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Relevant bibliographies by topics / Computer intensive methods

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Academic literature on the topic 'Computer intensive methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Computer intensive methods"

1

Yakowitz, S. "Computer intensive statistical methods." Eos, Transactions American Geophysical Union 67, no. 20 (1986): 476. http://dx.doi.org/10.1029/eo067i020p00476-04.

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Ghosh, Subir. "Computer Intensive Methods in Statistics." Technometrics 62, no. 3 (2020): 415. http://dx.doi.org/10.1080/00401706.2020.1783946.

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Treble, John, and Eric W. Noreen. "Computer Intensive Methods for Hypothesis Testing:." Economic Journal 100, no. 401 (1990): 657. http://dx.doi.org/10.2307/2234172.

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Buckland, S. T., and E. W. Noreen. "Computer-Intensive Methods for Testing Hypotheses." Biometrics 46, no. 2 (1990): 540. http://dx.doi.org/10.2307/2531461.

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Ogle, Kiona. "A Collection of Computer-Intensive Methods." BioScience 57, no. 10 (2007): 886–87. http://dx.doi.org/10.1641/b571013.

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Hollas, E. A., and Eric W. Noreen. "Computer Intensive Methods for Testing Hypotheses." Statistician 39, no. 1 (1990): 89. http://dx.doi.org/10.2307/2348203.

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Politis, D. N. "Computer-intensive methods in statistical analysis." IEEE Signal Processing Magazine 15, no. 1 (1998): 39–55. http://dx.doi.org/10.1109/79.647042.

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Efron, Bradley. "Computer-Intensive Methods in Statistical Regression." SIAM Review 30, no. 3 (1988): 421–49. http://dx.doi.org/10.1137/1030093.

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Stanislaw, Harold. "Computer-Intensive Methods in Traffic Safety Research." International Journal of Occupational Safety and Ergonomics 8, no. 3 (2002): 353–63. http://dx.doi.org/10.1080/10803548.2002.11076535.

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Ziegel, Eric R., and H. Rieder. "Robust Statistics, Data Analysis, and Computer Intensive Methods." Technometrics 39, no. 2 (1997): 238. http://dx.doi.org/10.2307/1270930.

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Dissertations / Theses on the topic "Computer intensive methods"

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Dias, José Manuel Gonçalves. "Finite mixture models : review, applications, and computer-intensive methods /." Groningen, the Netherlands : Research School Systems, Organisation and Management, University of Groningen, 2004. http://bibpurl.oclc.org/web/30814.

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Karlsson, Faronius Håkan. "On the Implementation of Computer Intensive Methods in Linear Normal Models." Thesis, Uppsala universitet, Tillämpad matematik och statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447013.

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Meintjes, M. M. (Maria Magdalena). "Evaluating the properties of sensory tests using computer intensive and biplot methodologies." Thesis, Stellenbosch : Stellenbosch University, 2007. http://hdl.handle.net/10019.1/20881.

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Assignment (MComm)--University of Stellenbosch, 2007.<br>ENGLISH ABSTRACT: This study is the result of part-time work done at a product development centre. The organisation extensively makes use of trained panels in sensory trials designed to asses the quality of its product. Although standard statistical procedures are used for analysing the results arising from these trials, circumstances necessitate deviations from the prescribed protocols. Therefore the validity of conclusions drawn as a result of these testing procedures might be questionable. This assignment deals with these questions.

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Archer, Elize. "Using simulation for achieving competency in the practical procedures of a Critical care nursing programme." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/2028.

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Thesis (MPhil (Curriculum Studies))--Stellenbosch University, 2008.<br>Background to the study: The Critical Care nursing programme at the Faculty of Health Sciences (Stellenbosch University) is a one-year programme. The practical component consists of practical procedures and case presentations. Students have limited time available in the clinical areas to reach competency in the practical skills. Students tend to use the majority of the clinical teaching time available to reach competency in these practical procedures, rather than discussing the patient and learning the skills to integ

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Huije, Shen, and Tingwei Huang. "Spark for HPC: a comparison with MPI on compute-intensive applications using Monte Carlo method." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392311.

