Memo's research works.
-
Updated
Jun 10, 2024 - Python
Memo's research works.
This research work is about Limited Data Acquisition for the real life physical experiment of fluid flow across cylinder based on Kernelized Extended Dynamic Mode Decomposition by incorporating Gaussian Random Matrix Theory and Laplacian Kernel Function Hilbert space.
Repository for portfolio optimization with Markowitz theory
Code for my bachelor thesis Quantum chaos on Graphs. The main part of this repository is its root-finding solution. Then, the Nearest Neighbor Distribution is performed for the quantum spectra and also for the spectra of some random matrices.
Density of states for the AL, Schur, and IND lattices
Random matrix theory of polarized light scattering in disordered media
Random matrix theory and spectral graph algorithms
Python library for Random Matrix Theory, cleaning schemes for correlation matrices, and portfolio optimization
Python toolbox for sampling Determinantal Point Processes
Python scripts from paper Optimal cleaning for singular values of cross-covariance matrices, by Florent Benaych-Georges, Jean-Philippe Bouchaud, Marc Potters (see https://arxiv.org/abs/1901.05543)
A solution for one of Sethna's "Statistical Mechanics: Entropy, Order Parameters, and Complexity" problems regarding Random Matrix Theory.
Generate the Tracy-Widom distribution functions for beta = 1, 2, or 4 in Python
Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.
Add a description, image, and links to the random-matrix-theory topic page so that developers can more easily learn about it.
To associate your repository with the random-matrix-theory topic, visit your repo's landing page and select "manage topics."