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    Trigonometric And Hyperbolic Generated Approximation Theory

    Trigonometric And Hyperbolic Generated Approximation Theory by Anastassiou, George A;

    Series: Series On Concrete And Applicable Mathematics; 24;

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      • Publisher's listprice GBP 180.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        91 098 Ft (86 760 Ft + 5% VAT)
      • Discount 8% (cc. 7 288 Ft off)
      • Discounted price 83 810 Ft (79 819 Ft + 5% VAT)

    91 098 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher World Scientific
    • Date of Publication 7 January 2025

    • ISBN 9789811293856
    • Binding Hardback
    • No. of pages840 pages
    • Language English
    • 677

    Categories

    Long description:

    This monograph is a testimony of the impact over Computational Analysis of some new trigonometric and hyperbolic types of Taylor's formulae with integral remainders producing a rich collection of approximations of a very wide spectrum.This volume covers perturbed neural network approximations by themselves and with their connections to Brownian motion and stochastic processes, univariate and multivariate analytical inequalities (both ordinary and fractional), Korovkin theory, and approximations by singular integrals (both univariate and multivariate cases). These results are expected to find applications in the many areas of Pure and Applied Mathematics, Computer Science, Engineering, Artificial Intelligence, Machine Learning, Deep Learning, Analytical Inequalities, Approximation Theory, Statistics, Economics, amongst others. Thus, this treatise is suitable for researchers, graduate students, practitioners and seminars of related disciplines, and serves well as an invaluable resource for all Science and Engineering libraries.

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