first commit

Code for the paper "Rational neural networks", NeurIPS 2020

Codes for the paper 'Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator' ICDM 18

This directory contains lecture notes for an undergraduate numerical analysis course offered in Spring 2018, at UT Austin.

Neural network architecture with learnable fractional power bases

Numerical study of convergence rates for approximating transport maps

A numerical methods project exploring different approaches to computing trigonometric functions. Combining modern C++, Python, and LaTeX to investigate approximation algorithms through reproducible numerical experiments.

Preliminary numerical experiments for some greedy algorithms.

Reproducible code, data and figures for the paper "Optimal selection of the preserved exponential in Szász–Mirakyan operators: a leading-term criterion validated at finite n" (submitted to DRNA).

Certified minimax approximation of the logistic-normal integral

Function code in python of The fourth order Runge Kutta method to compute approximated solutions of ordinary differential equations and its documentation.

A port of Chebfun from MATLAB to GNU Octave.

Challenge of shallow neural network approximation with one-dimensional input.

A collection of notes on introductory numerical analysis, involving multiple methods.

Composite Polynomial Approximations to the Sign and Sqrt Functions

Volume VII of Learning Real Analysis: Numerical analysis and approximation theory.