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No commits in common. "tangent-space" and "main" have entirely different histories.
tangent-sp
...
main
@ -2,7 +2,7 @@ use dyna3::engine::{Q, irisawa::realize_irisawa_hexlet};
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fn main() {
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const SCALED_TOL: f64 = 1.0e-12;
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let (config, _, success, history) = realize_irisawa_hexlet(SCALED_TOL);
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let (config, success, history) = realize_irisawa_hexlet(SCALED_TOL);
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print!("\nCompleted Gram matrix:{}", config.tr_mul(&*Q) * &config);
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if success {
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println!("Target accuracy achieved!");
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@ -18,7 +18,7 @@ fn main() {
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]);
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let frozen = [(3, 0)];
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println!();
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let (config, _, success, history) = realize_gram(
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let (config, 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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@ -21,7 +21,7 @@ fn main() {
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])
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};
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println!();
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let (config, _, success, history) = realize_gram(
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let (config, success, history) = realize_gram(
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&gram, guess, &[],
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1.0e-12, 0.5, 0.9, 1.1, 200, 110
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);
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@ -1,11 +1,11 @@
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use nalgebra::{DMatrix, DVector, DVectorView, Vector3};
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use nalgebra::{DMatrix, DVector, Vector3};
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use rustc_hash::FxHashMap;
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use slab::Slab;
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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, PartialMatrix};
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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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@ -33,9 +33,8 @@ pub struct Element {
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pub serial: u64,
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// the configuration matrix column index that was assigned to this element
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// last time the assembly was realized, or `None` if the element has never
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// been through a realization
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column_index: Option<usize>
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// last time the assembly was realized
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column_index: usize
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}
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impl Element {
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@ -63,7 +62,7 @@ impl Element {
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representation: create_signal(representation),
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constraints: create_signal(BTreeSet::default()),
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serial: serial,
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column_index: None
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column_index: 0
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}
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}
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@ -111,6 +110,7 @@ impl Element {
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}
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}
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#[derive(Clone)]
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pub struct Constraint {
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pub subjects: (ElementKey, ElementKey),
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@ -120,13 +120,6 @@ pub struct Constraint {
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pub active: Signal<bool>
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}
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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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}
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type AssemblyMotion<'a> = Vec<ElementMotion<'a>>;
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// a complete, view-independent description of an assembly
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#[derive(Clone)]
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pub struct Assembly {
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@ -134,18 +127,6 @@ pub struct Assembly {
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pub elements: Signal<Slab<Element>>,
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pub constraints: Signal<Slab<Constraint>>,
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// solution variety tangent space. the basis vectors are stored in
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// configuration matrix format, ordered according to the elements' column
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// indices. when you realize the assembly, every element that's present
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// during realization gets a column index and is reflected in the tangent
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// space. since the methods in this module never assign column indices
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// without later realizing the assembly, we get the following invariant:
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//
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// (1) if an element has a column index, its tangent motions can be found
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// in that column of the tangent space basis matrices
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//
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pub tangent: Signal<ConfigSubspace>,
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// indexing
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pub elements_by_id: Signal<FxHashMap<String, ElementKey>>
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}
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@ -155,7 +136,6 @@ impl Assembly {
