Benchmark: Array.sort vs Math.min & Math.max

Script Preparation code:

var arr = new Array(100000);
for(var i = 0; i < arr.length; i++){
	arr[arr.length-1-i] = i;
}

Tests:

Array.sort
var a = arr.sort((a,b)=>a-b); var min = a[0]; var max = a[a.length-1];
Math.min, Math.max
var min = Math.min(...arr); var max = Math.max(...arr);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.sort
Math.min, Math.max

Fastest: N/A

Slowest: N/A

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

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Let's break down the benchmark and explain what is being tested.

**What is being tested?**

The provided JSON represents a JavaScript microbenchmark that compares the performance of two approaches:

1. `Array.sort()`: This method sorts the elements of an array in place, meaning it modifies the original array.
2. `Math.min()` and `Math.max()` with the spread operator (`...`): These methods return the minimum or maximum value from a set of numbers.

The benchmark measures which approach is faster for both sorting a large array (100,000 elements) and finding the minimum and maximum values in the same array.

**Options compared**

In this case, we have two options:

1. `Array.sort()`: This method uses a sorting algorithm called Timsort, which has an average time complexity of O(n log n).
2. `Math.min()` and `Math.max()` with the spread operator: These methods use a simple iteration over the array to find the minimum or maximum value.

**Pros and cons**

1. **Array.sort()**:
	* Pros:
		+ Efficient for large datasets (average time complexity of O(n log n)).
		+ In-place sorting, which can be beneficial for memory-constrained systems.
	* Cons:
		+ Modifies the original array, which may not be desirable in some cases.
		+ Can be slower than iterative approaches for small datasets.
2. **Math.min() and Math.max() with the spread operator**:
	* Pros:
		+ Efficient for finding a single minimum or maximum value.
		+ Does not modify the original array.
	* Cons:
		+ Slower for large datasets (average time complexity of O(n)).
		+ Requires more memory to create a copy of the array.

**Library and purpose**

There is no library explicitly mentioned in the benchmark definition, but `Array.sort()` uses a built-in JavaScript method. However, some implementations might use external libraries like [timsort](https://en.wikipedia.org/wiki/Timsort) or [quickselect](https://en.wikipedia.org/wiki/Quickselect_algorithm), which are optimized sorting algorithms.

**Special JS feature or syntax**

There is no special JavaScript feature or syntax mentioned in the benchmark definition. It only uses standard JavaScript features like functions, arrays, and operators.

**Other alternatives**

Other alternatives to `Array.sort()` include:

* `Array.prototype.slice()` followed by a sorting algorithm (e.g., [Merge Sort](https://en.wikipedia.org/wiki/Merge_sort) or [Heap Sort](https://en.wikipedia.org/wiki/Heapsort)).
* Using an external library like [Lodash](https://lodash.com/docs/4.17.15#sortBy) or [Underscore.js](http://underscorejs.org/# sortBy).

For finding the minimum and maximum values, other alternatives include:

* Using a single pass through the array with `Array.prototype.reduce()` or `Array.prototype.forEach()`.
* Using an external library like [Lodash](https://lodash.com/docs/4.17.15#min) or [Underscore.js](http://underscorejs.org/#min).

Related benchmarks:

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

Comparing performance of Array.sort vs Math min and max

Comparing performance of: Array.sort vs Math.min, Math.max

Created: 2 years ago by: Guest

Jump to the latest result

Array.sort

Math.min, Math.max

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):