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distance methods
(version: 0)
Benchmark.js
Comparing performance of:
hyp vs sqrt vs sqrt-exp
Created:
5 years ago
by:
Guest
Go to the latest result
Script Preparation code:
var ax = 100; var ay = 200; var bx = 400; var by = 600;
Tests:
hyp
Math.hypot(bx - ax, by - ay);
sqrt
var a = bx - ax; var b = by - ay; var c = Math.sqrt(a * a + b * b);
sqrt-exp
var c = Math.sqrt((bx - ax) ** 2 + (by - ay) ** 2)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
hyp
sqrt
sqrt-exp
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36 Edg/120.0.0.0
Browser/OS:
Chrome 120 on Windows
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Embed
Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=492533" width="100%" height="500px"></iframe>
sqrt-exp
2.8M/s
sqrt
2.8M/s
hyp
2.6M/s
View exact numbers
Test name
Executions per second
✓
sqrt-exp
2,845,683 Ops/sec
sqrt
2,835,344 Ops/sec
hyp
2,561,696 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Overview of the Benchmark** The provided benchmark compares different methods for calculating the distance between two points in a 2D space. The test cases measure the execution time of each method on a JavaScript engine. **Script Preparation Code** The script preparation code defines two pairs of coordinates: `(ax, ay)` and `(bx, by)`. These values are used as input to the benchmark tests. ```javascript var ax = 100; var ay = 200; var bx = 400; var by = 600; ``` **Options Compared** The benchmark compares three different methods for calculating the distance between two points: 1. **Math.hypot**: This method uses the `hypot` function from the Math library, which calculates the length of a line segment given its endpoints. 2. **Explicit calculation**: This method involves manually calculating the square root of the sum of the squares of the differences between the coordinates using the formula `c = sqrt(a * a + b * b)`. 3. **Explicit calculation with exponentiation**: This method uses exponentiation to calculate the distance, resulting in the formula `c = Math.sqrt((bx - ax) ** 2 + (by - ay) ** 2)`. **Pros and Cons** 1. **Math.hypot**: * Pros: Simple and efficient implementation. * Cons: May not be supported in older browsers or environments that don't have access to the Math library. 2. **Explicit calculation**: * Pros: Widely supported, as it only relies on basic arithmetic operations. * Cons: More computationally expensive than `Math.hypot`, especially for large inputs. 3. **Explicit calculation with exponentiation**: * Pros: Can be faster than the explicit calculation method due to the use of exponentiation. * Cons: May not be supported in older browsers or environments that don't support exponentiation. **Library and Special JS Features** None of the benchmark tests rely on any external libraries. However, the `Math.hypot` function uses a specialized Math library implementation that is specific to JavaScript engines. No special JS features are used in this benchmark. **Other Alternatives** If you're looking for alternative methods to calculate distances between two points, some options include: * Using the Euclidean distance formula: `c = sqrt((bx - ax)^2 + (by - ay)^2)` * Using a library like [Distance.js](https://github.com/marionettejs/distance) or [Math-js](https://mathjs.org/) for more advanced calculations. * Implementing your own distance calculation algorithm using basic arithmetic operations. Keep in mind that the choice of method depends on the specific requirements and constraints of your use case.
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