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Assembly {
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elements: create_signal(Slab::new()),
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constraints: create_signal(Slab::new()),
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tangent: create_signal(ConfigSubspace::zero(0)),
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elements_by_id: create_signal(FxHashMap::default())
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}
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}
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@ -219,7 +199,7 @@ impl Assembly {
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// index the elements
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self.elements.update_silent(|elts| {
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for (index, (_, elt)) in elts.into_iter().enumerate() {
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elt.column_index = Some(index);
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elt.column_index = index;
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}
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});
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@ -231,8 +211,8 @@ impl Assembly {
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for (_, cst) in csts {
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if cst.active.get_untracked() && cst.lorentz_prod_valid.get_untracked() {
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let subjects = cst.subjects;
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let row = elts[subjects.0].column_index.unwrap();
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let col = elts[subjects.1].column_index.unwrap();
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let row = elts[subjects.0].column_index;
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let col = elts[subjects.1].column_index;
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gram_to_be.push_sym(row, col, cst.lorentz_prod.get_untracked());
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}
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}
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@ -242,7 +222,7 @@ impl Assembly {
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// Gram matrix
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let mut guess_to_be = DMatrix::<f64>::zeros(5, elts.len());
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for (_, elt) in elts {
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let index = elt.column_index.unwrap();
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let index = elt.column_index;
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gram_to_be.push_sym(index, index, 1.0);
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guess_to_be.set_column(index, &elt.representation.get_clone_untracked());
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}
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@ -267,7 +247,7 @@ impl Assembly {
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}
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// look for a configuration with the given Gram matrix
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let (config, tangent, success, history) = realize_gram(
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let (config, success, history) = realize_gram(
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&gram, guess, &[],
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1.0e-12, 0.5, 0.9, 1.1, 200, 110
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);
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@ -283,111 +263,14 @@ impl Assembly {
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));
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console::log_2(&JsValue::from("Steps:"), &JsValue::from(history.scaled_loss.len() - 1));
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console::log_2(&JsValue::from("Loss:"), &JsValue::from(*history.scaled_loss.last().unwrap()));
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console::log_2(&JsValue::from("Tangent dimension:"), &JsValue::from(tangent.dim()));
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if success {
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// read out the solution
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for (_, elt) in self.elements.get_clone_untracked() {
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elt.representation.update(
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|rep| rep.set_column(0, &config.column(elt.column_index.unwrap()))
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|rep| rep.set_column(0, &config.column(elt.column_index))
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);
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}
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// save the tangent space
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self.tangent.set_silent(tangent);
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}
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}
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// --- deformation ---
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// project the given motion to the tangent space of the solution variety and
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// move the assembly along it. the implementation is based on invariant (1)
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// from above and the following additional invariant:
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//
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// (2) if an element is affected by a constraint, it has a column index
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//
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// we have this invariant because the assembly gets realized each time you
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// add a constraint
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pub fn deform(&self, motion: AssemblyMotion) {
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/* KLUDGE */
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// when the tangent space is zero, deformation won't do anything, but
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// the attempt to deform should be registered in the UI. this console
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// message will do for now
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if self.tangent.with(|tan| tan.dim() <= 0 && tan.assembly_dim() > 0) {
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console::log_1(&JsValue::from("The assembly is rigid"));
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}
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// give a column index to each moving element that doesn't have one yet.
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// this temporarily breaks invariant (1), but the invariant will be
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// restored when we realize the assembly at the end of the deformation.
