pub struct VartimeEdwardsPrecomputation(/* private fields */);
Expand description
Precomputation for variable-time multiscalar multiplication with EdwardsPoint
s.
Trait Implementations§
source§impl VartimePrecomputedMultiscalarMul for VartimeEdwardsPrecomputation
impl VartimePrecomputedMultiscalarMul for VartimeEdwardsPrecomputation
source§type Point = EdwardsPoint
type Point = EdwardsPoint
The type of point to be multiplied, e.g.,
RistrettoPoint
.source§fn new<I>(static_points: I) -> Self
fn new<I>(static_points: I) -> Self
Given the static points \( B_i \), perform precomputation
and return the precomputation data.
source§fn optional_mixed_multiscalar_mul<I, J, K>(
&self,
static_scalars: I,
dynamic_scalars: J,
dynamic_points: K,
) -> Option<Self::Point>where
I: IntoIterator,
I::Item: Borrow<Scalar>,
J: IntoIterator,
J::Item: Borrow<Scalar>,
K: IntoIterator<Item = Option<Self::Point>>,
fn optional_mixed_multiscalar_mul<I, J, K>(
&self,
static_scalars: I,
dynamic_scalars: J,
dynamic_points: K,
) -> Option<Self::Point>where
I: IntoIterator,
I::Item: Borrow<Scalar>,
J: IntoIterator,
J::Item: Borrow<Scalar>,
K: IntoIterator<Item = Option<Self::Point>>,
Given
static_scalars
, an iterator of public scalars
\(b_i\), dynamic_scalars
, an iterator of public scalars
\(a_i\), and dynamic_points
, an iterator of points
\(A_i\), compute
$$
Q = a_1 A_1 + \cdots + a_n A_n + b_1 B_1 + \cdots + b_m B_m,
$$
where the \(B_j\) are the points that were supplied to new
. Read moresource§fn vartime_multiscalar_mul<I>(&self, static_scalars: I) -> Self::Point
fn vartime_multiscalar_mul<I>(&self, static_scalars: I) -> Self::Point
Given
static_scalars
, an iterator of public scalars
\(b_i\), compute
$$
Q = b_1 B_1 + \cdots + b_m B_m,
$$
where the \(B_j\) are the points that were supplied to new
. Read moresource§fn vartime_mixed_multiscalar_mul<I, J, K>(
&self,
static_scalars: I,
dynamic_scalars: J,
dynamic_points: K,
) -> Self::Pointwhere
I: IntoIterator,
I::Item: Borrow<Scalar>,
J: IntoIterator,
J::Item: Borrow<Scalar>,
K: IntoIterator,
K::Item: Borrow<Self::Point>,
fn vartime_mixed_multiscalar_mul<I, J, K>(
&self,
static_scalars: I,
dynamic_scalars: J,
dynamic_points: K,
) -> Self::Pointwhere
I: IntoIterator,
I::Item: Borrow<Scalar>,
J: IntoIterator,
J::Item: Borrow<Scalar>,
K: IntoIterator,
K::Item: Borrow<Self::Point>,
Given
static_scalars
, an iterator of public scalars
\(b_i\), dynamic_scalars
, an iterator of public scalars
\(a_i\), and dynamic_points
, an iterator of points
\(A_i\), compute
$$
Q = a_1 A_1 + \cdots + a_n A_n + b_1 B_1 + \cdots + b_m B_m,
$$
where the \(B_j\) are the points that were supplied to new
. Read moreAuto Trait Implementations§
impl Freeze for VartimeEdwardsPrecomputation
impl RefUnwindSafe for VartimeEdwardsPrecomputation
impl Send for VartimeEdwardsPrecomputation
impl Sync for VartimeEdwardsPrecomputation
impl Unpin for VartimeEdwardsPrecomputation
impl UnwindSafe for VartimeEdwardsPrecomputation
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more