Longest Increasing Odd Even Subsequence
Last Updated :
27 Jul, 2022
Given an array of size n. The problem is to find the length of the subsequence in the given array such that all the elements of the subsequence are sorted in increasing order and also they are alternately odd and even.
Note that the subsequence could start either with the odd number or with the even number.
Examples:
Input : arr[] = {5, 6, 9, 4, 7, 8}
Output : 6
{5, 6, 9,4,7,8} is the required longest
increasing odd even subsequence which is the array itself in this case
Input : arr[] = {1, 12, 2, 22, 5, 30, 31, 14, 17, 11}
{1,12,5,30,31,14,17} is the required longest
increasing odd even subsequence
Output : 7
Naive Approach: Consider all subsequences and select the ones with alternate odd even numbers in increasing order. Out of them select the longest one. This has an exponential time complexity.
Efficient Approach:
Let L(i) be the length of the LIOES (Longest Increasing Odd Even Subsequence) ending at index i such that arr[i] is the last element of the LIOES.
Then, L(i) can be recursively written as:
- L(i) = 1 + max( L(j) ) where 0 < j < i and (arr[j] < arr[i]) and (arr[i]+arr[j])%2 != 0; or
- L(i) = 1, if no such j exists.
To find the LIOES for a given array, we need to return max(L(i)) where 0 < i < n.
Implementation: A dynamic programming approach has been implemented below for the above mentioned recursive relation.
C++
// C++ implementation to find the longest
// increasing odd even subsequence
#include <bits/stdc++.h>
using namespace std;
// function to find the longest
// increasing odd even subsequence
int longOddEvenIncSeq(int arr[], int n)
{
// lioes[i] stores longest increasing odd
// even subsequence ending at arr[i]
int lioes[n];
// to store the length of longest increasing
// odd even subsequence
int maxLen = 0;
// Initialize LIOES values for all indexes
for (int i = 0; i < n; i++)
lioes[i] = 1;
// Compute optimized LIOES values
// in bottom up manner
for (int i = 1; i < n; i++)
for (int j = 0; j < i; j++)
if (arr[i] > arr[j] &&
(arr[i] + arr[j]) % 2 != 0
&& lioes[i] < lioes[j] + 1)
lioes[i] = lioes[j] + 1;
// Pick maximum of all LIOES values
for (int i = 0; i < n; i++)
if (maxLen < lioes[i])
maxLen = lioes[i];
// required maximum length
return maxLen;
}
// Driver program to test above
int main()
{
int arr[] = { 1, 12, 2, 22, 5, 30,
31, 14, 17, 11 };
int n = sizeof(arr) / sizeof(n);
cout << "Longest Increasing Odd Even "
<< "Subsequence: "
<< longOddEvenIncSeq(arr, n);
return 0;
}
Java
// Java implementation to find the longest
// increasing odd even subsequence
import java.util.*;
import java.lang.*;
public class GfG{
// function to find the longest
// increasing odd even subsequence
public static int longOddEvenIncSeq(int arr[],
int n)
{
// lioes[i] stores longest increasing odd
// even subsequence ending at arr[i]
int[] lioes = new int[n];
// to store the length of longest
// increasing odd even subsequence
int maxLen = 0;
// Initialize LIOES values for all indexes
for (int i = 0; i < n; i++)
lioes[i] = 1;
// Compute optimized LIOES values
// in bottom up manner
for (int i = 1; i < n; i++)
for (int j = 0; j < i; j++)
if (arr[i] > arr[j] &&
(arr[i] + arr[j]) % 2 != 0
&& lioes[i] < lioes[j] + 1)
lioes[i] = lioes[j] + 1;
// Pick maximum of all LIOES values
for (int i = 0; i < n; i++)
if (maxLen < lioes[i])
maxLen = lioes[i];
// required maximum length
return maxLen;
}
// driver function
public static void main(String argc[]){
int[] arr = new int[]{ 1, 12, 2, 22,
5, 30, 31, 14, 17, 11 };
int n = 10;
System.out.println("Longest Increasing Odd"
+ " Even Subsequence: "
+ longOddEvenIncSeq(arr, n));
}
}
/* This code is contributed by Sagar Shukla */
Python3
# Python3 implementation to find the longest
# increasing odd even subsequence
# function to find the longest
# increasing odd even subsequence
def longOddEvenIncSeq( arr , n ):
# lioes[i] stores longest increasing odd
# even subsequence ending at arr[i]
lioes = list()
# to store the length of longest increasing
# odd even subsequence
maxLen = 0
# Initialize LIOES values for all indexes
for i in range(n):
lioes.append(1)
# Compute optimized LIOES values
# in bottom up manner
i=1
for i in range(n):
for j in range(i):
if (arr[i] > arr[j] and
(arr[i] + arr[j]) % 2 != 0 and
lioes[i] < lioes[j] + 1):
lioes[i] = lioes[j] + 1
# Pick maximum of all LIOES values
for i in range(n):
if maxLen < lioes[i]:
maxLen = lioes[i]
# required maximum length
return maxLen
# Driver to test above
arr = [ 1, 12, 2, 22, 5, 30, 31, 14, 17, 11 ]
n = len(arr)
print("Longest Increasing Odd Even " +
"Subsequence: ",longOddEvenIncSeq(arr, n))
