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Статті в журналах з теми "Matrix Analysis and Positivity"
Bhatia, Rajendra, and Ludwig Elsner. "Positivity Preserving Hadamard Matrix Functions." Positivity 11, no. 4 (September 26, 2007): 583–88. http://dx.doi.org/10.1007/s11117-007-2104-8.
Повний текст джерелаBernik, Janez, Mitja Mastnak, and Heydar Radjavi. "Positivity and matrix semigroups." Linear Algebra and its Applications 434, no. 3 (February 2011): 801–12. http://dx.doi.org/10.1016/j.laa.2010.09.045.
Повний текст джерелаter Horst, S., and A. van der Merwe. "Linear matrix maps for which positivity and complete positivity coincide." Linear Algebra and its Applications 628 (November 2021): 140–81. http://dx.doi.org/10.1016/j.laa.2021.07.007.
Повний текст джерелаMørken, Knut M. "On Total Positivity of the Discrete Spline Collocation Matrix." Journal of Approximation Theory 84, no. 3 (March 1996): 247–64. http://dx.doi.org/10.1006/jath.1996.0018.
Повний текст джерелаGross, Kenneth I., and Donald St P. Richards. "Total positivity, spherical series, and hypergeometric functions of matrix argument." Journal of Approximation Theory 59, no. 2 (November 1989): 224–46. http://dx.doi.org/10.1016/0021-9045(89)90153-6.
Повний текст джерелаHorváth, Zoltán. "On the positivity of matrix-vector products." Linear Algebra and its Applications 393 (December 2004): 253–58. http://dx.doi.org/10.1016/j.laa.2004.03.012.
Повний текст джерелаMelkman, Avraham A. "Another Proof of the Total Positivity of the Discrete Spline Collocation Matrix." Journal of Approximation Theory 84, no. 3 (March 1996): 265–73. http://dx.doi.org/10.1006/jath.1996.0019.
Повний текст джерелаJohnson, Charles R., and Sivaram K. Narayan. "When the positivity of the leading principal minors implies the positivity of all principal minors of a matrix." Linear Algebra and its Applications 439, no. 10 (November 2013): 2934–47. http://dx.doi.org/10.1016/j.laa.2013.08.017.
Повний текст джерелаHabel, Azza F., Rabeb M. Ghali, Hanen Bouaziz, Amira Daldoul, Mariem Hadj-Ahmed, Amina Mokrani, Sonia Zaied, et al. "Common matrix metalloproteinase-2 gene variants and altered susceptibility to breast cancer and associated features in Tunisian women." Tumor Biology 41, no. 4 (April 2019): 101042831984574. http://dx.doi.org/10.1177/1010428319845749.
Повний текст джерелаOsada, Hirofumi. "Positivity of the self-diffusion matrix of interacting Brownian particles with hard core." Probability Theory and Related Fields 112, no. 1 (September 17, 1998): 53–90. http://dx.doi.org/10.1007/s004400050183.
Повний текст джерелаДисертації з теми "Matrix Analysis and Positivity"
Lecharlier, Loïc. "Blind inverse imaging with positivity constraints." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209240.
Повний текст джерелаDoctorat en Sciences
info:eu-repo/semantics/nonPublished
Fortmann, Joshua. "Domestic Violence as a Risk Factor in HIV Positivity: An Analysis of Mozambican Women." Digital Commons @ East Tennessee State University, 2021. https://dc.etsu.edu/asrf/2021/presentations/11.
Повний текст джерелаChang, Xiao-Wen. "Perturbation analysis of some matrix factorizations." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0023/NQ29906.pdf.
Повний текст джерелаChang, Xiao-Wen 1963. "Pertubation analysis of some matrix factorizations." Thesis, McGill University, 1997. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=41999.
Повний текст джерелаWe develop a new approach, the so called 'matrix-vector equation' approach, to obtain sharp results and true condition numbers for the above problems. Our perturbation bounds give significant improvements on previous results, and could not be sharper. Also we use the so called 'matrix equation' approach originated by G. W. Stewart to derive perturbation bounds that are usually weaker but easier to interpret. This approach allows efficient computation of satisfactory estimates for the true condition numbers derived by our approach. The combination of these two approaches gives a powerful understanding of these problems. Although first-order perturbation bounds are satisfactory for all but the most delicate work, we also give some rigorous perturbation bounds for some factorizations.
