mag.h – fixed-precision unsigned floating-point numbers for bounds¶
The mag_t
type is an unsigned floating-point type with a
fixed-precision mantissa (30 bits) and an arbitrary-precision
exponent (represented as an fmpz_t
), suited for
representing and rigorously manipulating magnitude bounds efficiently.
Operations always produce a strict upper or lower bound, but for performance
reasons, no attempt is made to compute the best possible bound
(in general, a result may a few ulps larger/smaller than the optimal value).
The special values zero and positive infinity are supported (but not NaN).
Applications requiring more flexibility (such as correct rounding, or
higher precision) should use the arf_t
type instead.
Types, macros and constants¶
-
mag_struct
¶ A
mag_struct
holds a mantissa and an exponent. Special values are encoded by the mantissa being set to zero.
-
mag_t
¶ A
mag_t
is defined as an array of length one of typemag_struct
, permitting amag_t
to be passed by reference.
Memory management¶
Special values¶
-
int
mag_is_finite
(const mag_t x)¶ Returns nonzero iff x is not positive infinity (since there is no NaN value, this function is exactly the negation of
mag_is_inf()
).
Comparisons¶
-
int
mag_cmp
(const mag_t x, const mag_t y)¶ Returns negative, zero, or positive, depending on whether x is smaller, equal, or larger than y.
Input and output¶
Random generation¶
-
void
mag_randtest
(mag_t x, flint_rand_t state, slong expbits)¶ Sets x to a random finite value, with an exponent up to expbits bits large.
-
void
mag_randtest_special
(mag_t x, flint_rand_t state, slong expbits)¶ Like
mag_randtest()
, but also sometimes sets x to infinity.
Conversions¶
Arithmetic¶
-
void
mag_mul_2exp_fmpz
(mag_t z, const mag_t x, const fmpz_t y)¶ Sets z to \(x \times 2^y\). This operation is exact.
-
void
mag_add_2exp_fmpz
(mag_t z, const mag_t x, const fmpz_t e)¶ Sets z to an upper bound for \(x + 2^e\).
-
void
mag_add_ui_2exp_si
(mag_t z, const mag_t x, ulong y, slong e)¶ Sets z to an upper bound for \(x + y 2^e\).
Fast, unsafe arithmetic¶
The following methods assume that all inputs are finite and that all exponents (in all inputs as well as the final result) fit as fmpz inline values. They also assume that the output variables do not have promoted exponents, as they will be overwritten directly (thus leaking memory).
-
void
mag_fast_addmul
(mag_t z, const mag_t x, const mag_t y)¶ Sets z to an upper bound for \(z + xy\).
Powers and logarithms¶
-
void
mag_pow_fmpz
(mag_t z, const mag_t x, const fmpz_t e)¶ Sets z to an upper bound for \(x^e\). Requires \(e \ge 0\).
-
void
mag_hypot
(mag_t z, const mag_t x, const mag_t y)¶ Sets z to an upper bound for \(\sqrt{x^2 + y^2}\).
-
void
mag_root
(mag_t z, const mag_t x, ulong n)¶ Sets z to an upper bound for \(x^{1/n}\). We evaluate \(\exp(\log(1+2^{kn}x)/n) 2^{-k}\), where k is chosen so that \(2^{kn}x \approx 2^{30}\).
-
void
mag_log1p
(mag_t z, const mag_t x)¶ Sets z to an upper bound for \(\log(1+x)\). The bound is computed accurately for small x.
-
void
mag_expinv
(mag_t z, const mag_t x)¶ Sets z to an upper bound for \(\exp(-x)\). As currently implemented, the bound is computed crudely by rounding x down to an integer before approximating the exponential.
-
void
mag_expm1
(mag_t z, const mag_t x)¶ Sets z to an upper bound for \(\exp(x) - 1\). The bound is computed accurately for small x.
Special functions¶
-
void
mag_bernoulli_div_fac_ui
(mag_t z, ulong n)¶ Sets z to an upper bound for \(|B_n| / n!\) where \(B_n\) denotes a Bernoulli number.
-
void
mag_polylog_tail
(mag_t u, const mag_t z, slong s, ulong d, ulong N)¶ Sets u to an upper bound for
\[\sum_{k=N}^{\infty} \frac{z^k \log^d(k)}{k^s}.\]Note: in applications where \(s\) in this formula may be real or complex, the user can simply substitute any convenient integer \(s'\) such that \(s' \le \operatorname{Re}(s)\).
Denote the terms by \(T(k)\). We pick a nonincreasing function \(U(k)\) such that
\[\frac{T(k+1)}{T(k)} = z \left(\frac{k}{k+1}\right)^s \left( \frac{\log(k+1)}{\log(k)} \right)^d \le U(k).\]Then, as soon as \(U(N) < 1\),
\[\sum_{k=N}^{\infty} T(k) \le T(N) \sum_{k=0}^{\infty} U(N)^k = \frac{T(N)}{1 - U(N)}.\]In particular, we take
\[U(k) = z \; B(k, \max(0, -s)) \; B(k \log(k), d)\]where \(B(m,n) = (1 + 1/m)^n\). This follows from the bounds
\[\begin{split}\left(\frac{k}{k+1}\right)^{s} \le \begin{cases} 1 & \text{if } s \ge 0 \\ (1 + 1/k)^{-s} & \text{if } s < 0. \end{cases}\end{split}\]and
\[\left( \frac{\log(k+1)}{\log(k)} \right)^d \le \left(1 + \frac{1}{k \log(k)}\right)^d.\]
-
void
mag_hurwitz_zeta_uiui
(mag_t res, ulong s, ulong a)¶ Sets res to an upper bound for \(\zeta(s,a) = \sum_{k=0}^{\infty} (k+a)^{-s}\). We use the formula
\[\zeta(s,a) \le \frac{1}{a^s} + \frac{1}{(s-1) a^{s-1}}\]which is obtained by estimating the sum by an integral. If \(s \le 1\) or \(a = 0\), the bound is infinite.