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Math.abs speed vs multiply full example vs steps
(version: 0)
Comparing performance of:
Math.abs(x) vs compare x*x vs use steps
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var value = -0.07 var step = 0.01 var min = -5 // sorry we must use var and not let and const function validateStepWithAbs(value, step, min = 0) { if (value == null) return false var absValue = Math.abs(value) var absStep = Math.abs(step) var absMin = Math.abs(min) while ( (absValue > 0 && absValue < 1) || (absStep > 0 && absStep < 1) || (absMin > 0 && absMin < 1) ) { value *= 10 step *= 10 min *= 10 absValue = Math.abs(value) absStep = Math.abs(step) absMin = Math.abs(min) } return (value - min) % step === 0 } function validateStepWithMultiply(value, step, min = 0) { if (value == null) return false while ( (value !== 0 && value * value < 1) || (step !== 0 && step * step < 1) || (min !== 0 && min * min < 1) ) { value *= 10 step *= 10 min *= 10 } return (value - min) % step === 0 } function validateStepWithSteps(value, step, min = 0) { if (value == null) return false var steps = (value - min) / step var remainder = steps % 1 // Since the remainder could be close to either 0.99999999999999 or 0.00000000000001 remainder = Math.round((remainder) * 1000000000) / 1000000000 return remainder === 0 || remainder === 1 }
Tests:
Math.abs(x)
validateStepWithAbs(value, step, min)
compare x*x
validateStepWithMultiply(value, step, min)
use steps
validateStepWithSteps(value, step, min)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Math.abs(x)
compare x*x
use steps
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
4 months ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64; rv:146.0) Gecko/20100101 Firefox/146.0
Browser/OS:
Firefox 146 on Linux
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Test name
Executions per second
Math.abs(x)
38321132.0 Ops/sec
compare x*x
37123384.0 Ops/sec
use steps
71952736.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to help explain what's being tested in this JavaScript benchmark. **Overview** The benchmark measures the performance of three different approaches for validating whether `(value - min) % step === 0`: 1. `Math.abs` 2. Multiplication (`x * x`) 3. Using steps (`(value - min) / step`) These approaches are used to test a specific scenario where a value `x` is repeatedly incremented by a factor of 10 until it meets the condition. **Options compared** The three options being compared are: 1. **Math.abs**: uses the built-in `Math.abs` function to calculate the absolute value of `value`. 2. **Multiplication (`x * x`)**: multiplies `value` by itself repeatedly until it meets the condition. 3. **Using steps (`(value - min) / step`)**: calculates the number of steps needed to reach `min` from `value` and checks if the remainder is 0. **Pros and Cons** Here's a brief summary of each approach: 1. **Math.abs**: * Pros: simple, efficient, and widely supported. * Cons: may not be as accurate for very large values due to floating-point precision issues. 2. **Multiplication (`x * x`)**: * Pros: can be more accurate than `Math.abs` for very large values, but is less efficient and may overflow for large values. * Cons: can be slower and less scalable than other approaches. 3. **Using steps (`(value - min) / step`)**: * Pros: highly scalable and can handle very large values without overflowing. * Cons: requires more calculations and may be slower due to the division operation. **Library and special JS features** In this benchmark, there are no specific libraries or special JavaScript features being used. The code is relatively simple and only relies on built-in JavaScript functions and operators. **Alternative approaches** Other approaches that could potentially be used for validating `(value - min) % step === 0` include: 1. **Bitwise operations**: using bitwise shift and comparison operations to calculate the remainder. 2. **Modular arithmetic**: using modular arithmetic properties to simplify the calculation. 3. **Arithmetic-geometric means (AGM)**: using an iterative method to compute the AGM of `value` and `min`. These alternative approaches may offer better performance or accuracy for specific use cases, but are not shown in this benchmark. I hope this helps explain what's being tested in this JavaScript benchmark!
Related benchmarks:
Math.abs speed vs multiply full example
Math.abs speed vs multiply full example vs steps mid point
Math.abs speed vs multiply vs steps mid point vs epsilon
* 10, round vs trunc vs floor vs parseFloat vs ~~ vs 0 | vs parseInt vs parseInt, 10
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