Academic literature on the topic 'Metric'
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Journal articles on the topic "Metric"
Ab. Rahim, Rosminazuin, Abdallah Awad, Aisha Hassan Abdalla Hashim, and ALIZA AINI MD RALIB. "EVALUATION OF THE ROUTING METIRC W-METRIC USED WITH RPL PRTOCOL IN LLNS." IIUM Engineering Journal 19, no. 2 (December 1, 2018): 80–89. http://dx.doi.org/10.31436/iiumej.v19i2.840.
Full textÖner, Tarkan, and Alexander Šostak. "Some Remarks on Fuzzy sb-Metric Spaces." Mathematics 8, no. 12 (November 27, 2020): 2123. http://dx.doi.org/10.3390/math8122123.
Full textSABAU, SORIN V., KAZUHIRO SHIBUYA, and HIDEO SHIMADA. "Metric structures associated to Finsler metrics." Publicationes Mathematicae Debrecen 84, no. 1-2 (January 1, 2014): 89–103. http://dx.doi.org/10.5486/pmd.2014.5886.
Full textJakfar, Muhammad, Manuharawati, Dwi Nur Yunianti, and Mey Dita Kumala. "Metrics on a G-metric Space." Journal of Physics: Conference Series 1417 (December 2019): 012023. http://dx.doi.org/10.1088/1742-6596/1417/1/012023.
Full textZhao, Wen Jing, Yan Yan, Li Nan Shi, and Bo Chao Qu. "The Projectively Flat Conditions of One Special Class (α, β)-Metrics." Advanced Materials Research 756-759 (September 2013): 2528–32. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.2528.
Full textLin, Shuang, Mingxue Guo, and Yu Zhong. "A Representation Theorem for L-fuzzy Pseudo-metrics." Journal of Physics: Conference Series 2449, no. 1 (March 1, 2023): 012010. http://dx.doi.org/10.1088/1742-6596/2449/1/012010.
Full textSaraswathula, Anirudh, Samantha J. Merck, Ge Bai, Christine M. Weston, Elizabeth Ann Skinner, April Taylor, Allen Kachalia, Renee Demski, Albert W. Wu, and Stephen A. Berry. "The Volume and Cost of Quality Metric Reporting." JAMA 329, no. 21 (June 6, 2023): 1840. http://dx.doi.org/10.1001/jama.2023.7271.
Full textHoughton, Conor, and Kamal Sen. "A New Multineuron Spike Train Metric." Neural Computation 20, no. 6 (June 2008): 1495–511. http://dx.doi.org/10.1162/neco.2007.10-06-350.
Full textKhemaratchatakumthorn, Tammatada, and Prapanpong Pongsriiam. "Remarks on b-Metric and metric-preserving functions." Mathematica Slovaca 68, no. 5 (October 25, 2018): 1009–16. http://dx.doi.org/10.1515/ms-2017-0163.
Full textAygün, Halis, Elif Güner, Juan-José Miñana, and Oscar Valero. "Fuzzy Partial Metric Spaces and Fixed Point Theorems." Mathematics 10, no. 17 (August 28, 2022): 3092. http://dx.doi.org/10.3390/math10173092.
Full textDissertations / Theses on the topic "Metric"
Ribeiro, Tiago CaÃla. "Metric homology." Universidade Federal do CearÃ, 2007. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=604.
Full textCoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior
No presente trabalho desenvolvemos e aplicamos a teoria de homologia mÃtrica, criada por Jean Paul Brasselet e Lev Birbrair. A cada conjunto semialgÃbrico X associamos uma coleÃÃo de espaÃos vetoriais reais (ou grupos abelianos) {MH_k^ν(X)} _{k є Z} de forma que se à dado um outro semialgÃbrico X' que à semialgebricamente bi-Lipschitz equivalente a X, entÃo MH_k^ν(X) à isomorfo a MH_k^ν(X') para todo k. Assim, a coleÃÃo {MH_k^ν(X)} carrega alguma informaÃÃo mÃtrica do semialgÃbrico X. Em particular, teremos condiÃÃes necessÃrias para que uma singularidade isolada x_0 pertencente a X seja cÃnica. Mais precisamente, dada uma subvariedade compacta L de uma esfera S_{x_0,r}, calculamos os grupos MH_k^ν(x_0*L) em termos da homologia singular de L, onde x_0*L denota o cone {tx_0+(1-t)x ; x pertencente a L, t pertencente a [0,1]}. Aliado à homologia mÃtrica temos os Ciclos de Chegger, objetos geomÃtricos que obstruem a natureza cÃnica de uma singularidade. Como uma aplicaÃÃo da teoria, apresentamos uma classe de superfÃcies complexas cujas singularidades (isoladas) sÃo nÃo-cÃnicas.
