Advances in High-Order Predictive Modeling
eBook - ePub

Advances in High-Order Predictive Modeling

Methodologies and Illustrative Problems

  1. 424 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Advances in High-Order Predictive Modeling

Methodologies and Illustrative Problems

About this book

Continuing the author's previous work on modeling, this book presents the most recent advances in high-order predictive modeling. The author begins with the mathematical framework of the 2nd-BERRU-PM methodology, an acronym that designates the "second-order best-estimate with reduced uncertainties (2nd-BERRU) predictive modeling (PM)." The 2nd-BERRU-PM methodology is fundamentally anchored in physics-based principles stemming from thermodynamics (maximum entropy principle) and information theory, being formulated in the most inclusive possible phase-space, namely the combined phase-space of computed and measured parameters and responses.

The 2nd-BERRU-PM methodology provides second-order output (means and variances) but can incorporate, as input, arbitrarily high-order sensitivities of responses with respect to model parameters, as well as arbitrarily high-order moments of the initial distribution of uncertain model parameters, in order to predict best-estimate mean values for the model responses (i.e., results of interest) and calibrated model parameters, along with reduced predicted variances and covariances for these predicted responses and parameters.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Advances in High-Order Predictive Modeling by Dan Gabriel Cacuci in PDF and/or ePUB format, as well as other popular books in Mathématiques & Mathématiques appliquées. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2024
eBook ISBN
9781040193228
Edition
0
Topic
Mathématiques
Subtopic
Mathématiques appliquées

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. About the Author
  9. Chapter 1 2nd-BERRU-PM: 2nd-Order Maximum Entropy Predictive Modeling Methodology for Reducing Uncertainties in Predicted Model Responses and Parameters
  10. Chapter 2 Application of the 2nd-BERRU-PM Methodology to the PERP Reactor Physics Benchmark
  11. Chapter 3 A Novel Generic 4th-Order Moment-Constrained Maximum Entropy Distribution
  12. Chapter 4 4th-BERRU-PM: 4th-Order Maxent Predictive Modeling Methodology for Combining Measurements with Computations to Obtain Best-Estimate Results with Reduced Predicted Uncertainties
  13. Chapter 5 Application of the 4th-BERRU-PM Methodology to the PERP Reactor Physics Benchmark
  14. Chapter 6 4th-Order Comprehensive Adjoint Sensitivity Analysis Methodology: Mathematical Framework
  15. Chapter 7 Polyethylene Reflected Plutonium (PERP) Reactor Physics Benchmark: Sensitivities of the Leakage Response to Total Cross-Sections
  16. References
  17. Index