Literatura académica sobre el tema "Matroid Constraints"
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Artículos de revistas sobre el tema "Matroid Constraints"
Dror, Amitay, Michal Feldman y Erel Segal-Halevi. "On Fair Division under Heterogeneous Matroid Constraints". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 6 (18 de mayo de 2021): 5312–20. http://dx.doi.org/10.1609/aaai.v35i6.16670.
Texto completoKamiyama, Naoyuki. "MATROID INTERSECTION WITH PRIORITY CONSTRAINTS". Journal of the Operations Research Society of Japan 56, n.º 1 (2013): 15–25. http://dx.doi.org/10.15807/jorsj.56.15.
Texto completoFriedrich, Tobias y Frank Neumann. "Maximizing Submodular Functions under Matroid Constraints by Evolutionary Algorithms". Evolutionary Computation 23, n.º 4 (diciembre de 2015): 543–58. http://dx.doi.org/10.1162/evco_a_00159.
Texto completoDo, Anh Viet y Frank Neumann. "Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 14 (18 de mayo de 2021): 12284–92. http://dx.doi.org/10.1609/aaai.v35i14.17458.
Texto completoBiswas, Arpita y Siddharth Barman. "Matroid Constrained Fair Allocation Problem". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 9921–22. http://dx.doi.org/10.1609/aaai.v33i01.33019921.
Texto completoGu, Yu-Ran, Chao Bian y Chao Qian. "Submodular Maximization under the Intersection of Matroid and Knapsack Constraints". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 4 (26 de junio de 2023): 3959–67. http://dx.doi.org/10.1609/aaai.v37i4.25510.
Texto completoSuksompong, Warut. "Constraints in fair division". ACM SIGecom Exchanges 19, n.º 2 (noviembre de 2021): 46–61. http://dx.doi.org/10.1145/3505156.3505162.
Texto completoKirály, Csaba, Zoltán Szigeti y Shin-ichi Tanigawa. "Packing of arborescences with matroid constraints via matroid intersection". Mathematical Programming 181, n.º 1 (2 de abril de 2019): 85–117. http://dx.doi.org/10.1007/s10107-019-01377-0.
Texto completoSrinivas, Mandayam A. "Matroid optimization with generalized constraints". Discrete Applied Mathematics 63, n.º 2 (noviembre de 1995): 161–74. http://dx.doi.org/10.1016/0166-218x(94)00031-8.
Texto completoRamalingam, Srikumar, Arvind Raghunathan y Daniel Nikovski. "Submodular Function Maximization for Group Elevator Scheduling". Proceedings of the International Conference on Automated Planning and Scheduling 27 (5 de junio de 2017): 233–41. http://dx.doi.org/10.1609/icaps.v27i1.13799.
Texto completoTesis sobre el tema "Matroid Constraints"
Reimers, Arne Cornelis [Verfasser]. "Metabolic Networks, Thermodynamic Constraints, and Matroid Theory / Arne C. Reimers". Berlin : Freie Universität Berlin, 2014. http://d-nb.info/1058587331/34.
Texto completoHarini, Desiraju Harini. "Matrix models and Virasoro constraints". Thesis, Uppsala universitet, Teoretisk fysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-276090.
Texto completoFlieger, Wojciech. "Constraints on neutrino mixing from matrix theory". Doctoral thesis, Katowice : Uniwersytet Śląski, 2021. http://hdl.handle.net/20.500.12128/21721.
Texto completoLecharlier, 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.
Texto completoDoctorat en Sciences
info:eu-repo/semantics/nonPublished
Strabic, Natasa. "Theory and algorithms for matrix problems with positive semidefinite constraints". Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/theory-and-algorithms-for-matrix-problems-with-positive-semidefinite-constraints(5c8ac15f-9666-4682-9297-73d976bed63e).html.
Texto completoChia, Liang. "Language shift in a Singaporean Chinese family and the matrix language frame model". Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365765.
Texto completoXu, Da. "Classical groups, integrals and Virasoro constraints". Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/629.
Texto completoBai, Shuanghua. "Numerical methods for constrained Euclidean distance matrix optimization". Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/401542/.
Texto completoJin, Shengzhe. "Quality Assessment Planning Using Design Structure Matrix and Resource Constraint Analysis". University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1292518039.
Texto completoMenzel, Andreas. "Constraints on the Fourth-Generation Quark Mixing Matrix from Precision Flavour Observables". Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2017. http://dx.doi.org/10.18452/17711.