# This code is contributed by "Sharad_Bhardwaj".
C#
// C# implementation to find the longest
// increasing odd even subsequence
using System;
class GFG {
// function to find the longest
// increasing odd even subsequence
public static int longOddEvenIncSeq(int[] arr,
int n)
{
// lioes[i] stores longest increasing odd
// even subsequence ending at arr[i]
int[] lioes = new int[n];
// to store the length of longest
// increasing odd even subsequence
int maxLen = 0;
// Initialize LIOES values for all indexes
for (int i = 0; i < n; i++)
lioes[i] = 1;
// Compute optimized LIOES values
// in bottom up manner
for (int i = 1; i < n; i++)
for (int j = 0; j < i; j++)
if (arr[i] > arr[j] &&
(arr[i] + arr[j]) % 2 != 0 &&
lioes[i] < lioes[j] + 1)
lioes[i] = lioes[j] + 1;
// Pick maximum of all LIOES values
for (int i = 0; i < n; i++)
if (maxLen < lioes[i])
maxLen = lioes[i];
// required maximum length
return maxLen;
}
// driver function
public static void Main()
{
int[] arr = new int[]{ 1, 12, 2, 22,
5, 30, 31, 14, 17, 11 };
int n = 10;
Console.Write("Longest Increasing Odd"
+ " Even Subsequence: "
+ longOddEvenIncSeq(arr, n));
}
}
// This code is contributed by Sam007
PHP
<?php
// PHP implementation to find the longest
// increasing odd even subsequence
// function to find the longest
// increasing odd even subsequence
function longOddEvenIncSeq(&$arr, $n)
{
// lioes[i] stores longest increasing
// odd even subsequence ending at arr[i]
$lioes= array_fill(0, $n, NULL);
// to store the length of longest
// increasing odd even subsequence
$maxLen = 0;
// Initialize LIOES values for
// all indexes
for ($i = 0; $i < $n; $i++)
$lioes[$i] = 1;
// Compute optimized LIOES values
// in bottom up manner
for ($i = 1; $i < $n; $i++)
for ($j = 0; $j < $i; $j++)
if ($arr[$i] > $arr[$j] &&
($arr[$i] + $arr[$j]) % 2 != 0 &&
$lioes[$i] < $lioes[$j] + 1)
$lioes[$i] = $lioes[$j] + 1;
// Pick maximum of all LIOES values
for ($i = 0; $i < $n; $i++)
if ($maxLen < $lioes[$i])
$maxLen = $lioes[$i];
// required maximum length
return $maxLen;
}
// Driver Code
$arr = array( 1, 12, 2, 22, 5, 30,
31, 14, 17, 11) ;
$n = sizeof($arr);
echo "Longest Increasing Odd Even ".
"Subsequence: " . longOddEvenIncSeq($arr, $n);
// This code is contributed
// by ChitraNayal
?>
JavaScript
<script>
// javascript program to find the longest
// increasing odd even subsequence
// function to find the longest
// increasing odd even subsequence
function longOddEvenIncSeq(arr, n)
{
// lioes[i] stores longest increasing odd
// even subsequence ending at arr[i]
let lioes = [];
// to store the length of longest
// increasing odd even subsequence
let maxLen = 0;
// Initialize LIOES values for all indexes
for (let i = 0; i < n; i++)
lioes[i] = 1;
// Compute optimized LIOES values
// in bottom up manner
for (let i = 1; i < n; i++)
for (let j = 0; j < i; j++)
if (arr[i] > arr[j] &&
(arr[i] + arr[j]) % 2 != 0
&& lioes[i] < lioes[j] + 1)
lioes[i] = lioes[j] + 1;
// Pick maximum of all LIOES values
for (let i = 0; i < n; i++)
if (maxLen < lioes[i])
maxLen = lioes[i];
// required maximum length
return maxLen;
}
// Driver code
let arr = [ 1, 12, 2, 22,
5, 30, 31, 14, 17, 11 ];
let n = 10;
document.write("Longest Increasing Odd"
+ " Even Subsequence: "
+ longOddEvenIncSeq(arr, n));
// This code is contributed by sanjoy_62.
</script>
OutputLongest Increasing Odd Even Subsequence: 5
Time Complexity: O(n2).
Auxiliary Space: O(n).
