Solutions and notes for MIT OpenCourseWare (MITOCW) courses
-
Updated
May 25, 2025 - Jupyter Notebook
Solutions and notes for MIT OpenCourseWare (MITOCW) courses
MIT OpenCourseWare - 6.100L - Introduction to CS and Programming using Python || practicing code and solving problems included in lectures
Introduction to Computer Science and Programming Using Python
Learning materials from MIT OCW 18.06 Linear Algebra course
A comprehensive C++ matrix algebra library built while studying MITOCW 18.06 (Linear Algebra), featuring matrix arithmetic, property detection + storage compression, Gaussian elimination, LU/QR/SVD factorizations, inversion, eigen computations, least-squares/projection tools, and even FFT support also supports complex matrices.
Add a description, image, and links to the mitocw topic page so that developers can more easily learn about it.
To associate your repository with the mitocw topic, visit your repo's landing page and select "manage topics."