We show that the condition of many such factorizations is significantly improved by the standard pivoting strategies (except the L factor in the LU factorization), and provide firmly based theoretical explanations as to why this is so. This extremely important information is very useful for designing more reliable matrix algorithms.
Our approach is a powerful general tool, and appears to be applicable to the perturbation analysis of any matrix factorization.
El, Zant Samer. "Google matrix analysis of Wikipedia networks." Thesis, Toulouse, INPT, 2018. http://www.theses.fr/2018INPT0046/document.
Повний текст джерелаThis thesis concentrates on the analysis of the large directed network representation of Wikipedia.Wikipedia stores valuable fine-grained dependencies among articles by linking webpages togetherfor diverse types of interactions. Our focus is to capture fine-grained and realistic interactionsbetween a subset of webpages in this Wikipedia network. Therefore, we propose to leverage anovel Google matrix representation of the network called the reduced Google matrix. This reducedGoogle matrix (GR) is derived for the subset of webpages of interest (i.e. the reduced network). Asfor the regular Google matrix, one component of GR captures the probability of two nodes of thereduced network to be directly connected in the full network. But unique to GR, anothercomponent accounts for the probability of having both nodes indirectly connected through allpossible paths in the full network. In this thesis, we demonstrate with several case studies that GRoffers a reliable and meaningful representation of direct and indirect (hidden) links of the reducednetwork. We show that GR analysis is complementary to the well-known PageRank analysis andcan be leveraged to study the influence of a link variation on the rest of the network structure.Case studies are based on Wikipedia networks originating from different language editions.Interactions between several groups of interest are studied in details: painters, countries andterrorist groups. For each study, a reduced network is built, direct and indirect interactions areanalyzed and confronted to historical, geopolitical or scientific facts. A sensitivity analysis isconducted to understand the influence of the ties in each group on other nodes (e.g. countries inour case). From our analysis, we show that it is possible to extract valuable interactions betweenpainters, countries or terrorist groups. Network of painters with GR capture art historical fact sucha painting movement classification. Well-known interactions of countries between major EUcountries or worldwide are underlined as well in our results. Similarly, networks of terrorist groupsshow relevant ties in line with their objective or their historical or geopolitical relationships. Weconclude this study by showing that the reduced Google matrix analysis is a novel powerfulanalysis method for large directed networks. We argue that this approach can find as well usefulapplication for different types of datasets constituted by the exchange of dynamic content. Thisapproach offers new possibilities to analyze effective interactions in a group of nodes embedded ina large directed network
Diar, Fares Sonja. "All is well : An analysis of positivity through adjectives in two contemporary New Age self-help books." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-40144.
Повний текст джерелаBarnett, John D. (John Derek) 1970. "Convex matrix factorization for gene expression analysis." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/30098.
Повний текст джерелаIncludes bibliographical references (p. 68-71).
A method is proposed for gene expression analysis relying upon convex matrix factorization (CMF). In CMF, one of the matrix factors has a convexity constraint, that is, each row is nonnegative and sums to one, and hence can be interpreted as a probability distribution. This is motivated biologically by expression data resulting from a mixture of different cell types. This thesis investigates implementing CMF with various constraints applied to the expression matrix, and applies the technique to a problem in analysis of the cell cycle and two problems in cancer classification.
by John D. Barnett.
S.M.
Lee, Shi-Wei. "Analysis of Composite Laminates with Matrix Cracks." Thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/45539.
Повний текст джерелаMaster of Science
Vaandrager, Paul. "Jost-matrix analysis of nuclear scattering data." Thesis, University of Pretoria, 2020. http://hdl.handle.net/2263/75605.
Повний текст джерелаThesis (PhD)--University of Pretoria, 2020.
National Research Foundation (NRF)
Physics
PhD
Unrestricted
Knox, Andrew Ramsay. "Design and analysis of the magnetic matrix display." Connect to electronic version, 2000. http://hdl.handle.net/1905/187.
Повний текст джерелаКниги з теми "Matrix Analysis and Positivity"
R, Johnson Charles, ed. Matrix analysis. Cambridge [Cambridgeshire]: Cambridge University Press, 1985.
