Factor out the kaleidocycle realization

This parallels what we did for the Irisawa hexlet realization. The
kaleidocycle tangent test comes out slightly weaker, because we no
longer confirm that the realized configuration matches the initial
guess. However, we still confirm that the configuration history only has
one entry, which is equivalent as long as the configuration history
starts with the initial guess and is updated after every optimization
step.
This commit is contained in:
Aaron Fenyes 2025-02-28 00:33:35 -08:00
parent 9283858a41
commit 55ccfb9ebc
3 changed files with 76 additions and 110 deletions

View file

@ -1,4 +1,4 @@
use dyna3::engine::{Q, irisawa::realize_irisawa_hexlet};
use dyna3::engine::{Q, examples::realize_irisawa_hexlet};
fn main() {
const SCALED_TOL: f64 = 1.0e-12;

View file

@ -1,53 +1,10 @@
use nalgebra::{DMatrix, DVector};
use std::{array, f64::consts::PI};
use dyna3::engine::{Q, point, realize_gram, PartialMatrix};
use dyna3::engine::{Q, examples::realize_kaleidocycle};
fn main() {
// set up a kaleidocycle, made of points with fixed distances between them,
// and find its tangent space
const N_POINTS: usize = 12;
let gram = {
let mut gram_to_be = PartialMatrix::new();
for block in (0..N_POINTS).step_by(2) {
let block_next = (block + 2) % N_POINTS;
for j in 0..2 {
// diagonal and hinge edges
for k in j..2 {
gram_to_be.push_sym(block + j, block + k, if j == k { 0.0 } else { -0.5 });
}
// non-hinge edges
for k in 0..2 {
gram_to_be.push_sym(block + j, block_next + k, -0.625);
}
}
}
gram_to_be
};
let guess = {
const N_HINGES: usize = 6;
let guess_elts = (0..N_HINGES).step_by(2).flat_map(
|n| {
let ang_hor = (n as f64) * PI/3.0;
let ang_vert = ((n + 1) as f64) * PI/3.0;
let x_vert = ang_vert.cos();
let y_vert = ang_vert.sin();
[
point(0.0, 0.0, 0.0),
point(ang_hor.cos(), ang_hor.sin(), 0.0),
point(x_vert, y_vert, -0.5),
point(x_vert, y_vert, 0.5)
]
}
).collect::<Vec<_>>();
DMatrix::from_columns(&guess_elts)
};
let frozen: [_; N_POINTS] = array::from_fn(|k| (3, k));
let (config, tangent, success, history) = realize_gram(
&gram, guess, &frozen,
1.0e-12, 0.5, 0.9, 1.1, 200, 110
);
const SCALED_TOL: f64 = 1.0e-12;
let (config, tangent, success, history) = realize_kaleidocycle(SCALED_TOL);
print!("Completed Gram matrix:{}", config.tr_mul(&*Q) * &config);
print!("Configuration:{}", config);
if success {
@ -58,7 +15,8 @@ fn main() {
println!("Steps: {}", history.scaled_loss.len() - 1);
println!("Loss: {}\n", history.scaled_loss.last().unwrap());
// find the kaleidocycle's twist motion
// find the kaleidocycle's twist motion by projecting onto the tangent space
const N_POINTS: usize = 12;
let up = DVector::from_column_slice(&[0.0, 0.0, 1.0, 0.0]);
let down = -&up;
let twist_motion: DMatrix<_> = (0..N_POINTS).step_by(4).flat_map(

