This repository contains all the lab assignments done in the CSE330 course of BracU
-
Updated
Sep 22, 2023 - Jupyter Notebook
This repository contains all the lab assignments done in the CSE330 course of BracU
🚀 Solve the time-dependent Schrodinger equation in unbounded domain
Demonstrate methods to improve accuracy of pricing options with binomial trees
Characterization and Error Mitigation of NISQ Processors using Zero-Noise Extrapolation (ZNE).
Code to calculate the order of convergence, GCI index and asymptotic range using the theory of Richardson
BRACU CSE330 Lab Solves
This code encompasses a simple strategy, a symmetric high-order interpolation of the correction term, for completing the higher-order solution on the fine grid.
Explore the foundations of scientific computing with this collection of Jupyter notebooks on numerical methods. This repository covers key topics—from solving linear/nonlinear systems to polynomial interpolation and numerical differentiation—with from-scratch Python implementations.
A simple code to perform Richardson Extrapolation
This repository includes the Python Lab Assignments from my CSE330: Numerical Methods course at the School of Data and Sciences of BRAC University, Dhaka, Bangladesh.
Here is a repo linked to a potential article about implementation of a modern version of the Guiggiani algorithm based on 1) Richardson extrapolation for the Laurent expansion, and 2) Duffy coordinates for good quadrature
Add a description, image, and links to the richardson-extrapolation topic page so that developers can more easily learn about it.
To associate your repository with the richardson-extrapolation topic, visit your repo's landing page and select "manage topics."