ICM-90 Satellite Conference Proceedings

Contents: Regularization Method: H.W. Engl, R.S. Anderssen: The Role of Linear Functionals in Improving Convergence Rates for Parameter Identification via Tikhonov Regularization. C.W. Groetsch: Some Integral Equations of the First Kind in Mechanics and Regularization of Ill-posed Linear Operator Equations. B. Hofmann: Descriptive Regularization for Some Ill-posed Integral Equations. T. Kitagawa: Methods in Estimating the Optimal Regularization Parameter.- Inverse Problems Related with the Scattering: R. Kress, A. Zinn: Three Dimensional Reconstructions from Near-field Data in Obstacle Scattering. S. Kubo: Requirements for Uniqueness of Crack Identification from Electric Potential Distributions. N. Nishimura: Regularized Integral Equations for Crack Shape Determination Prob- lems. K. Ohnaka: Identification of the External Force of Wave Equations from Noisy Observations. K. Ohtsuka: Variational Derivative along Crack Extension of Hypersingular Operators. K. Onishi: Numerical Identification in Inverse Scattering Problems. H. Soga: Representation of the Scattering Kernel and Singularities of that Kernel.- Synthesis and Optimization: H.T. Banks, J.G. Wade: A Convergence Framework for Approximation Methods for DPS Estimation Problems. S. Nakagiri, K. Suzuki: Shift Synthesis of Structural Responses Based on Generalized Inverse Formulation. S.I. Nakagiri: Identifiability of Coefficient Matrices, Time Delays and Initial Functions of Functional Differential Equations. S. Omatu: Parameter Identification for a Distributed Parameter System with Application to Air Pollution Estimation. A. Sasamoto, H. Imai, H. Kawarada: A Practical Method for an Ill-Conditioned Optimal Shape Design of a Vessel in Which Plasma is Confined.- Mathematical Theory: C. Högfors, S.I. Andersson: Application of Inverse Spectral Geometry to Elastodynamics. G. Nakamura, G. Uhlmann: Uniqueness for Identifying Lame Moduli by Dirichlet to Neumann Map. A.G. Ramm: Property C and Inverse Problems. Z. Sun, G. Uhlmann: Generic Uniqueness for Determined Inverse Problem in 2 Dimensions.- Program.