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// in the process, we find out how many matrix columns we'll need to
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// hold the deformation
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let realized_dim = self.tangent.with(|tan| tan.assembly_dim());
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let motion_dim = self.elements.update_silent(|elts| {
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let mut next_column_index = realized_dim;
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for elt_motion in motion.iter() {
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let moving_elt = &mut elts[elt_motion.key];
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if moving_elt.column_index.is_none() {
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moving_elt.column_index = Some(next_column_index);
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next_column_index += 1;
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}
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}
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next_column_index
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});
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// project the element motions onto the tangent space of the solution
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// variety and sum them to get a deformation of the whole assembly. the
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// matrix `motion_proj` that holds the deformation has extra columns for
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// any moving elements that aren't reflected in the saved tangent space
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const ELEMENT_DIM: usize = 5;
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let mut motion_proj = DMatrix::zeros(ELEMENT_DIM, motion_dim);
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for elt_motion in motion {
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// we can unwrap the column index because we know that every moving
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// element has one at this point
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let column_index = self.elements.with_untracked(
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|elts| elts[elt_motion.key].column_index.unwrap()
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);
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if column_index < realized_dim {
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// this element had a column index when we started, so by
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// invariant (1), it's reflected in the tangent space
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let mut target_columns = motion_proj.columns_mut(0, realized_dim);
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target_columns += self.tangent.with(
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|tan| tan.proj(&elt_motion.velocity, column_index)
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);
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} else {
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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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}
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}
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// step each element along the mass shell geodesic that matches its
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// velocity in the deformation found above
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/* KLUDGE */
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// since our test assemblies only include spheres, we assume that every
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// element is on the 1 mass shell
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for (_, elt) in self.elements.get_clone_untracked() {
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elt.representation.update_silent(|rep| {
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match elt.column_index {
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Some(column_index) => {
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let rep_next = &*rep + motion_proj.column(column_index);
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let normalizer = rep_next.dot(&(&*Q * &rep_next));
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rep.set_column(0, &(rep_next / normalizer));
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},
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None => {
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console::log_1(&JsValue::from(
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format!("No velocity to unpack for fresh element \"{}\"", elt.id)
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))
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}
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};
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});
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}
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// bring the configuration back onto the solution variety. this also
