(self,s)
return value,err
This routine applies the convergence acceleration to the partial sums.

        A   = sum(a_k, k = 0..infinity)
        s_n = sum(a_k, k = 0..n)

        v, e = ...step_psum(s_k)

        output:
          v      current estimate of the series A
          e      an error estimate which is simply the difference between the current
                 estimate and the last estimate.
This routine applies the convergence acceleration to the partial sums.
This routine applies the convergence acceleration to the partial sums .
def step_psum(self,s):
        """
        This routine applies the convergence acceleration to the partial sums.

        A   = sum(a_k, k = 0..infinity)
        s_n = sum(a_k, k = 0..n)

        v, e = ...step_psum(s_k)

        output:
          v      current estimate of the series A
          e      an error estimate which is simply the difference between the current
                 estimate and the last estimate.
        """

        if self.variant!="v":
            if self.n==0:
                self.last_s=s
                self.run(s,s)
            else:
                self.run(s,s-self.last_s)
                self.last_s=s
        else:
            if isinstance(self.last_s,bool):
                self.last_s=s
                self.last_w=s
                self.last=0
                return s,abs(s)

            na1=s-self.last_s
            self.run(self.last_s,self.last_w,na1)
            self.last_w=na1
            self.last_s=s

        value=self.A[0]/self.B[0]
        err=abs(value-self.last)
        self.last=value

        return value,err
def step_psum ( self , s ) : if self . variant != "v" : if self . n == 0 : self . last_s = s self . run ( s , s ) else : self . run ( s , s - self . last_s ) self . last_s = s else : if isinstance ( self . last_s , bool ) : self . last_s = s self . last_w = s self . last = 0 return s , abs ( s ) na1 = s - self . last_s self . run ( self . last_s , self . last_w , na1 ) self . last_w = na1 self . last_s = s value = self . A [ 0 ] / self . B [ 0 ] err = abs ( value - self . last ) self . last = value return value , err