Struct ultraviolet::f32x8[][src]

#[repr(C, align(32))]pub struct f32x8 { /* fields omitted */ }

Implementations

impl f32x8[src]

pub const ONE: f32x8[src]

pub const HALF: f32x8[src]

pub const ZERO: f32x8[src]

pub const E: f32x8[src]

pub const FRAC_1_PI: f32x8[src]

pub const FRAC_2_PI: f32x8[src]

pub const FRAC_2_SQRT_PI: f32x8[src]

pub const FRAC_1_SQRT_2: f32x8[src]

pub const FRAC_PI_2: f32x8[src]

pub const FRAC_PI_3: f32x8[src]

pub const FRAC_PI_4: f32x8[src]

pub const FRAC_PI_6: f32x8[src]

pub const FRAC_PI_8: f32x8[src]

pub const LN_2: f32x8[src]

pub const LN_10: f32x8[src]

pub const LOG2_E: f32x8[src]

pub const LOG10_E: f32x8[src]

pub const LOG10_2: f32x8[src]

pub const LOG2_10: f32x8[src]

pub const PI: f32x8[src]

pub const SQRT_2: f32x8[src]

pub const TAU: f32x8[src]

impl f32x8[src]

#[must_use]pub fn blend(self, t: f32x8, f: f32x8) -> f32x8[src]

#[must_use]pub fn abs(self) -> f32x8[src]

#[must_use]pub fn max(self, rhs: f32x8) -> f32x8[src]

#[must_use]pub fn min(self, rhs: f32x8) -> f32x8[src]

#[must_use]pub fn is_nan(self) -> f32x8[src]

#[must_use]pub fn is_finite(self) -> f32x8[src]

#[must_use]pub fn is_inf(self) -> f32x8[src]

#[must_use]pub fn round(self) -> f32x8[src]

#[must_use]pub fn round_int(self) -> i32x8[src]

#[must_use]pub fn mul_add(self, m: f32x8, a: f32x8) -> f32x8[src]

#[must_use]pub fn mul_sub(self, m: f32x8, a: f32x8) -> f32x8[src]

#[must_use]pub fn mul_neg_add(self, m: f32x8, a: f32x8) -> f32x8[src]

#[must_use]pub fn mul_neg_sub(self, m: f32x8, a: f32x8) -> f32x8[src]

#[must_use]pub fn flip_signs(self, signs: f32x8) -> f32x8[src]

#[must_use]pub fn copysign(self, sign: f32x8) -> f32x8[src]

pub fn asin_acos(self) -> (f32x8, f32x8)[src]

#[must_use]pub fn asin(self) -> f32x8[src]

#[must_use]pub fn acos(self) -> f32x8[src]

pub fn atan(self) -> f32x8[src]

pub fn atan2(self, x: f32x8) -> f32x8[src]

#[must_use]pub fn sin_cos(self) -> (f32x8, f32x8)[src]

#[must_use]pub fn sin(self) -> f32x8[src]

#[must_use]pub fn cos(self) -> f32x8[src]

#[must_use]pub fn tan(self) -> f32x8[src]

#[must_use]pub fn to_degrees(self) -> f32x8[src]

#[must_use]pub fn to_radians(self) -> f32x8[src]

#[must_use]pub fn recip(self) -> f32x8[src]

#[must_use]pub fn recip_sqrt(self) -> f32x8[src]

#[must_use]pub fn sqrt(self) -> f32x8[src]

#[must_use]pub fn move_mask(self) -> i32[src]

#[must_use]pub fn any(self) -> bool[src]

#[must_use]pub fn all(self) -> bool[src]

#[must_use]pub fn none(self) -> bool[src]

#[must_use]pub fn exp(self) -> f32x8[src]

Calculate the exponent of a packed f32x8

pub fn sign_bit(self) -> f32x8[src]

pub fn reduce_add(self) -> f32[src]

#[must_use]pub fn ln(self) -> f32x8[src]

Natural log (ln(x))

#[must_use]pub fn log2(self) -> f32x8[src]