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// gets the elements' column indices and the saved tangent space back in
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// sync
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self.realize();
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}
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}
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@ -1,5 +1,5 @@
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use core::array;
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use nalgebra::{DMatrix, DVector, Rotation3, Vector3};
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use nalgebra::{DMatrix, Rotation3, Vector3};
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use sycamore::{prelude::*, motion::create_raf};
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use web_sys::{
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console,
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@ -14,7 +14,7 @@ use web_sys::{
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wasm_bindgen::{JsCast, JsValue}
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};
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use crate::{AppState, assembly::{ElementKey, ElementMotion}};
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use crate::{AppState, assembly::ElementKey};
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fn compile_shader(
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context: &WebGl2RenderingContext,
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@ -123,14 +123,6 @@ pub fn Display() -> View {
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let zoom_out = create_signal(0.0);
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let turntable = create_signal(false); /* BENCHMARKING */
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// manipulation
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let translate_neg_x = create_signal(0.0);
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let translate_pos_x = create_signal(0.0);
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let translate_neg_y = create_signal(0.0);
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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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// change listener
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let scene_changed = create_signal(true);
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create_effect(move || {
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@ -149,7 +141,6 @@ pub fn Display() -> View {
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let mut frames_since_last_sample = 0;
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let mean_frame_interval = create_signal(0.0);
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let assembly_for_raf = state.assembly.clone();
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on_mount(move || {
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// timing
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let mut last_time = 0.0;
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@ -162,9 +153,6 @@ pub fn Display() -> View {
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let mut rotation = DMatrix::<f64>::identity(5, 5);
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let mut location_z: f64 = 5.0;
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// manipulation
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const TRANSLATION_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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const HIGHLIGHT: f32 = 0.2; /* SCAFFOLDING */
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@ -285,14 +273,6 @@ pub fn Display() -> View {
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let zoom_out_val = zoom_out.get();
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let turntable_val = turntable.get(); /* BENCHMARKING */
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// get the manipulation state
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let translate_neg_x_val = translate_neg_x.get();
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let translate_pos_x_val = translate_pos_x.get();
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let translate_neg_y_val = translate_neg_y.get();
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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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// update the assembly's orientation
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let ang_vel = {
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let pitch = pitch_up_val - pitch_down_val;
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@ -318,41 +298,6 @@ pub fn Display() -> View {
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let zoom = zoom_out_val - zoom_in_val;
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location_z *= (time_step * ZOOM_SPEED * zoom).exp();
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// manipulate the assembly
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if state.selection.with(|sel| sel.len() == 1) {