Sidiropoulos, Anastasios. "Computational metric embeddings." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44712.
Full textIncludes bibliographical references (p. 141-145).
We study the problem of computing a low-distortion embedding between two metric spaces. More precisely given an input metric space M we are interested in computing in polynomial time an embedding into a host space M' with minimum multiplicative distortion. This problem arises naturally in many applications, including geometric optimization, visualization, multi-dimensional scaling, network spanners, and the computation of phylogenetic trees. We focus on the case where the host space is either a euclidean space of constant dimension such as the line and the plane, or a graph metric of simple topological structure such as a tree. For Euclidean spaces, we present the following upper bounds. We give an approximation algorithm that, given a metric space that embeds into R1 with distortion c, computes an embedding with distortion c(1) [delta]3/4 (A denotes the ratio of the maximum over the minimum distance). For higher-dimensional spaces, we obtain an algorithm which, for any fixed d > 2, given an ultrametric that embeds into Rd with distortion c, computes an embedding with distortion co(1). We also present an algorithm achieving distortion c logo(1) [delta] for the same problem. We complement the above upper bounds by proving hardness of computing optimal, or near-optimal embeddings. When the input space is an ultrametric, we show that it is NP-hard to compute an optimal embedding into R2 under the ... norm. Moreover, we prove that for any fixed d > 2, it is NP-hard to approximate the minimum distortion embedding of an n-point metric space into Rd within a factor of Q(n1/(17d)). Finally, we consider the problem of embedding into tree metrics. We give a 0(1)approximation algorithm for the case where the input is the shortest-path metric of an unweighted graph.
(cont.) For general metric spaces, we present an algorithm which, given an n-point metric that embeds into a tree with distortion c, computes an embedding with distortion (clog n)o ... . By composing this algorithm with an algorithm for embedding trees into R1, we obtain an improved algorithm for embedding general metric spaces into R1.
by Anastasios Sidiropoulos.
Ph.D.
Razafindrakoto, Ando Desire. "Hyperconvex metric spaces." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4106.
Full textENGLISH ABSTRACT: One of the early results that we encounter in Analysis is that every metric space admits a completion, that is a complete metric space in which it can be densely embedded. We present in this work a new construction which appears to be more general and yet has nice properties. These spaces subsequently called hyperconvex spaces allow one to extend nonexpansive mappings, that is mappings that do not increase distances, disregarding the properties of the spaces in which they are defined. In particular, theorems of Hahn-Banach type can be deduced for normed spaces and some subsidiary results such as fixed point theorems can be observed. Our main purpose is to look at the structures of this new type of “completion”. We will see in particular that the class of hyperconvex spaces is as large as that of complete metric spaces.
AFRIKAANSE OPSOMMING: Een van die eerste resultate wat in die Analise teegekom word is dat enige metriese ruimte ’n vervollediging het, oftewel dat daar ’n volledige metriese ruimte bestaan waarin die betrokke metriese ruimte dig bevat word. In hierdie werkstuk beskryf ons sogenaamde hiperkonvekse ruimtes. Dit gee ’n konstruksie wat blyk om meer algemeen te wees, maar steeds gunstige eienskappe het. Hiermee kan nie-uitbreidende, oftewel afbeeldings wat nie afstande rek nie, uitgebrei word sodanig dat die eienskappe van die ruimte waarop dit gedefinieer is nie ’n rol speel nie. In die besonder kan stellings van die Hahn- Banach-tipe afgelei word vir genormeerde ruimtes en sekere addisionele ressultate ondere vastepuntstellings kan bewys word. Ons hoofdoel is om hiperkonvekse ruimtes te ondersoek. In die besonder toon ons aan dat die klas van alle hiperkonvekse ruimtes net so groot soos die klas van alle metriese ruimtes is.
Lazaj, Klotilda. "Metric Preserving Functions." Connect to resource online, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1256915437.
Full textHussain, Azham. "Metric based evaluation of mobile devices : mobile goal question metric (mGQM)." Thesis, University of Salford, 2012. http://usir.salford.ac.uk/26720/.
Full textAnfinsen, Jarle. "Making substitution matrices metric." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9237.
