Applications of the reproducing kernel theory to inverse problems and their engineering approach

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We developed a new type of Thihonov regularization combined with the theory of reproducing kernels. Using our method of regularization we have challenged some famous and historically difficult inverse problems. Furthermore we designed concrete algorithms for solving those problems. In particular we studied real inversion of Laplace transform, solving method by singular value decomposition, representation of inverse transform of nonlinear mapping and separation of mixed signals. In addition for engineer in the field we filed a patent application of our algorithm for inversion of Laplace transform.