#[must_use]pub fn log10(self) -> f32x8[src]

#[must_use]pub fn pow_f32x8(self, y: f32x8) -> f32x8[src]

pub fn powf(self, y: f32) -> f32x8[src]

impl f32x8[src]

#[must_use]pub fn splat(elem: f32) -> f32x8[src]

Trait Implementations

impl<'_> Add<&'_ f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the + operator.

impl Add<f32> for f32x8[src]

type Output = f32x8

The resulting type after applying the + operator.

impl Add<f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the + operator.

impl<'_> AddAssign<&'_ f32x8> for f32x8[src]

impl AddAssign<f32x8> for f32x8[src]

impl Binary for f32x8[src]

impl<'_> BitAnd<&'_ f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the & operator.

impl BitAnd<f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the & operator.

impl<'_> BitAndAssign<&'_ f32x8> for f32x8[src]

impl BitAndAssign<f32x8> for f32x8[src]

impl<'_> BitOr<&'_ f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the | operator.

impl BitOr<f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the | operator.

impl<'_> BitOrAssign<&'_ f32x8> for f32x8[src]

impl BitOrAssign<f32x8> for f32x8[src]

impl<'_> BitXor<&'_ f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the ^ operator.

impl BitXor<f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the ^ operator.

impl<'_> BitXorAssign<&'_ f32x8> for f32x8[src]

impl BitXorAssign<f32x8> for f32x8[src]

impl Clone for f32x8[src]

impl CmpEq<f32> for f32x8[src]

type Output = f32x8

impl CmpEq<f32x8> for f32x8[src]

type Output = f32x8

impl CmpGe<f32> for f32x8[src]

type Output = f32x8

impl CmpGe<f32x8> for f32x8[src]

type Output = f32x8

impl CmpGt<f32> for f32x8[src]

type Output = f32x8

impl CmpGt<f32x8> for f32x8[src]

type Output = f32x8

impl CmpLe<f32> for f32x8[src]

type Output = f32x8

impl CmpLe<f32x8> for f32x8[src]

type Output = f32x8

impl CmpLt<f32> for f32x8[src]

type Output = f32x8

impl CmpLt<f32x8> for f32x8[src]

type Output = f32x8

impl CmpNe<f32> for f32x8[src]

type Output = f32x8

impl CmpNe<f32x8> for f32x8[src]

type Output = f32x8

impl Copy for f32x8[src]

impl Debug for f32x8[src]

impl Default for f32x8[src]

impl Display for f32x8[src]

impl<'_> Div<&'_ f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the / operator.

impl Div<f32> for f32x8[src]

type Output = f32x8

The resulting type after applying the / operator.

impl Div<f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the / operator.

impl Div<f32x8> for Bivec2x8[src]

type Output = Bivec2x8

The resulting type after applying the / operator.

impl Div<f32x8> for Bivec3x8[src]

type Output = Bivec3x8

The resulting type after applying the / operator.

impl Div<f32x8> for Rotor2x8[src]

type Output = Self

The resulting type after applying the / operator.

impl Div<f32x8> for Rotor3x8[src]

type Output = Self

The resulting type after applying the / operator.

impl Div<f32x8> for Vec2x8[src]

type Output = Vec2x8

The resulting type after applying the / operator.

impl Div<f32x8> for Vec3x8[src]

type Output = Vec3x8

The resulting type after applying the / operator.

impl Div<f32x8> for Vec4x8[src]

type Output = Vec4x8

The resulting type after applying the / operator.

impl<'_> DivAssign<&'_ f32x8> for f32x8[src]

impl DivAssign<f32x8> for f32x8[src]

impl DivAssign<f32x8> for Bivec2x8[src]

impl DivAssign<f32x8> for Bivec3x8[src]

impl DivAssign<f32x8> for Rotor2x8[src]

impl DivAssign<f32x8> for Rotor3x8[src]

impl DivAssign<f32x8> for Vec2x8[src]

impl DivAssign<f32x8> for Vec3x8[src]

impl DivAssign<f32x8> for Vec4x8[src]

impl<'_> From<&'_ [f32]> for f32x8[src]

impl From<[f32; 8]> for f32x8[src]

impl From<f32> for f32x8[src]

#[must_use]pub fn from(elem: f32) -> f32x8[src]

Splats the single value given across all lanes.

impl Lerp<f32x8> for f32x8[src]

fn lerp(&self, end: Self, t: f32x8) -> Self[src]

Linearly interpolate between self and end by t between 0.0 and 1.0. i.e. (1.0 - t) * self + (t) * end.

