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Package np
Short Description Np (numphp) is numerical library with low memory footprint for php language. Suitable for large scale computing. php-8.0+ 64 bit is required!
License MIT
Homepage https://github.com/ghostjat/Np
Informations about the package np
Description
Lite, Fast & Memory Efficient Mathematical PHP library for scientific computing
Np(numphp) is a library that provides objects for computing large sets of numbers in PHP.
Installation
Install Np into your project with Composer:
Sample Code
Synopsis
WARNING:
This module is in its early stages and should be considered a Work in Progress.The interface is not final and may change in the future.
Requirements
- PHP 8+ 64bit with ffi & #libblas, #liblapacke
Make sure you have all the necessary tools installed such as FFI, libblas, liblapacke.
Performance
System Conf:- Intel(R) Core(TM) i3-2370M CPU @ 2.40GHz 64bit Memory:- 8GB php:- 8.0.5 64bit
Current Benchmarks of this library
Data Size :- [500x500] Revolutions:- 5 Iterations:- 5
subject | mem_peak | best | mode | mean | worst | stdev |
---|---|---|---|---|---|---|
sum | 3.606mb | 0.014s | 0.014s | 0.015s | 0.015s | 0.000s |
multiply | 8.589mb | 0.070s | 0.071s | 0.071s | 0.071s | 0.000s |
lu | 4.648mb | 0.064s | 0.065s | 0.065s | 0.068s | 0.001s |
eign | 2.801mb | 0.085s | 0.086s | 0.086s | 0.088s | 0.001s |
cholesky | 1.621mb | 0.001s | 0.001s | 0.001s | 0.001s | 0.000s |
svd | 3.706mb | 0.126s | 0.126s | 0.127s | 0.133s | 0.002s |
normL2 | 1.621mb | 0.003s | 0.003s | 0.003s | 0.003s | 0.000s |
Pinverse | 4.903mb | 0.156s | 0.156s | 0.158s | 0.163s | 0.003s |
inverse | 1.819mb | 0.016s | 0.016s | 0.016s | 0.017s | 0.000s |
normL1 | 1.621mb | 0.001s | 0.001s | 0.001s | 0.001s | 0.000s |
dotMatrix | 3.769mb | 0.006s | 0.006s | 0.006s | 0.006s | 0.000s |
det | 4.662mb | 0.066s | 0.066s | 0.067s | 0.067s | 0.000s |
rref | 1.529mb | 9.227s | 9.271s | 9.309s | 9.427s | 0.072s |
ref | 1.818mb | 0.007s | 0.008s | 0.008s | 0.008s | 0.000s |
clip | 8.516mb | 0.073s | 0.076s | 0.075s | 0.077s | 0.002s |
clipUpper | 8.516mb | 0.055s | 0.056s | 0.057s | 0.059s | 0.002s |
clipLower | 8.516mb | 0.055s | 0.058s | 0.057s | 0.059s | 0.002s |
joinBelow | 4.517mb | 0.027s | 0.027s | 0.027s | 0.028s | 0.000s |
transpose | 8.504mb | 0.057s | 0.057s | 0.058s | 0.059s | 0.001s |
joinLeft | 4.511mb | 0.025s | 0.025s | 0.026s | 0.027s | 0.001s |
poisson | 1.590mb | 0.029s | 0.029s | 0.029s | 0.030s | 0.000s |
gaussian | 20.203mb | 0.056s | 0.056s | 0.056s | 0.056s | 0.000s |
randn | 1.528mb | 0.017s | 0.017s | 0.017s | 0.017s | 0.000s |
uniform | 1.528mb | 0.021s | 0.021s | 0.021s | 0.022s | 0.000s |
multiply | 4.507mb | 0.042s | 0.042s | 0.043s | 0.045s | 0.001s |
Previous BenchMark
benchmark | subject | set | revs | its | mem_peak | mode | rstdev |
---|---|---|---|---|---|---|---|
eignBench | eign | 0 | 1 | 5 | 2.699mb | 0.309s | ±4.51% |
svdBench | svd | 0 | 1 | 5 | 3.604mb | 0.148s | ±3.60% |
poissonMatrixBench | poisson | 0 | 1 | 5 | 11.738mb | 0.105s | ±7.07% |
gaussianMatrixBench | gaussian | 0 | 1 | 5 | 11.738mb | 0.112s | ±17.12% |
randMatrixBench | randn | 0 | 1 | 5 | 1.429mb | 0.048s | ±2.37% |
uniformMatrixBench | uniform | 0 | 1 | 5 | 1.429mb | 0.063s | ±8.16% |
matrixTransposeBench | transpose | 0 | 1 | 5 | 8.431mb | 0.120s | ±1.32% |
rrefBench | rref | 0 | 1 | 5 | 1.501mb | 28.513s | ±1.90% |
refBench | ref | 0 | 1 | 5 | 1.731mb | 0.023s | ±7.24% |
sumMatrixBench | sum | 0 | 1 | 5 | 2.434mb | 0.051s | ±3.59% |
matrixPseudoInverseBench | inverse | 0 | 1 | 5 | 4.775mb | 0.222s | ±13.76% |
matrixInverseBench | inverse | 0 | 1 | 5 | 1.731mb | 0.032s | ±127.50% |
dotMatrixBench | dotMatrix | 0 | 1 | 5 | 3.656mb | 0.013s | ±27.94% |
matrixL1NormBench | normL1 | 0 | 1 | 10 | 1.525mb | 0.001s | ±0.80% |
matrixL2NormBench | normL2 | 0 | 1 | 10 | 1.525mb | 0.003s | ±1.63% |
License
The code is licensed CC BY-NC 4.0.
Author
Shubham Chaudhary [email protected]
All versions of np with dependencies
ext-ffi Version *