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

Script Preparation code:

var v1 = 12345678;
var v2 = 23456789;

var arr = [v2, v1]

Tests:

Array.sort
var a = arr.sort(); var min = a[0]; var max = a[1];
Math min and max
var min = Math.min(v2, v1); var max = Math.max(v2, v1);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.sort
Math min and max

Fastest: N/A

Slowest: N/A

Latest run results:

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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 definition and test cases.

**Benchmark Definition**

The website is testing two different approaches to find the minimum and maximum values in an array: `Array.sort()` followed by accessing the first and last elements, and using the built-in `Math.min()` and `Math.max()` functions.

**Script Preparation Code**

The script preparation code creates an array `arr` with two elements, `v1` and `v2`, which are assigned values. The intention is to create a small, predictable dataset for testing.

**Html Preparation Code**

There is no html preparation code provided, which suggests that the benchmark only concerns the JavaScript execution and not other aspects like rendering or layout.

**Individual Test Cases**

The test cases are designed to compare the performance of two different approaches:

1. **Array.sort()**: This approach sorts the array in ascending order, then accesses the first element (`min`) and last element (`max`). The `sort()` method is a stable sort, meaning that equal elements will keep their original order.
2. **Math min and max**: This approach directly uses the built-in `Math.min()` and `Math.max()` functions to find the minimum and maximum values in the array.

**Pros and Cons of Each Approach**

1. **Array.sort()**:
	* Pros: Can be more efficient if the array needs to be sorted anyway, as it only requires a single pass through the data.
	* Cons: Has a higher overhead due to the sorting algorithm, which can result in slower performance for small arrays or when finding exact min/max values.
2. **Math min and max**:
	* Pros: Directly optimized for finding min/max values, with minimal overhead and predictable execution time.
	* Cons: May not be as efficient if the array needs to be sorted anyway.

**Other Considerations**

1. **Array.sort()**: Depending on the specific use case, it may be more efficient to sort the array before processing it, especially for larger datasets or when needing to perform other operations on the sorted data.
2. **Stability**: The `sort()` method is stable, meaning that equal elements will keep their original order. This can be beneficial in certain scenarios where preserving the original order of equal elements is important.

**Library and Special JS Features**

There are no libraries used in this benchmark, but it's worth noting that the `Math.min()` and `Math.max()` functions are part of the JavaScript standard library.

**Other Alternatives**

If you need to find min/max values in an array without using `Array.sort()`, other approaches could include:

* Using a custom sorting algorithm (e.g., binary search or quicksort) if the data is sorted or has specific properties.
* Utilizing libraries like NumJS or MathJS, which provide optimized implementations of mathematical functions, including min/max operations.

Keep in mind that these alternatives may have their own trade-offs and considerations depending on the specific use case.

Related benchmarks:

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

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

Created: 9 years ago by: Guest

Jump to the latest result

Array.sort

Math min and 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):