Dynamic Programming Challenge: Longest Increasing Subsequence
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Given an array of integers, find the length of the longest increasing subsequence. A subsequence is a sequence that can be derived from another sequence by deleting some or no elements without changing the order of the remaining elements.
For example:
#include <iostream> #include <vector> int longestIncreasingSubsequence(const std::vector<int>& nums) { // Your dynamic programming solution goes here. // Return the length of the longest increasing subsequence. } int main() { std::vector<int> sequence = {10, 22, 9, 33, 21, 50, 41, 60, 80}; int result = longestIncreasingSubsequence(sequence); std::cout << "Length of the longest increasing subsequence: " << result << std::endl; return 0; }I'm specifically interested in implementing this using dynamic programming techniques. How can I approach this problem using dynamic programming, and what would be the C++ code for solving it? Any insights, code snippets, or explanations would be incredibly helpful in mastering dynamic programming for this particular challenge. Thank you for your assistance!
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Given an array of integers, find the length of the longest increasing subsequence. A subsequence is a sequence that can be derived from another sequence by deleting some or no elements without changing the order of the remaining elements.
For example:
#include <iostream> #include <vector> int longestIncreasingSubsequence(const std::vector<int>& nums) { // Your dynamic programming solution goes here. // Return the length of the longest increasing subsequence. } int main() { std::vector<int> sequence = {10, 22, 9, 33, 21, 50, 41, 60, 80}; int result = longestIncreasingSubsequence(sequence); std::cout << "Length of the longest increasing subsequence: " << result << std::endl; return 0; }I'm specifically interested in implementing this using dynamic programming techniques. How can I approach this problem using dynamic programming, and what would be the C++ code for solving it? Any insights, code snippets, or explanations would be incredibly helpful in mastering dynamic programming for this particular challenge. Thank you for your assistance!
@Sachin-Bhatt
I had to look up what "dynamic programming" is! They like their labels for things, don't they?Am I missing something, or is this real easy? You start by setting a variable for the longest subsequence to 0. You count from left to right while the numbers increase. So for
10, 22and then9the longest so far is 2 (10, 22), terminated by 9 (because it is less than the preceding 22). You note that 2 is the longest so far, because it is more than 0, and so update the count variable. You know that you can resume looking from the9. You encounter9, 33and then21, 50, both terminated by smaller numbers, and those are also of length 2, no better then before. Finally you meet41, 60, 80, terminated by end of input, that is length 3, and so is the highest. So that is what you return....
