Inverse Engineering Handbook

摘要: SEQUENTIAL METHODS IN PARAMETER ESTIMATION James V. Beck, Professor Emeritus, Michigan State University, USA Abstract Introduction Parameter vs. Function Estimation Common Research Paradigms in Heat Transfer Sequential over Experiments for Linear Problems Ill-Posed Problems: Tikhonov Regularization Matrix Form of Taylor Series Expansion Gauss Method Minimization Nonlinear Confidence Regions Optimal Summary References FUNCTION SPECIFICATION METHOD USING FUTURE TIMES FOR Keith A. Woodbury, The University Alabama, Nomenclature THE ADJOINT TO COMPUTE NUMERICAL SOLUTIONS OF INVERSE PROBLEMS Yvon Jarny, Ecole Polytechnique de L'Universite Nantes, France Modelling Equations Least Squares and Gradient Algorithms Lagrange Multipliers Adjoint to Minimize the LS-Criterion with Algebraic Integral Equation LS-Criteria Ordinary Differential as Constraints Partial Conclusion MOLLIFICATION AND SPACE MARCHING Diego Murio, Cincinnati, Mollification In R1 Data Smoothing Identification Parameters 1-D IHCP Discrete R2 HEAT CONDUCTION MONTE CARLO Haji-Sheikh, Texas at Arlington, Monte Carlo Random Walks Direct Simulation Inverse Conduction CORRELATED DATA STOCHASTIC PROCESSES Ashley Emery, Washington, Correlation Its Effect on Precision Linearization Determination Ergodic Stationary Processes Uncertain Bayesian Probabilities, Prior Information, Conclusions OPTIMAL EXPERIMENT DESIGN Aleksey Nenarokomov, Moscow Aviation Institute, Russia Brief Historical Analysis Background Survey Experiment Design Problem Statement Iterative Thermosensors Installation Time Signals Readings Lumped Systems BOUNDARY ELEMENT TECHNIQUES Thomas J. Martin, Pratt & Whitney Engine Company George S. Dulikravich, Boundary Conditions Fluid Flow Surface Tractions Deformations Elastostatics Detection Sources Transient