Switch to Euclidean-invariant projection onto tangent space of solution variety #34
72
app-proto/examples/kaleidocycle.rs
Normal file
72
app-proto/examples/kaleidocycle.rs
Normal file
@ -0,0 +1,72 @@
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use nalgebra::{DMatrix, DVector};
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use std::{array, f64::consts::PI};
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use dyna3::engine::{Q, point, realize_gram, PartialMatrix};
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fn main() {
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// set up a kaleidocycle, made of points with fixed distances between them,
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// and find its tangent space
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const N_POINTS: usize = 12;
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let gram = {
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let mut gram_to_be = PartialMatrix::new();
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for block in (0..N_POINTS).step_by(2) {
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let block_next = (block + 2) % N_POINTS;
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for j in 0..2 {
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// diagonal and hinge edges
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for k in j..2 {
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gram_to_be.push_sym(block + j, block + k, if j == k { 0.0 } else { -0.5 });
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}
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// non-hinge edges
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for k in 0..2 {
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gram_to_be.push_sym(block + j, block_next + k, -0.625);
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}
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}
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}
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gram_to_be
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};
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let guess = {
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const N_HINGES: usize = 6;
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let guess_elts = (0..N_HINGES).step_by(2).flat_map(
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|n| {
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let ang_hor = (n as f64) * PI/3.0;
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let ang_vert = ((n + 1) as f64) * PI/3.0;
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let x_vert = ang_vert.cos();
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let y_vert = ang_vert.sin();
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[
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point(0.0, 0.0, 0.0),
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point(ang_hor.cos(), ang_hor.sin(), 0.0),
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point(x_vert, y_vert, -0.5),
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point(x_vert, y_vert, 0.5)
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]
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}
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).collect::<Vec<_>>();
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DMatrix::from_columns(&guess_elts)
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};
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let frozen: [_; N_POINTS] = array::from_fn(|k| (3, k));
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let (config, tangent, success, history) = realize_gram(
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&gram, guess, &frozen,
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1.0e-12, 0.5, 0.9, 1.1, 200, 110
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);
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print!("Completed Gram matrix:{}", config.tr_mul(&*Q) * &config);
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print!("Configuration:{}", config);
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if success {
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println!("Target accuracy achieved!");
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} else {
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println!("Failed to reach target accuracy");
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}
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println!("Steps: {}", history.scaled_loss.len() - 1);
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println!("Loss: {}\n", history.scaled_loss.last().unwrap());
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// find the kaleidocycle's twist motion
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let up = DVector::from_column_slice(&[0.0, 0.0, 1.0, 0.0]);
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let down = -&up;
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let twist_motion: DMatrix<_> = (0..N_POINTS).step_by(4).flat_map(
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|n| [
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tangent.proj(&up.as_view(), n),
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tangent.proj(&down.as_view(), n+1)
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]
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).sum();
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let normalization = 5.0 / twist_motion[(2, 0)];
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print!("Twist motion:{}", normalization * twist_motion);
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}
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@ -9,3 +9,4 @@
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cargo run --example irisawa-hexlet
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cargo run --example three-spheres
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cargo run --example point-on-sphere
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cargo run --example kaleidocycle
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@ -5,7 +5,7 @@ use std::{collections::BTreeSet, sync::atomic::{AtomicU64, Ordering}};
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use sycamore::prelude::*;
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use web_sys::{console, wasm_bindgen::JsValue}; /* DEBUG */
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use crate::engine::{realize_gram, ConfigSubspace, PartialMatrix, Q};
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use crate::engine::{realize_gram, local_unif_to_std, ConfigSubspace, PartialMatrix, Q};
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// the types of the keys we use to access an assembly's elements and constraints
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pub type ElementKey = usize;
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@ -120,6 +120,7 @@ pub struct Constraint {
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pub active: Signal<bool>
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}
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// the velocity is expressed in uniform coordinates
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pub struct ElementMotion<'a> {
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pub key: ElementKey,
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pub velocity: DVectorView<'a, f64>
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@ -359,7 +360,14 @@ impl Assembly {
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// this element didn't have a column index when we started, so
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// by invariant (2), it's unconstrained
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let mut target_column = motion_proj.column_mut(column_index);
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target_column += elt_motion.velocity;
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let unif_to_std = self.elements.with_untracked(
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|elts| {
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elts[elt_motion.key].representation.with_untracked(
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|rep| local_unif_to_std(rep.as_view())
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)
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}
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);
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target_column += unif_to_std * elt_motion.velocity;
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}
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}
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@ -130,6 +130,8 @@ pub fn Display() -> View {
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let translate_pos_y = create_signal(0.0);
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let translate_neg_z = create_signal(0.0);
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let translate_pos_z = create_signal(0.0);
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let shrink_neg = create_signal(0.0);
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let shrink_pos = create_signal(0.0);
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// change listener
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let scene_changed = create_signal(true);
