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a-petr/README.md

Hello,

I am a machine learning specialist at ClothingTech LLC. My interests are in everything machine learning. Part of my research concerns signal reconstruction where I am trying to improve existing methods, particularly those related to simultaneous reconstruction of multiple signals using sparsity. My other work concerns the small size of neural networks, more specifically, how to achieve them.

You can find additional info on my website at armenakpetrosyan.com.

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  1. math3215spring2021 math3215spring2021 Public

    Jupyter Notebook 1

  2. OWL OWL Public

    Code Repository for "Orthogonally Weighted Regularization for Rank-Aware Joint Sparse Recovery: Algorithm and Analysis" Authors: A. Petrosyan, K. Pieper, H. Tran

    Python 1

  3. This Python code implements a sparse... This Python code implements a sparse convex hull approximation algorithm. The algorithm uses a greedy approach to initially select a subset of points from a given set to approximate the convex hull. Once the target number of points is reached, it further refines the selection by iteratively adding and removing points to enhance the quality of the convex hull approximation.
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    from scipy.optimize import linprog
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    import numpy as np
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    from scipy.spatial import ConvexHull
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    import matplotlib.pyplot as plt
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