var a = Math.random() * 1000;
var b = Math.random() * 1000;
function ternary_min(x, y) {
return x < y ? x : y;
}
function bitwise_min(x, y) {
return y ^ ((x ^ y) & -(x < y));
}
var min = Math.min(a, b);
var min = ternary_min(a, b);
var min = bitwise_min(a, b);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Math.min | |
Ternary | |
Bitwise min |
Test name | Executions per second |
---|---|
Math.min | 149503248.0 Ops/sec |
Ternary | 146269888.0 Ops/sec |
Bitwise min | 150362432.0 Ops/sec |
What is being tested?
The provided JSON represents a JavaScript microbenchmark that compares three approaches to find the minimum value between two numbers: using the built-in Math.min()
function, a ternary operator-based implementation, and a bitwise operation-based implementation.
Options compared:
Math.min()
function in JavaScript.Pros and cons of each approach:
Math.min()
or bitwise operations due to the complexity of the ternary operator logic.Math.min()
in terms of performance.Library usage:
None of the provided test cases use any external libraries. The benchmark only relies on built-in JavaScript functions and operators.
Special JS features or syntax:
The Bitwise min
implementation uses a bitwise operation to compare the values, specifically y ^ ((x ^ y) & -(x < y))
. This is an optimization technique that takes advantage of the properties of bitwise XOR and AND operations to determine which value is smaller without explicitly comparing them.
Other alternatives:
There may be other approaches to find the minimum value between two numbers in JavaScript, such as using a binary search algorithm or a more complex mathematical formula. However, Math.min()
, the ternary min, and bitwise min are some of the most common and well-known methods used in JavaScript.
In summary, the benchmark compares three popular methods for finding the minimum value between two numbers: built-in Math.min()
, a custom implementation using a ternary operator (ternary_min
), and another custom implementation using bitwise operations (bitwise_min
). The pros and cons of each approach highlight their respective strengths and weaknesses in terms of performance, complexity, and usability.