Literatura académica sobre el tema "Determinantal"
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Artículos de revistas sobre el tema "Determinantal"
Dey, Papri. "Definite determinantal representations of multivariate polynomials". Journal of Algebra and Its Applications 19, n.º 07 (23 de julio de 2019): 2050129. http://dx.doi.org/10.1142/s0219498820501297.
Texto completoKyrchei, Ivan I. "Determinantal Representations of the Core Inverse and Its Generalizations with Applications". Journal of Mathematics 2019 (1 de octubre de 2019): 1–13. http://dx.doi.org/10.1155/2019/1631979.
Texto completoMarcus, Marvin. "Determinantal Loci". College Mathematics Journal 23, n.º 1 (enero de 1992): 44. http://dx.doi.org/10.2307/2686198.
Texto completoFulton, William. "determinantal formulas". Duke Mathematical Journal 65, n.º 3 (marzo de 1992): 381–420. http://dx.doi.org/10.1215/s0012-7094-92-06516-1.
Texto completoBeauville, Arnaud. "Determinantal hypersurfaces." Michigan Mathematical Journal 48, n.º 1 (2000): 39–64. http://dx.doi.org/10.1307/mmj/1030132707.
Texto completoMarcus, Marvin. "Determinantal Loci". College Mathematics Journal 23, n.º 1 (enero de 1992): 44–47. http://dx.doi.org/10.1080/07468342.1992.11973433.
Texto completoKimura, Kenichiro, Shun-ichi Kimura y Nobuyoshi Takahashi. "Motivic zeta functions in additive monoidal categories". Journal of K-theory 9, n.º 3 (8 de diciembre de 2011): 459–73. http://dx.doi.org/10.1017/is011011006jkt174.
Texto completoStanimirović, Predrag S. y Milan Lj Zlatanović. "Determinantal Representation of Outer Inverses in Riemannian Space". Algebra Colloquium 19, spec01 (31 de octubre de 2012): 877–92. http://dx.doi.org/10.1142/s1005386712000740.
Texto completoConca, Aldo. "Symmetric ladders". Nagoya Mathematical Journal 136 (diciembre de 1994): 35–56. http://dx.doi.org/10.1017/s0027763000024958.
Texto completoHardy, Adrien y Mylène Maïda. "Determinantal Point Processes". EMS Newsletter 2019-6, n.º 112 (6 de junio de 2019): 8–15. http://dx.doi.org/10.4171/news/112/3.
Texto completoTesis sobre el tema "Determinantal"
Konvalinka, Matjaž. "Combinatorics of determinantal identities". Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43790.
Texto completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 125-129).
In this thesis, we apply combinatorial means for proving and generalizing classical determinantal identities. In Chapter 1, we present some historical background and discuss the algebraic framework we employ throughout the thesis. In Chapter 2, we construct a fundamental bijection between certain monomials that proves crucial for most of the results that follow. Chapter 3 studies the first, and possibly the best-known, determinantal identity, the matrix inverse formula, both in the commutative case and in some non-commutative settings (Cartier-Foata variables, right-quantum variables, and their weighted generalizations). We give linear-algebraic and (new) bijective proofs; the latter also give an extension of the Jacobi ratio theorem. Chapter 4 is dedicated to the celebrated MacMahon master theorem. We present numerous generalizations and applications. In Chapter 5, we study another important result, Sylvester's determinantal identity. We not only generalize it to non-commutative cases, we also find a surprising extension that also generalizes the master theorem. Chapter 6 has a slightly different, representation theory flavor; it involves representations of the symmetric group, and also Hecke algebras and their characters. We extend a result on immanants due to Goulden and Jackson to a quantum setting, and reprove certain combinatorial interpretations of the characters of Hecke algebras due to Ram and Remmel.
by Matjaž Konvalinka.
Ph.D.
Petroulakis, G. "The approximate Determinantal Assignment Problem". Thesis, City University London, 2015. http://openaccess.city.ac.uk/11894/.
Texto completoPereira, Miriam da Silva. "Variedades determinantais e singularidades de matrizes". Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/55/55135/tde-22062010-133339/.
Texto completoThe theorem of Hilbert- Burch provides a good description of codimension two determinantal varieties and their deformations in terms of their presentation matrices. In this work we use this correspondence to study properties of determinantal varieties, based on methods of singularity theory of their presentation matrices. In the first part of the thesis we establish the theory of singularities for n X p matrices extending previous results of J. W. Bruce and F. Tari in [5], for classes of square matrices, and A. Frühbis-Krüger for n X (n+1) matrices in [16]. In the second part we concentrate on codimension two determinantal varieties with isolated singularities. These singularities admit a unique smoothing, thus we can define their Milnor number as the middle Betti number of their generic fiber. For surfaces in \'C POT. 4\' , we obtain a Lê-Greuel formula expressing the Milnor number of the surface in terms of the second polar multiplicity and the Milnor number of the generic section
Piontkowski, Jens. "Compactified Jacobians and symmetric determinantal hypersurfaces". [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=973256419.
