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Asish Mukhopadhyay

dblp:20/1128 · DBLP profile ↗
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34ranked-venue papers
10as first author
0since 2021 · last 2018
0000-0002-4953-5626ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 13 · 3 first-authorApplied, interdisciplinary, general and emerging computing · 11 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 6 · 1 first-authorArtificial intelligence and machine learning · 3 · 2 first-authorDatabases, data management, data science and information retrieval · 3 · 2 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
4 papers
Computational geometry · 79% Algorithms and data structures · 21%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational geometry
voronoi diagram
0.011997
Voronoi Diagrams for Direction-Sensitive Distances · SCG 1997
Computational geometry › combinatorial geometry
centerpoint
0.011993
Computing a Centerpoint of a Finite Planar Set of Points in Linear Time · SCG 1993
Computational geometry › discrete geometry
centerpoint computation
0.011993
Computing a Centerpoint of a Finite Planar Set of Points in Linear Time · SCG 1993
Computational geometry
geometric optimization
0.011991
Optimal Algorithms for Some Smallest Intersection Radius Problems (Extended Abstract) · SCG 1991
Algorithms and data structures › symbolic computation
rational function arithmetic
0.011987
A Solution to the Polynomial Hensel Code Conversion Problem · IEEE Trans. Computers 1987
Algorithms and data structures
symbolic computation
0.011987
A Solution to the Polynomial Hensel Code Conversion Problem · IEEE Trans. Computers 1987

