Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assis…

In this repository, the implementation of forward and inverse kinematics by redundancy resolution is presented for KUKA on linear axis 7-DOF robot. The Redundancy Resolution includes three methods, which are Jacobian-based (Damped Least Square and Weighted Pseudoinverse), Null Space, and Task Augmentation.

Improving high frequency image features of Deep Learning reconstructions via k-space refinement with null-space kernel

Saturation in the Null Space method at acceleration and velocity level, using preemptive prioritization strategy.

Physics-driven electronic lifeform simulator. One equation: A[Γ] = ∫ΣΓᵢ²dt → min. 6 papers (70 pages), 18 testable predictions, 3274 tests, zero fitted parameters. NHANES-validated (n=49,774).

📚 Explore linear algebra concepts with this beginner-friendly guide, covering vectors, scalars, and more through clear explanations and practical examples.