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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.

Numerical study of convergence rates for approximating transport maps

Preliminary numerical experiments for some greedy algorithms.

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

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

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