Struct glam::f64::DMat2

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#[repr(C)]pub struct DMat2 {
    pub x_axis: DVec2,
    pub y_axis: DVec2,
}

Expand description

A 2x2 column major matrix.

Fields§

§x_axis: DVec2§y_axis: DVec2

Implementations§

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impl DMat2

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pub const ZERO: Self = _

A 2x2 matrix with all elements set to 0.0.

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pub const IDENTITY: Self = _

A 2x2 identity matrix, where all diagonal elements are 1, and all off-diagonal elements are 0.

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pub const NAN: Self = _

All NAN:s.

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pub const fn from_cols(x_axis: DVec2, y_axis: DVec2) -> Self

Creates a 2x2 matrix from two column vectors.

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pub const fn from_cols_array(m: &[f64; 4]) -> Self

Creates a 2x2 matrix from a [f64; 4] array stored in column major order. If your data is stored in row major you will need to transpose the returned matrix.

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pub const fn to_cols_array(&self) -> [f64; 4]

Creates a [f64; 4] array storing data in column major order. If you require data in row major order transpose the matrix first.

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pub const fn from_cols_array_2d(m: &[[f64; 2]; 2]) -> Self

Creates a 2x2 matrix from a [[f64; 2]; 2] 2D array stored in column major order. If your data is in row major order you will need to transpose the returned matrix.

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pub const fn to_cols_array_2d(&self) -> [[f64; 2]; 2]

Creates a [[f64; 2]; 2] 2D array storing data in column major order. If you require data in row major order transpose the matrix first.

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pub const fn from_diagonal(diagonal: DVec2) -> Self

Creates a 2x2 matrix with its diagonal set to diagonal and all other entries set to 0.

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pub fn from_scale_angle(scale: DVec2, angle: f64) -> Self

Creates a 2x2 matrix containing the combining non-uniform scale and rotation of angle (in radians).

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pub fn from_angle(angle: f64) -> Self

Creates a 2x2 matrix containing a rotation of angle (in radians).

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pub fn from_mat3(m: DMat3) -> Self

Creates a 2x2 matrix from a 3x3 matrix, discarding the 2nd row and column.

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pub fn from_mat3_minor(m: DMat3, i: usize, j: usize) -> Self

Creates a 2x2 matrix from the minor of the given 3x3 matrix, discarding the ith column and jth row.

Panics

Panics if i or j is greater than 2.

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pub const fn from_cols_slice(slice: &[f64]) -> Self

Creates a 2x2 matrix from the first 4 values in slice.

Panics

Panics if slice is less than 4 elements long.

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pub fn write_cols_to_slice(self, slice: &mut [f64])

Writes the columns of self to the first 4 elements in slice.

Panics

Panics if slice is less than 4 elements long.

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pub fn col(&self, index: usize) -> DVec2

Returns the matrix column for the given index.

Panics

Panics if index is greater than 1.

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pub fn col_mut(&mut self, index: usize) -> &mut DVec2

Returns a mutable reference to the matrix column for the given index.

Panics

Panics if index is greater than 1.

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pub fn row(&self, index: usize) -> DVec2

Returns the matrix row for the given index.

Panics

Panics if index is greater than 1.

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pub fn is_finite(&self) -> bool

Returns true if, and only if, all elements are finite. If any element is either NaN, positive or negative infinity, this will return false.

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pub fn is_nan(&self) -> bool

Returns true if any elements are NaN.

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pub fn transpose(&self) -> Self

Returns the transpose of self.

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pub fn determinant(&self) -> f64

Returns the determinant of self.

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pub fn inverse(&self) -> Self

Returns the inverse of self.

If the matrix is not invertible the returned matrix will be invalid.

Panics

Will panic if the determinant of self is zero when glam_assert is enabled.

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pub fn mul_vec2(&self, rhs: DVec2) -> DVec2

Transforms a 2D vector.

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pub fn mul_mat2(&self, rhs: &Self) -> Self

Multiplies two 2x2 matrices.

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pub fn add_mat2(&self, rhs: &Self) -> Self

Adds two 2x2 matrices.

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pub fn sub_mat2(&self, rhs: &Self) -> Self

Subtracts two 2x2 matrices.

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pub fn mul_scalar(&self, rhs: f64) -> Self

Multiplies a 2x2 matrix by a scalar.

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pub fn div_scalar(&self, rhs: f64) -> Self

Divides a 2x2 matrix by a scalar.

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pub fn abs_diff_eq(&self, rhs: Self, max_abs_diff: f64) -> bool

Returns true if the absolute difference of all elements between self and rhs is less than or equal to max_abs_diff.

This can be used to compare if two matrices contain similar elements. It works best when comparing with a known value. The max_abs_diff that should be used used depends on the values being compared against.

For more see comparing floating point numbers.

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