Texto completoHägg, Jonas. "Gaussian fluctuations in some determinantal processes". Doctoral thesis, KTH, Matematik (Inst.), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4343.
Texto completoQC 20100716
Hägg, Jonas. "Gaussian fluctuations in some determinantal processes /". Stockholm : Matematik, Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4343.
Texto completoKennerberg, Philip. "Simulation of interpolating determinantal point processes". Thesis, KTH, Matematik (Avd.), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167972.
Texto completoI denna magisteruppsats presenterar jag lite av den teori som ligger till grund för determinantprocesser. I det första kapitlet går jag igenom en del av den grundläggande teorin kring slumpmått och punktprocesser. I det andra kapitlet introduceras begreppet determinantprocess via så kallade trace-class kärnor. Jag tar upp några av de mest fundamentala satserna i ämnet och några användbara satser för interpolation mellan olika determinantprocesser. En algoritm för simulering av determinantprocesser föreslogs tidigare i [9]. Jag studerar den algoritm och härleder mer explicita formler för implementering. Algoritmen I fråga bygger dock på att den underliggande processen är av en specifik form. Det finns emellertid ett sätt att komma runt detta antagande för att studera en större klass av processer, genom att använda ytterligare ett resultat från [9]. Jag studerar vidare två interpolerande processer som båda interpolerar mellan två andra välkända processer, och använder en implementering av de former jag härlett för simulering, för att undersöka hur interpolation ter sig. På senare tid har determinantprocesser funnit tillämpningar inom det datavetenskapliga ämnet maskininlärning. Inom maskininlärning simulerar man determinantprocesser för att utnyttja deras probabilistiska egenskaper. Det skulle därför kunna vara tänkbart att simuleringsmetoderna (eventuellt även de processer som studeras) som utvecklas här skulle kunna tillämpas inom detta ämne.
Zach, Matthias [Verfasser]. "Topological invariants of isolated determinantal singularities / Matthias Zach". Hannover : Technische Informationsbibliothek (TIB), 2017. http://d-nb.info/1150664274/34.
Texto completoMariet, Zelda Elaine. "Learning and enforcing diversity with Determinantal Point Processes". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/103671.
Texto completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 63-66).
As machine-learning techniques continue to require more data and become increasingly memory-heavy, being able to choose a subset of relevant, high-quality and diverse elements among large amounts of redundant or noisy data and parameters has become an important concern. Here, we approach this problem using Determinantal Point Processes (DPPs), probabilistic models that provide an intuitive and powerful way of balancing quality and diversity in sets of items. We introduce a novel, fixed-point algorithm for estimating the maximum likelihood parameters of a DPP, provide proof of convergence and discuss generalizations of this technique. We then apply DPPs to the difficult problem of detecting and eliminating redundancy in fully-connected layers of neural networks. By placing a DPP over a layer, we are able to sample a subset of neurons that perform non-overlapping computations and merge all other neurons of the layer into the previous diverse subset. This allows us to significantly reduce the size of the neural network while simultaneously maintaining a good performance.
by Zelda Elaine Mariet.
S.M.
Naldi, Simone. "Exact algorithms for determinantal varieties and semidefinite programming". Thesis, Toulouse, INSA, 2015. http://www.theses.fr/2015ISAT0021/document.
