博客
关于我
java 牛客:因子个数
阅读量:749 次
发布时间:2019-03-22

本文共 2746 字,大约阅读时间需要 9 分钟。

To solve this problem, we need to determine the number of factors for each given positive integer. The solution involves understanding the prime factorization of a number and using it to compute the total number of factors.

Approach

The approach can be broken down into the following steps:

  • Prime Factorization: Decompose the given number into its prime factors. For example, the number 36 can be decomposed into (2^2 \times 3^2).

  • Exponent Tracking: For each prime factor, determine its exponent in the factorization. For instance, in the case of 36, the exponent of 2 is 2, and the exponent of 3 is also 2.

  • Calculate Factors: The total number of factors of a number can be found by taking the product of each prime factor's exponent incremented by one. For example, using the prime factors of 36, the total number of factors is ((2+1) \times (2+1) = 9).

  • Efficient Looping: Use efficient looping techniques to iterate through potential factors, and stop early when further division isn't possible. This optimization prevents unnecessary computations.

  • Solution Code

    import java.util.Scanner;public class Main {    public static void main(String[] args) {        Scanner scanner = new Scanner(System.in);        while (scanner.hasNextInt()) {            int n = scanner.nextInt();            System.out.println(countFactors(n));        }    }    private static int countFactors(int n) {        if (n <= 1) {            return 1;        }        int factors = 1;        for (int i = 2; i * i <= n; ) {            if (n % i == 0) {                int exponent = 0;                while (n % i == 0) {                    exponent++;                    n /= i;                }                factors *= (exponent + 1);            } else {                i++;            }        }        if (n > 1) {            factors *= 2;        }        return factors;    }}

    Explanation

  • Reading Input: The code reads each integer from the standard input.
  • Handling Special Cases: If the input number is 1, it directly returns 1 as it is the only factor.
  • Prime Factorization Loop: The loop iterates from 2 up to the square root of the number. For each potential factor, it checks if it divides the number. If it does, it counts how many times it divides (the exponent) and then divides the number by this factor until it no longer can.
  • Updating Factors Count: The number of factors is updated by multiplying the product of each exponent incremented by one.
  • Remaining Prime Check: If after processing all factors up to the square root, the remaining number is greater than 1, it means it is a prime factor itself, contributing one more factor.
  • This approach efficiently computes the number of factors for each positive integer, ensuring correct and optimal results.

    转载地址:http://nvewk.baihongyu.com/

    你可能感兴趣的文章
    Objective-C实现Lempel-Ziv压缩算法(附完整源码)
    查看>>
    Objective-C实现Length conversion长度转换算法(附完整源码)
    查看>>
    Objective-C实现Levenshtein 距离算法(附完整源码)
    查看>>
    Objective-C实现levenshteinDistance字符串编辑距离算法(附完整源码)
    查看>>
    Objective-C实现lfu cache缓存算法(附完整源码)
    查看>>
    Objective-C实现LFU缓存算法(附完整源码)
    查看>>
    Objective-C实现linear algebra线性代数算法(附完整源码)
    查看>>
    Objective-C实现linear congruential generator线性同余发生器算法(附完整源码)
    查看>>
    Objective-C实现linear discriminant analysis线性判别分析算法(附完整源码)
    查看>>
    Objective-C实现linear regression线性回归算法(附完整源码)
    查看>>
    Objective-C实现linear search线性搜索算法(附完整源码)
    查看>>
    Objective-C实现Linear search线性搜索算法(附完整源码)
    查看>>
    Objective-C实现LinearSieve线性素数筛选算法 (附完整源码)
    查看>>
    Objective-C实现LinkedListNode链表节点类算法(附完整源码)
    查看>>
    Objective-C实现LinkedList链表算法(附完整源码)
    查看>>
    Objective-C实现local weighted learning局部加权学习算法(附完整源码)
    查看>>
    Objective-C实现logistic regression逻辑回归算法(附完整源码)
    查看>>
    Objective-C实现logistic sigmoid函数(附完整源码)
    查看>>
    Objective-C实现longest Common Substring最长公共子串算法(附完整源码)
    查看>>
    Objective-C实现longest increasing subsequence最长递增子序列算法(附完整源码)
    查看>>