Methods — techniques the papers use, named apart from their topics

distance function generalization · 0.0prune-and-search · 0.0ham-sandwich cut · 0.0polynomial hensel code · 0.0modular arithmetic · 0.0
YearPublicationVenuePosition
2018 Molecular Structure Determination in the Phillips' Model: A Degree of Freedom Approach
Udayamoorthy Navaneetha Krishnan, Zamilur Rahman, Asish Mukhopadhyay, Yash P. Aneja
ICCSA (2)3
2017 A Distance Matrix Completion Approach to 1-Round Algorithms for Point Placement in the Plane
Zamilur Rahman, Asish Mukhopadhyay, Yash P. Aneja, Cory Jean
ICCSA (2)2
2016 Point Placement in an Inexact Model with Applications
Kishore Kumar Varadharajan Kannan, Pijus Kumar Sarker, Amangeldy Turdaliev, Asish Mukhopadhyay
ICCSA (1)4
2015 Randomized Versus Deterministic Point Placement Algorithms: An Experimental Study
Asish Mukhopadhyay, Pijus Kumar Sarker, Kishore Kumar Varadharajan Kannan
ICCSA (2)1
2015 Multiple Alignment of Structures Using Center Of ProTeins
Kaushik Roy 0006, Satish Panigrahi, Asish Mukhopadhyay
ISBRA3
2014 Closest-Point Queries for Complex Objects
Eugene Greene, Asish Mukhopadhyay
ICCSA (2)2
2014 An Eigendecomposition Method for Protein Structure Alignment
Satish Panigrahi, Asish Mukhopadhyay
ISBRA2
2013 An Incremental Linear Programming Based Tool for Analyzing Gene Expression Data
Satish Panigrahi, Md. Shafiul Alam, Asish Mukhopadhyay
ICCSA (5)3
2013 From approximate balls to approximate ellipses
Asish Mukhopadhyay, Eugene Greene, Animesh Sarker, Tom Switzer
J. Glob. Optim.1
2012 The ordinary line problem revisited
Asish Mukhopadhyay, Eugene Greene
Comput. Geom.1
2010 Approximate Ellipsoid in the Streaming Model
Asish Mukhopadhyay, Animesh Sarker, Tom Switzer
COCOA (2)1
2009 Editorial CCCG 2005
Prosenjit Bose, Asish Mukhopadhyay
Comput. Geom.2
2008 An O(nlogn) algorithm for the all-farthest-segments problem for a planar set of points
Robert L. Scot Drysdale, Asish Mukhopadhyay
Inf. Process. Lett.2
2008 On intersecting a set of parallel line segments with a convex polygon of minimum area
Asish Mukhopadhyay, Chanchal Kumar, Eugene Greene, Binay K. Bhattacharya
Inf. Process. Lett.1
2007 On Intersecting a Set of Isothetic Line Segments with a Convex Polygon of Minimum Area
Asish Mukhopadhyay, Eugene Greene, S. V. Rao 0001
ICCSA (1)1
2006 On the All-Farthest-Segments problem for a planar set of points
Asish Mukhopadhyay, Samidh Chatterjee, Benjamin J. Lafreniere
Inf. Process. Lett.1
2003 Computing a Closest Point to a Query Hyperplane in Three and Higher Dimensions
Pinaki Mitra, Asish Mukhopadhyay
ICCSA (3)2
2003 Computing a Largest Empty Arbitrary Oriented Rectangle: Theory and Implementation
Asish Mukhopadhyay, S. V. Rao 0001
ICCSA (3)1
2003 Using simplicial partitions to determine a closest point to a query line
Asish Mukhopadhyay
Pattern Recognit. Lett.1
2002 Optimally computing a shortest weakly visible line segment inside a simple polygon
Binay K. Bhattacharya, Gautam Das 0001, Asish Mukhopadhyay, Giri Narasimhan
Comput. Geom.3
2001 Optimal Algorithms for Two-Guard Walkability of Simple Polygons
Binay K. Bhattacharya, Asish Mukhopadhyay, Giri Narasimhan
WADS2
2001 Fast algorithms for computing Beta-skeletons and their relatives
S. V. Rao 0001, Asish Mukhopadhyay
Pattern Recognit.2
1997 Voronoi Diagrams for Direction-Sensitive Distances
abstract
Pemmsim to make digil:lldl:[r(i topics td'Jll (Jr patl ollhis m21trlal I'or pcrsmull or classroom IIs< ,s granlc(l L,ilhiml ILCprovided 111:11 Ilw c(>p,cs 'Ire Il[>t!)l:ldL> or dislrihllt~>d till prL)til Of LXIIII 111 C1L,i:ll fi[i\l:lll!:lgC.!ht.L,~)p\,- rigJlt notic.c.(hc title ot'[he pulll Icall(l[l (l[l[i ils dole appear.and nolicc is given LIIA copyright is 11~pcmllsslon (11'llw ;\C1l.[m.'10 copy o[hcnviw, to republish.Iu pos[ on scmvrs or 10 rcdlstrilwlc 10 Iisls.rcqutl-esspccitic permission wvllor lit (Compurm]onol (;comelq, 97 N'icc I'rmlcc
Oswin Aichholzer, Franz Aurenhammer, Danny Ziyi Chen, D. T. Lee, Asish Mukhopadhyay, Evanthia Papadopoulou
SCG5
1997 Fast Algorithms for Computing beta-Skeletons and Their Relatives
S. V. Rao 0001, Asish Mukhopadhyay
ISAAC2
1995 Computing in Linear Time a Chord from Which a Simple Polygon is Weakly Internally Visible
Binay K. Bhattacharya, Asish Mukhopadhyay
ISAAC2
1995 A Linear-time Construction of the Relative Neighborhood Graph within a Histogram
Andrzej Lingas, Asish Mukhopadhyay
WADS2
1994 Computing a Centerpoint of a Finite Planar Set of Points in Linear Time
Shreesh Jadhav, Asish Mukhopadhyay
Discret. Comput. Geom.2
1994 A New Necessary Condition for the Vertex Visibility Graphs of Simple Polygons
G. Srinivasaraghavan 0001, Asish Mukhopadhyay
Discret. Comput. Geom.2
1993 Computing a Centerpoint of a Finite Planar Set of Points in Linear Time
abstract
The notion of a centerpoint of a finite set of points in two and higher dimensions is a generalisation of the concept of the median of a (finite) set of points on the real line. In this paper, we present an algorithm for computing a centerpoint of a set of n points in the plane. The algorithm has complexity O(n) which significantly improves the O(n log3 n) complexity of the previously best known algorithm. We use suitable modifications of the ham-sandwich-cut algorithm and the prune-and-search technique to achieve this improvement.
Shreesh Jadhav, Asish Mukhopadhyay
SCG2
1992 An Optimal Algorithm for the Intersection Radius of a Set of Convex Polygons
Shreesh Jadhav, Asish Mukhopadhyay, Binay K. Bhattacharya
FSTTCS2
1991 Optimal Algorithms for Some Smallest Intersection Radius Problems (Extended Abstract)
abstract
Article Optimal algorithms for some smallest intersection radius problems (extended abstract) Share on Authors: Binay K. Bhattacharya School of Computing Science, Simon Fraser University, Burnaby, B.C., Canada, V5A 1S6 School of Computing Science, Simon Fraser University, Burnaby, B.C., Canada, V5A 1S6View Profile , Sreesh Jadhav Department of Computer Science, Indian Institute of Technology, Kanpur, India Department of Computer Science, Indian Institute of Technology, Kanpur, IndiaView Profile , Asish Mukhopadhayay Department of Computer Science, Indian Institute of Technology, Kanpur, India Department of Computer Science, Indian Institute of Technology, Kanpur, IndiaView Profile , Jean-Marc Robert School of Computer Science, McGill University, 3480 University St., Montreal, P.Q., Canada, H3A 2A7 School of Computer Science, McGill University, 3480 University St., Montreal, P.Q., Canada, H3A 2A7View Profile Authors Info & Claims SCG '91: Proceedings of the seventh annual symposium on Computational geometryJune 1991 Pages 81–88https://doi.org/10.1145/109648.109657Online:01 June 1991Publication History 1citation335DownloadsMetricsTotal Citations1Total Downloads335Last 12 Months2Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Binay K. Bhattacharya, Shreesh Jadhav, Asish Mukhopadhyay, Jean-Marc Robert 0001
SCG3
1991 A Linear Time Algorithm for Computing the Shortest Line Segment from Which a Polygon is Weakly Externally Visible
Binay K. Bhattacharya, Asish Mukhopadhyay, Godfried T. Toussaint
WADS2
1991 Adaptive cell division for ray tracing
B. S. S. Pradhan, Asish Mukhopadhyay
Comput. Graph.2
1987 A Solution to the Polynomial Hensel Code Conversion Problem
abstract
The polynomial Hensel code of a rational function a(x)/ b(x) ϵ F(x), F is a field, is the pair (c(x) d-1(x) mod Xr, n); r is a positive integer and a(x)/ b(x) = (c(x))xn such that c(x) and d(x) have nonzero constant terms. Such a representation scheme was proposed, in analogy with the Hensel code representations of rational numbers, to facilitate arithmetic operations on rational functions and control intermediate expressions well. The difficulty with this scheme was the conversion of such a code to rational function form. In this correspondence, we have given sufficient conditions under which this can be done and have described an algorithm for effecting the conversion. We have also discussed an application, namely, the reduction of a rational function to its simplest form.
Asish Mukhopadhyay
IEEE Trans. Computers1