Example #1
0
 def targ(C,
          x,
          y,
          cmin,
          cmax,
          symm,
          d_kwargs=distance_arg_dict,
          c_args=args,
          c_kwargs=kwargs):
     # Compute distance for this bit
     self.distance_fun(C,
                       x,
                       y,
                       cmin=cmin,
                       cmax=cmax,
                       symm=symm,
                       **d_kwargs)
     imul(C, 1. / scale, cmin=cmin, cmax=cmax, symm=symm)
     # Compute covariance for this bit
     self.cov_fun(C,
                  cmin=cmin,
                  cmax=cmax,
                  symm=symm,
                  *c_args,
                  **c_kwargs)
     imul(C, amp * amp, cmin=cmin, cmax=cmax, symm=symm)
Example #2
0
 def targ(C,x,y, cmin, cmax,symm, d_kwargs=distance_arg_dict, c_args=args, c_kwargs=kwargs):
     # Compute distance for this bit
     self.distance_fun(C, x, y, cmin=cmin, cmax=cmax, symm=symm, **d_kwargs)
     imul(C, 1./scale, cmin=cmin, cmax=cmax, symm=symm)
     # Compute covariance for this bit
     self.cov_fun(C, cmin=cmin, cmax=cmax,symm=symm, *c_args, **c_kwargs)
     imul(C, amp*amp, cmin=cmin, cmax=cmax, symm=symm)
Example #3
0
def brownian_targ(C,x,y,h,amp,cmin, cmax,symm):
    # Compute covariance for this bit
    if h==.5:
        isotropic_cov_funs.brownian(C,x,y,cmin=0,cmax=-1,symm=symm)
    else:
        isotropic_cov_funs.frac_brownian(C,x,y,h,cmin=0,cmax=-1,symm=symm)

    imul(C, amp*amp, cmin=cmin, cmax=cmax, symm=symm)
    # Possibly symmetrize this bit
    if symm:
        symmetrize(C, cmin=cmin, cmax=cmax)