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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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};
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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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key: sel,
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velocity: elt_motion.as_view()
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}
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]
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);
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scene_changed.set(true);
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}
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}
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if scene_changed.get() {
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/* INSTRUMENTS */
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// measure mean frame interval
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@ -471,7 +416,7 @@ pub fn Display() -> View {
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start_animation_loop();
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});
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let set_nav_signal = move |event: &KeyboardEvent, value: f64| {
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let set_nav_signal = move |event: KeyboardEvent, value: f64| {
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let mut navigating = true;
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let shift = event.shift_key();
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match event.key().as_str() {
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@ -491,23 +436,6 @@ pub fn Display() -> View {
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}
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};
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let set_manip_signal = move |event: &KeyboardEvent, value: f64| {
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let mut manipulating = true;
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let shift = event.shift_key();
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match event.key().as_str() {
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"d" | "D" => translate_pos_x.set(value),
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"a" | "A" => translate_neg_x.set(value),
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"w" | "W" if shift => translate_neg_z.set(value),
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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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_ => manipulating = false
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};
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if manipulating {
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event.prevent_default();
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}
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};
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view! {
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/* TO DO */
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// switch back to integer-valued parameters when that becomes possible
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@ -519,7 +447,6 @@ pub fn Display() -> View {
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tabindex="0",
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on:keydown=move |event: KeyboardEvent| {
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if event.key() == "Shift" {
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// swap navigation inputs
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roll_cw.set(yaw_right.get());
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roll_ccw.set(yaw_left.get());
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zoom_in.set(pitch_up.get());
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@ -528,24 +455,16 @@ pub fn Display() -> View {
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yaw_left.set(0.0);
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pitch_up.set(0.0);
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pitch_down.set(0.0);
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// swap manipulation inputs
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translate_pos_z.set(translate_neg_y.get());
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translate_neg_z.set(translate_pos_y.get());
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translate_pos_y.set(0.0);
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translate_neg_y.set(0.0);
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} else {
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if event.key() == "Enter" { /* BENCHMARKING */
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turntable.set_fn(|turn| !turn);
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scene_changed.set(true);
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}
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set_nav_signal(&event, 1.0);
