def almlsqjac(params, *X):
try:
reload(cvalsim)
except Exception:
# import cvalsim
from cvalsim import f as sim
import numpy as np
xdata, zdata = X[0]
rp = np.ones(len(params))
for i in range(len(params)):
dparams = [0.0 for x in range(len(params))]
dparams[i] = 1.0
rp[i] = sum(-2.0 * (zdata - sim(xdata, params)) * sim(xdata, dparams))
return rp
def almlsq(params, *X):
# return lsq objective
# import numpy as np
try:
reload(cvalsim)
except Exception:
# import cvalsim
from cvalsim import f as sim
xdata, zdata = X[0]
return sum((zdata - sim(xdata, params))**2)
def almfeatmat(X, nparams):
import numpy as np
try:
reload(cvalsim)
except Exception:
# import cvalsim
from cvalsim import f as sim
dims = np.shape(X)
fm = np.ones([dims[0], nparams])
dparams = [0.0 for x in range(nparams)]
for i in range(nparams):
dparams[i] = 1.0
fm[:, i] = sim(X, dparams)
dparams[i] = 0.0
return fm
