Benchmark: FastSqrt - MeasureThat.net

Script Preparation code:

function fastSqrt(num) {
  let err = 1;
  let guess = num / 2;

  while (err > 0.9) {
    let next = (guess + num / guess) / 2;
    err = Math.abs(next - guess);
    guess = next;
  }

  return Math.floor(guess);
}
var arr = Array.from({ length: 100 }).map(() => Math.floor(Math.random() * 50000) + 0)

Tests:

Math.sqrt
arr.forEach((item) => Math.sqrt(item));
FastSqrt
arr.forEach((item) => fastSqrt(item));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math.sqrt
FastSqrt

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down the provided JSON and explain what's being tested.

**Benchmark Definition**

The benchmark is defined by two scripts: `fastSqrt` and `arr.forEach((item) => Math.sqrt(item))`. The first script, `fastSqrt`, implements a custom square root calculation algorithm, while the second script uses the built-in `Math.sqrt` function. Both scripts are applied to an array of random integers generated using `Array.from` and `Math.random`.

**Options Compared**

Two options are being compared:

1. **Built-in `Math.sqrt`**: This is the default JavaScript method for calculating square roots. It's likely implemented in a way that's optimized for performance.
2. **Custom `FastSqrt` implementation**: This script uses an iterative algorithm to calculate square roots, which might be faster or more efficient than the built-in method.

**Pros and Cons**

**Built-in `Math.sqrt`**:

Pros:

* Widely supported and widely tested, ensuring a consistent experience across different browsers and platforms.
* Likely optimized for performance by the JavaScript engine.
* Easy to implement and understand.

Cons:

* Might be slower or less efficient than the custom implementation due to overhead from the JavaScript engine.

**Custom `FastSqrt` implementation**:

Pros:

* Could potentially be faster or more efficient than the built-in method, especially for large numbers.
* Allows for fine-tuning and optimization of the algorithm.

Cons:

* Requires more code and might be less intuitive to understand.
* Might not be as widely supported or tested as the built-in method.

**Library: `Array.prototype.forEach`**

The `Array.prototype.forEach` function is a built-in JavaScript method that iterates over an array and executes a provided callback function for each element. In this benchmark, it's used in both scripts to apply the square root calculation.

**Special JS Feature or Syntax**

None mentioned.

**Other Alternatives**

If you want to compare other implementations of the `fastSqrt` algorithm, you could add additional test cases with different variations, such as:

* Using a different mathematical formula (e.g., Babylonian method)
* Implementing it using bitwise operations
* Using a different data structure (e.g., a queue or stack)

If you want to compare other methods for calculating square roots, you could use alternative JavaScript functions like `Math.pow` or `Math.hypot`.

Keep in mind that the choice of implementation and testing strategy ultimately depends on your specific goals and requirements.

Related benchmarks:

FastSqrt (version: 0)

Comparing performance of: Math.sqrt vs FastSqrt

Created: 2 years ago by: Guest

Jump to the latest result

Math.sqrt

FastSqrt

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):