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Artykuły w czasopismach na temat "Numerical linear and multilinear algebra"
Bini, Dario, Marilena Mitrouli, Marc Van Barel i Joab Winkler. "Structured Numerical Linear and Multilinear Algebra: Analysis, Algorithms and Applications". Linear Algebra and its Applications 502 (sierpień 2016): 1–4. http://dx.doi.org/10.1016/j.laa.2016.03.042.
Pełny tekst źródłaHuang, Zhengge, i Jingjing Cui. "Improved Brauer-type eigenvalue localization sets for tensors with their applications". Filomat 34, nr 14 (2020): 4607–25. http://dx.doi.org/10.2298/fil2014607h.
Pełny tekst źródłaSahoo, Satyajit. "On A-numerical radius inequalities for 2 x 2 operator matrices-II". Filomat 35, nr 15 (2021): 5237–52. http://dx.doi.org/10.2298/fil2115237s.
Pełny tekst źródłaKhoromskij, B. N. "Structured Rank-(r1, . . . , rd) Decomposition of Function-related Tensors in R_D". Computational Methods in Applied Mathematics 6, nr 2 (2006): 194–220. http://dx.doi.org/10.2478/cmam-2006-0010.
Pełny tekst źródłaBenzi, Michele, i Ru Huang. "Some matrix properties preserved by generalized matrix functions". Special Matrices 7, nr 1 (8.01.2019): 27–37. http://dx.doi.org/10.1515/spma-2019-0003.
Pełny tekst źródłaChoi, Yun Sung, Domingo Garcia, Sung Guen Kim i Manuel Maestre. "THE POLYNOMIAL NUMERICAL INDEX OF A BANACH SPACE". Proceedings of the Edinburgh Mathematical Society 49, nr 1 (luty 2006): 39–52. http://dx.doi.org/10.1017/s0013091502000810.
Pełny tekst źródłaQi, Liqun, Yimin Wei, Changqing Xu i Tan Zhang. "Linear algebra and multilinear algebra". Frontiers of Mathematics in China 11, nr 3 (6.05.2016): 509–10. http://dx.doi.org/10.1007/s11464-016-0540-0.
Pełny tekst źródłaMarcus, Marvin. "Multilinear methods in linear algebra". Linear Algebra and its Applications 150 (maj 1991): 41–59. http://dx.doi.org/10.1016/0024-3795(91)90158-s.
Pełny tekst źródłaQi, Liqun, Wenyu Sun i Yiju Wang. "Numerical multilinear algebra and its applications". Frontiers of Mathematics in China 2, nr 4 (październik 2007): 501–26. http://dx.doi.org/10.1007/s11464-007-0031-4.
Pełny tekst źródłaGentle, James. "Matrix Analysis and Applied Linear Algebra, Numerical Linear Algebra, and Applied Numerical Linear Algebra". Journal of the American Statistical Association 96, nr 455 (wrzesień 2001): 1136–37. http://dx.doi.org/10.1198/jasa.2001.s412.
Pełny tekst źródłaRozprawy doktorskie na temat "Numerical linear and multilinear algebra"
Waldherr, Konrad [Verfasser]. "Numerical Linear and Multilinear Algebra in Quantum Control and Quantum Tensor Networks / Konrad Waldherr". München : Verlag Dr. Hut, 2014. http://d-nb.info/1064560601/34.
Pełny tekst źródłaLim, Lek-Heng. "Foundations of numerical multilinear algebra : decomposition and approximation of tensors /". May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.
Pełny tekst źródłaBattles, Zachary. "Numerical linear algebra for continuous functions". Thesis, University of Oxford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427900.
Pełny tekst źródłaHigham, N. J. "Nearness problems in numerical linear algebra". Thesis, University of Manchester, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374580.
Pełny tekst źródłaZounon, Mawussi. "On numerical resilience in linear algebra". Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0038/document.
