Sumit Vashishtha
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View article: Leveraging priors on distribution functions for multi-arm bandits
Leveraging priors on distribution functions for multi-arm bandits Open
We introduce Dirichlet Process Posterior Sampling (DPPS), a Bayesian non-parametric algorithm for multi-arm bandits based on Dirichlet Process (DP) priors. Like Thompson-sampling, DPPS is a probability-matching algorithm, i.e., it plays an…
View article: Bistability in the sunspot cycle
Bistability in the sunspot cycle Open
A direct dynamical test of the sunspot cycle is carried out to indicate that a
stochastically forced nonlinear oscillator characterizes its dynamics. The sunspot series is then decomposed into its eigen time-delay coordinates. The rele…
View article: Bistability in the sunspot cycle
Bistability in the sunspot cycle Open
A direct dynamical test of the sunspot-cycle is carried out which indicates that a stochastically forced non-linear oscillator characterizes its dynamics. The sunspot series is then decomposed into its eigen time-delay coordinates. The ana…
View article: A Critical Analysis of Anti-defection Laws in India
A Critical Analysis of Anti-defection Laws in India Open
The Anti-defection statute has a great relevance in Indian democracy. Political defections in India persist despite the Anti-Defection Laws being put into place, which begs the question of how efficient these laws are at preserving politic…
View article: Large-eddy simulations of turbulent thermal convection using renormalized viscosity and thermal diffusivity
Large-eddy simulations of turbulent thermal convection using renormalized viscosity and thermal diffusivity Open
In this paper we employ renormalized viscosity and thermal diffusivity to construct a subgrid-scale model for large eddy simulation (LES) of turbulent thermal convection. For LES, we add νrenâΠu1/3(π/Δ)-4/3 to the kinematic viscosity; here…
View article: Large eddy simulations of turbulent thermal convection using renormalized viscosity and thermal diffusivity
Large eddy simulations of turbulent thermal convection using renormalized viscosity and thermal diffusivity Open
In this paper we employ renormalized viscosity and thermal diffusivity to construct a subgrid-scale model for large eddy simulation (LES) of turbulent thermal convection. For LES, we add $ν_\mathrm{ren} \propto Π_u^{1/3} (π/Δ)^{-1/3}$ to t…
View article: MINING BIG DATA FOR EFFICIENT DATA RETRIEVAL: A SURVEY
MINING BIG DATA FOR EFFICIENT DATA RETRIEVAL: A SURVEY Open
The vast majority of work related to different data handling tasks is confronting a blast in the information that they need to gather and process so as to direct research. This is valid for both: investigative areas managing trial informat…
View article: Large eddy simulations using renormalized viscosity
Large eddy simulations using renormalized viscosity Open
In this paper, we have used renormalized viscosity for performing large eddy simulations (LES) of decaying homogeneous and isotropic turbulence inside a periodic cube on coarse grids ($32^3$, $64^3$ and $128^3$) at initial Taylor Reynolds …
View article: Large eddy simulations using recursive renormalization-group based eddy viscosity
Large eddy simulations using recursive renormalization-group based eddy viscosity Open
We have used renormalized viscosity derived using `self-consistent' recursive renormalization-group method to perform large eddy simulations (LES) of decaying homogeneous and isotropic turbulence inside a periodic cubical box on coarse gri…