Skip to main content

Shopping Cart

You're getting the VIP treatment!

Item(s) unavailable for purchase
Please review your cart. You can remove the unavailable item(s) now or we'll automatically remove it at Checkout.
itemsitem
itemsitem

Recommended For You

Loading...
  • Real Time Reduced Order Computational Mechanics

    Parametric PDEs Worked Out Problems

    Series series Mathematics and Statistics (R0)
    The book is made up by several worked out problems concerning the application of reduced order modeling to different parametric partial differential equations problems with an increasing degree of complexity.This work is based on some experience acquired during lectures and exercises in classes taught at SISSA Mathematics Area in the Doctoral Programme “Mathematical Analysis, Modelling and ... Read more

    $107.09 USD

  • Emerging Technologies in Computational Sciences for Industry, Sustainability and Innovation

    Math to Product

    Series series Springer Nature Proceedings excluding Computer Science
    This book presents up-to-date state of the art for industrial mathematics and covers emerging topics in computational sciences. Mathematical models and computational methods have gained an increasing importance in the simulation of real-world and industrial problems. The employment of such methodologies deeply changed the standard ways of conceiving daily industrial production and strategies for ... Read more

    $224.99 USD

  • Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators

    RAMSES

    Series series Mathematics and Statistics (R0)
    This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, Approximation theory, Machine learning, Surrogates, Emulators, Simulators) in the setting of parametrized partial differential equations also with sparse and noisy data in high-dimensional ... Read more

    $143.09 USD

  • Numerical Methods for Flows

    FEF 2017 Selected Contributions

    Series series Mathematics and Statistics (R0)
    This book includes selected contributions on applied mathematics, numerical analysis, numerical simulation and scientific computing related to fluid mechanics problems, presented at the FEF-“Finite Element for Flows” conference, held in Rome in spring 2017. Written by leading international experts and covering state-of-the-art topics in numerical simulation for flows, it provides fascinating ... Read more

    $89.99 USD

  • Quantification of Uncertainty: Improving Efficiency and Technology

    QUIET selected contributions

    Series series Mathematics and Statistics (R0)
    This book explores four guiding themes – reduced order modelling, high dimensional problems, efficient algorithms, and applications – by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial differential equations with random inputs. Highlighting the most promising approaches for (near-) future ... Read more

    $89.09 USD

  • Mathematical and Numerical Modeling of the Cardiovascular System and Applications

    Series series Mathematics and Statistics (R0)
    The book comprises contributions by some of the most respected scientists in the field of mathematical modeling and numerical simulation of the human cardiocirculatory system. It covers a wide range of topics, from the assimilation of clinical data to the development of mathematical and computational models, including with parameters, as well as their efficient numerical solution, and both in-vivo ... Read more

    $89.99 USD

  • Model Reduction of Parametrized Systems

    Series series Mathematics and Statistics (R0)
    The special volume offers a global guide to new concepts and approaches concerning the following topics: reduced basis methods, proper orthogonal decomposition, proper generalized decomposition, approximation theory related to model reduction, learning theory and compressed sensing, stochastic and high-dimensional problems, system-theoretic methods, nonlinear model reduction, reduction of coupled ... Read more

    $134.99 USD

  • Reduced Order Methods for Modeling and Computational Reduction

    Series series Mathematics and Statistics (R0)
    This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics.Several topics are covered, including: design, ... Read more

    $89.09 USD

  • Model Order Reduction and Applications

    Cetraro, Italy 2021

    Series series Mathematics and Statistics (R0)
    This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in various fields.Consisting of four contributions presented at the CIME summer school, the book presents several points of ... Read more

    $58.49 USD

People who read these also enjoyed

  • Signal Processing for Neuroscientists, A Companion Volume

    Advanced Topics, Nonlinear Techniques and Multi-Channel Analysis

    The popularity of signal processing in neuroscience is increasing, and with the current availability and development of computer hardware and software, it is anticipated that the current growth will continue. Because electrode fabrication has improved and measurement equipment is getting less expensive, electrophysiological measurements with large numbers of channels are now very common. In ... Read more

    $70.99 USD

  • Artificial Intelligence For High Energy Physics

    The Higgs boson discovery at the Large Hadron Collider in 2012 relied on boosted decision trees. Since then, high energy physics (HEP) has applied modern machine learning (ML) techniques to all stages of the data analysis pipeline, from raw data processing to statistical analysis. The unique requirements of HEP data analysis, the availability of high-quality simulators, the complexity of the data ... Read more

    $142.99 USD

  • Advances in Nonlinear Observer Design for State and Parameter Estimation in Energy Systems

    Series series Intelligent Technologies and Robotics (R0)
    This book reports on a set of advances relating to nonlinear observer design, with a special emphasis on high-gain observers. First, it covers the design of filters and their addition to the observer for reducing noise, a topic that has been so far neglected in the literature. Further, it describes the adaptive re-design of nonlinear observers to reduce the effect of parametric uncertainty. It ... Read more

    $179.99 USD