Texto completoIn this thesis we focus on the study of determinantal structures arising in semidefinite programming (SDP), the natural extension of linear programming to the cone of symetric positive semidefinite matrices. While the approximation of a solution of a semidefinite program can be computed efficiently by interior-point algorithms, neither efficient exact algorithms for SDP are available, nor a complete understanding of its theoretical complexity has been achieved. In order to contribute to this central question in convex optimization, we design an exact algorithm for deciding the feasibility of a linear matrix inequality (LMI) $A(x) \succeq 0$. When the spectrahedron $\spec = \{x \in \RR^n \mymid A(x) \succeq 0\}$ is not empty, the output of this algorithm is an algebraic representation of a finite set meeting $\spec$ in at least one point $x^*$: in this case, the point $x^*$ minimizes the rank of the pencil on the spectrahedron. The complexity is essentially quadratic in the degree of the output representation, which meets, experimentally, the algebraic degree of semidefinite programs associated to $A(x)$. This is a guarantee of optimality of this approach in the context of exact algorithms for LMI and SDP. Remarkably, the algorithm does not assume the presence of an interior point in the spectrahedron, and it takes advantage of the existence of low rank solutions of the LMI. In order to reach this main goal, we develop a systematic approach to determinantal varieties associated to linear matrices. Indeed, we prove that deciding the feasibility of a LMI can be performed by computing a sample set of real solutions of determinantal polynomial systems. We solve this problem by designing an exact algorithm for computing at least one point in each real connected component of the locus of rank defects of a pencil $A(x)$. This algorithm admits as input generic linear matrices but takes also advantage of additional structures, and its complexity improves the state of the art in computational real algebraic geometry. Finally, the algorithms developed in this thesis are implemented in a new Maple library called {Spectra}, and results of experiments highlighting the complexity gain are provided
Libros sobre el tema "Determinantal"
Cornel, Baetica, ed. Combinatorics of determinantal ideals. New York: Nova Publishers, 2006.
Buscar texto completoBruns, Winfried y Udo Vetter. Determinantal Rings. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0080378.
Texto completoBruns, Winfried. Determinantal rings. Berlin: Springer-Verlag, 1988.
Buscar texto completoDeterminantal ideals. Basel: Birkhäuser, 2008.
Buscar texto completoIarrobino, Anthony y Vassil Kanev. Power Sums, Gorenstein Algebras, and Determinantal Loci. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0093426.
Texto completoHough, J. Ben. Zeros of Gaussian analytic functions and determinantal point processes. Providence, R.I: American Mathematical Society, 2009.
Buscar texto completo1979-, Hough J. Ben, ed. Zeros of Gaussian analytic functions and determinantal point processes. Providence, R.I: American Mathematical Society, 2009.
Buscar texto completo1979-, Hough J. Ben, ed. Zeros of Gaussian analytic functions and determinantal point processes. Providence, R.I: American Mathematical Society, 2009.
Buscar texto completoKebza, Vladimír. Psychosociální determinanty zdraví: Psychosocial determinants of health. Praha: Academia, 2005.
Buscar texto completoJerzy, Mierzejewski Donat y Jan Polcyn. Rozwój regionalny i jego determinanty: Regional development and its determinants. Piła: Państwowa Wyższa Szkoła Zawodowa im. Stanisława Staszica, 2014.
Buscar texto completoCapítulos de libros sobre el tema "Determinantal"
Harris, Joe. "Determinantal Varieties". En Algebraic Geometry, 98–113. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4757-2189-8_9.
Texto completoArbarello, E., M. Cornalba, P. A. Griffiths y J. Harris. "Determinantal Varieties". En Grundlehren der mathematischen Wissenschaften, 61–106. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4757-5323-3_2.
Texto completoLakshmibai, V. y Justin Brown. "Determinantal Varieties". En The Grassmannian Variety, 143–53. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-3082-1_10.
Texto completoWeiss, Thomas, Patrik Ferrari y Herbert Spohn. "Determinantal Point Processes". En Reflected Brownian Motions in the KPZ Universality Class, 25–30. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49499-9_3.
Texto completoDecreusefond, Laurent, Ian Flint, Nicolas Privault y Giovanni Luca Torrisi. "Determinantal Point Processes". En Stochastic Analysis for Poisson Point Processes, 311–42. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-05233-5_10.
Texto completoHough, J., Manjunath Krishnapur, Yuval Peres y Bálint Virág. "Determinantal point processes". En University Lecture Series, 47–81. Providence, Rhode Island: American Mathematical Society, 2009. http://dx.doi.org/10.1090/ulect/051/04.
Texto completoHough, J., Manjunath Krishnapur, Yuval Peres y Bálint Virág. "A determinantal zoo". En University Lecture Series, 99–117. Providence, Rhode Island: American Mathematical Society, 2009. http://dx.doi.org/10.1090/ulect/051/06.
Texto completoConstantinescu, Tiberiu. "Determinantal Formulae and Optimization". En Schur Parameters, Factorization and Dilation Problems, 203–22. Basel: Birkhäuser Basel, 1996. http://dx.doi.org/10.1007/978-3-0348-9108-0_8.
Texto completoQiao, Youming, Xiaoming Sun y Nengkun Yu. "Determinantal Complexities and Field Extensions". En Algorithms and Computation, 119–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45030-3_12.
Texto completoMitrinović, D. S., J. E. Pečarić y A. M. Fink. "Some Determinantal and Matrix Inequalities". En Classical and New Inequalities in Analysis, 211–38. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-1043-5_8.
