000			02151 a2200265 4500
999			_c5764 _d5764
005			20250804125420.0
008			250804b ||||| |||| 00| 0 eng d
020			_a9780367820671
041			_aeng
082			_a621.4022 OZI/I
100			_aOzisik, M. Necat _914255
100			_aOrlande, Helcio R. B. _914256
245			_aInverse heat transfer: fundamentals and applications
250			_a2nd ed.
260			_bCRC Press _aBoca Raton _cc2021
300			_axix, 277p.; 26cm.
490			_aHeat Transfer
500			_aTable 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
520			_aThis 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.
650			_aEngineering _91416
650			_aHeat _xTransmission _914225
650			_aHeat engineering _92348
856			_uhttps://doi.org/10.1201/9781003155157
942			_cBK