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Math min
(version: 0)
Comparing performance of:
Math min vs Sort vs for loop
Created:
2 years ago
by:
Guest
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Tests:
Math min
const a = []; for(let i = 0; i < 100000; i++) { a.push(1000000 - i); } const min = Math.min(...a); console.log('min', min);
Sort
const a = []; for(let i = 0; i < 100000; i++) { a.push(1000000 - i); } const min = a.sort((a, b) => a - b)[0]; console.log('min', min);
for loop
const a = []; for(let i = 0; i < 100000; i++) { a.push(1000000 - i); } let min = -1; for(let i = 0; i < a.length; i++) { if(a[i] < min) { min = a[i]; } } console.log('min', min);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
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Test case name
Result
Math min
Sort
for loop
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**What is being tested?** The provided benchmark measures the performance of three different approaches to find the minimum value in an array of numbers: 1. **Math.min()**: Using the built-in `Math.min()` function with the spread operator (`...`) to pass an array of values as arguments. 2. **Sorting and indexing**: Sorting the array and then accessing the first element (index 0) using bracket notation (`[0]`). 3. **Manual loop**: Iterating through the array manually using a `for` loop to find the minimum value. **Options comparison** The three approaches have different pros and cons: * **Math.min()**: + Pros: Fast, efficient, and easy to use. + Cons: May not be suitable for large arrays or custom data types, as it relies on the built-in implementation. * **Sorting and indexing**: + Pros: Can handle any array of values, including strings or objects, and provides a more general solution. + Cons: Has a higher overhead due to sorting, which can impact performance for large datasets. * **Manual loop**: + Pros: Provides fine-grained control over the iteration process and can be optimized for specific use cases. + Cons: Requires more code and is generally slower than the other two approaches. **Library usage** The `sort()` method uses the built-in JavaScript array method, which implements a sorting algorithm. The purpose of this library is to provide a standard way to sort arrays of values in ascending order. **Special JS feature/syntax** This benchmark does not use any special JavaScript features or syntax beyond what is considered standard at this point (ECMAScript 2020). However, it's worth noting that some browsers may implement additional features or optimizations that could affect the results. **Other alternatives** If you were to implement these benchmarks from scratch, here are a few alternative approaches: * Using `Array.prototype.reduce()` instead of sorting and indexing. * Implementing a custom sorting algorithm, such as quicksort or mergesort. * Using a library like `lodash` for array manipulation and optimization. * Using parallel processing or concurrent execution for performance-critical code paths. **Benchmark preparation** The provided benchmark definition json includes: * `Script Preparation Code`: An empty string, indicating that no additional script setup is required. * `Html Preparation Code`: Also an empty string, suggesting that the HTML environment is not a factor in this benchmark. * The individual test cases are defined within the `Benchmark Definition` field for each test. Overall, these benchmarks provide a good starting point for comparing the performance of different approaches to finding the minimum value in an array.
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