Literatura científica selecionada sobre o tema "Cuppen Divide and Conquer"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Índice
Consulte a lista de atuais artigos, livros, teses, anais de congressos e outras fontes científicas relevantes para o tema "Cuppen Divide and Conquer".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Artigos de revistas sobre o assunto "Cuppen Divide and Conquer"
Thangavelu, Govindarajan, e Colin C. Anderson. "Divide and conquer". Chimerism 2, n.º 1 (janeiro de 2011): 29–32. http://dx.doi.org/10.4161/chim.15083.
Texto completo da fonteTanenbaum, Leora, Sherrye Henry, Rene Denfeld e Barbara Findlen. "Divide and Conquer?" Women's Review of Books 12, n.º 9 (junho de 1995): 5. http://dx.doi.org/10.2307/4022083.
Texto completo da fonteKester, Grant H. "Divide and Conquer". Afterimage 18, n.º 8 (1 de março de 1991): 4. http://dx.doi.org/10.1525/aft.1991.18.8.4.
Texto completo da fonteD'Ambrosia, Robert. "Divide and Conquer". Orthopedics 11, n.º 12 (dezembro de 1988): 1643. http://dx.doi.org/10.3928/0147-7447-19881201-05.
Texto completo da fonteNeville-Neil, George V. "Divide and Conquer". Queue 19, n.º 3 (30 de junho de 2021): 37–39. http://dx.doi.org/10.1145/3475965.3477581.
Texto completo da fonteNeville-Neil, George V. "Divide and conquer". Communications of the ACM 64, n.º 10 (outubro de 2021): 25. http://dx.doi.org/10.1145/3481431.
Texto completo da fonteMushtaq, Najum. "Divide and conquer". Bulletin of the Atomic Scientists 63, n.º 1 (1 de janeiro de 2007): 17–19. http://dx.doi.org/10.2968/063001005.
Texto completo da fonteBeran, Michael J., Andrew J. Kelly, Bonnie M. Perdue, Will Whitham, Melany Love, Victoria Kelly e Audrey E. Parrish. "Divide and Conquer". Experimental Psychology 66, n.º 4 (julho de 2019): 296–309. http://dx.doi.org/10.1027/1618-3169/a000454.
Texto completo da fonteCrow, Diana. "Divide and Conquer". Scientific American 315, n.º 2 (19 de julho de 2016): 14–15. http://dx.doi.org/10.1038/scientificamerican0816-14b.
Texto completo da fonteNunes-Alves, Cláudio. "Divide and conquer". Nature Reviews Microbiology 12, n.º 12 (10 de novembro de 2014): 794. http://dx.doi.org/10.1038/nrmicro3387.
Texto completo da fonteTeses / dissertações sobre o assunto "Cuppen Divide and Conquer"
Courtois, Jérôme. "Leak study of cryptosystem implementations in randomized RNS arithmetic". Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS290.
Texto completo da fonteWe will speak of strong analysis for an analysis which makes it possible to find the key to a cryptographic system. We define a weak analysis in the case where candidate keys are eliminated. The goal of this thesis is to understand the behavior of the random of Hamming distances produced by an ECC (Elliptic Curve for Cryptography) cryptographic system when using a RNS (Residue Number System) representation with the random moduli method. Chapter 2 introduces the different concepts for understanding this document. He brieflyintroducesthemodularmultiplicationalgorithm(MontgomeryalgorithmforRNS) which inspired the method of random moduli. Then it describes the algorithm which generatestheHammingdistancesequencesnecessaryforouranalysis. Thenitshowswhat level of resistance brings the method of random moduli against different classic attacks like DPA (Diferrential Power Analysis), CPA (Correlation Power Analysis), DPA of the second order and MIA (Mutual Information Analysis). We provide an understanding of the distribution of Hamming distances considered to be random variables. Following this, we add the Gaussian hypothesis on Hamming distances. We use MLE (Maximum Likelihood Estimator) and a strong analysis as to make Template Attacks to have a fine understanding of the level of random brought by the method of random moduli. The last Chapter 4 begins by briefly introducing the algorithmic choices which have been made to solve the problems of inversion of covariance matrices (symmetric definite positive) of Section 2.5 and the analysis of strong relationships between Hamming in Section 3.2. We use here Graphics Processing Unit (GPU) tools on a very large number of small size matrices. We talk about Batch Computing. The LDLt method presented at the beginning of this chapter proved to be insufficient to completely solve the problem of conditioned MLE presented in Section 3.4. We present work on the improvement of a diagonalization code of a tridiagonal matrix using the principle of Divide & Conquer developed by Lokmane Abbas-Turki and Stéphane Graillat. We present a generalization of this code, optimizations in computation time and an improvement of the accuracy of computations in simple precision for matrices of size lower than 32
Pantawongdecha, Payut. "Autotuning divide-and-conquer matrix-vector multiplication". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105968.
