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    Principles and Applications of Numerical Integration Methods: From Scientific Computation to Python Implementation

    Principles and Applications of Numerical Integration Methods by Mbobi, Dr Aimé;

    From Scientific Computation to Python Implementation

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      • Publisher's listprice EUR 96.90
      • 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.

        37 849 Ft (36 046 Ft + 5% VAT)
      • Discount 5% (cc. 1 892 Ft off)
      • Discounted price 35 956 Ft (34 244 Ft + 5% VAT)

    37 849 Ft

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    Availability

    printed on demand

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    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 LAP Lambert Academic Publishing
    • Date of Publication 1 January 2024
    • Number of Volumes Großformatiges Paperback. Klappenbroschur

    • ISBN 9786207653874
    • Binding Paperback
    • No. of pages312 pages
    • Size 220x150 mm
    • Language English
    • 492

    Categories

    Long description:

    Dive into a captivating journey through the complex world of integral calculus with this second volume, "Principles and Applications of Numerical Integration Methods", part of a two-volume series.This tome focuses on numerical integration methods and their implementation in Python. It follows the first volume which explores analytical methods in integral calculus. Together, these two volumes offer a comprehensive approach to mastering integral calculus.Designed for a broad audience, whether you're a novice or an expert, this book provides a thorough and accessible approach to mastering numerical methods with little to no external assistance. It delves deeply into methods such as rectangles, midpoint, trapezoids, Simpson's, Weddle's, and Gauss's, while emphasizing precision and error management. Each chapter is enriched with clear examples and practical exercises, accompanied by detailed solutions to enhance understanding.The great strength of this series lies in the rigorous validation of results obtained by analytical resolution against those obtained using numerical methods, which are further confirmed by computer-generated results.

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