Texto completoActas de conferencias sobre el tema "Determinantal"
Meister, Clara, Martina Forster y Ryan Cotterell. "Determinantal Beam Search". En Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.acl-long.512.
Texto completoTremblay, Nicolas, Pierre-Olivier Amblard y Simon Barthelme. "Graph sampling with determinantal processes". En 2017 25th European Signal Processing Conference (EUSIPCO). IEEE, 2017. http://dx.doi.org/10.23919/eusipco.2017.8081494.
Texto completoWarlop, Romain, Jérémie Mary y Mike Gartrell. "Tensorized Determinantal Point Processes for Recommendation". En KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3292500.3330952.
Texto completoGartrell, Mike, Ulrich Paquet y Noam Koenigstein. "Bayesian Low-Rank Determinantal Point Processes". En RecSys '16: Tenth ACM Conference on Recommender Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2959100.2959178.
Texto completoLiu, Yuli, Christian Walder y Lexing Xie. "Determinantal Point Process Likelihoods for Sequential Recommendation". En SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3477495.3531965.
Texto completoSharma, Ganesh y Subhrakanti Dey. "On Analog Distributed Approximate Newton with Determinantal Averaging". En 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2022. http://dx.doi.org/10.1109/pimrc54779.2022.9977466.
Texto completoBlaszczyszyn, B. y H. P. Keeler. "Determinantal thinning of point processes with network learning applications". En 2019 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2019. http://dx.doi.org/10.1109/wcnc.2019.8885526.
Texto completoLi, Yingzhe, Francois Baccelli, Harpreet S. Dhillon y Jeffrey G. Andrews. "Fitting determinantal point processes to macro base station deployments". En GLOBECOM 2014 - 2014 IEEE Global Communications Conference. IEEE, 2014. http://dx.doi.org/10.1109/glocom.2014.7037373.
Texto completoWilhelm, Mark, Ajith Ramanathan, Alexander Bonomo, Sagar Jain, Ed H. Chi y Jennifer Gillenwater. "Practical Diversified Recommendations on YouTube with Determinantal Point Processes". En CIKM '18: The 27th ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3269206.3272018.
Texto completoLi, Lei, Zuying Huang y Yazhao Zhang. "Quality-Diversity Automatic Summarization based on Determinantal Point Processes". En 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2019. http://dx.doi.org/10.1109/itaic.2019.8785485.
Texto completoInformes sobre el tema "Determinantal"
Barro, Robert y Rachel McCleary. International Determinants of Religiosity. Cambridge, MA: National Bureau of Economic Research, diciembre de 2003. http://dx.doi.org/10.3386/w10147.
Texto completoLopez-de-Silane, Florencio. Determinants of Privatization Prices. Cambridge, MA: National Bureau of Economic Research, marzo de 1996. http://dx.doi.org/10.3386/w5494.
Texto completoAlesina, Alberto y Eliana La Ferrara. The Determinants of Trust. Cambridge, MA: National Bureau of Economic Research, marzo de 2000. http://dx.doi.org/10.3386/w7621.
Texto completoCutler, David, Angus Deaton y Adriana Lleras-Muney. The Determinants of Mortality. Cambridge, MA: National Bureau of Economic Research, enero de 2006. http://dx.doi.org/10.3386/w11963.
Texto completoChu, Lisa W. Dietary Determinants of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, marzo de 2005. http://dx.doi.org/10.21236/ada439274.
Texto completoMitchell, Cynthia L. Weight Maintenance: Determinants of Success. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2005. http://dx.doi.org/10.21236/ada441738.
Texto completoDingel, Jonathan. The Determinants of Quality Specialization. Cambridge, MA: National Bureau of Economic Research, octubre de 2016. http://dx.doi.org/10.3386/w22757.
Texto completoSimpson, Jennifer K., Francesmary Modugno, Joel L. Weissfeld, Lewis Kuller, Victor Vogel y Joseph P. Costantino. Hormonal Determinants of Mammographic Density. Fort Belvoir, VA: Defense Technical Information Center, agosto de 2004. http://dx.doi.org/10.21236/ada432434.
Texto completoHorne, David K. y Mary Weltin. Determinants of Army Career Intentions. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 1985. http://dx.doi.org/10.21236/ada178672.
Texto completoPorta, Rafael La, Florencio Lopez-de-Silane, Andrei Shleifer y Robert Vishny. Legal Determinants of External Finance. Cambridge, MA: National Bureau of Economic Research, enero de 1997. http://dx.doi.org/10.3386/w5879.
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