Texto completoThe Standard Model extended by an additional sequential generation of Dirac fermions (SM4) was excluded with a significance of 5.3 sigma in 2012. This was achieved in a combined fit of the SM4 to Electroweak Precision Observables and signal strengths of the Higgs boson. This thesis complements this excludion by a fit of the SM4 to a typical set of Flavour physics observables and the results of the previously performed Electroweak Precision fit. Quantities extracted in an SM3 framework are reinterpreted in SM4 terms and the adapted theoretical expressions are given. The resultant constraints on the SM4''s CKM matrix, its potentially CP-violating phases and the mass of the new up-type quark t'' are given. To compare the relative performance of the SM4 and the SM3, this work uses the chi^2 values achieved in the fit. The values of 15.53 for the SM4 and 9.56 for the SM4 are almost perfectly consistent with both models describing the experimental data equally well with the SM3 having six degrees of freedom more. The dimuon charge asymmetry ASL was not used as a fit input because the interpretation of its measurement was subject to debate at the time when the fits were produced, but its prediction in the fit was used as an additional test of the SM4. The SM3''s prediction differs from the experimental values by about 2 sigma, and the SM4''s prediction by about 3 sigma. \par In summary, these results do not suggest that any significant reduction of the 5.3 sigma exclusion could be achieved by combining the Electroweak Precision Observables and Higgs inputs with Flavour physics data. However, the exact effect of the Flavour physics input on the significance of the SM4''s exclusion cannot be given at this point because the CKMfitter software is currently not able to perform a statistically stringent likelihood comparison of non-nested models.
Libros sobre el tema "Matroid Constraints"
C, Chamis C. y United States. National Aeronautics and Space Administration., eds. Composite laminate tailoring with probabilistic constraints and loads. [Washington, D.C.]: NASA, 1990.
Buscar texto completoLi, Huacheng. Estimation of Q-matrix for DINA Model Using the Constrained Generalized DINA Framework. [New York, N.Y.?]: [publisher not identified], 2016.
Buscar texto completoCoolen, A. C. C., A. Annibale y E. S. Roberts. Soft constraints: exponential random graph models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0004.
Texto completoIts, Alexander R. Random matrix theory and integrable systems. Editado por Gernot Akemann, Jinho Baik y Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.10.
Texto completoBeenakker, Carlo W. J. Extreme eigenvalues of Wishart matrices: application to entangled bipartite system. Editado por Gernot Akemann, Jinho Baik y Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.37.
Texto completoHu, Xuhui. The syntax and semantics of English resultatives. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808466.003.0003.
Texto completoHu, Xuhui. Encoding applied arguments. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808466.003.0006.
Texto completoFrascarelli, Mara. The interpretation of pro in consistent and partial null-subject languages. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198815853.003.0009.
Texto completoRonen, Boaz, Joseph S. Pliskin, Shimeon Pass y Donald M. Berwick. The Hospital and Clinic Improvement Handbook. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190843458.001.0001.
Texto completoJohnston, Ron. Geography and International Studies: The Foundations. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.199.
Texto completoCapítulos de libros sobre el tema "Matroid Constraints"
Benabbou, Nawal, Cassandre Leroy, Thibaut Lust y Patrice Perny. "Interactive Optimization of Submodular Functions Under Matroid Constraints". En Algorithmic Decision Theory, 307–22. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87756-9_20.
Texto completoHenzinger, Monika y Angelina Vidali. "Multi-parameter Mechanism Design under Budget and Matroid Constraints". En Algorithms – ESA 2011, 192–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23719-5_17.
Texto completoKamiyama, Naoyuki. "The Popular Matching and Condensation Problems Under Matroid Constraints". En Combinatorial Optimization and Applications, 713–28. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12691-3_53.
Texto completoLiu, Zhicheng, Jing Jin, Donglei Du y Xiaoyan Zhang. "Two-Stage Submodular Maximization Under Knapsack and Matroid Constraints". En Lecture Notes in Computer Science, 140–54. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20350-3_13.
Texto completoKamiyama, Naoyuki. "Stable Matchings with Ties, Master Preference Lists, and Matroid Constraints". En Algorithmic Game Theory, 3–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48433-3_1.
Texto completoIwamasa, Yuni y Kenjiro Takazawa. "Optimal Matroid Bases with Intersection Constraints: Valuated Matroids, M-convex Functions, and Their Applications". En Lecture Notes in Computer Science, 156–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59267-7_14.
Texto completovan Bevern, René, Oxana Yu Tsidulko y Philipp Zschoche. "Fixed-Parameter Algorithms for Maximum-Profit Facility Location Under Matroid Constraints". En Lecture Notes in Computer Science, 62–74. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17402-6_6.
