Foundations-of-Applied-Mathematics / Labs
Labs for the Foundations of Applied Mathematics curriculum.
☆217Updated 3 months ago
Alternatives and similar repositories for Labs:
Users that are interested in Labs are comparing it to the libraries listed below
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆50Updated 6 months ago
- Data for the Foundations of Applied Mathematics lab curriculum.☆27Updated 7 months ago
- Tutorials and information on the Julia language for MIT numerical-computation courses.☆754Updated last month
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆331Updated 4 years ago
- 18.S096 three-week course at MIT☆260Updated last year
- 18.303 - Linear PDEs course☆141Updated last year
- 18.335 - Introduction to Numerical Methods course☆513Updated this week
- A set of notebooks for an introduction to Python for Mathematicians.☆171Updated 3 years ago
- A concise Julia language introductory manual for programmers.☆269Updated 2 years ago
- 18.330 Introduction to Numerical Analysis☆365Updated last year
- Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic☆503Updated last year
- A Deep Introduction to Julia for Data Science and Scientific Computing☆253Updated 3 years ago
- A textbook of elementary undergraduate algebra with an emphasis on hand and computer computation, as a precursor to the usual big algebra…☆81Updated last year
- A free open-source textbook for Multivariable Calculus that emphasizes differentials and linear algebra☆38Updated 13 years ago
- 18.S096 - Applications of Scientific Machine Learning☆310Updated 2 years ago
- A template for textbooks in the same style as Algorithms for Optimization☆360Updated 8 months ago
- A cheatsheet for Python and Julia☆155Updated last year
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆553Updated last year
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆73Updated 6 years ago
- Jupyter notebooks associated with the Algorithms for Optimization textbook☆446Updated 2 years ago
- ☆164Updated 4 months ago
- Julia code for the book Numerical Linear Algebra☆119Updated 2 years ago
- Course notes for Computational Statistics and Statistical Compuing☆62Updated 5 years ago
- Jupyter notebooks for the Klopper lectures on discrete mathematics☆35Updated 8 years ago
- Book: Introduction to Python for Computational Science and Engineering☆376Updated 11 months ago
- Advanced-Programming☆24Updated 8 months ago
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆384Updated last month
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆163Updated 2 years ago
- Notebooks for https://python-programming.quantecon.org☆54Updated this week
- An introduction to Bayesian statistics using Python and (coming soon) R.☆130Updated last year