7 research outputs found
On k-Convex Polygons
We introduce a notion of -convexity and explore polygons in the plane that
have this property. Polygons which are \mbox{-convex} can be triangulated
with fast yet simple algorithms. However, recognizing them in general is a
3SUM-hard problem. We give a characterization of \mbox{-convex} polygons, a
particularly interesting class, and show how to recognize them in \mbox{} time. A description of their shape is given as well, which leads to
Erd\H{o}s-Szekeres type results regarding subconfigurations of their vertex
sets. Finally, we introduce the concept of generalized geometric permutations,
and show that their number can be exponential in the number of
\mbox{-convex} objects considered.Comment: 23 pages, 19 figure
SYNTHESIS AND EVALUATION OF ANTIMICROBIAL ACTIVITY OF PHENYL AND FURAN-2-YL[1,2,4] TRIAZOLO[4,3-a]QUINOXALIN-4(5H)-ONE AND THEIR HYDRAZONE PRECURSORS
A variety of 1-(s-phenyl)-[1,2,4]triazolo[4,3-a]quinoxalin-4(5H)-one (3a-3h) and 1-(s-furan-2-yl)-[1,2,4]triazolo[4,3-
a]quinoxalin-4(5H)-one (5a-d) were synthesized from thermal annelation of corresponding hydrazones (2a-h) and (4a-d)
respectively in the presence of ethylene glycol which is a high boiling solvent. The structures of the compounds prepared
were confirmed by analytical and spectral data. Also, the newly synthesized compounds were evaluated for possible
antimicrobial activity. 3-(2-(4-hydroxylbenzylidene)hydrazinyl)quinoxalin-2(1H)-one (2e) was the most active
antibacterial agent while 1-(5-Chlorofuran-2-yl)-[1,2,4]triazolo[4,3-a]quinoxalin-4(5H)-one (5c) stood out as the most
potent antifungal agent
Problems and applications of Discrete and Computational Geometry concerning graphs, polygons, and points in the plane
Esta tesistratasobreproblemasyaplicacionesdelageometríadiscretay
computacional enelplano,relacionadosconpolígonos,conjuntosdepuntos
y grafos.
Después deunprimercapítulointroductorio,enelcapítulo 2 estudiamos
una generalizacióndeunfamosoproblemadevisibilidadenelámbitodela
O-convexidad. Dadounconjuntodeorientaciones(ángulos) O, decimosque
una curvaes O-convexa si suintersecciónconcualquierrectaparalelaauna
orientaciónde O es conexa.Cuando O = {0◦, 90◦}, nosencontramosenel
caso delaortoconvexidad,consideradodeespecialrelevancia.El O-núcleo
de unpolígonoeselconjuntodepuntosdelmismoquepuedenserconectados
con cualquierotropuntodelpolígonomedianteunacurva O-convexa.En
este trabajoobtenemos,para O = {0◦} y O = {0◦, 90◦}, unalgoritmopara
calcular ymantenerel O-núcleodeunpolígonoconformeelconjuntode
orientaciones O rota. Dichoalgoritmoproporciona,además,losángulosde
rotación paralosqueel O-núcleotieneáreayperímetromáximos.
En elcapítulo 3 consideramos unaversiónbicromáticadeunproblema
combinatorioplanteadoporNeumann-LarayUrrutia.Enconcreto,de-
mostramos quetodoconjuntode n puntosazulesy n puntosrojosenel
plano contieneunparbicromáticodepuntostalquetodocírculoquelos
tenga ensufronteracontieneensuinterioralmenos n(1− 1 √2
)−o(n) puntos
del conjunto.Esteproblemaestáfuertementeligadoalcálculodelosdiagra-
mas deVoronoideordensuperiordelconjuntodepuntos,pueslasaristas
de estosdiagramascontienenprecisamentetodosloscentrosdeloscírculos
que pasanpordospuntosdelconjunto.Porello,nuestralíneadetrabajo
actual enesteproblemaconsisteenexplorarestaconexiónrealizandoun
estudio detalladodelaspropiedadesdelosdiagramasdeVoronoideorden
superior.
En loscapítulos 4 y 5, planteamosdosaplicacionesdelateoríadegrafos
6
7
al análisissensorialyalcontroldeltráficoaéreo,respectivamente.Enel
primer caso,presentamosunnuevométodoquecombinatécnicasestadísti-
cas ygeométricasparaanalizarlasopinionesdelosconsumidores,recogidas
a travésdemapeoproyectivo.Estemétodoesunavariacióndelmétodo
SensoGraph ypretendecapturarlaesenciadelmapeoproyectivomediante
el cálculodelasdistanciaseuclídeasentrelosparesdemuestrasysunor-
malización enelintervalo [0, 1]. Acontinuación,aplicamoselmétodoaun
ejemplo prácticoycomparamossusresultadosconlosobtenidosmediante
métodosclásicosdeanálisissensorialsobreelmismoconjuntodedatos.
En elsegundocaso,utilizamoslatécnicadelespectro-coloreadodegrafos
para plantearunmodelodecontroldeltráficoaéreoquepretendeoptimizar
el consumodecombustibledelosavionesalmismotiempoqueseevitan
colisiones entreellos.This thesisdealswithproblemsandapplicationsofdiscreteandcomputa-
tional geometryintheplane,concerningpolygons,pointsets,andgraphs.
