def nthroot(ctx, x, n): x = ctx.convert(x) n = int(n) if hasattr(x, '_mpf_'): try: return ctx.make_mpf(libelefun.mpf_nthroot(x._mpf_, n, *ctx._prec_rounding)) except ComplexResult: if ctx.trap_complex: raise x = (x._mpf_, libmpf.fzero) else: x = x._mpc_ return ctx.make_mpc(libmpc.mpc_nthroot(x, n, *ctx._prec_rounding))
def nthroot(x, n): """principal n-th root""" n = int(n) if isinstance(x, mpf): try: return make_mpf(libelefun.mpf_nthroot(x._mpf_, n, *prec_rounding)) except ComplexResult: if mp.trap_complex: raise x = (x._mpf_, libmpf.fzero) else: x = x._mpc_ return make_mpc(libmpc.mpc_nthroot(x, n, *prec_rounding))
def nthroot(ctx, x, n): x = ctx.convert(x) n = int(n) if hasattr(x, '_mpf_'): try: return ctx.make_mpf( libelefun.mpf_nthroot(x._mpf_, n, *ctx._prec_rounding)) except ComplexResult: if ctx.trap_complex: raise x = (x._mpf_, libmpf.fzero) else: x = x._mpc_ return ctx.make_mpc(libmpc.mpc_nthroot(x, n, *ctx._prec_rounding))
def mpc_nthroot(z, n, prec, rnd=round_fast): """ Complex n-th root. Use Newton method as in the real case when it is faster, otherwise use z**(1/n) """ a, b = z if a[0] == 0 and b == fzero: re = mpf_nthroot(a, n, prec, rnd) return (re, fzero) if n < 2: if n == 0: return mpc_one if n == 1: return mpc_pos((a, b), prec, rnd) if n == -1: return mpc_div(mpc_one, (a, b), prec, rnd) inverse = mpc_nthroot((a, b), -n, prec + 5, reciprocal_rnd[rnd]) return mpc_div(mpc_one, inverse, prec, rnd) if n <= 20: prec2 = int(1.2 * (prec + 10)) asign, aman, aexp, abc = a bsign, bman, bexp, bbc = b pf = mpc_abs((a, b), prec) if pf[-2] + pf[-1] > -10 and pf[-2] + pf[-1] < prec: af = to_fixed(a, prec2) bf = to_fixed(b, prec2) re, im = mpc_nthroot_fixed(af, bf, n, prec2) extra = 10 re = from_man_exp(re, -prec2 - extra, prec2, rnd) im = from_man_exp(im, -prec2 - extra, prec2, rnd) return re, im fn = from_int(n) prec2 = prec + 10 + 10 nth = mpf_rdiv_int(1, fn, prec2) re, im = mpc_pow((a, b), (nth, fzero), prec2, rnd) re = normalize(re[0], re[1], re[2], re[3], prec, rnd) im = normalize(im[0], im[1], im[2], im[3], prec, rnd) return re, im
def mpc_nthroot(z, n, prec, rnd=round_fast): """ Complex n-th root. Use Newton method as in the real case when it is faster, otherwise use z**(1/n) """ a, b = z if a[0] == 0 and b == fzero: re = mpf_nthroot(a, n, prec, rnd) return (re, fzero) if n < 2: if n == 0: return mpc_one if n == 1: return mpc_pos((a, b), prec, rnd) if n == -1: return mpc_div(mpc_one, (a, b), prec, rnd) inverse = mpc_nthroot((a, b), -n, prec+5, reciprocal_rnd[rnd]) return mpc_div(mpc_one, inverse, prec, rnd) if n <= 20: prec2 = int(1.2 * (prec + 10)) asign, aman, aexp, abc = a bsign, bman, bexp, bbc = b pf = mpc_abs((a,b), prec) if pf[-2] + pf[-1] > -10 and pf[-2] + pf[-1] < prec: af = to_fixed(a, prec2) bf = to_fixed(b, prec2) re, im = mpc_nthroot_fixed(af, bf, n, prec2) extra = 10 re = from_man_exp(re, -prec2-extra, prec2, rnd) im = from_man_exp(im, -prec2-extra, prec2, rnd) return re, im fn = from_int(n) prec2 = prec+10 + 10 nth = mpf_rdiv_int(1, fn, prec2) re, im = mpc_pow((a, b), (nth, fzero), prec2, rnd) re = normalize(re[0], re[1], re[2], re[3], prec, rnd) im = normalize(im[0], im[1], im[2], im[3], prec, rnd) return re, im
imb = (imc << p) // r4 re = (reb + (n-1)*lshift(re, p-prevp))//n im = (imb + (n-1)*lshift(im, p-prevp))//n prevp = p return re, im def mpc_nthroot((a, b), n, prec, rnd=round_fast): """ Complex n-th root. Use Newton method as in the real case when it is faster, otherwise use z**(1/n) """ if a[0] == 0 and b == fzero: re = mpf_nthroot(a, n, prec, rnd) return (re, fzero) if n < 2: if n == 0: return mpc_one if n == 1: return mpc_pos((a, b), prec, rnd) if n == -1: return mpc_div(mpc_one, (a, b), prec, rnd) inverse = mpc_nthroot((a, b), -n, prec+5, reciprocal_rnd[rnd]) return mpc_div(mpc_one, inverse, prec, rnd) if n <= 20: prec2 = int(1.2 * (prec + 10)) asign, aman, aexp, abc = a bsign, bman, bexp, bbc = b pf = mpc_abs((a,b), prec)