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  • Alexander J. Zaslavski
    978-3-030-60300-7
    2020
    Edition 1
    • Studies the influence of computational errors for the generalized subgradient projection algorithm
    • Contains solutions to a number of difficult and interesting problems in the numerical optimization
    • Useful for experts in applications of optimization, engineering, and economics
    • Focuses on the subgradient projection algorithm for minimization of convex and nonsmooth functions and for computing the saddle points of convex-concave functions under the presence of computational errors

    €100

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