With this method, we receive a double. For programs that call Math.sqrt many times, a lookup table cache can be used. This approach (memoization) helps many programs.
Square root. Consider this program. It does not import java.lang.Math at its top. Instead we directly access Math.sqrt using its composite name. It shows the output of sqrt.
Result The square root of 4 is 2. We see 2.0 because Math.sqrt returns a double.
Tip For cases when we do not need fractional values, we can cast the result of Math.sqrt to an int.
public class Program {
public static void main(String[] args) {
// ... Test the sqrt method.
double value = java.lang.Math.sqrt(4);
double value2 = java.lang.Math.sqrt(9);
System.out.println(value);
System.out.println(value2);
}
}2.0
3.0
Benchmark, lookup table. Memoization is a powerful programming technique. In it, we avoid computing a data we previously computed. We store values in a structure like an array.
Version 1 In this version of the code we call Math.sqrt repeatedly—no caching is used here.
Version 2 We use a double array cache of 100 Math.sqrt values. We access those values many times.
Result Accessing array elements is more than ten times faster than calling Math.sqrt each time.
public class Program {
public static void main(String[] args) {
// A lookup table for square roots.
double[] cache = new double[100];
long t1 = System.currentTimeMillis();
// Version 1: use Math.sqrt each time.
for (int i = 0; i < 1000000; i++) {
for (int x = 1; x < 100; x++) {
double result = Math.sqrt(x);
if (result == 0) {
return;
}
}
}
long t2 = System.currentTimeMillis();
// Version 2: use lookup table after first time.
for (int i = 0; i < 1000000; i++) {
for (int x = 1; x < 100; x++) {
double result;
if (cache[x] != 0) {
result = cache[x];
} else {
result = Math.sqrt(x);
cache[x] = result;
}
if (result == 0) {
return;
}
}
}
long t3 = System.currentTimeMillis();
// ... Benchmark times.
System.out.println(t2 - t1);
System.out.println(t3 - t2);
}
}594 ms Math.sqrt
47 ms Cache lookup, Math.sqrt if not found
Some notes, memoization. The exact usage of Math.sqrt is good to know. But optimization techniques like memoization are more general purpose. They can help us develop many programs.
Square root review. As a developer I rarely need to call Math.sqrt. But this makes the Math class even more important. A custom implementation would be less reliable and useful.
Dot Net Perls is a collection of tested code examples. Pages are continually updated to stay current, with code correctness a top priority.
Sam Allen is passionate about computer languages. In the past, his work has been recommended by Apple and Microsoft and he has studied computers at a selective university in the United States.