Similar Reads
Basics & Prerequisites
Data Structures
Array Data StructureIn this article, we introduce array, implementation in different popular languages, its basic operations and commonly seen problems / interview questions. An array stores items (in case of C/C++ and Java Primitive Arrays) or their references (in case of Python, JS, Java Non-Primitive) at contiguous
3 min read
String in Data StructureA string is a sequence of characters. The following facts make string an interesting data structure.Small set of elements. Unlike normal array, strings typically have smaller set of items. For example, lowercase English alphabet has only 26 characters. ASCII has only 256 characters.Strings are immut
2 min read
Hashing in Data StructureHashing is a technique used in data structures that efficiently stores and retrieves data in a way that allows for quick access. Hashing involves mapping data to a specific index in a hash table (an array of items) using a hash function. It enables fast retrieval of information based on its key. The
2 min read
Linked List Data StructureA linked list is a fundamental data structure in computer science. It mainly allows efficient insertion and deletion operations compared to arrays. Like arrays, it is also used to implement other data structures like stack, queue and deque. Hereâs the comparison of Linked List vs Arrays Linked List:
2 min read
Stack Data StructureA Stack is a linear data structure that follows a particular order in which the operations are performed. The order may be LIFO(Last In First Out) or FILO(First In Last Out). LIFO implies that the element that is inserted last, comes out first and FILO implies that the element that is inserted first
2 min read
Queue Data StructureA Queue Data Structure is a fundamental concept in computer science used for storing and managing data in a specific order. It follows the principle of "First in, First out" (FIFO), where the first element added to the queue is the first one to be removed. It is used as a buffer in computer systems
2 min read
Tree Data StructureTree Data Structure is a non-linear data structure in which a collection of elements known as nodes are connected to each other via edges such that there exists exactly one path between any two nodes. Types of TreeBinary Tree : Every node has at most two childrenTernary Tree : Every node has at most
4 min read
Graph Data StructureGraph Data Structure is a collection of nodes connected by edges. It's used to represent relationships between different entities. If you are looking for topic-wise list of problems on different topics like DFS, BFS, Topological Sort, Shortest Path, etc., please refer to Graph Algorithms. Basics of
3 min read
Trie Data StructureThe Trie data structure is a tree-like structure used for storing a dynamic set of strings. It allows for efficient retrieval and storage of keys, making it highly effective in handling large datasets. Trie supports operations such as insertion, search, deletion of keys, and prefix searches. In this
15+ min read
Algorithms
Searching AlgorithmsSearching algorithms are essential tools in computer science used to locate specific items within a collection of data. In this tutorial, we are mainly going to focus upon searching in an array. When we search an item in an array, there are two most common algorithms used based on the type of input
2 min read
Sorting AlgorithmsA Sorting Algorithm is used to rearrange a given array or list of elements in an order. For example, a given array [10, 20, 5, 2] becomes [2, 5, 10, 20] after sorting in increasing order and becomes [20, 10, 5, 2] after sorting in decreasing order. There exist different sorting algorithms for differ
3 min read
Introduction to RecursionThe process in which a function calls itself directly or indirectly is called recursion and the corresponding function is called a recursive function. A recursive algorithm takes one step toward solution and then recursively call itself to further move. The algorithm stops once we reach the solution
14 min read
Greedy AlgorithmsGreedy algorithms are a class of algorithms that make locally optimal choices at each step with the hope of finding a global optimum solution. At every step of the algorithm, we make a choice that looks the best at the moment. To make the choice, we sometimes sort the array so that we can always get
3 min read
Graph AlgorithmsGraph is a non-linear data structure like tree data structure. The limitation of tree is, it can only represent hierarchical data. For situations where nodes or vertices are randomly connected with each other other, we use Graph. Example situations where we use graph data structure are, a social net
3 min read
Dynamic Programming or DPDynamic Programming is an algorithmic technique with the following properties.It is mainly an optimization over plain recursion. Wherever we see a recursive solution that has repeated calls for the same inputs, we can optimize it using Dynamic Programming. The idea is to simply store the results of
3 min read
Bitwise AlgorithmsBitwise algorithms in Data Structures and Algorithms (DSA) involve manipulating individual bits of binary representations of numbers to perform operations efficiently. These algorithms utilize bitwise operators like AND, OR, XOR, NOT, Left Shift, and Right Shift.BasicsIntroduction to Bitwise Algorit
4 min read
Advanced
Segment TreeSegment Tree is a data structure that allows efficient querying and updating of intervals or segments of an array. It is particularly useful for problems involving range queries, such as finding the sum, minimum, maximum, or any other operation over a specific range of elements in an array. The tree
3 min read
Pattern SearchingPattern searching algorithms are essential tools in computer science and data processing. These algorithms are designed to efficiently find a particular pattern within a larger set of data. Patten SearchingImportant Pattern Searching Algorithms:Naive String Matching : A Simple Algorithm that works i
2 min read
GeometryGeometry is a branch of mathematics that studies the properties, measurements, and relationships of points, lines, angles, surfaces, and solids. From basic lines and angles to complex structures, it helps us understand the world around us.Geometry for Students and BeginnersThis section covers key br
2 min read
Interview Preparation
Practice Problem