Solutions and notes for MIT OpenCourseWare (MITOCW) courses
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Updated
May 25, 2025 - Jupyter Notebook
Solutions and notes for MIT OpenCourseWare (MITOCW) courses
Learning materials from MIT OCW 18.06 Linear Algebra course
Introduction to Computer Science and Programming Using Python
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.
MIT OpenCourseWare - 6.100L - Introduction to CS and Programming using Python || practicing code and solving problems included in lectures
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