Kris Kuhlman klkuhlm

## DFT_ANN.py
"""
Train a neural network to implement the discrete Fourier transform
"""
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
import numpy as np
import matplotlib.pyplot as plt

N = 32
batch = 10000

## newton.ipynb

      
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                guyer
                / newton.ipynb
            
            
              Created
              May 13, 2016 18:07
            
              
                Jupyter notebook demonstrating Newton iterations in FIPy
              
          
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## numerical integration
#include "fmpcb_calc.h"
#include "profiler.h"

int
sinx(fmpcb_ptr out, const fmpcb_t inp, void * params, long order, long prec)
{
    int xlen = FLINT_MIN(2, order);
    fmpcb_set(out, inp);
    if (xlen > 1)
        fmpcb_one(out + 1);
	"""
	Train a neural network to implement the discrete Fourier transform
	"""
	from tensorflow.keras.models import Sequential
	from tensorflow.keras.layers import Dense
	import numpy as np
	import matplotlib.pyplot as plt

	N = 32
	batch = 10000
	#include "fmpcb_calc.h"
	#include "profiler.h"

	int
	sinx(fmpcb_ptr out, const fmpcb_t inp, void * params, long order, long prec)
	{
	int xlen = FLINT_MIN(2, order);
	fmpcb_set(out, inp);
	if (xlen > 1)
	fmpcb_one(out + 1);