pub struct VartimeEdwardsPrecomputation(_);Expand description
Precomputation for variable-time multiscalar multiplication with EdwardsPoints.
Trait Implementations
sourceimpl VartimePrecomputedMultiscalarMul for VartimeEdwardsPrecomputation
impl VartimePrecomputedMultiscalarMul for VartimeEdwardsPrecomputation
type Point = EdwardsPoint
type Point = EdwardsPoint
The type of point to be multiplied, e.g.,
RistrettoPoint.sourcefn new<I>(static_points: I) -> Selfwhere
I: IntoIterator,
I::Item: Borrow<Self::Point>,
fn new<I>(static_points: I) -> Selfwhere
I: IntoIterator,
I::Item: Borrow<Self::Point>,
Given the static points \( B_i \), perform precomputation
and return the precomputation data. Read more
sourcefn 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 moresourcefn vartime_multiscalar_mul<I>(&self, static_scalars: I) -> Self::Pointwhere
I: IntoIterator,
I::Item: Borrow<Scalar>,
fn vartime_multiscalar_mul<I>(&self, static_scalars: I) -> Self::Pointwhere
I: IntoIterator,
I::Item: Borrow<Scalar>,
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 moresourcefn 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 RefUnwindSafe for VartimeEdwardsPrecomputation
impl Send for VartimeEdwardsPrecomputation
impl Sync for VartimeEdwardsPrecomputation
impl Unpin for VartimeEdwardsPrecomputation
impl UnwindSafe for VartimeEdwardsPrecomputation
Blanket Implementations
sourceimpl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more