exp.rs: factorial(): use precomputed factorial array
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@ -11,6 +11,47 @@ use crate::{
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use crate::num::Zero;
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/// Precomputed factorials for integers in range `0..=34`.
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/// Note: `35!` does not fit into 128 bits.
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// TODO: find a better place for this array?
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const FACTORIAL: [u128; 35] = [
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1,
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1,
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2,
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6,
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24,
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120,
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720,
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5040,
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40320,
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362880,
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3628800,
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39916800,
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479001600,
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6227020800,
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87178291200,
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1307674368000,
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20922789888000,
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355687428096000,
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6402373705728000,
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121645100408832000,
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2432902008176640000,
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51090942171709440000,
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1124000727777607680000,
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25852016738884976640000,
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620448401733239439360000,
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15511210043330985984000000,
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403291461126605635584000000,
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10888869450418352160768000000,
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304888344611713860501504000000,
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8841761993739701954543616000000,
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265252859812191058636308480000000,
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8222838654177922817725562880000000,
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263130836933693530167218012160000000,
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8683317618811886495518194401280000000,
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295232799039604140847618609643520000000,
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];
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// https://github.com/scipy/scipy/blob/c1372d8aa90a73d8a52f135529293ff4edb98fc8/scipy/sparse/linalg/matfuncs.py
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struct ExpmPadeHelper<T, D>
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where
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@ -321,8 +362,8 @@ where
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self.calc_a2();
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self.calc_a4();
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self.calc_a6();
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let mb2 = self.a2.as_ref().unwrap() * convert::<f64, T>(2.0_f64.powf(-2.0 * s.clone()));
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let mb4 = self.a4.as_ref().unwrap() * convert::<f64, T>(2.0.powf(-4.0 * s.clone()));
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let mb2 = self.a2.as_ref().unwrap() * convert::<f64, T>(2.0_f64.powf(-2.0 * s));
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let mb4 = self.a4.as_ref().unwrap() * convert::<f64, T>(2.0.powf(-4.0 * s));
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let mb6 = self.a6.as_ref().unwrap() * convert::<f64, T>(2.0.powf(-6.0 * s));
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let u2 = &mb6 * (&mb6 * b[13].clone() + &mb4 * b[11].clone() + &mb2 * b[9].clone());
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@ -342,15 +383,17 @@ where
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}
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}
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fn factorial(n: u128) -> u128 {
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if n == 1 {
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return 1;
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/// Compute `n!`
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#[inline(always)]
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fn factorial(n: usize) -> u128 {
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match FACTORIAL.get(n) {
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Some(f) => *f,
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None => panic!("{}! is greater than u128::MAX", n),
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}
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n * factorial(n - 1)
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}
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/// Compute the 1-norm of a non-negative integer power of a non-negative matrix.
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fn onenorm_matrix_power_nonm<T, D>(a: &OMatrix<T, D, D>, p: u64) -> T
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fn onenorm_matrix_power_nonm<T, D>(a: &OMatrix<T, D, D>, p: usize) -> T
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where
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T: RealField,
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D: Dim,
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@ -367,7 +410,7 @@ where
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v.max()
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}
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fn ell<T, D>(a: &OMatrix<T, D, D>, m: u64) -> u64
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fn ell<T, D>(a: &OMatrix<T, D, D>, m: usize) -> u64
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where
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T: ComplexField,
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D: Dim,
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@ -376,8 +419,6 @@ where
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+ Allocator<T::RealField, D>
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+ Allocator<T::RealField, D, D>,
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{
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// 2m choose m = (2m)!/(m! * (2m-m)!)
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let a_abs = a.map(|x| x.abs());
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let a_abs_onenorm = onenorm_matrix_power_nonm(&a_abs, 2 * m + 1);
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@ -386,9 +427,11 @@ where
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return 0;
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}
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let choose_2m_m =
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factorial(2 * m as u128) / (factorial(m as u128) * factorial(2 * m as u128 - m as u128));
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let abs_c_recip = choose_2m_m * factorial(2 * m as u128 + 1);
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// 2m choose m = (2m)!/(m! * (2m-m)!) = (2m)!/((m!)^2)
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let m_factorial = factorial(m);
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let choose_2m_m = factorial(2 * m) / (m_factorial * m_factorial);
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let abs_c_recip = choose_2m_m * factorial(2 * m + 1);
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let alpha = a_abs_onenorm / one_norm(a);
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let alpha: f64 = try_convert(alpha).unwrap() / abs_c_recip as f64;
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