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https://www.nist.gov/people/alfred-s-carasso
Alfred S Carasso (Fed)
Achievements include significant contributions to the deconvolution problem; and to such related areas of mathematical analysis as ill-posed continuation, time-reversed parabolic nist-equations, holomorphic semigroup theory, and first kind integral nist-equations; invention of slowly divergent schemes and backward beam formalism for solving inverse diffusion nist-equations; invention of stabilized explicit time-marching computational schemes for multidimensional, nonlinear, ill-posed, backward parabolic nist-equations; invention of APEX and BEAK methods in blind image deconvolution; development of SECB constraint for extensive class of ill-posed PDE problems; creation of Poisson singular integral method in Lipschitz space characterization and recovery of non smooth imagery; applications in system identification, nondestructive evaluation, inverse heat transfer, image reconstruction;enhancement of Helium ion microscope nanoscale imagery, and of forensic latent fingerprints; discovery of useful property of ill-posed, time-reversed, fractional and logarithmic diffusion nist-equations, in blind deconvolution of Hubble space telescope imagery, scanning electron micrographs, MRI and PET brain scans; patented image reconstruction procedures.
With an artificial example of a 2D nonlinear advection diffusion equation on the unit square this paper considers the data assimilation problem of finding
Richardson's leapfrog scheme is notoriously unconditionally unstable in well-posed, forward, linear dissipative evolution equations. Remarkably, that scheme can
Abstract. This paper constructs an unconditionally stable explicit difference scheme, marching backward in time, that can solve an interesting, but limited
This paper constructs an unconditionally stable explicit difference scheme, marching backward in time, that can solve an important, but limited, class of time