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Math.max vs Array.reduce
(version: 0)
Test whether Math.max or Array.reduce is faster for large number arrays
Comparing performance of:
Math.min vs Array.reduce
Created:
4 years ago
by:
Guest
Go to the latest result
Script Preparation code:
var massiveArray = new Array(100000).fill().map(e => Math.random())
Tests:
Math.min
Math.max(...massiveArray)
Array.reduce
massiveArray.reduce((a, b) => a > b ? a : b)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Math.min
Array.reduce
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:141.0) Gecko/20100101 Firefox/141.0
Browser/OS:
Firefox 141 on Mac OS X 10.15
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=614919" width="100%" height="500px"></iframe>
Array.reduce
3K/s
Math.min
2K/s
View exact numbers
Test name
Executions per second
✓
Array.reduce
3,233 Ops/sec
Math.min
1,759 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and its test cases. **Benchmark Overview** The benchmark compares the performance of two JavaScript functions: `Math.max` and `Array.prototype.reduce`. The goal is to determine which function is faster for large arrays. **Options Compared** The benchmark tests two approaches: 1. **Math.max**: This function takes multiple arguments and returns the largest value. It's a built-in JavaScript function that uses the ECMAScript standard. 2. **Array.prototype.reduce**: This method applies a reduction function to each element of an array, accumulating a result. In this case, the reduction function compares two elements using the greater-than operator (`a > b`) and returns the larger value. **Pros and Cons** * **Math.max**: + Pros: Simple, straightforward implementation; built-in function. + Cons: May be slower for large arrays due to the need to call multiple times with different values; uses more memory as it creates an array of intermediate results. * **Array.prototype.reduce**: + Pros: Flexible and powerful reduction function; can be used for various operations beyond just finding the maximum value. + Cons: May be slower than `Math.max` due to the overhead of creating a new accumulator variable and iterating through the array. **Other Considerations** In addition to the two main functions, there is another option mentioned in the benchmark setup code: * **new Array(100000).fill().map(e => Math.random())**: This line creates an extremely large array with random values. The purpose of this step is likely to ensure that the benchmark runs with a sufficient amount of data for accurate comparisons. **Library and Special JS Features** There are no libraries or special JavaScript features mentioned in the provided code snippet. However, the use of `Array.prototype.reduce` does introduce some nuances related to array methods: * The `reduce()` method is a part of the ECMAScript standard. * It's implemented as an array method on the `Array` prototype. * It uses a closure to capture variables from its surrounding scope. **Alternative Approaches** Other ways to find the maximum value in a large array might include: 1. **Using a different reduction function**: Instead of comparing values directly, you could use a different comparison operation (e.g., finding the minimum value). 2. **Parallelizing the computation**: If you have access to multiple CPU cores or threads, you could divide the array into smaller chunks and process them concurrently using techniques like parallel loops or worker threads. 3. **Using a dedicated library or framework**: Depending on your specific requirements, there might be libraries (e.g., `lodash`) or frameworks that provide optimized functions for finding maximum values in arrays. Keep in mind that these alternative approaches may introduce additional overhead, complexity, or dependencies not accounted for in the benchmark setup code provided.
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