Full textWith the emergence and growth of large databases of information, efficient methods for storage and processing are becoming increasingly important. The existence of a metric distance measure between data entities enables efficient index structures to be applied when storing the data. Unfortunately, this is often not the case. Amino acid substitution matrices, which are used to estimate similarities between proteins, do not yield metric distance measures. Finding efficient methods for converting a non-metric matrix into a metric one is therefore highly desirable. In this work, the problem of finding such conversions is approached by embedding the data contained in the non-metric matrix into a metric space. The embedding is optimized according to a quality measure which takes the original data into account, and a distance matrix is then derived using the metric distance function of the space. More specifically, an evolutionary scheme is proposed for constructing such an embedding. The work shows how a coevolutionary algorithm can be used to find a spatial embedding and a metric distance function which try to preserve as much of the proximity structure of the non-metrix matrix as possible. The evolutionary scheme is compared to three existing embedding algorithms. Some modifications to the existing algorithms are proposed, with the purpose of handling the data in the non-metric matrix more efficiently. At a higher level, the strategy of deriving a metric distance function from a spatial embedding is compared to an existing algorithm which enforces metricity by manipulating the data in the non-metric matrix directly (the triangle fixing algorithm). The methods presented and compared are general in the sense that they can be applied in any case where a non-metric matrix must be converted into a metric one, regardless of how the data in the non-metric matrix was originally derived. The proposed methods are tested empirically on amino acid substitution matrices, and the derived metric matrices are used to search for similarity in a database of proteins. The results show that the embedding approach outperforms the triangle fixing approach when applied to matrices from the PAM family. Moreover, the evolutionary embedding algorithms perform best among the embedding algorithms. In the case of the PAM250 scoring matrix, a metric distance matrix is found which is more sensitive than the mPAM250 matrix presented in a recent paper. Possible advantages of choosing one method over another are shown to be unclear in the case of matrices from the BLOSUM family.
Bagge, Joar. "A graphotactic language metric." Thesis, KTH, Matematik (Inst.), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-128781.
Full textMatthews, S. G. "Metric domains for completeness." Thesis, University of Warwick, 1985. http://wrap.warwick.ac.uk/60775/.
Full textAl-Harbi, Sami. "Clustering in metric spaces." Thesis, University of East Anglia, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396604.
Full textJensen, Harold Franklin. "Variable buoyancy system metric." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/58193.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 111-112).
Over the past 20 years, underwater vehicle technology has undergone drastic improvements, and vehicles are quickly gaining popularity as a tool for numerous oceanographic tasks. Systems used on the vehicle to alter buoyancy, or variable buoyancy (VB) systems, have seen only minor improvements during the same time period. Though current VB systems are extremely robust, their lack of performance has become a hinderance to the advancement of vehicle capabilities. This thesis first explores the current status of VB systems, then creates a model of each system to determine performance. Second, in order to quantitatively compare fundamentally different VB systems, two metrics, [beta]m and [beta]vol, are developed and applied to current systems. By determining the ratio of performance to size, these metrics give engineers a tool to aid VB system development. Finally, the fundamental challenges in developing more advanced VB systems are explored, and a couple of technologies are investigated for their potential use in new systems.
by Harold Franklin Jensen III.
S.M.
Books on the topic "Metric"
K, Jain P. Metric spaces. New Delhi: Narosa Publishing House, 1993.
Find full textBuxton, Pamela, ed. Metric Handbook. Sixth edition. | New York: Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315230726.
Full textBuxton, Pamela. Metric Handbook. 7th ed. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003052586.
Full textMagnus, Robert. Metric Spaces. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94946-4.
Full textBeer, David. Metric Power. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-55649-3.
Full textWeller, Susan, and A. Romney. Metric Scaling. 2455 Teller Road, Newbury Park California 91320 United States of America: SAGE Publications, Inc., 1990. http://dx.doi.org/10.4135/9781412985048.
Full textUnited States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Science, Research, and Technology. Metric conversion. Washington, DC: U.S. G.P.O, 1990.
Find full textMetric handbook. 4th ed. New York: Routledge, 2011.
Find full textMontana. Department of Transportation. Metric fundamentals. Helena, Mont: The Department, 1992.
Find full textMcKeown, Sally. Metric measures. Coventry: Ben Books, 1989.
Find full textBook chapters on the topic "Metric"
Weik, Martin H. "metric." In Computer Science and Communications Dictionary, 1010. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11459.
Full textPlanas, Adrián, Andrés Pascal, and Norma Herrera. "MeTree: A Metric Spatial Index." In Computer Science – CACIC 2019, 250–61. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48325-8_17.
Full text"Metric." In Encyclopedia of the UN Sustainable Development Goals, 396. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-95717-3_300094.
Full textFefferman, Charles, and C. Robin Graham. "Poincaré Metrics." In The Ambient Metric (AM-178). Princeton University Press, 2011. http://dx.doi.org/10.23943/princeton/9780691153131.003.0004.
Full text"Metric Units and the Preferred Dosing of Orally Administered Liquid Medications." In Pediatric Clinical Practice Guidelines & Policies, 891–96. 16th ed. American Academy of Pediatrics, 2016. http://dx.doi.org/10.1542/9781610020190-part04-metric.
Full text"Metric Units and the Preferred Dosing of Orally Administered Liquid Medications." In Pediatric Clinical Practice Guidelines & Policies, 1315. 16th ed. American Academy of Pediatrics, 2016. http://dx.doi.org/10.1542/9781610020190-part05-metric.
