A. K. Nandakumaran
Indian Institute of Science
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Publication
Featured researches published by A. K. Nandakumaran.
Journal of The Optical Society of America A-optics Image Science and Vision | 2009
Hari M. Varma; A. K. Nandakumaran; Ram Mohan Vasu
We discuss the inverse problem associated with the propagation of the field autocorrelation of light through a highly scattering object like tissue. In the first part of the work, we reconstruct the optical absorption coefficient mu(a) and particle diffusion coefficient D(B) from simulated measurements which are integrals of a quantity computed from the measured intensity and intensity autocorrelation g(2)(tau) at the boundary. In the second part we recover the mean square displacement (MSD) distribution of particles in an inhomogeneous object from the sampled g(2)(tau) measured on the boundary. From the MSD, we compute the storage and loss moduli distributions in the object. We have devised computationally easy methods to construct the sensitivity matrices which are used in the iterative reconstruction algorithms for recovering these parameters from the measurements. The results of the reconstruction of mu(a), D(B), MSD and the viscoelastic parameters, which are presented, show reasonably good position and quantitative accuracy.
Siam Journal on Control and Optimization | 2015
A. K. Nandakumaran; Ravi Prakash; Bidhan Chandra Sardar
An optimal control problem in a two-dimensional domain with a rapidly oscillating boundary is considered. The main features of this article are on two points, namely, we consider periodic controls in the thin periodic slabs of period
Journal of The Optical Society of America A-optics Image Science and Vision | 2011
Hari. M. Varma; Kuriyakkattil P. Mohanan; Nuutti Hyvönen; A. K. Nandakumaran; Ram Mohan Vasu
\epsilon >0
Journal of The Optical Society of America A-optics Image Science and Vision | 2010
Hari M. Varma; Biswanath Banerjee; Debasish Roy; A. K. Nandakumaran; Ram Mohan Vasu
, a small parameter, and height
Numerical Functional Analysis and Optimization | 2014
A. K. Nandakumaran; Ravi Prakash; Jean-Pierre Raymond
O(1)
Numerical Functional Analysis and Optimization | 2005
A. K. Nandakumaran; Raju K. George
in the oscillatory part, and the controls are characterized using unfolding operators. We then do a homogenization analysis of the optimal control problems as
Numerical Functional Analysis and Optimization | 2015
Sudipto Chowdhury; Thirupathi Gudi; A. K. Nandakumaran
\epsilon \rightarrow 0
Journal of The Optical Society of America A-optics Image Science and Vision | 2015
Kuriyakkattil P. Mohanan; A. K. Nandakumaran; Debasish Roy; Ram Mohan Vasu
with
Archive | 2017
A. K. Nandakumaran; Raju K. George; P. S. Datti
L^2
Journal of Mathematical Analysis and Applications | 2007
Raju K. George; Dimplekumar N. Chalishajar; A. K. Nandakumaran
as well as Dirichlet (gradient-type) cost functionals.