forked from M-Labs/nalgebra
35 lines
1.2 KiB
Rust
35 lines
1.2 KiB
Rust
use na::{Scalar, Real, DefaultAllocator};
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use traits::{Alloc, Dimension, Number};
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use aliases::{TMat, TVec};
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/// The determinant of the matrix `m`.
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pub fn determinant<N: Real, D: Dimension>(m: &TMat<N, D, D>) -> N
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where DefaultAllocator: Alloc<N, D, D> {
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m.determinant()
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}
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/// The inverse of the matrix `m`.
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pub fn inverse<N: Real, D: Dimension>(m: &TMat<N, D, D>) -> TMat<N, D, D>
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where DefaultAllocator: Alloc<N, D, D> {
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m.clone().try_inverse().unwrap_or_else(TMat::<N, D, D>::zeros)
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}
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/// Component-wise multiplication of two matrices.
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pub fn matrix_comp_mult<N: Number, R: Dimension, C: Dimension>(x: &TMat<N, R, C>, y: &TMat<N, R, C>) -> TMat<N, R, C>
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where DefaultAllocator: Alloc<N, R, C> {
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x.component_mul(y)
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}
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/// Treats the first parameter `c` as a column vector and the second parameter `r` as a row vector and does a linear algebraic matrix multiply `c * r`.
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pub fn outer_product<N: Number, R: Dimension, C: Dimension>(c: &TVec<N, R>, r: &TVec<N, C>) -> TMat<N, R, C>
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where DefaultAllocator: Alloc<N, R, C> {
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c * r.transpose()
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}
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/// The transpose of the matrix `m`.
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pub fn transpose<N: Scalar, R: Dimension, C: Dimension>(x: &TMat<N, R, C>) -> TMat<N, C, R>
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where DefaultAllocator: Alloc<N, R, C> {
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x.transpose()
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}
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