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set_manip_signal(&event, 1.0);
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set_nav_signal(event, 1.0);
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}
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},
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on:keyup=move |event: KeyboardEvent| {
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if event.key() == "Shift" {
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// swap navigation inputs
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yaw_right.set(roll_cw.get());
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yaw_left.set(roll_ccw.get());
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pitch_up.set(zoom_in.get());
|
||||
@ -554,15 +473,8 @@ pub fn Display() -> View {
|
||||
roll_ccw.set(0.0);
|
||||
zoom_in.set(0.0);
|
||||
zoom_out.set(0.0);
|
||||
|
||||
// swap manipulation inputs
|
||||
translate_pos_y.set(translate_neg_z.get());
|
||||
translate_neg_y.set(translate_pos_z.get());
|
||||
translate_pos_z.set(0.0);
|
||||
translate_neg_z.set(0.0);
|
||||
} else {
|
||||
set_nav_signal(&event, 0.0);
|
||||
set_manip_signal(&event, 0.0);
|
||||
set_nav_signal(event, 0.0);
|
||||
}
|
||||
},
|
||||
on:blur=move |_| {
|
||||
|
@ -1,5 +1,5 @@
|
||||
use lazy_static::lazy_static;
|
||||
use nalgebra::{Const, DMatrix, DVector, DVectorView, Dyn, SymmetricEigen};
|
||||
use nalgebra::{Const, DMatrix, DVector, Dyn};
|
||||
use web_sys::{console, wasm_bindgen::JsValue}; /* DEBUG */
|
||||
|
||||
// --- elements ---
|
||||
@ -85,74 +85,6 @@ impl PartialMatrix {
|
||||
}
|
||||
}
|
||||
|
||||
// --- configuration subspaces ---
|
||||
|
||||
#[derive(Clone)]
|
||||
pub struct ConfigSubspace {
|
||||
assembly_dim: usize,
|
||||
basis: Vec<DMatrix<f64>>
|
||||
}
|
||||
|
||||
impl ConfigSubspace {
|
||||
pub fn zero(assembly_dim: usize) -> ConfigSubspace {
|
||||
ConfigSubspace {
|
||||
assembly_dim: assembly_dim,
|
||||
basis: Vec::new()
|
||||
}
|
||||
}
|
||||
|
||||
// approximate the kernel of a symmetric endomorphism of the configuration
|
||||
// space for `assembly_dim` elements. we consider an eigenvector to be part
|
||||
// of the kernel if its eigenvalue is smaller than the constant `THRESHOLD`
|
||||
fn symmetric_kernel(a: DMatrix<f64>, assembly_dim: usize) -> ConfigSubspace {
|
||||
const ELEMENT_DIM: usize = 5;
|
||||
const THRESHOLD: f64 = 1.0e-4;
|
||||
let eig = SymmetricEigen::new(a);
|
||||
let eig_vecs = eig.eigenvectors.column_iter();
|
||||
let eig_pairs = eig.eigenvalues.iter().zip(eig_vecs);
|
||||
let basis = eig_pairs.filter_map(
|
||||
|(λ, v)| (λ.abs() < THRESHOLD).then_some(
|
||||
Into::<DMatrix<f64>>::into(
|
||||
v.reshape_generic(Dyn(ELEMENT_DIM), Dyn(assembly_dim))
|
||||
)
|
||||
)
|
||||
);
|
||||
|
||||
/* DEBUG */
|
||||
// print the eigenvalues
|
||||
#[cfg(all(target_family = "wasm", target_os = "unknown"))]
|
||||
console::log_1(&JsValue::from(
|
||||
format!("Eigenvalues used to find kernel: {}", eig.eigenvalues)
|
||||
));
|
||||
|
||||
ConfigSubspace {
|
||||
assembly_dim: assembly_dim,
|
||||
basis: basis.collect()
|
||||
}
|
||||
}
|
||||
|
||||
pub fn dim(&self) -> usize {
|
||||
self.basis.len()
|
||||
}
|
||||
|
||||
pub fn assembly_dim(&self) -> usize {
|
||||
self.assembly_dim
|
||||
}
|
||||
|
||||
// find the projection onto this subspace of the motion where the element
|
||||
// with the given column index has velocity `v`
|
||||
pub fn proj(&self, v: &DVectorView<f64>, column_index: usize) -> DMatrix<f64> {
|
||||
if self.dim() == 0 {
|
||||
const ELEMENT_DIM: usize = 5;
|
||||
DMatrix::zeros(ELEMENT_DIM, self.assembly_dim)
|
||||
} else {
|
||||
self.basis.iter().map(
|
||||
|b| b.column(column_index).dot(&v) * b
|
||||
).sum()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// --- descent history ---
|
||||
|
||||
pub struct DescentHistory {
|
||||
@ -249,7 +181,7 @@ pub fn realize_gram(
|
||||
reg_scale: f64,
|
||||
max_descent_steps: i32,
|
||||
max_backoff_steps: i32
|
||||
) -> (DMatrix<f64>, ConfigSubspace, bool, DescentHistory) {
|
||||
) -> (DMatrix<f64>, bool, DescentHistory) {
|
||||
// start the descent history
|
||||
let mut history = DescentHistory::new();
|
||||
|
||||
@ -269,8 +201,12 @@ pub fn realize_gram(
|
||||
|
||||
// use Newton's method with backtracking and gradient descent backup
|
||||
let mut state = SearchState::from_config(gram, guess);
|
||||
let mut hess = DMatrix::zeros(element_dim, assembly_dim);
|
||||
for _ in 0..max_descent_steps {
|
||||
// stop if the loss is tolerably low
|
||||
history.config.push(state.config.clone());
|
||||
history.scaled_loss.push(state.loss / scale_adjustment);
|
||||
if state.loss < tol { break; }
|
||||
|
||||
// find the negative gradient of the loss function
|
||||
let neg_grad = 4.0 * &*Q * &state.config * &state.err_proj;
|
||||
let mut neg_grad_stacked = neg_grad.clone().reshape_generic(Dyn(total_dim), Const::<1>);
|
||||
@ -293,7 +229,7 @@ pub fn realize_gram(
|
||||
hess_cols.push(deriv_grad.reshape_generic(Dyn(total_dim), Const::<1>));
|
||||
}
|
||||
}
|
||||
hess = DMatrix::from_columns(hess_cols.as_slice());
|
||||
let mut hess = DMatrix::from_columns(hess_cols.as_slice());