Pełny tekst źródłaAs the computational power of high performance computing (HPC) systems continues to increase by using huge number of cores or specialized processing units, HPC applications are increasingly prone to faults. This study covers a new class of numerical fault tolerance algorithms at application level that does not require extra resources, i.e., computational unit or computing time, when no fault occurs. Assuming that a separate mechanism ensures fault detection, we propose numerical algorithms to extract relevant information from available data after a fault. After data extraction, well chosen part of missing data is regenerated through interpolation strategies to constitute meaningful inputs to numerically restart the algorithm. We have designed these methods called Interpolation-restart techniques for numerical linear algebra problems such as the solution of linear systems or eigen-problems that are the inner most numerical kernels in many scientific and engineering applications and also often ones of the most time consuming parts. In the framework of Krylov subspace linear solvers the lost entries of the iterate are interpolated using the available entries on the still alive nodes to define a new initial guess before restarting the Krylov method. In particular, we consider two interpolation policies that preserve key numerical properties of well-known linear solvers, namely the monotony decrease of the A-norm of the error of the conjugate gradient or the residual norm decrease of GMRES. We assess the impact of the fault rate and the amount of lost data on the robustness of the resulting linear solvers.For eigensolvers, we revisited state-of-the-art methods for solving large sparse eigenvalue problems namely the Arnoldi methods, subspace iteration methods and the Jacobi-Davidson method, in the light of Interpolation-restart strategies. For each considered eigensolver, we adapted the Interpolation-restart strategies to regenerate as much spectral information as possible. Through intensive experiments, we illustrate the qualitative numerical behavior of the resulting schemes when the number of faults and the amount of lost data are varied; and we demonstrate that they exhibit a numerical robustness close to that of fault-free calculations. In order to assess the efficiency of our numerical strategies, we have consideredan actual fully-featured parallel sparse hybrid (direct/iterative) linear solver, MaPHyS, and we proposed numerical remedies to design a resilient version of the solver. The solver being hybrid, we focus in this study on the iterative solution step, which is often the dominant step in practice. The numerical remedies we propose are twofold. Whenever possible, we exploit the natural data redundancy between processes from the solver toperform an exact recovery through clever copies over processes. Otherwise, data that has been lost and is not available anymore on any process is recovered through Interpolationrestart strategies. These numerical remedies have been implemented in the MaPHyS parallel solver so that we can assess their efficiency on a large number of processing units (up to 12; 288 CPU cores) for solving large-scale real-life problems
Kannan, Ramaseshan. "Numerical linear algebra problems in structural analysis". Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/numerical-linear-algebra-problems-in-structural-analysis(7df0f708-fc12-4807-a1f5-215960d9c4d4).html.
Pełny tekst źródłaSteele, Hugh Paul. "Combinatorial arguments for linear logic full completeness". Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/combinatorial-arguments-for-linear-logic-full-completeness(274c6b87-dc58-4dc3-86bc-8c29abc2fc34).html.
Pełny tekst źródłaGulliksson, Rebecka. "A comparison of parallelization approaches for numerical linear algebra". Thesis, Umeå universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-81116.
Pełny tekst źródłaSong, Zixu. "Software engineering abstractions for a numerical linear algebra library". Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/software-engineering-abstractions-for-a-numerical-linear-algebra-library(68304a9b-56db-404b-8ffb-4613f5102c1a).html.
Pełny tekst źródłaSato, Hiroyuki. "Riemannian Optimization Algorithms and Their Applications to Numerical Linear Algebra". 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/180615.
Pełny tekst źródłaKsiążki na temat "Numerical linear and multilinear algebra"
service), SpringerLink (Online, red. The Linear Algebra a Beginning Graduate Student Ought to Know. Wyd. 3. Dordrecht: Springer Netherlands, 2012.
Znajdź pełny tekst źródłaMultilinear algebra. Amsterdam: Gordon and Breach Science Publishers, 1997.
Znajdź pełny tekst źródłaNumerical linear algebra. New York, NY: Springer, 2008.
