def approximateMinmax(interval):
if type(interval) is list:
return minmax.main(f_str=func,
start=interval[0],
end=interval[1],
degree=deg,
precision=precision)
def main(f_str, start, end, degree, precision):
alternance = [
start + (end - start) * k / float(degree + 1)
for k in range(degree + 2)
]
del alternance[0]
return minmax.main(f_str, start, end, degree, precision, alternance, pol)
def min_max():
data = json.loads(request.data)
start = time.time()
result = minmax.main(data['func'].replace('e', str(np.e)), data['start'],
data['end'], data['deg'], data['precision'])
end = time.time()
result['1']['computation_time'] = end - start
result['1']['precision'] = data['precision']
return jsonify(result)