View file

@ -413,20 +413,20 @@ pub fn realize_gram(
// --- tests ---
// this problem is from a sangaku by Irisawa Shintarō Hiroatsu. the article
// below includes a nice translation of the problem statement, which was
// recorded in Uchida Itsumi's book _Kokon sankan_ (_Mathematics, Past and
// Present_)
//
// "Japan's 'Wasan' Mathematical Tradition", by Abe Haruki
// https://www.nippon.com/en/japan-topics/c12801/
//
#[cfg(feature = "dev")]
pub mod irisawa {
pub mod examples {
use std::{array, f64::consts::PI};
use super::*;
// this problem is from a sangaku by Irisawa Shintarō Hiroatsu. the article
// below includes a nice translation of the problem statement, which was
// recorded in Uchida Itsumi's book _Kokon sankan_ (_Mathematics, Past and
// Present_)
//
// "Japan's 'Wasan' Mathematical Tradition", by Abe Haruki
// https://www.nippon.com/en/japan-topics/c12801/
//
pub fn realize_irisawa_hexlet(scaled_tol: f64) -> (DMatrix<f64>, ConfigSubspace, bool, DescentHistory) {
let gram = {
let mut gram_to_be = PartialMatrix::new();
@ -480,14 +480,64 @@ pub mod irisawa {
scaled_tol, 0.5, 0.9, 1.1, 200, 110
)
}
// set up a kaleidocycle, made of points with fixed distances between them,
// and find its tangent space
pub fn realize_kaleidocycle(scaled_tol: f64) -> (DMatrix<f64>, ConfigSubspace, bool, DescentHistory) {
const N_POINTS: usize = 12;
let gram = {
let mut gram_to_be = PartialMatrix::new();
for block in (0..N_POINTS).step_by(2) {
let block_next = (block + 2) % N_POINTS;
for j in 0..2 {
// diagonal and hinge edges
for k in j..2 {
gram_to_be.push_sym(block + j, block + k, if j == k { 0.0 } else { -0.5 });
}
// non-hinge edges
for k in 0..2 {
gram_to_be.push_sym(block + j, block_next + k, -0.625);
}
}
}
gram_to_be
};
let guess = {
const N_HINGES: usize = 6;
let guess_elts = (0..N_HINGES).step_by(2).flat_map(
|n| {
let ang_hor = (n as f64) * PI/3.0;
let ang_vert = ((n + 1) as f64) * PI/3.0;
let x_vert = ang_vert.cos();
let y_vert = ang_vert.sin();
[
point(0.0, 0.0, 0.0),
point(ang_hor.cos(), ang_hor.sin(), 0.0),
point(x_vert, y_vert, -0.5),
point(x_vert, y_vert, 0.5)
]
}
).collect::<Vec<_>>();
DMatrix::from_columns(&guess_elts)
};
let frozen: [_; N_POINTS] = array::from_fn(|k| (3, k));
realize_gram(
&gram, guess, &frozen,
scaled_tol, 0.5, 0.9, 1.1, 200, 110
)
}
}
#[cfg(test)]
mod tests {
use nalgebra::Vector3;
use std::{array, f64::consts::{FRAC_1_SQRT_2, PI}, iter};
use std::{f64::consts::{FRAC_1_SQRT_2, PI}, iter};
use super::{*, irisawa::realize_irisawa_hexlet};
use super::{*, examples::*};
#[test]
fn sub_proj_test() {
@ -671,59 +721,17 @@ mod tests {
#[test]
fn tangent_test_kaleidocycle() {
// set up a kaleidocycle, made of points with fixed distances between
// them, and find its tangent space
const N_POINTS: usize = 12;
const N_HINGES: usize = 6;
// set up a kaleidocycle and find its tangent space
const SCALED_TOL: f64 = 1.0e-12;
let gram = {
let mut gram_to_be = PartialMatrix::new();
for block in (0..N_POINTS).step_by(2) {
let block_next = (block + 2) % N_POINTS;
for j in 0..2 {
// diagonal and hinge edges
for k in j..2 {
gram_to_be.push_sym(block + j, block + k, if j == k { 0.0 } else { -0.5 });
}
// non-hinge edges
for k in 0..2 {
gram_to_be.push_sym(block + j, block_next + k, -0.625);
}
}
}
gram_to_be
};
let guess = {
let guess_elts = (0..N_HINGES).step_by(2).flat_map(
|n| {
let ang_hor = (n as f64) * PI/3.0;
let ang_vert = ((n + 1) as f64) * PI/3.0;
let x_vert = ang_vert.cos();
let y_vert = ang_vert.sin();
[
point(0.0, 0.0, 0.0),
point(ang_hor.cos(), ang_hor.sin(), 0.0),
point(x_vert, y_vert, -0.5),
point(x_vert, y_vert, 0.5)
]
}
).collect::<Vec<_>>();
DMatrix::from_columns(&guess_elts)
};
let frozen: [_; N_POINTS] = array::from_fn(|k| (3, k));
let (config, tangent, success, history) = realize_gram(
&gram, guess.clone(), &frozen,
SCALED_TOL, 0.5, 0.9, 1.1, 200, 110
);
assert_eq!(config, guess);
let (config, tangent, success, history) = realize_kaleidocycle(SCALED_TOL);
assert_eq!(success, true);
assert_eq!(history.scaled_loss.len(), 1);
// list some motions that should form a basis for the tangent space of
// the solution variety
let element_dim = guess.nrows();
let assembly_dim = guess.ncols();
const N_HINGES: usize = 6;
let element_dim = config.nrows();
let assembly_dim = config.ncols();
let tangent_motions_unif = vec![
// the translations along the coordinate axes
translation_motion_unif(&Vector3::new(1.0, 0.0, 0.0), assembly_dim),
@ -731,9 +739,9 @@ mod tests {
translation_motion_unif(&Vector3::new(0.0, 0.0, 1.0), assembly_dim),
// the rotations about the coordinate axes
rotation_motion_unif(&Vector3::new(1.0, 0.0, 0.0), guess.column_iter().collect()),
rotation_motion_unif(&Vector3::new(0.0, 1.0, 0.0), guess.column_iter().collect()),
rotation_motion_unif(&Vector3::new(0.0, 0.0, 1.0), guess.column_iter().collect()),
rotation_motion_unif(&Vector3::new(1.0, 0.0, 0.0), config.column_iter().collect()),
rotation_motion_unif(&Vector3::new(0.0, 1.0, 0.0), config.column_iter().collect()),
rotation_motion_unif(&Vector3::new(0.0, 0.0, 1.0), config.column_iter().collect()),
// the twist motion. more precisely: a motion that keeps the center
// of mass stationary and preserves the distances between the
@ -758,7 +766,7 @@ mod tests {
];
let tangent_motions_std = tangent_motions_unif.iter().map(
|motion| DMatrix::from_columns(
&guess.column_iter().zip(motion).map(
&config.column_iter().zip(motion).map(
|(v, elt_motion)| local_unif_to_std(v) * elt_motion
).collect::<Vec<_>>()
)