Full text"Metric spaces." In Metric Spaces, 12–28. Cambridge University Press, 1985. http://dx.doi.org/10.1017/9781139171854.003.
Full text"Aids to pedestrian movement." In Metric Handbook, 97–108. Routledge, 2007. http://dx.doi.org/10.4324/9780080523163-10.
Full text"Landscape design." In Metric Handbook, 109–24. Routledge, 2007. http://dx.doi.org/10.4324/9780080523163-11.
Full text"Terminals and transport interchanges." In Metric Handbook, 125–43. Routledge, 2007. http://dx.doi.org/10.4324/9780080523163-12.
Full textConference papers on the topic "Metric"
Srivastav, V. S. P., and Piyush Prakash. "Green metrics for OO codes: CAAEC metric." In 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE). IEEE, 2013. http://dx.doi.org/10.1109/icgce.2013.6823448.
Full textSaurez, Enrique, Bharath Balasubramanian, Richard Schlichting, Brendan Tschaen, Zhe Huang, Shankaranarayanan Puzhavakath Narayanan, and Umakishore Ramachandran. "METRIC." In the 3rd Workshop. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3286685.3286686.
Full textMao, Jun-Xiang, Wei Wang, and Min-Ling Zhang. "Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/451.
Full textYanhong Bi, Bin Fan, and Fuchao Wu. "Beyond Mahalanobis metric: Cayley-Klein metric learning." In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2015. http://dx.doi.org/10.1109/cvpr.2015.7298847.
Full textJohnson, Tyler A., Avery Cheeley, Benjamin W. Caldwell, and Matthew G. Green. "Comparison and Extension of Novelty Metrics for Problem-Solving Tasks." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60319.
Full textMendel, Manor, and Assaf Naor. "Metric cotype." In the seventeenth annual ACM-SIAM symposium. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1109557.1109567.
Full textRisi, M., G. Scanniello, and G. Tortora. "Metric Attitude." In 2013 17th European Conference on Software Maintenance and Reengineering (CSMR 2013). IEEE, 2013. http://dx.doi.org/10.1109/csmr.2013.59.
Full textHenderson, Keith, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, and Hanghang Tong. "Metric forensics." In the 16th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1835804.1835828.
Full textSullivan, Dean, Jeff Biggers, Guidong Zhu, Shaojie Zhang, and Yier Jin. "FIGHT-Metric." In the The 51st Annual Design Automation Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2593069.2596681.
Full textLizarraga-Lizarraga, Giovanni, Arturo Hernandez-Aguirre, and Salvador Botello-Rionda. "G-Metric." In the 10th annual conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1389095.1389227.
Full textReports on the topic "Metric"
Demichelis, C., and P. Chimento. IP Packet Delay Variation Metric for IP Performance Metrics (IPPM). RFC Editor, November 2002. http://dx.doi.org/10.17487/rfc3393.
Full textAlmes, G., S. Kalidindi, and M. Zekauskas. A One-Way Delay Metric for IP Performance Metrics (IPPM). Edited by A. Morton. RFC Editor, January 2016. http://dx.doi.org/10.17487/rfc7679.
Full textAlmes, G., S. Kalidindi, and M. Zekauskas. A One-Way Loss Metric for IP Performance Metrics (IPPM). Edited by A. Morton. RFC Editor, January 2016. http://dx.doi.org/10.17487/rfc7680.
Full textZwart, P. H., R. W. Grosse-Kunstleve, and P. D. Adams. Exploring Metric Symmetry. Office of Scientific and Technical Information (OSTI), July 2006. http://dx.doi.org/10.2172/926901.
Full textCarver, Gary P. A metric America:. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4858.
Full textBenham, Elizabeth. NIST Metric Recipes. Gaithersburg, MD: National Institute of Standards and Technology, 2023. http://dx.doi.org/10.6028/nist.sp.1290.
Full textPsenak, P., and H. Johnston. OSPF Reverse Metric. Edited by K. Talaulikar. RFC Editor, December 2022. http://dx.doi.org/10.17487/rfc9339.
Full textNone, None. EERE GPRA2003 metric estimates. Office of Scientific and Technical Information (OSTI), July 2003. http://dx.doi.org/10.2172/1216530.
Full textCowlin, Shannon, Donna Heimiller, Jordan Macknick, Margaret Mann, Jacquelyn Pless, and David Munoz. Multi-Metric Sustainability Analysis. Office of Scientific and Technical Information (OSTI), December 2014. http://dx.doi.org/10.2172/1167056.
Full textManadhata, Pratyusa, and Jeannette M. Wing. An Attack Surface Metric. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada457096.
Full text