Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
Math.cbrt() vs. Binary search cbrt fix
(version: 0)
Comparing performance of:
Math.cbrt() vs Binary search cbrt
Created:
4 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
function cbrt(x) { if (x < 0.0) return NaN; if (x < 1.0) return 1.0 / cbrt(1.0 / x); let xhi = x; let xlo = 0.0; let guess = x / 3.0; let next; while ((guess * guess * guess) != x) { if ((guess * guess * guess) > x) xhi = guess; else xlo = guess; if ((next = (xhi + xlo) / 2.0) == guess) break; guess = next; } return guess; }
Tests:
Math.cbrt()
Math.cbrt(Math.random() * 1000000);
Binary search cbrt
cbrt(Math.random() * 1000000);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
Math.cbrt()
Binary search cbrt
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested. **Benchmark Definition JSON** The first section of the JSON provides information about the overall benchmark: * **Name**: The name of the benchmark, which is "Math.cbrt() vs. Binary search cbrt". * **Description**: An empty string, indicating that there is no description provided for this benchmark. * **Script Preparation Code**: A JavaScript function named `cbrt` that calculates the cube root of a number using a binary search algorithm. The function takes an input `x` and uses an iterative process to refine its guess until it finds the correct result. The binary search algorithm used in this implementation is a clever optimization for calculating cube roots. By repeatedly dividing the search space in half, the function can converge on the root much faster than a simple iterative approach. **Html Preparation Code** There is no HTML preparation code provided, which means that the benchmark script will be run directly in the browser without any additional setup or rendering of HTML elements. **Individual Test Cases** The next section of the JSON defines two individual test cases: 1. **"Math.cbrt()"**: This test case uses the built-in `Math.cbrt` function to calculate the cube root of a random number between 0 and 1,000,000. 2. **"Binary search cbrt"**: This test case uses the custom `cbrt` function defined earlier to calculate the cube root of a random number between 0 and 1,000,000. Both test cases are designed to measure the performance of each method for calculating cube roots. **Library** The `Math.cbrt` function is part of the JavaScript Math library, which provides mathematical functions for various operations. In this case, the library's implementation of `cbrt` is likely using a specialized algorithm that converges quickly and accurately. **Special JS Features/Syntax** There are no special JavaScript features or syntax used in this benchmark. The code only uses standard JavaScript syntax and built-in functions. **Pros and Cons of Approaches** The two approaches being compared have different pros and cons: * **Built-in `Math.cbrt` function**: Pros: + Fast and accurate implementation + No need to write custom code or optimize performance + Part of the standard JavaScript Math library, so it's widely supported * Cons: + May not be optimized for performance or specific use cases + Limited control over the implementation details * **Custom `cbrt` function**: Pros: + Can be optimized for performance or specific use cases + Provides more control over the implementation details + Can be useful for educational purposes or demonstrations * Cons: + Requires writing custom code, which can be error-prone and time-consuming + May not be as fast or accurate as the built-in implementation **Other Alternatives** There are other ways to calculate cube roots in JavaScript, such as using a library like `mathjs` or `numjs`, which provide optimized implementations of mathematical functions. Additionally, you could use approximation methods, like Newton's method or binary search, which can be useful for specific use cases but may not be as efficient as the built-in implementation. Overall, this benchmark provides a good opportunity to compare the performance of two different approaches to calculating cube roots in JavaScript, allowing users to understand the trade-offs between using the built-in `Math.cbrt` function versus writing custom code.
Related benchmarks:
Binary search property vs. delegate
Binary search property vs. delegate
Math.sqrt() vs. Binary search sqrt
Math.cbrt() vs. Binary search cbrt
Comments
Confirm delete:
Do you really want to delete benchmark?