我有几个问题与下面的算法来判断一个数是素的,我也知道,随着筛埃拉托色尼的可以更快的响应。
I have several questions with the following algorithms to tell if a number is prime, I also know that with the sieve of Eratosthenes can be faster response.
什么是这些算法为O(n),O(开方(N)),O(N日志(N))?复杂
What is the complexity of these algorithms O (n), O (sqrt (n)), O (n log (n))? public class Main { public static void main(String[] args) { // Case 1 comparing Algorithms long startTime = System.currentTimeMillis(); // Start Time for (int i = 2; i <= 100000; ++i) { if (isPrime1(i)) continue; } long stopTime = System.currentTimeMillis(); // End Time System.out.printf("Duracion: %4d ms. while (i*i <= N) Algorithm\n", stopTime - startTime); // Case 2 comparing Algorithms startTime = System.currentTimeMillis(); for (int i = 2; i <= 100000; ++i) { if (isPrime2(i)) continue; } stopTime = System.currentTimeMillis(); System.out.printf("Duracion: %4d ms. while (i <= sqrt(N)) Algorithm\n", stopTime - startTime); // Case 3 comparing Algorithms startTime = System.currentTimeMillis(); for (int i = 2; i <= 100000; ++i) { if (isPrime3(i)) continue; } stopTime = System.currentTimeMillis(); System.out.printf( "Duracion: %4d ms. s = sqrt(N) while (i <= s) Algorithm\n", stopTime - startTime); // Case 4 comparing Algorithms startTime = System.currentTimeMillis(); for (int i = 2; i <= 100000; ++i) { if (isPrime4(i)) continue; } stopTime = System.currentTimeMillis(); System.out.printf( "Duracion: %4d ms. s = Math.sqrt(N) while (i <= s) Algorithm\n", stopTime - startTime); } public static boolean isPrime1(int n) { for (long i = 2; i * i <= n; i++) { if (n % i == 0) return false; } return true; } public static boolean isPrime2(int n) { for (long i = 2; i <= sqrt(n); i++) { if (n % i == 0) return false; } return true; } public static boolean isPrime3(int n) { double s = sqrt(n); for (long i = 2; i <= s; i++) { if (n % i == 0) return false; } return true; } public static boolean isPrime4(int n) { // Proving wich if faster between my sqrt method or Java's sqrt double s = Math.sqrt(n); for (long i = 2; i <= s; i++) { if (n % i == 0) return false; } return true; } public static double abs(double n) { return n < 0 ? -n : n; } public static double sqrt(double n) { // Newton's method, from book Algorithms 4th edition by Robert Sedgwick // and Kevin Wayne if (n < 0) return Double.NaN; double err = 1e-15; double p = n; while (abs(p - n / p) > err * n) p = (p + n / p) / 2.0; return p; } }
这是我的code也链接: ideone/Fapj1P
This is the link of my code also: ideone/Fapj1P
推荐答案1。为什么更快地计算I * I,开方(N)次。超过的sqrt(N)只是一个时间? 看看下面的复杂性。计算平方根的额外费用。
1. Why is faster to compute i*i, sqrt (n) times. than sqrt (n) just one time ? Look at the complexities below. The additional cost of computing square root.
2。为什么的Math.sqrt()比我的sqrt()方法快? 的Math.sqrt()代表调用StrictMath.sqrt这是在硬件或本地code完成。
2. Why Math.sqrt() is faster than my sqrt() method ? Math.sqrt() delegates call to StrictMath.sqrt which is done in hardware or native code.
3。什么是这些算法的复杂性? 您所描述的每个功能的复杂性
3. What is the complexity of these algorithms? The complexity of each function you described
I = 2 ..我* I n种 O(开方(N))
I = 2 ..开方(N) O(开方(N)*的log(n))
I = 2 ..开方(牛顿法) O(开方(N))+ O(日志(N))
I = 2 ..开方(通过的Math.sqrt) O(开方(N))
牛顿法的从复杂性 en.citizendium/wiki/Newton%27s_method#Computational_complexity
Newton's method's complexity from en.citizendium/wiki/Newton%27s_method#Computational_complexity
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为什么要乘以比服用平方根快很多倍?
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