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Filtering by: Creator Spyridakis, Dimitri E. Remove constraint Creator: Spyridakis, Dimitri E. Committee Member Nguyen, Thinh Remove constraint Committee Member: Nguyen, Thinh Resource Type Dissertation Remove constraint Resource Type: Dissertation

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  • Some communication algorithms for Gaussian and Eisenstein-Jacobi networks

    Creator:
    Albader, Bader
    Abstract:
    Interconnection networks play important roles in designing high performance computers. Recently two new classes of interconnection networks based on the concept of Gaussian and Eisenstein-Jacobi integers were introduced. In this research, efficient routing and broadcasting algorithms for these networks are developed. Furthermore, constructing edge disjoint Hamiltonian cycles in Gaussian networks...
    Resource Type:
    Dissertation
    Full Text:
    integers as follows. Definition 2.1[27]: Given 𝛼 = 𝑎 + 𝑏𝑖 ∈ ℤ[𝑖], we define the graph 𝐺𝛼(𝑉, 𝐸

  • Identifiability-Aware Joint Sparse Error Correction For Robust State Estimation

    Creator:
    Kibria, Sharmin
    Abstract:
    We study joint nonlinear state estimation with multi-period measurement vectors that are potentially corrupted by sparse gross errors. The identifiability-aware approach is proposed to leverage common characteristics of fundamentally identifiable gross errors to enhance error correction performance. First, we derive a necessary rank condition that the sparsity pattern of any...
    Resource Type:
    Dissertation
    Full Text:
    ≥ n) based on the following measurement model z = h(x) + e, (1.1) where h(·) is a nonlinear

  • Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

    Creator:
    Vu, Trung
    Abstract:
    Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...
    Resource Type:
    Dissertation
    Full Text:
    , region of conver- 17 F ig u re 1. 4: A n ov er v ie w of th is d is se rt at io n . T h e re se