chr1shr / am205_g_activitiesLinks
Harvard AM205: group activity files
☆17Updated 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☆93Updated 3 years ago
- This is a course material for numerical optimization to be taught in summer 2020☆41Updated 5 years ago
- Repo to host book about Lagrangian Descriptors technique☆16Updated 2 years ago
- Numerical Analysis -- Applied Mathematics☆31Updated 4 years ago
- Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining…☆14Updated 2 years ago
- Python trust-region subproblem solvers for nonlinear optimization☆29Updated this week
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆186Updated last year
- Course material for Cornell CS 6210 for Fall 2019☆25Updated 5 years ago
- Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise☆26Updated 8 years ago
- APPM 5630 at CU Boulder☆51Updated 3 months ago
- Julia code for the book Numerical Linear Algebra☆125Updated 2 years ago
- Lecture notes and course material for M3M6 Applied Complex Analysis at Imperial College☆37Updated 5 years ago
- A MATLAB matrix collection with an interface to organize matrices☆27Updated 2 years ago
- Lecture notes for M3M6 Methods of Mathematical Physics☆43Updated 5 years ago
- A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians☆43Updated 8 months ago
- 18.303 - Linear PDEs course☆146Updated last year
- Harvard Applied Math 225: Code Examples☆26Updated 3 years ago
- Chebfun examples collection☆70Updated 2 years ago
- Optimal Transport for Dummies - Code, slides and article☆33Updated 8 years ago
- MATLAB codes accompanying "Numerical Linear Algebra Theory" by Larisa Beilina, Evgenii Karchevskii, and Mikhail Karchevskii☆16Updated 8 years ago
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated last month
- Learning Green's functions of partial differential equations with deep learning.☆72Updated last year
- Supporting material for Princeton ORF522☆14Updated 3 months ago
- Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs☆22Updated last year
- Powell's Derivative-Free Optimization solvers.☆107Updated 6 months ago
- Lecture slides and homework assignments for MA5233 Computational Mathematics at the National University of Singapore.☆38Updated 5 years ago
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆171Updated 3 months ago
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆22Updated last year
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- generative neural network trained with physics knowledge☆14Updated 4 years ago