Texto completo da fonteThis 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 73-75).
Divide and conquer is an important concept in computer science. It is used ubiquitously to simplify and speed up programs. However, it needs to be optimized, with respect to parameter settings for example, in order to achieve the best performance. The problem boils down to searching for the best implementation choice on a given set of requirements, such as which machine the program is running on. The goal of this thesis is to apply and evaluate the Ztune approach [14] on serial divide-and-conquer matrix-vector multiplication. We implemented Ztune to autotune serial divide-and-conquer matrix-vector multiplication on machines with different hardware configurations, and found that Ztuneoptimized codes ran 1%-5% faster than the hand-optimized counterparts. We also compared Ztune-optimized results with other matrix-vector multiplication libraries including the Intel Math Kernel Library and OpenBLAS. Since the matrix-vector multiplication problem is a level 2 BLAS, it is not as computationally intensive as level 3 BLAS problems such as matrix-matrix multiplication and stencil computation. As a result, the measurement in matrix-vector multiplication is more prone to error from factors such as noise, cache alignment of the matrix, and cache states, which lead to wrong decision choices for Ztune. We explored multiple options to get more accurate measurements and demonstrated the techniques that remedied these issues. Lastly, we applied the Ztune approach to matrix-matrix multiplication, and we were able to achieve 2%-85% speedup compared to the hand-tuned code. This thesis represents joint work with Ekanathan Palamadai Natarajan.
by Payut Pantawongdecha.
M. Eng.
Jewell, Sean William. "Divide and conquer sequential Monte Carlo for phylogenetics". Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54514.
Texto completo da fonteScience, Faculty of
Statistics, Department of
Graduate
Piper, Andrew James. "Object-oriented divide-and-conquer for parallel processing". Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337783.
Texto completo da fonteScardillo, Mike, e Mike Nisel. "Divide and Conquer: Improving Post-Flight Data Processing". International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/608595.
Texto completo da fonteThis paper describes Dryden Flight Research Center's (DFRC's) transition from a mainframe-oriented post-flight data processing system, heavily dependent upon manual operation and scheduling, to a modern, distributed, highly automated system. After developing requirements and a concept development plan, DFRC replaced one multiple-CPU mainframe with five specialized servers, distributing the processing workload and separating functions. Access to flight data was improved by buying and building client server automated retrieval software that takes advantage of the local area network, and by providing over 500 gigabytes of on-line archival storage space. Engineering customers see improved access times and continuous availability (7-days per week, 24-hours per day) of flight research data. A significant reduction in computer operator workload was achieved, and minimal computer operator intervention is now required for flight data retrieval operations. This new post-flight system architecture was designed and built to provide flexibility, extensibility and cost-effective upgradeability. Almost two years of successful operation have proven the viability of the system. Future improvements will focus on decreasing the elapsed time between raw data capture and engineering unit data archival, increasing the on-line archival storage capacity, and decreasing the automated data retrieval response time.
Khoshfetrat, Pakazad Sina. "Divide and Conquer: Distributed Optimization and Robustness Analysis". Doctoral thesis, Linköpings universitet, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-117503.
Texto completo da fonteYu, Fangqing. "A divide-and-conquer method for 3D capacitance extraction". Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/166.
Texto completo da fonteMoinuddin, Md. "A divide and conquer approach for large spatial dataset". Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3425417.
Texto completo da fonteNegli ultimi due decenni l'avvento dei \textit{big-data} ha portato sfide computazionali in tutte le principali discipline della ricerca scientifica. Anche la Statistica spaziale sta affrontando questa sfida. Quando un modello parametrico viene proposto per \textit{big-data}, la stima parametrica e la quantificazione dell'incertezza nella stima comporta un carico computazionale importante. Per questo sono stati proposti molti metodi per gestire queste sfide quali la riduzione della dimensionalit\`a, l'approssimazione mediante campi casuali di Markov, la rastremazione \textit{tapering} della matrice di covarianza e approcci basati sul campionamento. In questa tesi si propone un nuovo approccio \textit{divide-and-conquer} detto \texttt{farmer} per la stima e la valutazione dell'incertezza dei parametri in modelli spaziali in presenza di grandi moli di dati spaziali. Secondo l'approccio proposto tutte le osservazioni vengono divise in blocchi mutualmente esclusivi secondo la loro posizione e per ogni blocco si stimano i parametri del modello. Le stime vengono quindi ricombinate tramite un meta-modello a effetti fissi o casuali per tenere conto della (eventuale) dipendenza spaziale. Il metodo risulta completamente generale e può essere applicato ad un ampia gamma di modelli spaziali A titolo d'esempio viene considerato un modello spaziale lineare gaussiano. In uno studio di simulazione gli stimatori \texttt{farmer} sono stati confrontati con stimatori che si basano sulla medesima idea di campionamento Sempre nel contesto del modello gaussiano si presentano due applicazioni con dati reali. Il metodo proposto \`{e} risultato computazionalmente efficiente rispetto ai metodi concorrenti, con distorsione delle stime inferiore. Inoltre, l'approccio proposto fornisce una stima pi\`{u} realistica degli errori standard. Infine si propone un'applicazione del metodo a modelli spaziali lineari generalizzati per dati di conteggio simulati e reali.