For interpolating Rotors with linear interpolation, you almost certainly want to normalize the returned Rotor. For example,

let interpolated_rotor = rotor1.lerp(rotor2, 0.5).normalized();

For most cases (especially where performance is the primary concern, like in animation interpolation for games, this ‘normalized lerp’ or ‘nlerp’ is probably what you want to use. However, there are situations in which you really want the interpolation between two Rotors to be of constant angular velocity. In this case, check out Slerp.

impl Lerp<f32x8> for Vec2x8[src]

fn lerp(&self, end: Self, t: f32x8) -> Self[src]

Linearly interpolate between self and end by t between 0.0 and 1.0. i.e. (1.0 - t) * self + (t) * end.

For interpolating Rotors with linear interpolation, you almost certainly want to normalize the returned Rotor. For example,

let interpolated_rotor = rotor1.lerp(rotor2, 0.5).normalized();

For most cases (especially where performance is the primary concern, like in animation interpolation for games, this ‘normalized lerp’ or ‘nlerp’ is probably what you want to use. However, there are situations in which you really want the interpolation between two Rotors to be of constant angular velocity. In this case, check out Slerp.

impl Lerp<f32x8> for Vec3x8[src]

fn lerp(&self, end: Self, t: f32x8) -> Self[src]

Linearly interpolate between self and end by t between 0.0 and 1.0. i.e. (1.0 - t) * self + (t) * end.

For interpolating Rotors with linear interpolation, you almost certainly want to normalize the returned Rotor. For example,

let interpolated_rotor = rotor1.lerp(rotor2, 0.5).normalized();

For most cases (especially where performance is the primary concern, like in animation interpolation for games, this ‘normalized lerp’ or ‘nlerp’ is probably what you want to use. However, there are situations in which you really want the interpolation between two Rotors to be of constant angular velocity. In this case, check out Slerp.

impl Lerp<f32x8> for Vec4x8[src]

fn lerp(&self, end: Self, t: f32x8) -> Self[src]

Linearly interpolate between self and end by t between 0.0 and 1.0. i.e. (1.0 - t) * self + (t) * end.

For interpolating Rotors with linear interpolation, you almost certainly want to normalize the returned Rotor. For example,

let interpolated_rotor = rotor1.lerp(rotor2, 0.5).normalized();

For most cases (especially where performance is the primary concern, like in animation interpolation for games, this ‘normalized lerp’ or ‘nlerp’ is probably what you want to use. However, there are situations in which you really want the interpolation between two Rotors to be of constant angular velocity. In this case, check out Slerp.

impl Lerp<f32x8> for Bivec2x8[src]

fn lerp(&self, end: Self, t: f32x8) -> Self[src]

Linearly interpolate between self and end by t between 0.0 and 1.0. i.e. (1.0 - t) * self + (t) * end.

For interpolating Rotors with linear interpolation, you almost certainly want to normalize the returned Rotor. For example,

let interpolated_rotor = rotor1.lerp(rotor2, 0.5).normalized();

For most cases (especially where performance is the primary concern, like in animation interpolation for games, this ‘normalized lerp’ or ‘nlerp’ is probably what you want to use. However, there are situations in which you really want the interpolation between two Rotors to be of constant angular velocity. In this case, check out Slerp.

impl Lerp<f32x8> for Bivec3x8[src]

fn lerp(&self, end: Self, t: f32x8) -> Self[src]

Linearly interpolate between self and end by t between 0.0 and 1.0. i.e. (1.0 - t) * self + (t) * end.

