java中怎么實(shí)現(xiàn)求余

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java 求余操作初階

java中也有余的規(guī)范【jls-15.17.3】，廢話不說，直接上代碼，從中我們可以學(xué)到很多技巧：

例1：

int a = 5%3; // 2
int b = 5/3; // 1
System.out.println("5%3 produces " + a +" (note that 5/3 produces " + b + ")");

相信大多數(shù)人都知道結(jié)果了：

5%3 produces 2 (note that 5/3 produces 1)

java 求余操作中階

我們知道，正數(shù)不僅僅有正整數(shù)還有負(fù)整數(shù)，那么負(fù)數(shù)的情況下，會(huì)出現(xiàn)什么變化呢？

例2：

int c = 5%(-3); // 2
    int d = 5/(-3); // -1
    System.out.println("5%(-3) produces " + c +" (note that 5/(-3) produces " + d + ")");
    int e = (-5)%3; // -2
    int f = (-5)/3; // -1
    System.out.println("(-5)%3 produces " + e +" (note that (-5)/3 produces " + f + ")");
    int g = (-5)%(-3); // -2
    int h = (-5)/(-3); // 1
    System.out.println("(-5)%(-3) produces " + g +" (note that (-5)/(-3) produces " + h + ")");

能完全正確得到結(jié)果的就很少了吧？

　　　　　　　　　　5%(-3) produces 2 (note that 5/(-3) produces -1)
　　　　　　　　　　(-5)%3 produces -2 (note that (-5)/3 produces -1)
　　　　　　　　　　(-5)%(-3) produces -2 (note that (-5)/(-3) produces 1)

為什么求余的結(jié)果是這樣的呢？jls-15.17.3規(guī)范告訴我們：

The binary % operator is said to yield the remainder of its operands from an implied division; the left-hand operand is the dividend and the right-hand operand is the divisor.
It follows from this rule that the result of the remainder operation can be negative only if the dividend is negative, and can be positive only if the dividend is positive. Moreover, the magnitude of the result is always less than the magnitude of the divisor.

注意：求余的正負(fù)數(shù)給dividend(左邊操作數(shù))的符號(hào)位一致！

java 求余操作高階

java求余操作不但支持整數(shù)還支持浮點(diǎn)數(shù)

class Test2 {
 public static void main(String[] args) {
 double a = 5.0%3.0; // 2.0
 System.out.println("5.0%3.0 produces " + a);
 double b = 5.0%(-3.0); // 2.0
 System.out.println("5.0%(-3.0) produces " + b);
 double c = (-5.0)%3.0; // -2.0
 System.out.println("(-5.0)%3.0 produces " + c);
 double d = (-5.0)%(-3.0); // -2.0
 System.out.println("(-5.0)%(-3.0) produces " + d);
 }
}

相信很多人可以根據(jù)整型的規(guī)則，得出正確的結(jié)果

5.0%3.0 produces 2.0
5.0%(-3.0) produces 2.0
(-5.0)%3.0 produces -2.0
(-5.0)%(-3.0) produces -2.0

補(bǔ)充一下，浮點(diǎn)型的求余有一些特殊的規(guī)則：

The result of a floating-point remainder operation as computed by the % operator is not the same as that produced by the remainder operation defined by IEEE 754. The IEEE 754 remainder operation computes the remainder from a rounding division, not a truncating division, and so its behavior is not analogous to that of the usual integer remainder operator. Instead, the Java programming language defines % on floating-point operations to behave in a manner analogous to that of the integer remainder operator; this may be compared with the C library function fmod. The IEEE 754 remainder operation may be computed by the library routine Math.IEEEremainder.

The result of a floating-point remainder operation is determined by the rules of IEEE 754 arithmetic:

If either operand is NaN, the result is NaN.
If the result is not NaN, the sign of the result equals the sign of the dividend.
If the dividend is an infinity, or the divisor is a zero, or both, the result is NaN.
If the dividend is finite and the divisor is an infinity, the result equals the dividend.
If the dividend is a zero and the divisor is finite, the result equals the dividend.
In the remaining cases, where neither an infinity, nor a zero, nor NaN is involved, the floating-point remainder r from the division of a dividend n by a divisor d is defined by the mathematical relation r = n - (d ? q) where q is an integer that is negative only if n/d is negative and positive only if n/d is positive, and whose magnitude is as large as possible without exceeding the magnitude of the true mathematical quotient of n and d.
Evaluation of a floating-point remainder operator % never throws a run-time exception, even if the right-hand operand is zero. Overflow, underflow, or loss of precision cannot occur.

java 求余操作骨灰級(jí)

學(xué)到這里，或許有人沾沾自喜，我都掌握了求余的所有規(guī)則，看來需要給你潑潑冷水：

public static void main(String[] args) {
    final int MODULUS = 3;
    int[] histogram = new int[MODULUS];
    // Iterate over all ints (Idiom from Puzzle 26)
    int i = Integer.MIN_VALUE;
    do {
    histogram[Math.abs(i) % MODULUS]++;
    } while (i++ != Integer.MAX_VALUE);
    for (int j = 0; j < MODULUS; j++)
    System.out.println(histogram[j] + " ");
  }

這個(gè)程序會(huì)打印什么？有人經(jīng)過繁瑣復(fù)雜的算出一個(gè)結(jié)果：

1431655765 1431655766 1431655765

但其實(shí)，上述程序運(yùn)行報(bào)錯(cuò)：

Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: -2
at com.java.puzzlers.ModTest.main(ModTest.java:11)

為什么數(shù)組會(huì)出現(xiàn)索引 -2？奇怪吧？要回答這個(gè)問題，我們必須要去看看Math.abs 的文檔

/**
 * Returns the absolute value of an {@code int} value.
 * If the argument is not negative, the argument is returned.
 * If the argument is negative, the negation of the argument is returned.
 *
 * <p>Note that if the argument is equal to the value of
 * {@link Integer#MIN_VALUE}, the most negative representable
 * {@code int} value, the result is that same value, which is
 * negative.
 *
 * @param a the argument whose absolute value is to be determined
 * @return the absolute value of the argument.
 */
 public static int abs(int a) {
 return (a < 0) ? -a : a;
 }

上述內(nèi)容就是java中怎么實(shí)現(xiàn)求余，你們學(xué)到知識(shí)或技能了嗎？如果還想學(xué)到更多技能或者豐富自己的知識(shí)儲(chǔ)備，歡迎關(guān)注億速云行業(yè)資訊頻道。