|
||||
|
||||
// regularize the Hessian
|
||||
let min_eigval = hess.symmetric_eigenvalues().min();
|
||||
@ -313,11 +249,6 @@ pub fn realize_gram(
|
||||
hess[(k, k)] = 1.0;
|
||||
}
|
||||
|
||||
// stop if the loss is tolerably low
|
||||
history.config.push(state.config.clone());
|
||||
history.scaled_loss.push(state.loss / scale_adjustment);
|
||||
if state.loss < tol { break; }
|
||||
|
||||
// compute the Newton step
|
||||
/*
|
||||
we need to either handle or eliminate the case where the minimum
|
||||
@ -325,7 +256,7 @@ pub fn realize_gram(
|
||||
singular. right now, this causes the Cholesky decomposition to return
|
||||
`None`, leading to a panic when we unrap
|
||||
*/
|
||||
let base_step_stacked = hess.clone().cholesky().unwrap().solve(&neg_grad_stacked);
|
||||
let base_step_stacked = hess.cholesky().unwrap().solve(&neg_grad_stacked);
|
||||
let base_step = base_step_stacked.reshape_generic(Dyn(element_dim), Dyn(assembly_dim));
|
||||
history.base_step.push(base_step.clone());
|
||||
|
||||
@ -338,16 +269,10 @@ pub fn realize_gram(
|
||||
state = better_state;
|
||||
history.backoff_steps.push(backoff_steps);
|
||||
},
|
||||
None => return (state.config, ConfigSubspace::zero(assembly_dim), false, history)
|
||||
None => return (state.config, false, history)
|
||||
};
|
||||
}
|
||||
let success = state.loss < tol;
|
||||
let tangent = if success {
|
||||
ConfigSubspace::symmetric_kernel(hess, assembly_dim)
|
||||
} else {
|
||||
ConfigSubspace::zero(assembly_dim)
|
||||
};
|
||||
(state.config, tangent, success, history)
|
||||
(state.config, state.loss < tol, history)
|
||||
}
|
||||
|
||||
// --- tests ---
|
||||
@ -366,7 +291,7 @@ pub mod irisawa {
|
||||
|
||||
use super::*;
|
||||
|
||||
pub fn realize_irisawa_hexlet(scaled_tol: f64) -> (DMatrix<f64>, ConfigSubspace, bool, DescentHistory) {
|
||||
pub fn realize_irisawa_hexlet(scaled_tol: f64) -> (DMatrix<f64>, bool, DescentHistory) {
|
||||
let gram = {
|
||||
let mut gram_to_be = PartialMatrix::new();
|
||||
for s in 0..9 {
|
||||
@ -474,7 +399,7 @@ mod tests {
|
||||
fn irisawa_hexlet_test() {
|
||||
// solve Irisawa's problem
|
||||
const SCALED_TOL: f64 = 1.0e-12;
|
||||
let (config, _, _, _) = realize_irisawa_hexlet(SCALED_TOL);
|
||||
let (config, _, _) = realize_irisawa_hexlet(SCALED_TOL);
|
||||
|
||||
// check against Irisawa's solution
|
||||
let entry_tol = SCALED_TOL.sqrt();
|
||||
@ -484,61 +409,6 @@ mod tests {
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn tangent_test() {
|
||||
const SCALED_TOL: f64 = 1.0e-12;
|
||||
const ELEMENT_DIM: usize = 5;
|
||||
const ASSEMBLY_DIM: usize = 3;
|
||||
let gram = {
|
||||
let mut gram_to_be = PartialMatrix::new();
|
||||
for j in 0..3 {
|
||||
for k in j..3 {
|
||||
gram_to_be.push_sym(j, k, if j == k { 1.0 } else { -1.0 });
|
||||
}
|
||||
}
|
||||
gram_to_be
|
||||
};
|
||||
let guess = DMatrix::from_columns(&[
|
||||
sphere(0.0, 0.0, 0.0, -2.0),
|
||||
sphere(0.0, 0.0, 1.0, 1.0),
|
||||
sphere(0.0, 0.0, -1.0, 1.0)
|
||||
]);
|
||||
let frozen: [_; 5] = std::array::from_fn(|k| (k, 0));
|
||||
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);
|
||||
assert_eq!(success, true);
|
||||
assert_eq!(history.scaled_loss.len(), 1);
|
||||
|
||||
// confirm that the tangent space has dimension five or less
|
||||
let ConfigSubspace(ref tangent_basis) = tangent;
|
||||
assert_eq!(tangent_basis.len(), 5);
|
||||
|
||||
// confirm that the tangent space contains all the motions we expect it
|
||||
// to. since we've already bounded the dimension of the tangent space,
|
||||
// this confirms that the tangent space is what we expect it to be
|
||||
let tangent_motions = vec![
|
||||
basis_matrix((0, 1), ELEMENT_DIM, ASSEMBLY_DIM),
|
||||
basis_matrix((1, 1), ELEMENT_DIM, ASSEMBLY_DIM),
|
||||
basis_matrix((0, 2), ELEMENT_DIM, ASSEMBLY_DIM),
|
||||
basis_matrix((1, 2), ELEMENT_DIM, ASSEMBLY_DIM),
|
||||
DMatrix::<f64>::from_column_slice(ELEMENT_DIM, 3, &[
|
||||
0.0, 0.0, 0.0, 0.0, 0.0,
|
||||
0.0, 0.0, -1.0, -0.25, -1.0,
|
||||
0.0, 0.0, -1.0, 0.25, 1.0
|
||||
])
|
||||
];
|
||||
let tol_sq = ((ELEMENT_DIM * ASSEMBLY_DIM) as f64) * SCALED_TOL * SCALED_TOL;
|
||||
for motion in tangent_motions {
|
||||
let motion_proj: DMatrix<_> = motion.column_iter().enumerate().map(
|
||||
|(k, v)| tangent.proj(&v, k)
|
||||
).sum();
|
||||
assert!((motion - motion_proj).norm_squared() < tol_sq);
|
||||
}
|
||||
}
|
||||
|
||||
// at the frozen indices, the optimization steps should have exact zeros,
|
||||
// and the realized configuration should match the initial guess
|
||||
#[test]
|
||||
@ -558,7 +428,7 @@ mod tests {
|
||||
]);
|
||||
let frozen = [(3, 0), (3, 1)];
|
||||
println!();
|
||||
let (config, _, success, history) = realize_gram(
|
||||
let (config, success, history) = realize_gram(
|
||||
&gram, guess.clone(), &frozen,
|
||||
1.0e-12, 0.5, 0.9, 1.1, 200, 110
|
||||
);
|
||||
|
@ -46,10 +46,6 @@ impl AppState {
|
||||
}
|
||||
|
||||
fn main() {
|
||||
// set the console error panic hook
|
||||
#[cfg(feature = "console_error_panic_hook")]
|
||||
console_error_panic_hook::set_once();
|
||||
|
||||
sycamore::render(|| {
|
||||
provide_context(AppState::new());
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user