Inverse Problems in Science and Engineering · 2017 · 37 citations · 41 references
ComputingComputational EngineeringComputational ElectromagneticsComputational MechanicsComputational PhysicsElectromagnetic Inverse ProblemsShape FunctionsBasis FunctionsIll-posed Problem RegularizationIll-posedness AnalysisInterpolation By Radial Basis FunctionsRadial Basis Function Shape FunctionsRegularization
In this paper, the spectral meshless radial point interpolation (SMRPI) technique is applied to the inverse time-dependent force function in the wave equation on regular and irregular domains. The SMRPI is developed for identifying the force function which satisfies in the wave equation subject to the integral overspecification over a portion of the spatial domain or to the overspecification at a point in the spatial domain. This method is based on erudite combination of meshless methods and spectral collocation techniques. The point interpolation method with the help of radial basis functions is used to construct shape functions which play as basis functions in the frame of SMRPI. Since the problem is known to be ill-posed, Thikhonov regularization strategy is employed to solve effectively the discrete ill-posed resultant linear system. Three numerical examples are tested to show that numerical results are accurate for exact data and stable with noisy data.
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Solutions of Ill-Posed Problems.
John B. Bell, V. Y. Arsenin · Mathematics of Computation · 1978 · 8.2K citations
Optical tomography in medical imaging
Simon Arridge · Inverse Problems · 1999 · 2.5K citations