Znajdź pełny tekst źródłaReichel, Lothar, Arden Ruttan i Richard S. Varga, red. Numerical Linear Algebra. Berlin, New York: DE GRUYTER, 1993. http://dx.doi.org/10.1515/9783110857658.
Pełny tekst źródłaAllaire, Grégoire, i Sidi Mahmoud Kaber. Numerical Linear Algebra. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-68918-0.
Pełny tekst źródłaBornemann, Folkmar. Numerical Linear Algebra. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74222-9.
Pełny tekst źródłaDavid, Bau, red. Numerical linear algebra. Philadelphia: Society for Industrial and Applied Mathematics, 1997.
Znajdź pełny tekst źródłaO, Christenson Charles, i Smith Bryan A, red. Numerical linear algebra. Moscow, Idaho: BCS Associates, 1991.
Znajdź pełny tekst źródłaBourhim, A., J. Mashreghi, L. Oubbi i Z. Abdelali, red. Linear and Multilinear Algebra and Function Spaces. Providence, Rhode Island: American Mathematical Society, 2020. http://dx.doi.org/10.1090/conm/750.
Pełny tekst źródłaPetersen, Peter. Linear Algebra. New York, NY: Springer New York, 2012.
Znajdź pełny tekst źródłaCzęści książek na temat "Numerical linear and multilinear algebra"
Bourbaki, Nicolas. "Linear Algebra and Multilinear Algebra". W Elements of the History of Mathematics, 57–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-61693-8_4.
Pełny tekst źródłaBullo, Francesco, i Andrew D. Lewis. "Linear and multilinear algebra". W Texts in Applied Mathematics, 15–48. New York, NY: Springer New York, 2005. http://dx.doi.org/10.1007/978-1-4899-7276-7_2.
Pełny tekst źródłaHestenes, David, i Garret Sobczyk. "Linear and Multilinear Functions". W Clifford Algebra to Geometric Calculus, 63–136. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-6292-7_3.
Pełny tekst źródłaLoehr, Nicholas A. "Universal Mapping Problems in Multilinear Algebra". W Advanced Linear Algebra, 571–606. Wyd. 2. Boca Raton: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003484561-20.
Pełny tekst źródłaSerre, Denis. "Elementary Linear and Multilinear Algebra". W Graduate Texts in Mathematics, 1–14. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7683-3_1.
Pełny tekst źródłaLi, PhD, Haksun. "Linear Algebra". W Numerical Methods Using Kotlin, 35–139. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8826-9_2.
Pełny tekst źródłaLi, PhD, Haksun. "Linear Algebra". W Numerical Methods Using Java, 71–206. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-6797-4_2.
Pełny tekst źródłaRobbiano, Lorenzo. "Numerical and Symbolic Computations". W Linear algebra, 1–6. Milano: Springer Milan, 2011. http://dx.doi.org/10.1007/978-88-470-1839-6_1.
Pełny tekst źródłaGentle, James E. "Numerical Linear Algebra". W Springer Texts in Statistics, 523–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64867-5_11.
Pełny tekst źródłaČížková, Lenka, i Pavel Čížek. "Numerical Linear Algebra". W Handbook of Computational Statistics, 105–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21551-3_5.
Pełny tekst źródłaStreszczenia konferencji na temat "Numerical linear and multilinear algebra"
Clarkson, Kenneth L., i David P. Woodruff. "Numerical linear algebra in the streaming model". W the 41st annual ACM symposium. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1536414.1536445.
Pełny tekst źródłaAmmar, Gregory. "Grassmannians, Riccati equations, and numerical linear algebra". W 1985 24th IEEE Conference on Decision and Control. IEEE, 1985. http://dx.doi.org/10.1109/cdc.1985.268867.