Esmaeili, Javad. "Parallel implementation of funtional languages using divide-and-conquer strategies". Thesis, University of Salford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308109.
Texto completo da fonteSimpson, Leonie Ruth. "Divide and conquer attacks on shift register based stream ciphers". Thesis, Queensland University of Technology, 2000.
Encontre o texto completo da fonteLivros sobre o assunto "Cuppen Divide and Conquer"
Cummins, Maureen. Divide & conquer. Rosendale, N.Y.]: [Women's Studio Workshop], 2007.
Encontre o texto completo da fonteDivide & conquer. [Place of publication not identified]: Murray Mcdonald, 2011.
Encontre o texto completo da fonteill, Mercado Jorge, e Aesop, eds. Divide to conquer. Houston: Advance Pub., 2009.
Encontre o texto completo da fonteClancy, Tom. Divide and conquer. New York: Simon & Schuster Audio, 2000.
Encontre o texto completo da fonteCopyright Paperback Collection (Library of Congress), ed. Divide and conquer. New York: Berkley Pub. Group, 2000.
Encontre o texto completo da fonteSmith, Diana McLain. Divide or Conquer. New York: Penguin Group (USA), Inc., 2008.
Encontre o texto completo da fonteClancy, Tom. Divide and conquer. New York: Berkley Books, 2000.
Encontre o texto completo da fonte1947-, Clancy Tom, e Pieczenik Steve, eds. Divide and conquer. London: HarperCollins, 2000.
Encontre o texto completo da fonteClancy, Tom. Divide and Conquer. New York: Penguin USA, Inc., 2009.
Encontre o texto completo da fonteill, Mercado Jorge, e Aesop, eds. Divide to conquer =: Divide y venceras. Houston: Advance Pub., 2009.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Cuppen Divide and Conquer"
Al-Haj Baddar, Sherenaz W., e Kenneth E. Batcher. "Divide and Conquer". In Designing Sorting Networks, 43–47. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1851-1_7.
Texto completo da fonteFreeman, Kassie. "Divide and Conquer". In Community Engagement in Higher Education, 31–39. Rotterdam: SensePublishers, 2015. http://dx.doi.org/10.1007/978-94-6300-007-9_2.
Texto completo da fonteCynkin, Thomas M. "Divide and Conquer". In Soviet and American Signalling in the Polish Crisis, 68–108. London: Palgrave Macmillan UK, 1988. http://dx.doi.org/10.1007/978-1-349-09694-7_3.
Texto completo da fonteSkiena, Steven S. "Divide and Conquer". In Texts in Computer Science, 147–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54256-6_5.
Texto completo da fonteShekhar, Shashi, e Hui Xiong. "Divide and Conquer". In Encyclopedia of GIS, 254. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_321.
Texto completo da fonteCarpenter, Stanley D. M., Kevin J. Delamer, James R. McIntyre e Andrew T. Zwilling. "Divide and Conquer". In The War of American Independence, 1763-1783, 99–119. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003041276-7.
Texto completo da fonteIzadkhah, Habib. "Divide and Conquer". In Problems on Algorithms, 351–400. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17043-0_10.
Texto completo da fonteDu, Ding-Zhu, Panos Pardalos, Xiaodong Hu e Weili Wu. "Divide-and-Conquer". In Introduction to Combinatorial Optimization, 13–41. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10596-8_2.
Texto completo da fonteDixon, Andrew. "Divide and Conquer". In Practical Guide to IT Problem Management, 37–40. Boca Raton: Auerbach Publications, 2022. http://dx.doi.org/10.1201/9781003119975-8.
Texto completo da fonteSherine, Anli, Mary Jasmine, Geno Peter e S. Albert Alexander. "Divide and Conquer". In Algorithm and Design Complexity, 43–73. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003355403-2.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Cuppen Divide and Conquer"
Zhang, Chuanjun, e Bing Xue. "Divide-and-conquer". In the 23rd international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1542275.1542291.