Знайти повний текст джерелаBhatia, Rajendra. Matrix Analysis. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0653-8.
Повний текст джерелаHorn, Roger A. Matrix analysis. Cambridge [Cambridgeshire]: Cambridge University Press, 1990.
Знайти повний текст джерелаHorn, Roger A. Matrix analysis. 2nd ed. Cambridge: Cambridge University Press, 2012.
Знайти повний текст джерелаBhatia, Rajendra. Matrix analysis. New York: Springer, 1997.
Знайти повний текст джерелаH, Gallagher Richard, and Ziemian Ronald D, eds. Matrix structural analysis. 2nd ed. New York: John Wiley, 2000.
Знайти повний текст джерелаMatrix structural analysis. Boston: PWS-Kent Pub. Co., 1989.
Знайти повний текст джерелаVarga, Richard S. Matrix Iterative Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-05156-2.
Повний текст джерелаVarga, Richard S. Matrix iterative analysis. 2nd ed. Berlin: Springer Verlag, 2000.
Знайти повний текст джерелаB, Nelson Richard, ed. Matrix structural analysis. New York: J. Wiley, 1997.
Знайти повний текст джерелаЧастини книг з теми "Matrix Analysis and Positivity"
Lefaucheux, Engel, Joël Ouaknine, David Purser, and Mohammadamin Sharifi. "Model Checking Linear Dynamical Systems under Floating-point Rounding." In Tools and Algorithms for the Construction and Analysis of Systems, 47–65. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30823-9_3.
Повний текст джерелаGesztesy, Fritz, and Michael M. H. Pang. "On Positivity Preserving, Translation Invariant Operators in $$ \mathit L^p (\mathbb R^n)^m $$." In Analysis as a Tool in Mathematical Physics, 335–50. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31531-3_19.
Повний текст джерелаBorawski, Kamil. "Analysis of the Positivity of Descriptor Continuous-Time Linear Systems by the Use of Drazin Inverse Matrix Method." In Advances in Intelligent Systems and Computing, 172–82. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77179-3_16.
Повний текст джерелаChesi, Graziano, Andrea Garulli, Alberto Tesi, and Antonio Vicino. "Positivity Gap." In Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems, 39–61. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-781-3_2.
Повний текст джерелаDancer, E. N. "Positivity of Maps and Applications." In Topological Nonlinear Analysis, 303–40. Boston, MA: Birkhäuser Boston, 1995. http://dx.doi.org/10.1007/978-1-4612-2570-6_4.
Повний текст джерелаFu, Siqi. "Positivity in the ∂¯-Neumann Problem." In Handbook of Complex Analysis, 89–132. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781315160658-5.
Повний текст джерелаJia, Rong-Qing. "Total Positivity and Nonlinear Analysis." In Total Positivity and Its Applications, 403–27. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8674-0_19.
Повний текст джерелаFu, Siqi. "Positivity of the $$ \bar \partial $$ -Neumann Laplacian." In Complex Analysis, 145–58. Basel: Birkhäuser Basel, 2010. http://dx.doi.org/10.1007/978-3-0346-0009-5_8.
Повний текст джерелаGladwell, G. M. L. "Matrix Analysis." In Inverse problems in vibration, 1–17. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-015-1178-0_1.
Повний текст джерелаEsfandiari, Ramin S., and Bei Lu. "Matrix Analysis." In Modeling and Analysis of Dynamic Systems, 75–103. Third edition. | Boca Raton : Taylor & Francis, CRC Press, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b22138-3.
Повний текст джерелаТези доповідей конференцій з теми "Matrix Analysis and Positivity"
de Oliveira, Mauricio C., Ricardo C. L. F. Oliveira, and Pedro L. D. Peres. "Schur stability of polytopic systems through positivity analysis of matrix-valued polynomials." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434750.
Повний текст джерелаYedavalli, Rama K., and Nagini Devarakonda. "Determination of Most Desirable Nominal Closed Loop State Space System via Qualitative Ecological Principles." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6181.
Повний текст джерелаArtru, X. "Classical positivity, quantum positivity and entanglement of a multi-partite density matrix, with the example of polarized reactions." In THE 8TH INTERNATIONAL CONFERENCE ON PROGRESS IN THEORETICAL PHYSICS (ICPTP 2011). AIP, 2012. http://dx.doi.org/10.1063/1.4715425.