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@ -164,6 +166,7 @@ pub fn Display() -> View {
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// manipulation
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const TRANSLATION_SPEED: f64 = 0.15; // in length units per second
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const SHRINKING_SPEED: f64 = 0.15; // in length units per second
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// display parameters
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const OPACITY: f32 = 0.5; /* SCAFFOLDING */
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@ -292,6 +295,8 @@ pub fn Display() -> View {
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let translate_pos_y_val = translate_pos_y.get();
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let translate_neg_z_val = translate_neg_z.get();
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let translate_pos_z_val = translate_pos_z.get();
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let shrink_neg_val = shrink_neg.get();
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let shrink_pos_val = shrink_pos.get();
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// update the assembly's orientation
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let ang_vel = {
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@ -323,24 +328,27 @@ pub fn Display() -> View {
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let sel = state.selection.with(
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|sel| *sel.into_iter().next().unwrap()
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);
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let rep = state.assembly.elements.with_untracked(
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|elts| elts[sel].representation.get_clone_untracked()
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);
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let translate_x = translate_pos_x_val - translate_neg_x_val;
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let translate_y = translate_pos_y_val - translate_neg_y_val;
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let translate_z = translate_pos_z_val - translate_neg_z_val;
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if translate_x != 0.0 || translate_y != 0.0 || translate_z != 0.0 {
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let vel_field = {
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let u = Vector3::new(translate_x, translate_y, translate_z).normalize();
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DMatrix::from_column_slice(5, 5, &[
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0.0, 0.0, 0.0, 0.0, u[0],
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0.0, 0.0, 0.0, 0.0, u[1],
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0.0, 0.0, 0.0, 0.0, u[2],
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2.0*u[0], 2.0*u[1], 2.0*u[2], 0.0, 0.0,
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0.0, 0.0, 0.0, 0.0, 0.0
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])
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let shrink = shrink_pos_val - shrink_neg_val;
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let translating =
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translate_x != 0.0
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|| translate_y != 0.0
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|| translate_z != 0.0;
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if translating || shrink != 0.0 {
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let elt_motion = {
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let u = if translating {
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TRANSLATION_SPEED * Vector3::new(
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translate_x, translate_y, translate_z
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).normalize()
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} else {
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Vector3::zeros()
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};
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time_step * DVector::from_column_slice(
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&[u[0], u[1], u[2], SHRINKING_SPEED * shrink]
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)
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};
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let elt_motion: DVector<f64> = time_step * TRANSLATION_SPEED * vel_field * rep;
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assembly_for_raf.deform(
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vec![
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ElementMotion {
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@ -501,6 +509,8 @@ pub fn Display() -> View {
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"s" | "S" if shift => translate_pos_z.set(value),
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"w" | "W" => translate_pos_y.set(value),
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"s" | "S" => translate_neg_y.set(value),
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"]" | "}" => shrink_neg.set(value),
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"[" | "{" => shrink_pos.set(value),
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_ => manipulating = false
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};
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if manipulating {
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@ -90,32 +90,34 @@ impl PartialMatrix {
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#[derive(Clone)]
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pub struct ConfigSubspace {
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assembly_dim: usize,
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basis: Vec<DMatrix<f64>>
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basis_std: Vec<DMatrix<f64>>,
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basis_proj: Vec<DMatrix<f64>>
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}
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impl ConfigSubspace {
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pub fn zero(assembly_dim: usize) -> ConfigSubspace {
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ConfigSubspace {
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assembly_dim: assembly_dim,
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basis: Vec::new()
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basis_proj: Vec::new(),
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basis_std: Vec::new()
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}
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}
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// approximate the kernel of a symmetric endomorphism of the configuration
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// space for `assembly_dim` elements. we consider an eigenvector to be part
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// of the kernel if its eigenvalue is smaller than the constant `THRESHOLD`
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fn symmetric_kernel(a: DMatrix<f64>, assembly_dim: usize) -> ConfigSubspace {
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const ELEMENT_DIM: usize = 5;
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const THRESHOLD: f64 = 1.0e-4;
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let eig = SymmetricEigen::new(a);
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fn symmetric_kernel(a: DMatrix<f64>, proj_to_std: DMatrix<f64>, assembly_dim: usize) -> ConfigSubspace {
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// find a basis for the kernel. the basis is expressed in the projection
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// coordinates, and it's orthonormal with respect to the projection
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// inner product
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const THRESHOLD: f64 = 0.1;
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let eig = SymmetricEigen::new(proj_to_std.tr_mul(&a) * &proj_to_std);
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let eig_vecs = eig.eigenvectors.column_iter();
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let eig_pairs = eig.eigenvalues.iter().zip(eig_vecs);
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let basis = eig_pairs.filter_map(
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|(λ, v)| (λ.abs() < THRESHOLD).then_some(
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Into::<DMatrix<f64>>::into(
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v.reshape_generic(Dyn(ELEMENT_DIM), Dyn(assembly_dim))
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)
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)
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let basis_proj = DMatrix::from_columns(
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eig_pairs.filter_map(
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|(λ, v)| (λ.abs() < THRESHOLD).then_some(v)
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).collect::<Vec<_>>().as_slice()
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);
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/* DEBUG */
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@ -125,30 +127,51 @@ impl ConfigSubspace {
