence
solution++;
}
}
}
}
return solution;
}
};