Повний текст джерелаIwasaki, Masashi, and Yoshimasa Nakamura. "Positivity and Stability of the dLV Algorithm for Computing Matrix Singular Values." In Second International Conference on Informatics Research for Development of Knowledge Society Infrastructure (ICKS'07). IEEE, 2007. http://dx.doi.org/10.1109/icks.2007.22.
Повний текст джерелаRenganarayana, Lakshminarayanan, and Sanjay Rajopadhye. "Positivity, posynomials and tile size selection." In 2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2008. http://dx.doi.org/10.1109/sc.2008.5213293.
Повний текст джерелаNalbant, Nese, and Yasar Sozen. "The positivity of differential operator with nonlocal boundary conditions." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756198.
Повний текст джерелаAshyralyev, Allaberen, and Fatih Sabahattin Tetikoğlu. "The positivity of the differential operator with periodic conditions." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756200.
Повний текст джерелаSemenova, Galina E. "Positivity of elliptic difference operators and its applications." In FIRST INTERNATIONAL CONFERENCE ON ANALYSIS AND APPLIED MATHEMATICS: ICAAM 2012. AIP, 2012. http://dx.doi.org/10.1063/1.4747683.
Повний текст джерелаAshyralyev, Allaberen, Sema Kaplan, Yasar Sozen, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Positivity of Two-Dimensional Elliptic Differential Operators with Nonlocal Conditions." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3636803.
Повний текст джерелаGao, Haichao, Wei Dong, and Linli Ma. "Positivity and stability analysis of positive discrete-time descriptor systems." In 2016 Chinese Control and Decision Conference (CCDC). IEEE, 2016. http://dx.doi.org/10.1109/ccdc.2016.7531126.
Повний текст джерелаЗвіти організацій з теми "Matrix Analysis and Positivity"
Hurtubise, R. J. Solid-matrix luminescence analysis. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/6568645.
Повний текст джерелаCaswell, Hal. Matrix Methods for Population Analysis. Fort Belvoir, VA: Defense Technical Information Center, January 1997. http://dx.doi.org/10.21236/ada330118.
Повний текст джерелаKailath, Thomas. Recursive Analysis of Matrix Scattering Functions. Fort Belvoir, VA: Defense Technical Information Center, December 1993. http://dx.doi.org/10.21236/ada277264.
Повний текст джерелаRobert J. Hurtubise. Solid-Matrix Luminescence Analysis and Coupling Solid-Matrix Luminescence with Separation Methodology. Office of Scientific and Technical Information (OSTI), August 2007. http://dx.doi.org/10.2172/1009088.
Повний текст джерелаHurtubise, Robert J. Solid-Matrix Luminescence Analysis and Coupling Solid-Matrix Luminescence with Separation Methodology. Office of Scientific and Technical Information (OSTI), June 2004. http://dx.doi.org/10.2172/838042.
Повний текст джерелаBane, Karl LF. SCATTERING MATRIX ANALYSIS OF THE NLC ACCELERATING STRUCTURE. Office of Scientific and Technical Information (OSTI), April 1999. http://dx.doi.org/10.2172/10045.
Повний текст джерелаYu, Li Hua. Analysis of Nonlinear Dynamics by Square Matrix Method. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1340371.
Повний текст джерелаWang, A. S. Fracture Analysis of Matrix Cracking in Laminated Composites. Fort Belvoir, VA: Defense Technical Information Center, January 1985. http://dx.doi.org/10.21236/ada170486.
Повний текст джерелаWolski, A., J. Nelson, M. Ross, M. Woodley, and S. Mishra. Analysis of KEK-ATF Optics And Coupling Using Orbit Response Matrix Analysis. Office of Scientific and Technical Information (OSTI), October 2006. http://dx.doi.org/10.2172/893293.
Повний текст джерелаWolski, A., J. Nelson, M. Ross, M. Woodley, and S. Mishra. Analysis of KEK-ATF optics and coupling using orbit response matrix analysis. Office of Scientific and Technical Information (OSTI), January 2004. http://dx.doi.org/10.2172/898407.
Повний текст джерела