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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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@ -109,6 +109,7 @@ impl Element {
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}
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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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@ -126,9 +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
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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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@ -138,7 +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()),
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elements_by_id: create_signal(FxHashMap::default())
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}
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}
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@ -152,13 +149,6 @@ impl Assembly {
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let id = elt.id.clone();
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let key = self.elements.update(|elts| elts.insert(elt));
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self.elements_by_id.update(|elts_by_id| elts_by_id.insert(id, key));
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// realize to update the tangent space
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/* KLUDGE */
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// since the newly inserted element is unconstrained, we should be able
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// to update the tangent space without recomputing the Hessian and its
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// eigendecomposition
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self.realize();
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}
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pub fn try_insert_element(&self, elt: Element) -> bool {
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@ -257,7 +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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@ -273,7 +263,6 @@ 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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@ -282,50 +271,6 @@ impl Assembly {
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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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pub fn deform(&self, element_motions: Vec<(ElementKey, DVectorView<f64>)>) {
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/* KLUDGE */
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// when the tangent space is zero, we currently need to avoid calling
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// its `proj` method, because it will panic rather than returning zero.
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// in the future, we'll want a more intentionally designed system for
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// handling this case
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if self.tangent.with(|tan| tan.dim() <= 0) {
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console::log_1(&JsValue::from("The assembly is rigid"));
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return;
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}
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const ELEMENT_DIM: usize = 5;
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let assembly_dim = self.elements.with(|elts| elts.len());
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let mut motion_proj = DMatrix::zeros(ELEMENT_DIM, assembly_dim);
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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
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for (elt_key, elt_motion) in element_motions {
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let column_index = self.elements.with(|elts| elts[elt_key].column_index);
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motion_proj += self.tangent.with(|tan| tan.proj(&elt_motion, column_index));
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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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let rep_next = &*rep + motion_proj.column(elt.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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}
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// bring the configuration back onto the solution variety
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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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@ -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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@ -318,34 +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(vec![(sel, elt_motion.as_view())]);
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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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@ -464,7 +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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@ -484,23 +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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@ -512,7 +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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@ -521,24 +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());
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@ -547,15 +473,8 @@ pub fn Display() -> View {
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roll_ccw.set(0.0);
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zoom_in.set(0.0);
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zoom_out.set(0.0);
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// swap manipulation inputs
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translate_pos_y.set(translate_neg_z.get());
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translate_neg_y.set(translate_pos_z.get());
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translate_pos_z.set(0.0);
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translate_neg_z.set(0.0);
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} else {
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set_nav_signal(&event, 0.0);
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set_manip_signal(&event, 0.0);
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set_nav_signal(event, 0.0);
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}
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},
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on:blur=move |_| {
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|
@ -1,5 +1,5 @@
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use lazy_static::lazy_static;
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use nalgebra::{Const, DMatrix, DVector, DVectorView, Dyn, SymmetricEigen};
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use nalgebra::{Const, DMatrix, DVector, Dyn};
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use web_sys::{console, wasm_bindgen::JsValue}; /* DEBUG */
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// --- elements ---
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@ -85,61 +85,6 @@ impl PartialMatrix {
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}
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}
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// --- configuration subspaces ---
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#[derive(Clone)]
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pub struct ConfigSubspace(Vec<DMatrix<f64>>);
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impl ConfigSubspace {
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pub fn zero() -> ConfigSubspace {
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ConfigSubspace(Vec::new())
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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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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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);
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/* DEBUG */
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// print the eigenvalues
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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!("Eigenvalues used to find kernel: {}", eig.eigenvalues)
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));
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ConfigSubspace(basis.collect())
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}
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pub fn dim(&self) -> usize {
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let ConfigSubspace(basis) = self;
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basis.len()
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}
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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`
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/* TO DO */
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// for the zero subspace, this method's behavior doesn't match its name: it
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// panics rather than returning zero
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pub fn proj(&self, v: &DVectorView<f64>, column_index: usize) -> DMatrix<f64> {
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let ConfigSubspace(basis) = self;
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basis.into_iter().map(
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|b| b.column(column_index).dot(&v) * b
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).sum()
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}
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}
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// --- descent history ---
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pub struct DescentHistory {
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@ -236,7 +181,7 @@ pub fn realize_gram(
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reg_scale: f64,
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max_descent_steps: i32,
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max_backoff_steps: i32
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) -> (DMatrix<f64>, ConfigSubspace, bool, DescentHistory) {
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) -> (DMatrix<f64>, bool, DescentHistory) {
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// start the descent history
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let mut history = DescentHistory::new();
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@ -256,8 +201,12 @@ pub fn realize_gram(
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// use Newton's method with backtracking and gradient descent backup
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let mut state = SearchState::from_config(gram, guess);
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let mut hess = DMatrix::zeros(element_dim, assembly_dim);
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for _ in 0..max_descent_steps {
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// stop if the loss is tolerably low
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history.config.push(state.config.clone());
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history.scaled_loss.push(state.loss / scale_adjustment);
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if state.loss < tol { break; }
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// find the negative gradient of the loss function
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let neg_grad = 4.0 * &*Q * &state.config * &state.err_proj;
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let mut neg_grad_stacked = neg_grad.clone().reshape_generic(Dyn(total_dim), Const::<1>);
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@ -280,7 +229,7 @@ pub fn realize_gram(
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hess_cols.push(deriv_grad.reshape_generic(Dyn(total_dim), Const::<1>));
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}
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}
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hess = DMatrix::from_columns(hess_cols.as_slice());
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let mut hess = DMatrix::from_columns(hess_cols.as_slice());
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||||
// regularize the Hessian
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let min_eigval = hess.symmetric_eigenvalues().min();
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@ -300,11 +249,6 @@ pub fn realize_gram(
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hess[(k, k)] = 1.0;
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}
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// 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
|
||||
@ -312,7 +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());
|
||||
|
||||
@ -325,16 +269,10 @@ pub fn realize_gram(
|
||||
state = better_state;
|
||||
history.backoff_steps.push(backoff_steps);
|
||||
},
|
||||
None => return (state.config, ConfigSubspace::zero(), 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()
|
||||
};
|
||||
(state.config, tangent, success, history)
|
||||
(state.config, state.loss < tol, history)
|
||||
}
|
||||
|
||||
// --- tests ---
|
||||
@ -353,7 +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 {
|
||||
@ -461,7 +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();
|
||||
@ -471,61 +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]
|
||||
@ -545,7 +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