Spectral embedding using Laplacian Eigenmaps
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Updated
Oct 15, 2018 - MATLAB
Spectral embedding using Laplacian Eigenmaps
MATLAB implementations for the courses Analysis of Power Systems (EE 521) and Power System Stability and Control (EE 523) at Washington State University.
Denoise Sparse Low-Rank matrices using convex non-convex priors
In this project, I implemented few .m functions which allow to reorder a sparse matrix read from a Matrix Market file using either the Reverse Cuthill-McKee (RCM) or Nested Dissection (ND) algorithms.
Sparse Coding - RASL
Ising model simulation using the Swendsen-Wang algorithm
In this project, I implemented few .m functions which allow to reorder a sparse matrix read from a Matrix Market file using the Reverse Cuthill-McKee algorithm. In addition to reordering, it is possible to write the reordered sparse matrix to a Matrix Market file, plot it side-by-side with the original, compute few statistics about it and output…
Applied Linear Algebra
Matlab matrix with unlimited size and single-digit precision
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