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With the emergence of various big data platforms in recent years, Apache Spark - a distributed large-scale computing platform, is perceived as a potential substitute for Message Passing Interface (MPI) in High Performance Computing (HPC). Due to the limitations in fault-tolerance, dynamic resource handling and ease of use, MPI, as a dominant method to achieve parallel computing in HPC, is often associated with higher development time and costs in enterprises such as Scania IT. This thesis project aims to examine Apache Spark as an alternative to MPI on HPC clusters and compare their performanc

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Rossouw, Cobus. "The probability of occurrence and the intensity of tropical cyclones along the Southern African East Coast /." Thesis, Link to the online version, 1999. http://hdl.handle.net/10019.1/3633.

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Donfack, Simplice. "Methods and algorithms for solving linear systems of equations on massively parallel computers." Thesis, Paris 11, 2012. http://www.theses.fr/2012PA112042.

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Les processeurs multi-cœurs sont considérés de nos jours comme l'avenir des calculateurs et auront un impact important dans le calcul scientifique. Cette thèse présente une nouvelle approche de résolution des grands systèmes linéaires creux et denses, qui soit adaptée à l'exécution sur les futurs machines pétaflopiques et en particulier celles ayant un nombre important de cœurs. Compte tenu du coût croissant des communications comparé au temps dont les processeurs mettent pour effectuer les opérations arithmétiques, notre approche adopte le principe de minimisation des communications au prix d

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Pluma, Reyes Jorge A. "Fracture Control Modeling With The Finite Element Method." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2096.

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This thesis investigates the feasibility and usability of the finite element method approach in the design of crack arresting devices. Current design and manufacturing practices are improving structures' susceptibility to fracture, in particular brittle fracture; however, cracks in structures are still observed within their lifespans due to severe unexpected service conditions, poor designs, or faulty manufacturing. Crack arrester systems can be added during service to prolong the longevity of structures with sub-critical or critical flaws. Fracture properties of different specific structures

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Diagne, Fama. "Preuve de propriétés dynamiques en B." Phd thesis, Institut National des Télécommunications, 2013. http://tel.archives-ouvertes.fr/tel-00939071.

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Les propriétés que l'on souhaite exprimer sur les applications système d'information ne peuvent se restreindre aux propriétés statiques, dites propriétés d'invariance, qui portent sur des états du système pris au même moment. En effet, certaines propriétés, dites propriétés dynamiques, peuvent faire référence à l'état passé ou futur du système. Les travaux existants sur la vérification de telles propriétés utilisent généralement le model checking dont l'efficacité pour le domaine des systèmes d'information est plutôt réduite à cause de l'explosion combinatoire de l'espace des états. Aussi, les

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Tran, Tuan Tu. "Comparaisons de séquences biologiques sur architecture massivement multi-cœurs." Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2012. http://tel.archives-ouvertes.fr/tel-00832663.

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Rechercher les similarités entre séquences est une opération fondamentale en bioinformatique, que cela soit pour étudier des questions biologiques ou bien pour traiter les données issues de séquenceurs haut-débit. Il y a un vrai besoin d'algorithmes capables de traiter des millions de séquences rapidement. Pour trouver des similarités approchées, on peut tout d'abord considérer de petits mots exacts présents dans les deux séquences, les graines, puis essayer d'étendre les similarités aux voisinages de ces graines. Cette thèse se focalise sur la deuxième étape des heuristiques à base de graines

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Books on the topic "Computer intensive methods"

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Härdle, Wolfgang, and Léopold Simar, eds. Computer Intensive Methods in Statistics. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-642-52468-4.

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Noreen, Eric W. Computer-intensive methods for testing hypotheses: An introduction. Wiley, 1989.

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Kárný, Miroslav, and Kevin Warwick, eds. Computer Intensive Methods in Control and Signal Processing. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1996-5.

