25 citations · 38 across the 7 of their papers we have counts for
7 papers
Stochastic Approximation and Brownian Repulsion based Evolutionary Search
Rajdeep Dutta, T Venkatesh Varma, Saikat Sarkar +4
Many global optimization algorithms of the memetic variety rely on some form of stochastic search, and yet they often lack a sound probabilistic basis. Without a recourse to the po…
Fluctuation Theorem as a special case of Girsanov Theorem
Annwesha Dutta, Saikat Sarkar
Stochastic thermodynamics is an important development in the direction of finding general thermodynamic principles for non-equilibrium systems. We believe stochastic thermodynamics…
Internal noise driven generalized Langevin equation from a nonlocal continuum model
Saikat Sarkar, Shubhankar Roy Chowdhury, Debasish Roy +1
Starting with a micropolar formulation, known to account for nonlocal microstructural effects at the continuum level, a generalized Langevin equation (GLE) for a particle, describi…
A global optimization paradigm based on change of measures
Saikat Sarkar, Debasish Roy
A global optimization framework, acronymed COMBEO (Change OfMeasure Based Evolutionary Optimization), is proposed. An important aspect in the development is a set of derivative-fre…
Evolutionary global optimization posed as a randomly perturbed martingale problem and applied to parameter recovery of chaotic oscillators
Saikat Sarkar, Debasish Roy, Ram Mohan Vasu
A new global stochastic search, guided mainly through derivative-free directional information computable from the sample statistical moments of the design variables within a Monte…
An Ensemble Kushner-Stratonovich (EnKS) Nonlinear Filter: Additive Particle Updates in Non-Iterative and Iterative Forms
Saikat Sarkar, Debasish Roy
Despite the cheap availability of computing resources enabling faster Monte Carlo simulations, the potential benefits of particle filtering in revealing accurate statistical inform…