forked from M-Labs/nalgebra
Pub use of exp in the linalg module
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@ -1,3 +1,5 @@
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//! This module provides the matrix exponent (exp) function to square matrices.
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//!
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use crate::{
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use crate::{
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base::{
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base::{
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allocator::Allocator,
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allocator::Allocator,
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@ -403,14 +405,14 @@ where
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DefaultAllocator:
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DefaultAllocator:
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Allocator<N, R, R> + Allocator<(usize, usize), DimMinimum<R, R>> + Allocator<N, R>,
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Allocator<N, R, R> + Allocator<(usize, usize), DimMinimum<R, R>> + Allocator<N, R>,
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{
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{
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/// Computes exp of this matrix
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/// Computes exponential of this matrix
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pub fn exp(&self) -> Self {
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pub fn exp(&self) -> Self {
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// Simple case
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// Simple case
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if self.nrows() == 1 {
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if self.nrows() == 1 {
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return self.clone().map(|v| v.exp());
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return self.clone().map(|v| v.exp());
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}
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}
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let mut h = ExpmPadeHelper::new(self.clone(), false);
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let mut h = ExpmPadeHelper::new(self.clone(), true);
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let eta_1 = N::max(h.d4_loose(), h.d6_loose());
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let eta_1 = N::max(h.d4_loose(), h.d6_loose());
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if eta_1 < N::from_f64(1.495585217958292e-002).unwrap() && ell(&h.a, 3) == 0 {
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if eta_1 < N::from_f64(1.495585217958292e-002).unwrap() && ell(&h.a, 3) == 0 {
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@ -27,6 +27,7 @@ mod symmetric_tridiagonal;
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pub use self::bidiagonal::*;
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pub use self::bidiagonal::*;
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pub use self::cholesky::*;
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pub use self::cholesky::*;
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pub use self::convolution::*;
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pub use self::convolution::*;
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pub use self::exp::*;
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pub use self::full_piv_lu::*;
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pub use self::full_piv_lu::*;
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pub use self::hessenberg::*;
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pub use self::hessenberg::*;
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pub use self::lu::*;
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pub use self::lu::*;
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