Benchmark: Max.max & Math.min vs sort

Tests:

sort
const larger = 10; const smaller = 5; [larger, smaller].sort((a,b) => b - a);
max/min
const larger = 10; const smaller = 5; [Math.max([smaller, larger]), Math.min([smaller, larger])];

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
sort
max/min

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36

Browser/OS: Chrome 135 on Windows

View result in a separate tab

Test name	Executions per second
sort	17409750.0 Ops/sec
max/min	3304274.2 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what is being tested, compared, and their pros and cons.

**Benchmark Definition**

The benchmark definition represents two different approaches to compare the performance of:

1. **Tuple sorting**: Using the `sort()` method on an array containing two elements.
2. **Math.max/min**: Using the `Math.max()` and `Math.min()` functions with an array containing two elements.

These two approaches are being compared to determine which one is faster.

**Options Compared**

The options being compared are:

1. Tuple sorting (`[a, b].sort((a, b) => b - a)`): This approach sorts the tuple in descending order and returns the larger element.
2. Math.max/min with array (`Math.max([smaller, larger]), Math.min([smaller, larger])`): This approach uses the `Math.max()` and `Math.min()` functions to find the maximum and minimum elements in the array.

**Pros and Cons**

1. **Tuple sorting**:
	* Pros: Simple, concise, and easy to understand.
	* Cons: May not be as efficient as using Math.max/min with array, especially for larger arrays.
2. **Math.max/min with array**:
	* Pros: Can handle larger arrays more efficiently, and is often faster than tuple sorting.
	* Cons: More complex, may require additional calculations.

In general, tuple sorting can be a good choice when working with small arrays or specific use cases where simplicity is prioritized. However, Math.max/min with array is often a better option for larger datasets or performance-critical code.

**Library and Purpose**

There are no libraries mentioned in the benchmark definition. The `sort()` method and `Math.max()`/`Math.min()` functions are built-in JavaScript methods, making this benchmark more focused on the language's core functionality rather than third-party library optimizations.

**Special JS Feature or Syntax**

There is a special syntax used in the `sort()` method: `(a, b) => b - a`. This is an arrow function that takes two arguments and returns their difference. This syntax is a concise way to define small functions within the sorting callback, which can improve readability and maintainability.

**Other Alternatives**

Other alternatives for tuple sorting or Math.max/min with array could include:

* Using `Array.prototype.reduce()` for Math.max/min:
```javascript
const max = arr.reduce((a, b) => a > b ? a : b);
const min = arr.reduce((a, b) => a < b ? a : b);
```
* Using `Array.prototype.every()` and `Array.prototype.some()` to find the maximum and minimum elements:
```javascript
const max = arr.every(x => x === Math.max(arr)) ? Math.max(arr) : null;
const min = arr.every(x => x === Math.min(arr)) ? Math.min(arr) : null;
```
These alternatives may offer different trade-offs in terms of performance, readability, and maintainability, depending on the specific use case.

Related benchmarks:

Max.max & Math.min vs sort (version: 0)

Checking to see if Math.max/min on a tuple is faster then tuple.sort

Comparing performance of: sort vs max/min

Created: 6 years ago by: Guest

Jump to the latest result

sort

max/min

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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