C++ Query the probability of even or odd numbers in a given range
Find the probability of parity of a number within a given range, that is, whether it is an even number or an odd number. For each query, we need to print p and q, e.g. denote the probability by p / q.
Input : N = 5, arr[] = { 6, 5, 2, 1, 7 } query 1: 0 2 2 query 2: 1 2 5 query 3: 0 1 4 Output : 0 3 4 1 2
In this problem, we will maintain two arrays containing odd and even amounts respectively up to that index. This simplifies our problem, now we need to print their number and the number of elements present in the range.
Solution method
In this method, we maintain two arrays. They contain the number of even and odd numbers found up to the i-th index, and solve the problem like a prefix sum problem.
Example
#include <bits/stdc++.h> using namespace std; void solve(int arr[], int n, int Q,int query[][3]){ int even[n + 1]; // our array for counting the number of evens find till ith index int odd[n + 1]; // our array for counting the number of odds find till ith index even[0] = 0; odd[0] = 0; // as we are doing 1 based indexing so we just set 0th index of both arrays to 0 for (int i = 0; i < n; i++) { if (arr[i] & 1) { // if we found odd number we increment odd odd[i + 1] = odd[i] + 1; even[i + 1] = even[i]; } else { // else we increment even even[i + 1] = even[i] + 1; odd[i + 1] = odd[i]; } } for (int i = 0; i < Q; i++) { // traversing the queries int r = query[i][2]; // right range int l = query[i][1]; // left range int k = query[i][0]; // type of query int q = r - l + 1; // number of elements in the given range int p; if (k) // k is the type of query and we are finding the //number of elements with same parity in the given range p = odd[r] - odd[l - 1]; else p = even[r] - even[l - 1]; if (!p) // if p is zero we simply print 0 cout << "0\n"; else if (p == q) // if p == q we print 1 cout << "1\n"; else { int g = __gcd(p, q); cout << p / g << " " << q / g << "\n"; // as p and shouldn't have a common gcd so we divide the gcd } } } int main(){ int arr[] = { 6, 5, 2, 1, 7 }; // given array int n = sizeof(arr) / sizeof(int); // size of our array int Q = 2; // number of our queries int query[Q][3] = {{ 0, 2, 2 },{ 1, 2, 5 }}; // given queries solve(arr, n, Q, query); return 0; }
Output
0 3 4
Explanation of the above code
In the above method, we calculate the found to i-th by maintaining two arrays The number of even and odd indexes. Now we need to find the number of even or odd numbers in a given range and print that number and print the total number of occurrences of elements.
Conclusion
In this tutorial, we solved the problem about the probability of an even or odd number in a given range. We also learned the C program for this problem and our complete method to solve this problem (normal method). We can write the same program in other languages like C, Java, Python and others. Hope you found this tutorial helpful.
The above is the detailed content of C++ Query the probability of even or odd numbers in a given range. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



C language data structure: The data representation of the tree and graph is a hierarchical data structure consisting of nodes. Each node contains a data element and a pointer to its child nodes. The binary tree is a special type of tree. Each node has at most two child nodes. The data represents structTreeNode{intdata;structTreeNode*left;structTreeNode*right;}; Operation creates a tree traversal tree (predecision, in-order, and later order) search tree insertion node deletes node graph is a collection of data structures, where elements are vertices, and they can be connected together through edges with right or unrighted data representing neighbors.

This article explains the C Standard Template Library (STL), focusing on its core components: containers, iterators, algorithms, and functors. It details how these interact to enable generic programming, improving code efficiency and readability t

This article details efficient STL algorithm usage in C . It emphasizes data structure choice (vectors vs. lists), algorithm complexity analysis (e.g., std::sort vs. std::partial_sort), iterator usage, and parallel execution. Common pitfalls like

Article discusses effective use of rvalue references in C for move semantics, perfect forwarding, and resource management, highlighting best practices and performance improvements.(159 characters)

This article details effective exception handling in C , covering try, catch, and throw mechanics. It emphasizes best practices like RAII, avoiding unnecessary catch blocks, and logging exceptions for robust code. The article also addresses perf

C 20 ranges enhance data manipulation with expressiveness, composability, and efficiency. They simplify complex transformations and integrate into existing codebases for better performance and maintainability.

The article discusses using move semantics in C to enhance performance by avoiding unnecessary copying. It covers implementing move constructors and assignment operators, using std::move, and identifies key scenarios and pitfalls for effective appl

The article discusses dynamic dispatch in C , its performance costs, and optimization strategies. It highlights scenarios where dynamic dispatch impacts performance and compares it with static dispatch, emphasizing trade-offs between performance and
