Benchmark: Compare ways to find arithmetic maximum, extended

Script Preparation code:

var longArray = [];
for (i = 0; i < 1000; i++) {
    longArray.push(Math.round(Math.random() * 1000));
}

Tests:

Math.max
var maximum = Math.max(...longArray);
Apply
var maximum = Math.max.apply(null, longArray);
Reduce
var maximum = longArray.reduce((a, v) => Math.max(a,v), 0);
Reduce no call
var maximum = longArray.reduce((a, v) => a >= v ? a : v, 0);
Sort
var sorted = [...longArray].sort((a,b) => a - b); var maximum = sorted.pop();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math.max
Apply
Reduce
Reduce no call
Sort

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 dive into the world of JavaScript microbenchmarks and explore what's being tested on this particular benchmark.

**Benchmark Overview**

The benchmark compares four different approaches to find the arithmetic maximum in an array of numbers:

1. `Math.max()`
2. Using `apply()` method
3. `reduce()` method with a custom callback function
4. `reduce()` method without calling it explicitly (using a trick)

**What are we testing?**

We're testing the execution speed and performance of each approach on different browsers and devices.

**Options Compared**

Here's a brief overview of each option:

1. **`Math.max()`**: This is the built-in JavaScript function that returns the largest value among an array of numbers.
2. **`Apply()` method**: In this approach, we use the `apply()` method to call `Math.max()` on the `longArray` with `null` as its context and arguments. This allows us to pass a reference to the array instead of passing individual elements.
3. **`Reduce()` method with custom callback**: We define a custom callback function that takes two arguments (`a` and `v`) and returns the maximum value between them. We then use the `reduce()` method to iterate through the array and accumulate the maximum value.
4. **`Reduce()` method without explicit call**: In this approach, we use the `reduce()` method but don't explicitly call it with a callback function. Instead, we rely on JavaScript's shorthand syntax to perform the reduction.

**Pros and Cons**

Here are some pros and cons of each approach:

1. **`Math.max()`**:
	* Pros: Built-in function, fast, and widely supported.
	* Cons: Only works for arrays of numbers; not suitable for other data types.
2. **`Apply()` method**:
	* Pros: Flexible, can handle arrays of different lengths, and allows for custom context.
	* Cons: May have performance overhead due to the `apply()` method call.
3. **`Reduce()` method with custom callback**: 
	* Pros: Allows for fine-grained control over the reduction process; can be used with other data types.
	* Cons: May require more code and understanding of the `reduce()` method.
4. **`Reduce()` method without explicit call**:
	* Pros: Simplifies the code, as it eliminates the need for an explicit callback function.
	* Cons: May lead to performance issues due to unnecessary iterations or operations.

**Library Usage**

There is no explicit library usage in this benchmark.

**Special JS Features/Syntax**

The `reduce()` method and its shorthand syntax (e.g., `a >= v ? a : v`) are examples of JavaScript features that allow for concise code. The `apply()` method also relies on advanced JavaScript concepts, such as function context manipulation.

**Alternatives**

Other alternatives to compare when searching for the arithmetic maximum include:

1. Using `sort()` and indexing the last element (e.g., `sorted.pop()`).
2. Utilizing third-party libraries or frameworks that provide optimized implementations of these algorithms.
3. Implementing custom sorting or reduction functions using other programming paradigms, like recursion or iteration.

In conclusion, this benchmark provides a comprehensive comparison of different approaches to find the arithmetic maximum in an array of numbers, highlighting the strengths and weaknesses of each method.

Related benchmarks:

Compare ways to find arithmetic maximum, extended (version: 0)

Comparing performance of: Math.max vs Apply vs Reduce vs Reduce no call vs Sort

Created: 3 years ago by: Guest

Jump to the latest result

Math.max

Apply

Reduce

Reduce no call

Sort

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):