pub struct VartimeEdwardsPrecomputation(_);Expand description
Precomputation for variable-time multiscalar multiplication with EdwardsPoints.
Trait Implementations§
source§impl VartimePrecomputedMultiscalarMul for VartimeEdwardsPrecomputation
impl VartimePrecomputedMultiscalarMul for VartimeEdwardsPrecomputation
§type Point = EdwardsPoint
type Point = EdwardsPoint
The type of point to be multiplied, e.g.,
RistrettoPoint.source§fn 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.
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::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 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 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