A web app that generates code for efficiently approximating mathematical functions of one variable.
-
Updated
Oct 7, 2024 - TypeScript
#
chebyshev-approximation
Here are 8 public repositories matching this topic...
A Rust library for computing and evaluating polynomial approximations of functions of one variable using Chebyshev expansions.
rust rust-lang no-std chebyshev-polynomials chebyshev-expansion chebyshev-approximation chebyshev-polynomial
-
Updated
Sep 20, 2024 - Rust
Training Quantum Signal Processing phase angles from scratch using JAX gradient descent and PennyLane.
python demo qml quantum jupyter-notebook quantum-computing qsp gradient-descent quantum-algorithms quantum-machine-learning jax chebyshev-approximation pennylane optax quantum-signal-processing qsvt variational-quantum
-
Updated
Jun 12, 2026 - Jupyter Notebook
This is the repo of the research paper, "Data-driven computing in elasticity via Chebyshev Approximation".
elasticity chebyshev-polynomials data-driven-computational-mechanics model-free-method nonparametric-method chebyshev-approximation chebfun
-
Updated
May 10, 2019 - MATLAB
Reproducible QSP benchmark: gradient-learned phase angles on a JAX flat circuit vs mapped analytic solvers.
reproducible-research qml polynomials quantum-computing qsp gradient-descent jax chebyshev-approximation pennylane quantum-signal-processing pyqsp
-
Updated
Jun 12, 2026 - Jupyter Notebook
Stokes flow in doubly periodic, partially or fully confined geometries.
-
Updated
Apr 16, 2020
This repo specifically contains all the numerical experiments conducted during my MS-Thesis Project, sharing the same title. Major languages used in the span of this project are Python, MATLAB and Mathematica. The code files are well-commented and are the codes self-explanatory.
fourier-series fourier-analysis chebyshev-polynomials chebyshev-approximation fourier-approximation eigenvalue-problems parametric-differential-equations chebyshev-series
-
Updated
Jul 28, 2025 - Jupyter Notebook
Bernstein's constant to ten rigorously certified digits: beta = 0.2801694990, proved in interval arithmetic (Arb) where the 1985 Varga-Carpenter rigorous enclosure gives five. OEIS A073001. Every number re-derivable from the shipped data in exact arithmetic.
reproducible-research open-data oeis interval-arithmetic arb numerical-analysis approximation-theory computer-assisted-proof chebyshev-approximation rigorous-numerics best-uniform-approximation mathematical-constants certified-computation python-flint bernstein-constant
-
Updated
Sep 3, 2026 - Python
Add this topic to your repo
To associate your repository with the chebyshev-approximation topic, visit your repo's landing page and select "manage topics."