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Rieder, Helmut, ed. Robust Statistics, Data Analysis, and Computer Intensive Methods. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-2380-1.

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Computer intensive statistical methods: Validation model selection and bootstrap. Chapman & Hall, 1994.

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Kárný, Miroslav. Computer Intensive Methods in Control and Signal Processing: The Curse of Dimensionality. Birkhäuser Boston, 1997.

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Belarus) International Conference "Computer Data Analysis and Modeling" (6th 2001 Minsk. Computer data analysis and modeling: Robustness and computer intensive methods : proceedings of the sixth international conference, September 10-14, 2001, Minsk. Belararusian State University, 2001.

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8

International Workshop on Computationally Intensive Methods in Simulation and Optimization (1990 International Institute for Applied Systems Analysis). Simulation and optimization: Proceedings of the International Workshop on Computationally Intensive Methods in Simulation and Optimization, held at the International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria, August 23-25,1990. Springer-Verlag, 1992.

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Hjorth, J. S. Urban. Computer Intensive Statistical Methods. Routledge, 2017. http://dx.doi.org/10.1201/9781315140056.

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Härdle, Wolfgang, and Léopold Simar. Computer Intensive Methods in Statistics. Physica, 2014.

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Book chapters on the topic "Computer intensive methods"

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Davison, A. C., and D. V. Hinkley. "Computer-Intensive Statistical Methods." In Computational Statistics. Physica-Verlag HD, 1992. http://dx.doi.org/10.1007/978-3-642-48678-4_6.

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Sanchez, José A., and Jordi Ocaña. "Computer Intensive Methods for Mixed-effects Models." In Compstat. Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-642-57489-4_36.

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Manly, Bryan F. J. "Monte Carlo and other computer-intensive methods." In Randomization and Monte Carlo Methods in Biology. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2995-2_2.

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Ludwig, Donald. "Computer-Intensive Methods for Fisheries Stock Assessment." In Lecture Notes in Biomathematics. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-93365-3_10.

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Stephens, D. A., and A. F. M. Smith. "Bayesian Edge-Detection in Images via Changepoint Methods." In Computer Intensive Methods in Statistics. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-642-52468-4_1.

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Gruet, Marie-Anne, Sylvie Huet, and Emmanuel Jolivet. "Practical Use of Bootstrap in Regression." In Computer Intensive Methods in Statistics. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-642-52468-4_10.

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Besse, Ph, and A. de Falguerolles. "Application of Resampling Methods to the Choice of Dimension in Principal Component Analysis." In Computer Intensive Methods in Statistics. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-642-52468-4_11.

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Kleibergen, Frank, and Herman K. van Dijk. "Efficient Computer Generation of Matric-Variate t Drawings with an Application to Bayesian Estimation of Simple Market Models." In Computer Intensive Methods in Statistics. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-642-52468-4_2.

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Bauwens, L., and A. Rasquero. "Approximate HPD Regions for Testing Residual Autocorrelation Using Augmented Regressions." In Computer Intensive Methods in Statistics. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-642-52468-4_3.

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Wauters, Dirk, and Lea Vermeire. "Intensive Numerical and Symbolic Computing in Parametric Test Theory." In Computer Intensive Methods in Statistics. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-642-52468-4_4.

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Conference papers on the topic "Computer intensive methods"

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Iskander, D. Robert, Weaam Alkhaldi, and Abdelhak M. Zoubir. "On the computer intensive methods in model selection." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518396.

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Gomes, Dora Prata, and Maria Manuela Neves. "Computer intensive methods for improving the extremal index estimation." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4912751.

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Hachaj, Tomasz. "Artificial Intelligence Methods for Understanding Dynamic Computer Tomography Perfusion Maps." In 2010 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS). IEEE, 2010. http://dx.doi.org/10.1109/cisis.2010.104.

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Annunziata, Leopoldo, Marco Menapace, and Armando Tacchella. "Computer Intensive Vs. Heuristic Methods In Automated Design Of Elevator Systems." In 31st Conference on Modelling and Simulation. ECMS, 2017. http://dx.doi.org/10.7148/2017-0543.