Pełny tekst źródłaMeier, Ulrike, i Ahmed Sameh. "Numerical Linear Algebra On The CEDAR Multiprocessor". W 31st Annual Technical Symposium, redaktor Franklin T. Luk. SPIE, 1988. http://dx.doi.org/10.1117/12.942008.
Pełny tekst źródłaVáclavíková, Zuzana, i Ondřej Kolouch. "Linear algebra for students of informatics". W INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0027086.
Pełny tekst źródłaKrake, Tim. "Numerical Linear Algebra for physically-based Fluid Animations". W SA '19: SIGGRAPH Asia 2019. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3366344.3366445.
Pełny tekst źródłaGeorganas, Evangelos, Jorge Gonzalez-Dominguez, Edgar Solomonik, Yili Zheng, Juan Tourino i Katherine Yelick. "Communication avoiding and overlapping for numerical linear algebra". W 2012 SC - International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2012. http://dx.doi.org/10.1109/sc.2012.32.
Pełny tekst źródłaWu, Wenyuan, i Greg Reid. "Application of numerical algebraic geometry and numerical linear algebra to PDE". W the 2006 international symposium. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1145768.1145824.
Pełny tekst źródłaValley, George C., Thomas J. Shaw, Andrew D. Stapleton, Adam C. Scofield, George A. Sefler i Leif Johannson. "Application of laser speckle to randomized numerical linear algebra". W Optical Data Science: Trends Shaping the Future of Photonics, redaktorzy Ken-ichi Kitayama, Bahram Jalali i Ata Mahjoubfar. SPIE, 2018. http://dx.doi.org/10.1117/12.2294574.
Pełny tekst źródłaHu, Dong, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh i Vassilis Kalantzis. "Sparse Graph Based Sketching for Fast Numerical Linear Algebra". W ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9414030.
Pełny tekst źródłaKrüger, Jens, i Rüdiger Westermann. "Linear algebra operators for GPU implementation of numerical algorithms". W ACM SIGGRAPH 2005 Courses. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1198555.1198795.
Pełny tekst źródłaRaporty organizacyjne na temat "Numerical linear and multilinear algebra"
Bradley, John S. Special Year on Numerical Linear Algebra. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1988. http://dx.doi.org/10.21236/ada208199.
Pełny tekst źródłaCarson, E. Final Report: Mixed Precision Numerical Linear Algebra. Office of Scientific and Technical Information (OSTI), czerwiec 2021. http://dx.doi.org/10.2172/1798446.
Pełny tekst źródłaCarson, E. Final Report: Mixed Precision Numerical Linear Algebra. Office of Scientific and Technical Information (OSTI), czerwiec 2022. http://dx.doi.org/10.2172/1872699.
Pełny tekst źródłaCarson, E. Final Report: Mixed Precision Numerical Linear Algebra. Office of Scientific and Technical Information (OSTI), październik 2023. http://dx.doi.org/10.2172/2204467.
Pełny tekst źródłaCarson, E. Final Report: Mixed Precision Numerical Linear Algebra. Office of Scientific and Technical Information (OSTI), grudzień 2023. http://dx.doi.org/10.2172/2280470.
Pełny tekst źródłaGeorganas, Evangelos, Jorge Gonzalez-Dominguez, Edgar Solomonik, Yili Zheng, Juan Tourino i Katherine A. Yelick. Communication Avoiding and Overlapping for Numerical Linear Algebra. Fort Belvoir, VA: Defense Technical Information Center, maj 2012. http://dx.doi.org/10.21236/ada561679.
Pełny tekst źródłaVu, Van H. Random Matrices, Combinatorics, Numerical Linear Algebra and Complex Networks. Fort Belvoir, VA: Defense Technical Information Center, luty 2012. http://dx.doi.org/10.21236/ada567088.
Pełny tekst źródłaDemmel, James. Conference: Three Decades of Numerical Linear Algebra at Berkeley. Fort Belvoir, VA: Defense Technical Information Center, kwiecień 1993. http://dx.doi.org/10.21236/ada264964.
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