After afirstintroductorychapter,inChapter 2 westudyageneraliza-
tion ofafamousvisibilityproblemintheframeworkof O-convexity. Given
a setoforientations(angles) O, wesaythatacurveis O-convex if itsin-
tersection withanylineparalleltoanorientationin O is connected.When
O = {0◦, 90◦}, wefindourselvesinthecaseoforthoconvexity,consideredof
specialrelevance.The O-kernel of apolygonisthesubsetofpointsofthe
polygonthatcanbeconnectedtoanyotherpointofthepolygonwithan
O-convexcurve.Inthisworkweobtain,for O = {0◦} and O = {0◦, 90◦}, an
algorithm tocomputeandmaintainthe O-kernelofapolygonasthesetof
orientations O rotates. Thisalgorithmalsoprovidestheanglesofrotation
that maximizetheareaandperimeterofthe O-kernel.
In Chapter 3, weconsiderabichromaticversionofacombinatorialprob-
lem posedbyNeumann-LaraandUrrutia.Specifically,weprovethatevery
set of n blue and n red pointsintheplanecontainsabichromaticpairof
pointssuchthateverycirclehavingthemonitsboundarycontainsatleast
n(1 − 1 √2
) − o(n) pointsofthesetinitsinterior.Thisproblemisclosely
related toobtainingthehigherorderVoronoidiagramsofthepointset.The
edges ofthesediagramscontain,precisely,allthecentersofthecirclesthat
pass throughtwopointsoftheset.Therefore,ourcurrentlineofresearch
on thisproblemconsistsonexploringthisconnectionbystudyingindetail
the propertiesofhigherorderVoronoidiagrams.
In Chapters 4 and 5, weconsidertwoapplicationsofgraphtheoryto
sensory analysisandairtrafficmanagement,respectively.Inthefirstcase,
weintroduceanewmethodwhichcombinesgeometricandstatisticaltech-
niques toanalyzeconsumeropinions,collectedthroughprojectivemapping.
This methodisavariationofthemethodSensoGraph.Itaimstocapture
4
5
the essenceofprojectivemappingbycomputingtheEcuclideandistances
betweenpairsofsamplesandnormalizingthemtotheinterval [0, 1]. Weap-
ply themethodtoareal-lifescenarioandcompareitsperformancewiththe
performanceofclassicmethodsofsensoryanalysisoverthesamedataset.
In thesecondcase,weusetheSpectrumGraphColoringtechniquetopro-
poseamodelforairtrafficmanagementthataimstooptimizetheamount
of fuelusedbytheairplanes,whileavoidingcollisionsbetweenthem
Large bichromatic point sets admit empty monochromatic 4-gons
We consider a variation of a problem stated by Erd˝os
and Szekeres in 1935 about the existence of a number
fES(k) such that any set S of at least fES(k) points in
general position in the plane has a subset of k points
that are the vertices of a convex k-gon. In our setting
the points of S are colored, and we say that a (not necessarily
convex) spanned polygon is monochromatic if
all its vertices have the same color. Moreover, a polygon
is called empty if it does not contain any points of
S in its interior. We show that any bichromatic set of
n ≥ 5044 points in R2 in general position determines
at least one empty, monochromatic quadrilateral (and
thus linearly many).Postprint (published version
Fundamentals of Restricted-Orientation Convexity
A restricted-orientation convex set, also called an O-convex set, is a set of points whose intersection with lines from some fixed set is empty or connected. The notion of O-convexity generalizes standard convexity and orthogonal convexity. We explore some of the basic properties of O-convex sets in two and higher dimensions. We also study O-connected sets, which are restricted O-convex sets with several special properties. We introduce and investigate restricted-orientation analogs of lines, flats, and hyperplanes, and characterize O-convex and O-connected sets in terms of their intersections with hyperplanes. We then explore properties of O-connected curves; in particular, we show when replacing a segment of an O-connected curve with a new curvilinear segment yields an O-connected curve and when the catenation of several curvilinear segments forms an O- connected segment. We use these results to characterize an O-connected set in terms of O-connected segments that join pairs of it..
Fundamentals of Restricted-Orientation Convexity
A restricted-orientation convex set, also called an O-convex set, is a set of points whose intersection with lines from some fixed set is empty or connected. The notion of O-convexity generalizes standard convexity and orthogonal convexity. We explore some of the basic properties of O-convex sets in two and higher dimensions. We also study O-connected sets, which are a subclass of O-convex sets, with several special properties. We introduce and investigate restricted-orientation analogs of lines, flats, and hyperplanes, and characterize O-convex and O-connected sets in terms of their intersections with hyperplanes. We then explore properties of O- connected curves; in particular, we show when replacing a segment of an O-connected curve with a new curvilinear segment yields an O-connected curve and when the catenation of several curvilinear segments forms an O-connected segment. We use these results to characterize an O-connected set in terms of O-connected segments, joining pairs of..
Fundamentals of Restricted-Orientation Convexity
A restricted-orientation convex set, also called an set, is a set of points whose intersection with lines from some fixed set is empty or connected. The notion generalizes standard convexity and orthogonal convexity