Ozisik, M. Necat Orlande, Helcio R. B.
Inverse heat transfer: fundamentals and applications - 2nd ed. - Boca Raton CRC Press c2021 - xix, 277p.; 26cm. - Heat Transfer .
Table of Contents:
Part I: Introduction and Parameter Estimation
1. Basic Concepts
2. Parameter Estimation: Minimization of an Objective Function without Prior Information about the Unknown Parameters
3. Parameter Estimation: Minimization of an Objective Function with Prior Information about the Unknown Parameters
4. Parameter Estimation: Stochastic Simulation with Prior Information about the Unknown Parameters
Part II: Function Estimation
5. Function Estimation: Minimization of an Objective Functional without Prior Information about the Unknown Functions
6. Function Estimation: Solution within the Bayesian Framework of Statistics with Prior Information about the Unknown Functions
Part III: State Estimation
7. State Estimation: Kalman Filter
8. State Estimation: Particle Filter
This book introduces the fundamental concepts of inverse heat transfer solutions and their applications for solving problems in convective, conductive, radiative, and multi-physics problems. Inverse Heat Transfer: Fundamentals and Applications, Second Edition includes techniques within the Bayesian framework of statistics for the solution of inverse problems. By modernizing the classic work of the late Professor M. Necati Özisik and adding new examples and problems, this new edition provides a powerful tool for instructors, researchers, and graduate students studying thermal-fluid systems and heat transfer.
9780367820671
Engineering
Heat--Transmission
Heat engineering
621.4022 OZI/I
Inverse heat transfer: fundamentals and applications - 2nd ed. - Boca Raton CRC Press c2021 - xix, 277p.; 26cm. - Heat Transfer .
Table of Contents:
Part I: Introduction and Parameter Estimation
1. Basic Concepts
2. Parameter Estimation: Minimization of an Objective Function without Prior Information about the Unknown Parameters
3. Parameter Estimation: Minimization of an Objective Function with Prior Information about the Unknown Parameters
4. Parameter Estimation: Stochastic Simulation with Prior Information about the Unknown Parameters
Part II: Function Estimation
5. Function Estimation: Minimization of an Objective Functional without Prior Information about the Unknown Functions
6. Function Estimation: Solution within the Bayesian Framework of Statistics with Prior Information about the Unknown Functions
Part III: State Estimation
7. State Estimation: Kalman Filter
8. State Estimation: Particle Filter
This book introduces the fundamental concepts of inverse heat transfer solutions and their applications for solving problems in convective, conductive, radiative, and multi-physics problems. Inverse Heat Transfer: Fundamentals and Applications, Second Edition includes techniques within the Bayesian framework of statistics for the solution of inverse problems. By modernizing the classic work of the late Professor M. Necati Özisik and adding new examples and problems, this new edition provides a powerful tool for instructors, researchers, and graduate students studying thermal-fluid systems and heat transfer.
9780367820671
Engineering
Heat--Transmission
Heat engineering
621.4022 OZI/I