Foundations-of-Applied-Mathematics / LabsLinks
Labs for the Foundations of Applied Mathematics curriculum.
☆229Updated 11 months ago
Alternatives and similar repositories for Labs
Users that are interested in Labs are comparing it to the libraries listed below
Sorting:
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆55Updated last year
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆342Updated 5 years ago
- A cheatsheet for Python and Julia☆155Updated last year
- A Deep Introduction to Julia for Data Science and Scientific Computing☆254Updated 4 years ago
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆171Updated 3 months ago
- 18.335 - Introduction to Numerical Methods course☆562Updated 3 weeks ago
- Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic☆510Updated 2 years ago
- A set of notebooks for an introduction to Python for Mathematicians.☆174Updated 3 years ago
- Book: Introduction to Python for Computational Science and Engineering☆381Updated last year
- Program files from MATLAB Guide, Third Edition☆29Updated 8 years ago
- A textbook of elementary undergraduate algebra with an emphasis on hand and computer computation, as a precursor to the usual big algebra…☆83Updated last year
- Tutorials and information on the Julia language for MIT numerical-computation courses.☆792Updated 9 months ago
- A template for textbooks in the same style as Algorithms for Optimization☆379Updated last year
- Jupyter notebooks associated with the Algorithms for Optimization textbook☆479Updated 3 years ago
- A free open-source textbook for Multivariable Calculus that emphasizes differentials and linear algebra☆39Updated 14 years ago
- 18.330 Introduction to Numerical Analysis☆381Updated last year
- 18.S096 three-week course at MIT☆267Updated 2 years ago
- Notes on Diffy Qs, a textbook for differential equations☆76Updated this week
- A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc☆130Updated 7 months ago
- A concise Julia language introductory manual for programmers.☆275Updated 2 years ago
- Bayesian Learning course at Stockholm University☆156Updated 2 weeks ago
- ☆110Updated 4 years ago
- Basic Analysis, undergraduate real analysis textbook☆82Updated this week
- Materials for MTH 201 (Calculus) at Grand Valley State University -- using a flipped learning design with specifications grading.☆42Updated 4 years ago
- Jupyter notebooks for the Klopper lectures on discrete mathematics☆35Updated 9 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- ☆75Updated 8 years ago
- An introduction to Bayesian statistics using Python and (coming soon) R.☆134Updated 2 years ago
- Notebooks for https://python-programming.quantecon.org☆67Updated 2 weeks ago
- 18.303 - Linear PDEs course☆145Updated last year