Numerical methods for polynomial interpolation and approximation
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Updated
Mar 13, 2024 - Python
Numerical methods for polynomial interpolation and approximation
We, a team of students, recently completed a series of projects as part of our numerical analysis course. These projects involved the application of various numerical methods to solve mathematical problems and analyze the results. Through these projects, we gained a deeper understanding of the concepts covered in the course and honed our skills in
This git repository is an implementation of polynomials and their use for interpolation.
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.
Octave cubic spline implementation with hermite basis
This is an repository for assignments provided in Course of Numerical Methods. This Course focuses on finding exact solutions without use of analytical methods
Approximating 3 common functions with the direct method, Lagrange interpolation, and Hermite interpolation. Approximations plotted on Chebyshev nodes.
A python program to create Hermite cubic splines.
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 repository to save my work for my research thesis.
Este es un repositorio que almacena el código desarrollado en el informe presentado sobre la teoría y aplicaciones de la interpolación de Hermite
3rd degree polynomial spline trajectory generator
BRACU CSE330 Lab Solves
OPD Profect application for students - Numerical methods app, which includes solving nonliear equations, integrals, interpolation, differential equations, systems of linear equations
This repository is for saving reports and code for num methods course in SPbPU, 2021-2022
Hermite Interpolation Calculator with four features : interpolation polynomial, interpolation value at a point, truncation error and bound on error.
Gravitational n body simulation by hermite integration
Numerical analysis algorithms
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