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format!("Eigenvalues used to find kernel:{}", eig.eigenvalues)
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));
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// express the basis in the standard coordinates
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let basis_std = proj_to_std * &basis_proj;
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// print the projection basis in projection coordinates
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#[cfg(all(target_family = "wasm", target_os = "unknown"))]
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console::log_1(&JsValue::from(
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format!("Basis in projection coordinates:{}", basis_proj)
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));
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const ELEMENT_DIM: usize = 5;
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const UNIFORM_DIM: usize = 4;
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ConfigSubspace {
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assembly_dim: assembly_dim,
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basis: basis.collect()
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basis_std: basis_std.column_iter().map(
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|v| Into::<DMatrix<f64>>::into(
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v.reshape_generic(Dyn(ELEMENT_DIM), Dyn(assembly_dim))
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)
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).collect(),
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basis_proj: basis_proj.column_iter().map(
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|v| Into::<DMatrix<f64>>::into(
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v.reshape_generic(Dyn(UNIFORM_DIM), Dyn(assembly_dim))
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)
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).collect()
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}
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}
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pub fn dim(&self) -> usize {
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self.basis.len()
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self.basis_std.len()
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}
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pub fn assembly_dim(&self) -> usize {
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self.assembly_dim
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}
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// find the projection onto this subspace, with respect to the Euclidean
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// inner product, of the motion where the element with the given column
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// index has velocity `v`
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// find the projection onto this subspace of the motion where the element
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// with the given column index has velocity `v`. the velocity is given in
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// projection coordinates, and the projection is done with respect to the
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// projection inner product
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pub fn proj(&self, v: &DVectorView<f64>, column_index: usize) -> DMatrix<f64> {
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if self.dim() == 0 {
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const ELEMENT_DIM: usize = 5;
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DMatrix::zeros(ELEMENT_DIM, self.assembly_dim)
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} else {
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self.basis.iter().map(
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|b| b.column(column_index).dot(&v) * b
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self.basis_proj.iter().zip(self.basis_std.iter()).map(
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|(b_proj, b_std)| b_proj.column(column_index).dot(&v) * b_std
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).sum()
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}
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}
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@ -215,6 +238,37 @@ fn basis_matrix(index: (usize, usize), nrows: usize, ncols: usize) -> DMatrix<f6
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result
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}
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// given a normalized vector `v` representing an element, build a basis for the
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// element's linear configuration space consisting of:
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// - the unit translation motions of the element
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// - the unit shrinking motion of the element, if it's a sphere
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// - one or two vectors whose coefficients vanish on the tangent space of the
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// normalization variety
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pub fn local_unif_to_std(v: DVectorView<f64>) -> DMatrix<f64> {
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const ELEMENT_DIM: usize = 5;
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const UNIFORM_DIM: usize = 4;
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let curv = 2.0*v[3];
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if v.dot(&(&*Q * v)) < 0.5 {
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// `v` represents a point. the normalization condition says that the
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// curvature component of `v` is 1/2
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DMatrix::from_column_slice(ELEMENT_DIM, UNIFORM_DIM, &[
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curv, 0.0, 0.0, 0.0, v[0],
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0.0, curv, 0.0, 0.0, v[1],
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0.0, 0.0, curv, 0.0, v[2],
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0.0, 0.0, 0.0, 0.0, 1.0
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])
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} else {
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// `v` represents a sphere. the normalization condition says that the
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// Lorentz product of `v` with itself is 1
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DMatrix::from_column_slice(ELEMENT_DIM, UNIFORM_DIM, &[
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curv, 0.0, 0.0, 0.0, v[0],
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0.0, curv, 0.0, 0.0, v[1],
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0.0, 0.0, curv, 0.0, v[2],
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curv*v[0], curv*v[1], curv*v[2], curv*v[3], curv*v[4] + 1.0
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])
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}
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}
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// use backtracking line search to find a better configuration
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fn seek_better_config(
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gram: &PartialMatrix,
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@ -344,7 +398,19 @@ pub fn realize_gram(
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}
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let success = state.loss < tol;
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let tangent = if success {
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ConfigSubspace::symmetric_kernel(hess, assembly_dim)
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// express the uniform basis in the standard basis
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const UNIFORM_DIM: usize = 4;
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let total_dim_unif = UNIFORM_DIM * assembly_dim;
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let mut unif_to_std = DMatrix::<f64>::zeros(total_dim, total_dim_unif);
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for n in 0..assembly_dim {
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let block_start = (element_dim * n, UNIFORM_DIM * n);
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unif_to_std
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.view_mut(block_start, (element_dim, UNIFORM_DIM))
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.copy_from(&local_unif_to_std(state.config.column(n)));
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}
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// find the kernel of the Hessian. give it the uniform inner product
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ConfigSubspace::symmetric_kernel(hess, unif_to_std, assembly_dim)
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} else {
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ConfigSubspace::zero(assembly_dim)
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};
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|
Loading…
Reference in New Issue
Block a user