For interpolating Rotors with linear interpolation, you almost certainly want to normalize the returned Rotor. For example,

let interpolated_rotor = rotor1.lerp(rotor2, 0.5).normalized();

For most cases (especially where performance is the primary concern, like in animation interpolation for games, this ‘normalized lerp’ or ‘nlerp’ is probably what you want to use. However, there are situations in which you really want the interpolation between two Rotors to be of constant angular velocity. In this case, check out Slerp.

impl Lerp<f32x8> for Rotor2x8[src]

fn lerp(&self, end: Self, t: f32x8) -> Self[src]

Linearly interpolate between self and end by t between 0.0 and 1.0. i.e. (1.0 - t) * self + (t) * end.

For interpolating Rotors with linear interpolation, you almost certainly want to normalize the returned Rotor. For example,

let interpolated_rotor = rotor1.lerp(rotor2, 0.5).normalized();

For most cases (especially where performance is the primary concern, like in animation interpolation for games, this ‘normalized lerp’ or ‘nlerp’ is probably what you want to use. However, there are situations in which you really want the interpolation between two Rotors to be of constant angular velocity. In this case, check out Slerp.

impl Lerp<f32x8> for Rotor3x8[src]

fn lerp(&self, end: Self, t: f32x8) -> Self[src]

Linearly interpolate between self and end by t between 0.0 and 1.0. i.e. (1.0 - t) * self + (t) * end.

For interpolating Rotors with linear interpolation, you almost certainly want to normalize the returned Rotor. For example,

let interpolated_rotor = rotor1.lerp(rotor2, 0.5).normalized();

For most cases (especially where performance is the primary concern, like in animation interpolation for games, this ‘normalized lerp’ or ‘nlerp’ is probably what you want to use. However, there are situations in which you really want the interpolation between two Rotors to be of constant angular velocity. In this case, check out Slerp.

impl LowerExp for f32x8[src]

impl LowerHex for f32x8[src]

impl<'_> Mul<&'_ f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the * operator.

impl Mul<Bivec2x8> for f32x8[src]

type Output = Bivec2x8

The resulting type after applying the * operator.

impl Mul<Bivec3x8> for f32x8[src]

type Output = Bivec3x8

The resulting type after applying the * operator.

impl Mul<Mat2x8> for f32x8[src]

type Output = Mat2x8

The resulting type after applying the * operator.

impl Mul<Mat3x8> for f32x8[src]

type Output = Mat3x8

The resulting type after applying the * operator.

impl Mul<Mat4x8> for f32x8[src]

type Output = Mat4x8

The resulting type after applying the * operator.

impl Mul<Rotor2x8> for f32x8[src]

type Output = Rotor2x8

The resulting type after applying the * operator.

impl Mul<Rotor3x8> for f32x8[src]

type Output = Rotor3x8

The resulting type after applying the * operator.

impl Mul<Vec2x8> for f32x8[src]

type Output = Vec2x8

The resulting type after applying the * operator.

impl Mul<Vec3x8> for f32x8[src]

type Output = Vec3x8

The resulting type after applying the * operator.

impl Mul<Vec4x8> for f32x8[src]

type Output = Vec4x8

The resulting type after applying the * operator.

impl Mul<f32> for f32x8[src]

type Output = f32x8

The resulting type after applying the * operator.

impl Mul<f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the * operator.

impl Mul<f32x8> for Bivec2x8[src]

type Output = Self

The resulting type after applying the * operator.

impl Mul<f32x8> for Similarity2x8[src]

type Output = Self

The resulting type after applying the * operator.

impl Mul<f32x8> for Similarity3x8[src]

type Output = Self

The resulting type after applying the * operator.

impl Mul<f32x8> for Vec2x8[src]

type Output = Vec2x8

The resulting type after applying the * operator.

impl Mul<f32x8> for Vec3x8[src]

type Output = Vec3x8

The resulting type after applying the * operator.

