4 papers
Physics Informed Deep Learning for Strain Gradient Continuum Plasticity
Ankit Tyagi, Uttam Suman, Mariya Mamajiwala +1
We use a space-time discretization based on physics informed deep learning (PIDL) to approximate solutions of a class of rate-dependent strain gradient plasticity models. The diffe…
An ensemble Kushner-Stratonovich-Poisson filter for recursive estimation in nonlinear dynamical systems
Mamatha Venugopal, Ram Mohan Vasu, Debasish Roy
Despite the numerous applications that may be expeditiously modelled by counting processes, stochastic filtering strategies involving Poisson-type observations still remain somewha…
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…