chr1shr / am205_g_activitiesLinks
Harvard AM205: group activity files
☆18Updated 4 years ago
Alternatives and similar repositories for am205_g_activities
Users that are interested in am205_g_activities are comparing it to the libraries listed below
Sorting:
- Harvard Applied Math 205: Code Examples☆95Updated 3 years ago
- Course material for Cornell CS 6210 for Fall 2019☆25Updated 6 years ago
- Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining…☆14Updated 3 years ago
- Python trust-region subproblem solvers for nonlinear optimization☆29Updated this week
- APPM 5630 at CU Boulder☆52Updated 4 months ago
- Repo to host book about Lagrangian Descriptors technique☆16Updated 2 years ago
- MATLAB codes accompanying "Numerical Linear Algebra Theory" by Larisa Beilina, Evgenii Karchevskii, and Mikhail Karchevskii☆16Updated 8 years ago
- Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise☆26Updated 8 years ago
- Chebfun examples collection☆71Updated 2 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆187Updated last year
- Numerical Analysis -- Applied Mathematics☆31Updated 4 years ago
- A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians☆43Updated 9 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- This is a course material for numerical optimization to be taught in summer 2020☆41Updated 5 years ago
- Harvard Applied Math 225: Code Examples☆26Updated 3 years ago
- Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs☆22Updated last year
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆172Updated 4 months ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- a collection of modern sparse (regularized) linear regression algorithms.☆65Updated 5 years ago
- Lecture notes and course material for M3M6 Applied Complex Analysis at Imperial College☆37Updated 5 years ago
- 18.303 - Linear PDEs course☆147Updated 2 years ago
- Notes and examples on how to solve partial differential equations with numerical methods, using Python.☆38Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago
- SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance☆25Updated last month
- Numerical methods implementation in MATLAB.☆40Updated last year
- ☆28Updated 4 years ago
- Lecture notes for M3M6 Methods of Mathematical Physics☆44Updated 5 years ago
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated 2 weeks ago
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆53Updated 4 years ago