differintP v0.0.3

0.0.3:

• Exposing GLcoef to Python
• Added GLthread: New version of Grünwald-Letnikov operator using FFTW multithreading for parallel FFT. Best for very large arrays.
• Optimized GL: Efficient direct convolution. Now the default and fastest for most problem sizes (N < 1e6).
• Restored GLfull: Original implementation with full convolution and padding, included for completeness and possible future optimization.
• Updated documentation and examples for all versions.
• docs were moved to github wikis

Benchmark Result for GL:

count	0.0.2.3	new GL	new Glthread
1+e2	0.0389	0.0052	0.0072
1+e3	0.9822 ms	1.6205	2.5485
1+e4	5.2982 ms	2.8592	6.2919
1+e5	104.1740 ms	16.63965	16.8091
1+e6	667.7444 ms	131.1534	151.7773
1+e7	*	1237.50445	1052.473
1+e8	*	13476.0071	12980.2857

differintC 0.0.2.4 (optimization)

0.0.2.4: (7/2/2025) Optimized GLpoint implementation

• GLpoint
  • On-the-fly Coefficient Calculation
  • Efficient Memory Access
  • Precomputed Constants
• GLcoeffs optimization

bench_1 Result for GLpoint and comparison to original differint package (1.0.0):

count	0.0.2.3	0.0.2.4	differint
1+e2	*	*	*
1+e3	0.0083 ms	0.0099 ms	0.4213 ms
1+e4	0.0721 ms	0.0243 ms	3.8376 ms
1+e5	1.5568 ms	0.1885 ms	36.3030 ms
1+e6	10.0608 ms	3.9995 ms	385.9205 ms
1+e7	*	41.2 ms	*