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Ramanath, Vinay, and Gene E. Wiggs. "DACE Based Probabilistic Optimization of Mechanical Components." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-91024.

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Application of DACE (Design and Analysis of Computer Experiments) methods for probabilistic design space exploration and optimization to the design of a mechanical component is demonstrated. The key part of the paper is focused on the problem formulation and process flow for performing a probabilistic optimization. The authors have shown that for computationally intensive problems, probabilistic optimization can be carried out efficiently within a DACE framework. For problems that are not costly to compute, direct probabilistic optimization can be carried out by the efficient integration of pr

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Choi, Hae-Jin, and Janet K. Allen. "Empirical Models for Non-Deterministic Simulation-Based Robust Design." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35606.

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We propose a method for metamodeling non-deterministic computer intensive simulations for use in robust design. Generalized linear models for mean responses and heteroscadastic response variances are iteratively estimated in an integrated manner. Estimators that may be used for predicting the mean and variance models are introduced and metamodels of variance are developed. The usefulness of this metamodeling approach in efficient uncertainty analyses of non-deterministic, computationally-intensive simulation models for robust design methods is illustrated with the example of the design of a li

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Chan, Godine Kok Yan, Paul D. Sclavounos, Jason Jonkman, and Gregory Hayman. "Computation of Nonlinear Hydrodynamic Loads on Floating Wind Turbines Using Fluid-Impulse Theory." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41053.

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A hydrodynamics computer module was developed to evaluate the linear and nonlinear loads on floating wind turbines using a new fluid-impulse formulation for coupling with the FAST program. The new formulation allows linear and nonlinear loads on floating bodies to be computed in the time domain. It also avoids the computationally intensive evaluation of temporal and spatial gradients of the velocity potential in the Bernoulli equation and the discretization of the nonlinear free surface. The new hydrodynamics module computes linear and nonlinear loads — including hydrostatic, Froude-Krylov, ra

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Huang, Wenzhen, T. Phoomboplab, and Dariusz Ceglarek. "Explicit Yield Model (EYM) for Tolerance Synthesis of Large Scale Complex Assemblies." In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21074.

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Tolerance synthesis for complex assemblies is formulated as a probabilistic optimization problem. A main challenge in statistical tolerance synthesis for complex assembly system design is the computation intensity in estimating the conformity probability of Key Product Characteristics (KPCs) or yield of assembled products. In assemblies with multiple KPCs, the yield can only be obtained numerically through simulation techniques such as Monte Carlo (MC) algorithm. The existing tolerance synthesis methods require a large number of yield assessments in optimization. A new approach is developed fo

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Zhao, Xiang, Jun Wang, and Sijun Zhang. "Parallel CFD-DEM for Fluid-Particle Systems." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56276.

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This paper presents numerical methods and parallel algorithms for modeling the fluid-particle flow in gas fluidization of multi-sized particles. This work involves combined Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) to describe continuum flow of fluids and discrete flow of solid particles, respectively. Such simulations are extremely computationally intensive. To meet the challenge and produce high-performance, state-of-the-art computational tools capable of simulating the industrial fluid-particle systems, the parallel computing techniques are used with special empha

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Langerak, Thomas R., and Joris S. M. Vergeest. "A Dual Environment for 3D Modeling With User-Defined Free Form Features." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34796.

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Modeling with free form features has become the standard in Computer-Aided Design (CAD). With the increasing complexity of free form CAD models, features offer a high-level approach to modeling shapes. However, in most commercial modeling packages, only a static set of free form features is available. Researchers have tried to solve this problem by coming up with methods for user-driven free form feature definition, but failed to connect their methods to a means to instantiate these user-driven free form features on a target surface. Reversely, researchers have proposed tools for modeling with

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Reports on the topic "Computer intensive methods"

1

Gomes, Carla. Compute-Intensive Methods and Hybrid Approaches for Combinatorial Problems. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada409686.

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