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  • Why Not Nonlinear Algebra: Math, Science, Applications And Funding

    Why Not Nonlinear Algebra: Math, Science, Applications And Funding by Shlesinger, Michael F;

      • GET 8% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 45.00
      • 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.

        21 498 Ft (20 475 Ft + 5% VAT)
      • Discount 8% (cc. 1 720 Ft off)
      • Discounted price 19 779 Ft (18 837 Ft + 5% VAT)

    21 498 Ft

    db

    Availability

    Not yet published.

    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 1 January 2026

    • ISBN 9789819814626
    • Binding Hardback
    • No. of pages156 pages
    • Language English
    • 700

    Categories

    Long description:

    What really happens when you submit a research proposal to a government funding agency? Seeking answers, I joined the Office of Naval Research (ONR) for what I thought would be a one-year stint. That year turned into forty.Founded in 1946 as the first government agency dedicated to science and technology funding, ONR has a rich history — one that I witnessed firsthand. But ONR was far more than just reading proposals. It meant working alongside the Naval Research Laboratory, the Naval Warfare Centers, DARPA, and global offices abroad. It meant unexpected opportunities, travel, brilliant colleagues, and visionary leadership.While ONR supported my research in statistical physics, my programs focused on nonlinear science — managing instability, predicting and controlling it, and sometimes even exploiting it. Chaos theory, a prime example of nonlinear dynamics, has led to surprising and far-reaching applications.

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