Texto completoFriedrich, Tobias y Frank Neumann. "Maximizing Submodular Functions under Matroid Constraints by Multi-objective Evolutionary Algorithms". En Parallel Problem Solving from Nature – PPSN XIII, 922–31. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10762-2_91.
Texto completoBuchbinder, Niv, Joseph Naor, R. Ravi y Mohit Singh. "Approximation Algorithms for Online Weighted Rank Function Maximization under Matroid Constraints". En Automata, Languages, and Programming, 145–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31594-7_13.
Texto completoDo, Anh Viet y Frank Neumann. "Maximizing Submodular or Monotone Functions Under Partition Matroid Constraints by Multi-objective Evolutionary Algorithms". En Parallel Problem Solving from Nature – PPSN XVI, 588–603. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58115-2_41.
Texto completoActas de conferencias sobre el tema "Matroid Constraints"
Madan, Vivek, Aleksandar Nikolov, Mohit Singh y Uthaipon Tantipongpipat. "Maximizing Determinants under Matroid Constraints". En 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2020. http://dx.doi.org/10.1109/focs46700.2020.00059.
Texto completoAbbassi, Zeinab, Vahab S. Mirrokni y Mayur Thakur. "Diversity maximization under matroid constraints". En KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2487575.2487636.
Texto completoCeccarello, Matteo, Andrea Pietracaprina y Geppino Pucci. "Fast Coreset-based Diversity Maximization under Matroid Constraints". En WSDM 2018: The Eleventh ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3159652.3159719.
Texto completoClark, Andrew, Basel Alomair, Linda Bushnell y Radha Poovendran. "Scalable and distributed submodular maximization with matroid constraints". En 2015 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt). IEEE, 2015. http://dx.doi.org/10.1109/wiopt.2015.7151103.
Texto completoLee, Jon, Vahab S. Mirrokni, Viswanath Nagarajan y Maxim Sviridenko. "Non-monotone submodular maximization under matroid and knapsack constraints". En the 41st annual ACM symposium. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1536414.1536459.
Texto completoEne, Alina, Huy L. Nguyễn y Adrian Vladu. "Submodular maximization with matroid and packing constraints in parallel". En STOC '19: 51st Annual ACM SIGACT Symposium on the Theory of Computing. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3313276.3316389.
Texto completoWilliams, Ryan K., Andrea Gasparri y Giovanni Ulivi. "Decentralized matroid optimization for topology constraints in multi-robot allocation problems". En 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017. http://dx.doi.org/10.1109/icra.2017.7989038.
Texto completoWu, Benwei y Kai Han. "Fast Algorithm for Big Data Summarization with Knapsack and Partition Matroid Constraints". En 2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). IEEE, 2022. http://dx.doi.org/10.1109/inista55318.2022.9894252.
Texto completoKawase, Yasushi, Hanna Sumita y Yu Yokoi. "Random Assignment of Indivisible Goods under Constraints". En 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.2023/311.
Texto completoBiswas, Arpita y Siddharth Barman. "Fair Division Under Cardinality Constraints". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/13.
Texto completoInformes sobre el tema "Matroid Constraints"
Heinstein, M. W. An algorithm for enforcement of contact constraints in quasistatic applications using matrix-free solution algorithms. Office of Scientific and Technical Information (OSTI), octubre de 1997. http://dx.doi.org/10.2172/554827.
Texto completoHeinkenschloss, Matthias, Denis Ridzal y Miguel Antonio Aguilo. Numerical study of a matrix-free trust-region SQP method for equality constrained optimization. Office of Scientific and Technical Information (OSTI), diciembre de 2011. http://dx.doi.org/10.2172/1038211.
Texto completoCarvalho, Joana y Gerardo Reyes-Tagle. Risk Matrix and PPP Contract Standardization, Best Practice, and Gap Analysis in Brazil. Inter-American Development Bank, abril de 2022. http://dx.doi.org/10.18235/0004213.
Texto completoBrenan, J. M., K. Woods, J. E. Mungall y R. Weston. Origin of chromitites in the Esker Intrusive Complex, Ring of Fire Intrusive Suite, as revealed by chromite trace element chemistry and simple crystallization models. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328981.
Texto completoHIGH PRECISION IDENTIFICATION METHOD OF MASS AND STIFFNESS MATRIX FOR SHEAR-TYPE FRAME TEST MODEL. The Hong Kong Institute of Steel Construction, junio de 2023. http://dx.doi.org/10.18057/ijasc.2023.19.2.6.
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