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Math.pow vs ** vs * for squares
(version: 0)
Comparing performance of:
pow vs ** vs *
Created:
3 years ago
by:
Registered User
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Tests:
pow
var tmp = Math.pow(6, 2);
**
var tmp = 6 ** 2;
*
var tmp = 6 * 6;
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
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Test case name
Result
pow
**
*
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON data and explain what's being tested in the benchmark. **Overview** The test measures the performance difference between using `Math.pow()`, exponentiation operator (`**`), and multiplication (`*`) for calculating squares of numbers. **Options compared** The benchmark compares three options: 1. **Math.pow()**: A built-in JavaScript function that calculates the power of a number. 2. **Exponentiation operator (`**`)**: A new syntax introduced in ECMAScript 2016, which allows exponentiation using the `**` operator. 3. **Multiplication (`*`)**: A simple multiplication operation. **Pros and cons** Here's a brief summary of each option: * **Math.pow()**: + Pros: Portable across browsers, well-established syntax. + Cons: May be slower due to its iterative nature. * **Exponentiation operator (`**`)**: + Pros: More concise and readable syntax, potentially faster execution. + Cons: Limited support in older browsers (before ECMAScript 2016), may not be optimized for performance. * **Multiplication (`*`)**: + Pros: Simple, widely supported syntax. + Cons: May lead to slower performance due to repeated multiplications. In general, `Math.pow()` is a safe choice when portability and readability are essential. The exponentiation operator (`**`) offers a more concise alternative, while multiplication (`*`) may be faster but at the cost of readability. **Library** None of the test cases rely on external libraries. They only use built-in JavaScript functions or operators. **Special JS features/syntax** The benchmark uses the exponentiation operator (`**`), which is a relatively new syntax introduced in ECMAScript 2016. This allows for concise and readable exponentiation calculations. **Other alternatives** If you wanted to test alternative methods, you could consider using: 1. **Recursive function**: A custom recursive function for calculating squares. 2. **Big O notation**: Testing the performance of different algorithms with a time complexity analysis (e.g., O(n), O(log n)). 3. **Parallel execution**: Testing the performance benefits of executing multiple calculations simultaneously. These alternatives would require additional modifications to the benchmark code and might not be as straightforward to implement as using built-in functions or operators.
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