Benchmark: Math.max vs. custom algormithm

Script Preparation code:

var max = () => {
    let maximum;
    let i = arguments.length;
    while (i--) {
        arguments[i] > maximum || (maximum = arguments[i])
    }
    return maximum;
}

Tests:

Math.max
return Math.max(2, 8, 9 , 19)
Custon
return max(2, 8, 9 , 19)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math.max
Custon

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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I'll explain what's being tested in the provided JSON, and provide insights into the options compared, their pros and cons, and other considerations.

**Benchmark Definition**

The benchmark is testing two approaches to find the maximum value among four numbers: `Math.max` (JavaScript's built-in function) and a custom algorithm. The script preparation code defines the custom algorithm as a function `max` that takes multiple arguments, sorts them in ascending order, and returns the largest one.

**Options Compared**

The benchmark is comparing two options:

1. **`Math.max`**: This is JavaScript's built-in function for finding the maximum value among an array of numbers.
2. **Custom Algorithm (`max` function)**: The custom algorithm defined in the script preparation code uses a simple iterative approach to find the maximum value.

**Pros and Cons**

* **`Math.max`**:
	+ Pros: Simple, efficient, and widely supported.
	+ Cons: May not be suitable for large datasets or performance-critical applications due to its overhead.
* **Custom Algorithm (`max` function)**:
	+ Pros: Can be optimized for specific use cases, potentially providing better performance than `Math.max`.
	+ Cons: More complex, harder to maintain, and may require additional overhead.

**Other Considerations**

When choosing between these two approaches, consider the following factors:

* **Performance**: If you need optimal performance, the custom algorithm might provide a slight advantage due to its optimized implementation.
* **Code Readability**: `Math.max` is generally considered more readable and maintainable than the custom algorithm.
* **Platform Support**: Make sure both options are supported on your target platforms.

**Library**

The benchmark uses no external libraries. However, it's worth noting that the custom algorithm relies on basic JavaScript features like function definitions, variable declarations, and conditional statements.

**Special JS Features or Syntax**

There are no special JavaScript features or syntax used in this benchmark. The focus is on comparing two fundamental approaches to finding the maximum value among multiple numbers.

**Alternatives**

If you're looking for alternative ways to find the maximum value, consider:

* Using a different built-in function like `Math.min` or `Array.prototype.reduce()`.
* Implementing a sorting algorithm like quicksort or mergesort.
* Using a library like Lodash (which provides a `maxBy` function) or Ramda (which provides a `max` function).
* Optimizing your implementation for specific use cases, such as parallel processing or GPU acceleration.

Related benchmarks:

Math.max vs. custom algormithm (version: 0)

N/A

Comparing performance of: Math.max vs Custon

Created: 4 years ago by: Guest

Jump to the latest result

Math.max

Custon

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):