impl Mul<f32x8> for Vec4x8[src]

type Output = Vec4x8

The resulting type after applying the * operator.

impl Mul<f32x8> for Bivec3x8[src]

type Output = Self

The resulting type after applying the * operator.

impl Mul<f32x8> for Mat2x8[src]

type Output = Mat2x8

The resulting type after applying the * operator.

impl Mul<f32x8> for Mat3x8[src]

type Output = Mat3x8

The resulting type after applying the * operator.

impl Mul<f32x8> for Mat4x8[src]

type Output = Mat4x8

The resulting type after applying the * operator.

impl Mul<f32x8> for Rotor2x8[src]

type Output = Self

The resulting type after applying the * operator.

impl Mul<f32x8> for Rotor3x8[src]

type Output = Self

The resulting type after applying the * operator.

impl Mul<f32x8> for Isometry2x8[src]

type Output = Self

The resulting type after applying the * operator.

impl Mul<f32x8> for Isometry3x8[src]

type Output = Self

The resulting type after applying the * operator.

impl<'_> MulAssign<&'_ f32x8> for f32x8[src]

impl MulAssign<f32x8> for f32x8[src]

impl MulAssign<f32x8> for Bivec2x8[src]

impl MulAssign<f32x8> for Bivec3x8[src]

impl MulAssign<f32x8> for Rotor2x8[src]

impl MulAssign<f32x8> for Rotor3x8[src]

impl MulAssign<f32x8> for Vec2x8[src]

impl MulAssign<f32x8> for Vec3x8[src]

impl MulAssign<f32x8> for Vec4x8[src]

impl<'_> Neg for &'_ f32x8[src]

type Output = f32x8

The resulting type after applying the - operator.

impl Neg for f32x8[src]

type Output = f32x8

The resulting type after applying the - operator.

impl Not for f32x8[src]

type Output = f32x8

The resulting type after applying the ! operator.

impl Octal for f32x8[src]

impl PartialEq<f32x8> for f32x8[src]

impl Pod for f32x8[src]

impl<RHS> Product<RHS> for f32x8 where
    f32x8: MulAssign<RHS>, 
[src]

impl Slerp<f32x8> for Rotor3x8[src]

fn slerp(&self, end: Self, t: f32x8) -> Self[src]

Spherical-linear interpolation between self and end based on t from 0.0 to 1.0.

self and end should both be normalized or something bad will happen!

The implementation for SIMD types also requires that the two things being interpolated between are not exactly aligned, or else the result is undefined.

Basically, interpolation that maintains a constant angular velocity from one orientation on a unit hypersphere to another. This is sorta the “high quality” interpolation for Rotors, and it can also be used to interpolate other things, one example being interpolation of 3d normal vectors.

Note that you should often normalize the result returned by this operation, when working with Rotors, etc!

impl Slerp<f32x8> for Vec2x8[src]

fn slerp(&self, end: Self, t: f32x8) -> Self[src]

Spherical-linear interpolation between self and end based on t from 0.0 to 1.0.

self and end should both be normalized or something bad will happen!

The implementation for SIMD types also requires that the two things being interpolated between are not exactly aligned, or else the result is undefined.

Basically, interpolation that maintains a constant angular velocity from one orientation on a unit hypersphere to another. This is sorta the “high quality” interpolation for Rotors, and it can also be used to interpolate other things, one example being interpolation of 3d normal vectors.

Note that you should often normalize the result returned by this operation, when working with Rotors, etc!

impl Slerp<f32x8> for Vec3x8[src]

fn slerp(&self, end: Self, t: f32x8) -> Self[src]

Spherical-linear interpolation between self and end based on t from 0.0 to 1.0.

self and end should both be normalized or something bad will happen!

The implementation for SIMD types also requires that the two things being interpolated between are not exactly aligned, or else the result is undefined.

Basically, interpolation that maintains a constant angular velocity from one orientation on a unit hypersphere to another. This is sorta the “high quality” interpolation for Rotors, and it can also be used to interpolate other things, one example being interpolation of 3d normal vectors.

