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  • Hiroyuki Sato
    978-3-030-62391-3
    2021
    Edition 1
    • Details the Riemannian conjugate gradient method so that the reader can make light work of implementing the algorithm
    • An accessible journey from unconstrained optimization in Euclidean space to Riemannian optimization theory
    • Covers applications in control, statistics, and numerical linear algebra that can be extended to the reader’s interests

    €140

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