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20122026
most citedQuantization coefficients in infinite systems

5 citations · 11 across the 45 of their papers we have counts for

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math.DS2026

Linear stability analysis of the Lloyd algorithm on a circle

Silpi Saha, Sangita Jha, Mrinal Kanti Roychowdhury

Lloyd algorithm is the standard iterative method for computing quantizers and codebooks in source coding and vector quantization. In this article, we study the dynamical and stabil…

math.DS2025

Quantization for a condensation system

Shivam Dubey, Mrinal Kanti Roychowdhury, Saurabh Verma

For a given , the quantization dimension of order , if it exists, denoted by , represents the rate at which the th quantization error of order …

math.DS2025

Quantization dimension for a generalized inhomogeneous bi-Lipschitz iterated function system

Shivam Dubey, Mrinal Kanti Roychowdhury, Saurabh Verma

For a given , the quantization dimension of order , if it exists, denoted by , of a Borel probability measure on represents the sp…

math.DS2024

Constrained quantization for the Cantor distribution with a family of constraints

Megha Pandey, Mrinal Kanti Roychowdhury

In this paper, for a given family of constraints and the classical Cantor distribution we determine the constrained optimal sets of -points, th constrained quantization error…

math.DS2023

Constrained quantization for the Cantor distribution

Megha Pandey, Mrinal K. Roychowdhury

The theory of constrained quantization has been recently introduced by Pandey and Roychowdhury. In this paper, they have further generalized their previous definition of constraine…

math.DS2022

Quantization dimensions for the bi-Lipschitz recurrent Iterated function systems

Amit Priyadarshi, Mrinal K. Roychowdhury, Manuj Verma

In this paper, the quantization dimensions of the Borel probability measures supported on the limit sets of the bi-Lipschitz recurrent iterated function systems under the strong op…

math.DS2022

Quantization dimension for self-similar measures of overlapping construction

Mrinal Kanti Roychowdhury, Karoly Simon

Quantization dimension has been computed for many invariant measures of dynamically defined fractals having well separated cylinders, that is, in the cases when the so-called Open…

math.DS2020

Quantization dimension and stability for infinite self-similar measures with respect to geometric mean error

Mrinal K. Roychowdhury, Saurabh Verma

Let be a Borel probability measure associated with an iterated function system consisting of a countably infinite number of contracting similarities and an infinite probability…

math.DS2020

Quantization coefficients for uniform distributions on the boundaries of regular polygons

Joel Hansen, Itzamar Marquez, Mrinal K. Roychowdhury +1

In this paper, we give a general formula to determine the quantization coefficients for uniform distributions defined on the boundaries of different regular -sided polygons insc…

math.DS2020

A study on Quantization Dimension in complete metric spaces

Mrinal K. Roychowdhury, S. Verma

The primary objective of the present paper is to develop the theory of quantization dimension of an invariant measure associated with an iterated function system consisting of fini…

math.DS2019

Local dimensions and quantization dimensions in dynamical systems

Mrinal Kanti Roychowdhury, Bilel Selmi

Let be a Borel probability measure generated by a hyperbolic recurrent iterated function system defined on a nonempty compact subset of . We study the Hausdorff an…

math.DS2018

Optimal quantization for some triadic uniform Cantor distributions with exact bounds

Mrinal Kanti Roychowdhury

Let be a set of three contractive similarity mappings such that for all , and , where $0<r<…

math.DS2018

Quantization dimension for infinite conformal iterated function systems

Jason Atnip, Mrinal Kanti Roychowdhury, Mariusz Urbański

The quantization dimension function for an -conformal measure generated by an infinite conformal iterated function system satisfying the strong open set condition and by a…

math.DS2018★ 2 cited

The quantization of the standard triadic Cantor distribution

Mrinal Kanti Roychowdhury

The quantization scheme in probability theory deals with finding a best approximation of a given probability distribution by a probability distribution that is supported on finitel…

math.DS2018

Optimal Quantization via Dynamics

Joseph Rosenblatt, Mrinal Kanti Roychowdhury

Quantization for probability distributions refers broadly to estimating a given probability measure by a discrete probability measure supported by a finite number of points. We con…

math.DS2017

Canonical sequences of optimal quantization for condensation measures

Dogan Comez, Mrinal Kanti Roychowdhury

We consider condensation measures of the form associated with the system $(\mathcal{S}, (\frac 13, \frac 13, \fr…

math.DS2016★ 1 cited

Asymptotics of the quantization errors for condensation measures

Mrinal Kanti Roychowdhury

Let , where , for all , and be a Borel probabi…

math.DS2016

Least upper bound of the exact formula for optimal quantization of some uniform Cantor distributions

Mrinal Kanti Roychowdhury

The quantization scheme in probability theory deals with finding a best approximation of a given probability distribution by a probability distribution that is supported on finitel…

math.DS2016

Quantization for uniform distributions on stretched Sierpiński triangles

Dogan Comez, Mrinal Kanti Roychowdhury

In this paper, we have considered a uniform probability distribution supported by a stretched Sierpiński triangle. For this probability measure, the optimal sets of -means and t…

math.DS2016

Quantization for infinite affine transformations

Dogan Comez, Mrinal Kanti Roychowdhury

Quantization for a probability distribution refers to the idea of estimating a given probability by a discrete probability supported by a finite set. In this article, we consider a…

math.DS2016

Quantization for a probability distribution generated by an infinite iterated function system

Lakshmi Roychowdhury, Mrinal Kanti Roychowdhury

Quantization for probability distributions concerns the best approximation of a -dimensional probability distribution by a discrete probability with a given number of su…

math.DS2015

Optimal quantization for the Cantor distribution generated by infinite similutudes

Mrinal Kanti Roychowdhury

Let be a Borel probability measure on generated by an infinite system of similarity mappings such that $P=\sum_{j=1}^\infty \frac 1{2^j}…

math.DS2015

Quantization for uniform distributions of Cantor dusts on

Dogan Comez, Mrinal Kanti Roychowdhury

Let be a Borel probability measure on supported by the Cantor dusts generated by a set of , contractive similarity mappings satisfying the strong s…

math.DS2015

Quantization and centroidal Voronoi tessellations for probability measures on dyadic Cantor sets

Mrinal Kanti Roychowdhury

Quantization of a probability distribution is the process of estimating a given probability by a discrete probability that assumes only a finite number of levels in its support. Ce…