Note that you should often normalize the result returned by this operation, when working with Rotors, etc!

impl Slerp<f32x8> for Vec4x8[src]

fn slerp(&self, end: Self, t: f32x8) -> Self[src]

Spherical-linear interpolation between self and end based on t from 0.0 to 1.0.

self and end should both be normalized or something bad will happen!

The implementation for SIMD types also requires that the two things being interpolated between are not exactly aligned, or else the result is undefined.

Basically, interpolation that maintains a constant angular velocity from one orientation on a unit hypersphere to another. This is sorta the “high quality” interpolation for Rotors, and it can also be used to interpolate other things, one example being interpolation of 3d normal vectors.

Note that you should often normalize the result returned by this operation, when working with Rotors, etc!

impl Slerp<f32x8> for Bivec2x8[src]

fn slerp(&self, end: Self, t: f32x8) -> Self[src]

Spherical-linear interpolation between self and end based on t from 0.0 to 1.0.

self and end should both be normalized or something bad will happen!

The implementation for SIMD types also requires that the two things being interpolated between are not exactly aligned, or else the result is undefined.

Basically, interpolation that maintains a constant angular velocity from one orientation on a unit hypersphere to another. This is sorta the “high quality” interpolation for Rotors, and it can also be used to interpolate other things, one example being interpolation of 3d normal vectors.

Note that you should often normalize the result returned by this operation, when working with Rotors, etc!

impl Slerp<f32x8> for Bivec3x8[src]

fn slerp(&self, end: Self, t: f32x8) -> Self[src]

Spherical-linear interpolation between self and end based on t from 0.0 to 1.0.

self and end should both be normalized or something bad will happen!

The implementation for SIMD types also requires that the two things being interpolated between are not exactly aligned, or else the result is undefined.

Basically, interpolation that maintains a constant angular velocity from one orientation on a unit hypersphere to another. This is sorta the “high quality” interpolation for Rotors, and it can also be used to interpolate other things, one example being interpolation of 3d normal vectors.

Note that you should often normalize the result returned by this operation, when working with Rotors, etc!

impl Slerp<f32x8> for Rotor2x8[src]

fn slerp(&self, end: Self, t: f32x8) -> Self[src]

Spherical-linear interpolation between self and end based on t from 0.0 to 1.0.

self and end should both be normalized or something bad will happen!

The implementation for SIMD types also requires that the two things being interpolated between are not exactly aligned, or else the result is undefined.

Basically, interpolation that maintains a constant angular velocity from one orientation on a unit hypersphere to another. This is sorta the “high quality” interpolation for Rotors, and it can also be used to interpolate other things, one example being interpolation of 3d normal vectors.

Note that you should often normalize the result returned by this operation, when working with Rotors, etc!

impl StructuralPartialEq for f32x8[src]

impl<'_> Sub<&'_ f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the - operator.

impl Sub<f32> for f32x8[src]

type Output = f32x8

The resulting type after applying the - operator.

impl Sub<f32x8> for f32x8[src]

type Output = f32x8

The resulting type after applying the - operator.

impl<'_> SubAssign<&'_ f32x8> for f32x8[src]

impl SubAssign<f32x8> for f32x8[src]

impl UpperExp for f32x8[src]

impl UpperHex for f32x8[src]

impl Zeroable for f32x8[src]

Auto Trait Implementations

impl RefUnwindSafe for f32x8

impl Send for f32x8

impl Sync for f32x8

impl Unpin for f32x8

impl UnwindSafe for f32x8

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized
[src]

impl<T> Borrow<T> for T where
    T: ?Sized
[src]

impl<T> BorrowMut<T> for T where
    T: ?Sized
[src]

impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, 
[src]

impl<T> ToOwned for T where
    T: Clone
[src]

type Owned = T

The resulting type after obtaining ownership.

impl<T> ToString for T where
    T: Display + ?Sized
[src]

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
[src]

type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
[src]

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.