Texto completo da fonteLyons, Kathy M., e Ryan Thomas Sharpe. "Divide & conquer". In Proceeding of the 39th ACM annual conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2070364.2070368.
Texto completo da fonteAmato, Ariel, Angel D. Sappa, Alicia Fornés, Felipe Lumbreras e Josep Lladós. "Divide and conquer". In the 2nd ACM international workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2506364.2506371.
Texto completo da fonteNakano, Aiichiro, Shinnosuke Hattori, Rajiv K. Kalia, Weiwei Mou, Ken-ichi Nomura, Pankaj Rajak, Priya Vashishta et al. "Divide-Conquer-Recombine". In Beowulf '14: Workshop in Honor of Thomas Sterling's 65th Birthday. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2737909.2737911.
Texto completo da fonteShi, Tao, Hui Ma e Gang Chen. "Divide and conquer". In GECCO '20: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3377929.3389927.
Texto completo da fonteMcDonnell, Tyler, Sari Andoni, Elmira Bonab, Sheila Cheng, Jun-Hwan Choi, Jimmie Goode, Keith Moore, Gavin Sellers e Jacob Schrum. "Divide and conquer". In GECCO '18: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3205455.3205476.
Texto completo da fonteScholz, Ulrich, e Romain Rouvoy. "Divide and conquer". In Ninth international workshop. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1294948.1294958.
Texto completo da fonteDriff, Lydia Nahla, e Habiba Drias. "Divide and Conquer". In the International Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3230905.3230913.
Texto completo da fonteZhang, Zhiwei, Jeffrey Xu Yu, Lu Qin e Zechao Shang. "Divide & Conquer". In SIGMOD/PODS'15: International Conference on Management of Data. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2723372.2723740.
Texto completo da fonteFlechais, Ivan, Jens Riegelsberger e M. Angela Sasse. "Divide and conquer". In the 2005 workshop. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1146269.1146280.
Texto completo da fonteRelatórios de organizações sobre o assunto "Cuppen Divide and Conquer"
Coppersmith, Don, Lisa Fleischer, Bruce Hendrickson e Ali Pinar. A divide-and-conquer algorithm for identifying strongly connectedcomponents. Office of Scientific and Technical Information (OSTI), março de 2003. http://dx.doi.org/10.2172/889876.
Texto completo da fonteAinsworth, Paul, e Svetlana Kryukova. A Multimedia Interactive Environment Using Program Archetypes: Divide-and-Conquer. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 2006. http://dx.doi.org/10.21236/ada443259.
Texto completo da fonteGragg, William, e L. Reichel. A Divide and Conquer Method for Unitary and Orthogonal Eigenproblems. Fort Belvoir, VA: Defense Technical Information Center, fevereiro de 1989. http://dx.doi.org/10.21236/ada205433.
Texto completo da fonteDel Carpio, Lucia, Samuel Kapon e Sylvain Chassang. Using Divide-and-Conquer to Improve Tax Collection: Evidence from the Field. Cambridge, MA: National Bureau of Economic Research, julho de 2022. http://dx.doi.org/10.3386/w30218.
Texto completo da fonteJessup, E. A case against a divide and conquer approach to the nonsymmetric eigenvalue problem. Office of Scientific and Technical Information (OSTI), dezembro de 1991. http://dx.doi.org/10.2172/10108206.
Texto completo da fonteGuan, X., e E. C. Uberbacher. A multiple divide-and-conquer (MDC) algorithm for optimal alignments in linear space. Office of Scientific and Technical Information (OSTI), junho de 1994. http://dx.doi.org/10.2172/10168027.
Texto completo da fonteJessup, E. A case against a divide and conquer approach to the nonsymmetric eigenvalue problem. Office of Scientific and Technical Information (OSTI), dezembro de 1991. http://dx.doi.org/10.2172/5926172.
Texto completo da fonteBorges, Carlos F., e William B. Gragg. A Parallel Divide and Conquer Algorithm for the Generalized Real Symmetric Definite Tridiagonal Eigenproblem. Fort Belvoir, VA: Defense Technical Information Center, dezembro de 1992. http://dx.doi.org/10.21236/ada262297.
Texto completo da fonteTucker, Jon R., e Rudolph J. Magyar. The potential, limitations, and challenges of divide and conquer quantum electronic structure calculations on energetic materials. Office of Scientific and Technical Information (OSTI), fevereiro de 2012. http://dx.doi.org/10.2172/1038199.
Texto completo da fonte