Arnab Ganguly

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We report the polarizing behavior of aligned Ni nanoparticles (NPs) having average diameter of 165±15 nm in ~210 μm thick polyvinyl alcohol (PVA) matrix in the frequency range of 0.2-1.6 THz. The NPs have been prepared via a wet chemical route and then aligned in PVA film by using an external magnetic field. When the polarization of THz electric field is(More)
The fields of succinct data structures and compressed text indexing have seen quite a bit of progress over the last 15 years. An important achievement, primarily using techniques based on the Burrows-Wheeler Transform (BWT), was obtaining the full functionality of suffix tree in the optimal number of bits. A crucial property that allows the use of BWT for(More)
J o u r n a l o f P r o b a b i l i t y Electron. Abstract The paper deals with convergence of solutions of a class of stochastic differential equations driven by infinite-dimensional semimartingales. The infinite-dimensional semimartingales considered in the paper are Hilbert-space valued. The theorems presented generalize the convergence result obtained(More)
Given a string X[1, n] and a position k ∈ [1, n], the Shortest Unique Substring of X covering k, denoted by S k , is a substring X[i, j] of X which satisfies the following conditions: (i) i ≤ k ≤ j, (ii) i is the only position where there is an occurrence of X[i, j], and (iii) j − i is minimized. The best-known algorithm [Hon et al., ISAAC 2015] can find S(More)
Moderate Deviation Principles for Stochastic Differential Equations with Jumps Report Title Moderate deviation principles for stochastic differential equations driven by a Poisson random measure (PRM) in finite and infinite dimensions are obtained. Proofs are based on a variational representation for expected values of positive functionals of a PRM. 3
Let H be a separable Banach space. We considered the sequence of stochastic integrals {X n− · Y n } where {Y n } is a sequence of infinite dimesnional H # semimartingales and X n are H valued cadlag processes. Assuming that {(X n , Y n)} satisfies large deviation principle, a uniform exponential tightness condition is described under which large deviation(More)