* <p>Note that this method is closely related to the logarithm base 2. * For all positive {@code int} values x: * <ul> * <li>floor(log<sub>2</sub>(x)) = {@code 31 - numberOfLeadingZeros(x)} * <li>ceil(log<sub>2</sub>(x)) = {@code 32 - numberOfLeadingZeros(x - ...
* <p>Note that this method is closely related to the logarithm base 2. * For all positive {@code int} values x: * <ul> * <li>floor(log<sub>2</sub>(x)) = {@code 31 - numberOfLeadingZeros(x)} * <li>ceil(log<sub>2</sub>(x)) = {@code 32 - numberOfLeadingZeros(x - ...
public class Logarithm { static public double log(double value, double base) { return Math.log(value) / Math.log(base); } } 计算100的以10为底的对数就变为非常简单了: double log = Logarithm.log(100, 10); // log is 2.0 512的以2为底的对数是: double log = Logarithm.log(512, 2); ...
log方法有两个重载的版本:log(double a)用于计算以e为底的自然对数,log(double a, double base)用于计算以指定base为底的对数。 以下是使用Math类进行对数运算的示例代码: ```java double x = 10; double naturalLog = Math.log(x); //计算以e为底的自然对数 System.out.println("Natural logarithm of ...
publicclassLogarithmExample{publicstaticvoidmain(String[]args){doublebase=2;// 底数doubleexponent=3;// 指数(对数函数结果)// 计算反对数doubleresult=Math.pow(base,exponent);// 输出结果System.out.println("反对数为: "+result);// 计算对数(验证)doublelogarithmResult=Math.log(result)/Math.log(base...
Note that this method is closely related to the logarithm base 2. For all positive int values x: floor(log2(x)) = 31 - numberOfLeadingZeros(x) ceil(log2(x)) = 32 - numberOfLeadingZeros(x - 1) Parameters: i - the value whose number of leading zeros is to be computed Return...
* * <p>Note that this method is closely related to the logarithm base 2. * For all positive {@code int} values x: * <ul> * <li>floor(log<sub>2</sub>(x)) = {@code 31 - numberOfLeadingZeros(x)} * <li>ceil(log<sub>2</sub>(x)) = {@code 32 - numberOfLeadingZeros(x...
() to return a zero-length string. The two digit cost parameter is the base-2 logarithm of the iteration count for the underlying Blowfish-based hashing algorithm and must be in range 04-31, values outside this range will cause crypt() to fail. "$2x$" hashes are potentially weak; "...
Note that this method is closely related to the logarithm base 2. For all positive long values x: floor(log2(x)) = 63 - numberOfLeadingZeros(x) ceil(log2(x)) = 64 - numberOfLeadingZeros(x - 1) Parameters: i - the value whose number of leading zeros is to be computed Retur...
13. True or False: The base 2 logarithm of 100 is 2. 14. Big O notation tells a. how the speed of an algorithm relates to the number of items. b. the running time of an algorithm for a given size data structure. c. the running time of an algorithm for a given number of items...