Browsing Mathematics, Statistics, and Physics by Title
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Quantum machine learning: Preface
(De Gruyter, 20200608)Imparting intelligence to the machines has always been a challenging thoroughfare. Over the years, several intelligent tools have been invented or proposed to deal with the uncertainties encountered by human beings with ... 
A quantum neural network computes its own relative phase
(IEEE, 20130417)Complete characterization of the state of a quantum system made up of subsystems requires determination of relative phase, because of interference effects between the subsystems. For a system of qubits used as a quantum ... 
Quantum neural networks
(Wichita State University, 202005)Quantum computing is becoming a reality, at least on a small scale. However, designing a good quantum algorithm is still a challenging task. This has been a huge major bottleneck in quantum computation for years. In this ... 
Qutritinspired fully selfsupervised shallow quantum learning network for brain tumor segmentation
(Institute of Electrical and Electronics Engineers, 20210513)Classical selfsupervised networks suffer from convergence problems and reduced segmentation accuracy due to forceful termination. Qubits or bilevel quantum bits often describe quantum neural network models. In this article, ... 
Radial and circular slit maps of unbounded multiply connected circle domains
(The Royal Society, 20080708)Infinite product formulae for conformally mapping an unbounded multiply connected circle domain to an unbounded canonical radial or circular slit domain, or to domains with both radial and circular slit boundary components ... 
Radial limits of bounded nonparametric prescribed mean curvature surfaces
(Pacific Journal of Mathematics, 20160622)Consider a solution f is an element of C2 (Omega)of a prescribed mean curvature equation div del f/root 1+vertical bar del f vertical bar(2) = 2H(x, f) in Omega, where Omega subset of R2 is a domain whose boundary ... 
Radial limits of capillary surfaces at corners
(Pacific Journal of Mathematics, 201705)Consider a solution f is an element of C2(Omega) of a prescribed mean curvature equation div del f/root 1+vertical bar del f vertical bar(2) = 2H (x, f) in Omega subset of R2, where Omega is a domain whose boundary ... 
Rational covariance functions for nonstationary random fields
(IEEE, 200802)This correspondence propose rationaltype covariance functions for nonstationary Gaussian stochastic processes or random fields, which are rational functions of given variograms, typically have long range dependence, ... 
Recent developments on the construction of spatiotemporal covariance models
(SpringerVerlag, 2008)This paper briefly surveys some recent advances on how to construct spatiotemporal covariance functions, with the emphasis on the methods which can be used to derive covariance functions but not on a summary list of ... 
Recovery of time dependent volatility coefficient by linearization
(American Institute of Mathematical Sciences, 201403)We study the problem of reconstruction of special time dependent local volatility from market prices of options with different strikes at two expiration times. For a general diffusion process we apply the linearization ... 
Recovery of timedependent volatility in option pricing model
(IOP Publishing Ltd, 20160929)In this paper we investigate an inverse problem of determining the timedependent volatility from observed market prices of options with different strikes. Due to the non linearity and sparsity of observations, an analytical ... 
Regularity of the heat operator on a manifold with cylindrical ends
(Pacific Journal of Mathematics at the University of California, 20040601)We study mapping properties of the heat operator etA of an mth order elliptic bdifferential operator in appropriately defined spaces of whole and fractional (Hölder) derivatives. An application is made to short time ... 
Regularization via Cheeger deformations
(Springer Netherlands, 201512)We show that Cheeger deformations regularize Ginvariant metrics in a very strong sense. 
Reinforcement and backpropagation training for an optical neural network using selflensing effects
(IEEE, 200011)The optical bench training of an optical feedforward neural network, developed by the authors, is presented. The network uses an optical nonlinear material for neuron processing and a trainable applied optical pattern as ... 
Remarks on the behavior of nonparametric capillary surfaces at corners
(Mathematical Sciences Publishers, 201208)Consider a nonparametric capillary or prescribed mean curvature surface z = f(x) defined in a cylinder Omega x R over a twodimensional region Omega whose boundary has a corner at O with an opening angle of 2 alpha. Suppose ... 
Remembering Georges Charpak, Friend, Advisor and Great Physicist
(Elsevier, 2012) 
Restricted estimation of the cumulative incidence functions corresponding to competing risks
(Institute of Mathematical Statistics, 2006)In the competing risks problem, an important role is played by the cumulative incidence function (CIF), whose value at time t is the probability of failure by time t from a particular type of failure in the presence of ... 
Revisiting Kepler444: I. Seismic modeling and inversions of stellar structure
(EDP Sciences, 20191003)Context. The CoRoT and Kepler missions have paved the way for synergies between exoplanetology and asteroseismology. The use of seismic data helps providing stringent constraints on the stellar properties which directly ... 
Ricci tensor under conformal change of metric as an elementary obstruction to certain Einstein metrics
(Wichita State University, 202107)Gregorio RicciCurbastro, (18531925) Bologna, was an Italian mathematician and a professor at the University of Padua from 1880 1925. He was the rst to introduce the systematic theory of tensor analysis in 1887 with a ... 
Role of Cu2+ substitution on the structural and magnetic properties of Niferrite nanoparticles synthesized by the microwavecombustion method
(Elsevier B.V., 201511)Ni1xCuxFe2O4 (x=0.00, 0.05, 0.10, 0.15, 0.20 and 0.25) nanoparticles were successfully synthesized by microwaveinduced combustion process using urea as fuel. The structural and magnetic properties of the samples were ...