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Relevant bibliographies by topics / Accelerating methods

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Academic literature on the topic 'Accelerating methods'

Author: Grafiati

Published: 3 June 2023

Last updated: 14 September 2024

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Journal articles on the topic "Accelerating methods"

1

Papadrakakis, M. "Accelerating Vector Iteration Methods." Journal of Applied Mechanics 53, no. 2 (1986): 291–97. http://dx.doi.org/10.1115/1.3171754.

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This paper describes a technique for accelerating the convergence properties of iterative methods for the solution of large sparse symmetric linear systems that arise from the application of finite element method. The technique is called partial preconditioning process (PPR) and can be combined with pure vector iteration methods, such as the conjugate gradient, the dynamic relaxation, and the Chebyshev semi-iterative methods. The proposed triangular splitting preconditioner combines Evans’ SSOR preconditioner with a drop-off tolerance criterion. The (PPR) is attractive in a FE framework becaus

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Zhou, Yu-Long, Fan Xia, Ai-Jun Xie, Hao-Ping Peng, Jian-Hua Wang, and Zhi-Wei Li. "A Review—Effect of Accelerating Methods on Gas Nitriding: Accelerating Mechanism, Nitriding Behavior, and Techno-Economic Analysis." Coatings 13, no. 11 (2023): 1846. http://dx.doi.org/10.3390/coatings13111846.

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Gas nitriding, as a surface modification technology to improve the wear resistance of workpiece surfaces, is widely used in wind turbine gears, pressure vessel gears, high-precision die casting abrasives, and other areas. However, the gas nitriding time is too long, reaching 40–60 h, which reduces the efficiency of nitriding and hinders the development of gas nitriding. Therefore, various accelerating methods are born accordingly. This review first introduces the basic principle, microstructure, and process parameters of conventional gas nitriding. Then, five common accelerating methods are su

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Galletti, Mario, Maria Pia Anania, Sahar Arjmand, et al. "Advanced Stabilization Methods of Plasma Devices for Plasma-Based Acceleration." Symmetry 14, no. 3 (2022): 450. http://dx.doi.org/10.3390/sym14030450.

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Towards the next generation of compact plasma-based accelerators, useful in several fields, such as basic research, medicine and industrial applications, a great effort is required to control the plasma creation, the necessity of producing a time-jitter free channel, and its stability namely uniformity and reproducibility. In this Letter, we describe an experimental campaign adopting a gas-filled discharge-capillary where the plasma and its generation are stabilized by triggering its ignition with an external laser pulse or an innovative technique based on the primary dark current (DC) in the

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Hustoft, Hanne Kolsrud, Leon Reubsaet, Tyge Greibrokk, Elsa Lundanes, and Helle Malerod. "Critical assessment of accelerating trypsination methods." Journal of Pharmaceutical and Biomedical Analysis 56, no. 5 (2011): 1069–78. http://dx.doi.org/10.1016/j.jpba.2011.08.013.

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Minakov, Artyom Dmitrievich, and Vladimir Anatolievich Sudakov. "Methods for accelerating controlled online experiments." Keldysh Institute Preprints, no. 36 (2023): 1–16. http://dx.doi.org/10.20948/prepr-2023-36.

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The paper discusses current methods of hypothesis testing on a large set of data on user actions on a banking site. Methods have been developed and investigated using a consistent approach and Bayesian statistics, and a recommendation for use has been formed. The application of the proposed methods made it possible to reduce the time of conducting controlled online experiments by 25-34%.

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Patra, Tarak K. "Data-Driven Methods for Accelerating Polymer Design." ACS Polymers Au 2, no. 1 (2021): 8–26. http://dx.doi.org/10.1021/acspolymersau.1c00035.

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Oh, Se-Chang, Young-Bok Joo, Oh-Young Kwon, and Kyung-Moo Huh. "GPU Accelerating Methods for Pease FFT Processing." Journal of Institute of Control, Robotics and Systems 20, no. 1 (2014): 37–41. http://dx.doi.org/10.5302/j.icros.2014.13.1960.

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Ulhaq, Aman, Emma McCrory, and Eleni Besi. "Surgical Methods for Accelerating Orthodontic Tooth Movement." Orthodontic Update 13, no. 4 (2020): 170–79. http://dx.doi.org/10.12968/ortu.2020.13.4.170.

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The ability to consistently reduce orthodontic treatment time without adverse outcomes would be an attractive prospect. Several surgical interventions have been described aimed at accelerating orthodontic tooth movement. The aim of this review is to identify and evaluate the current evidence available for surgically-assisted orthodontic tooth movement (OTM). The current evidence suggests that surgical procedures may increase the rate of tooth movement, however, this effect is short lived. Further reporting on total treatment time, and patient centred outcomes, would be beneficial in future stu

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Li, Yu, Tao Zhang, Shuyu Sun, and Xin Gao. "Accelerating flash calculation through deep learning methods." Journal of Computational Physics 394 (October 2019): 153–65. http://dx.doi.org/10.1016/j.jcp.2019.05.028.

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Kornfeld, Isaac. "Nonexistence of universally accelerating linear summability methods." Journal of Computational and Applied Mathematics 53, no. 3 (1994): 309–21. http://dx.doi.org/10.1016/0377-0427(94)90059-0.

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Dissertations / Theses on the topic "Accelerating methods"

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Kerdreux, Thomas. "Accelerating conditional gradient methods." Thesis, Université Paris sciences et lettres, 2020. http://www.theses.fr/2020UPSLE002.

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Les algorithmes de Frank-Wolfe sont des méthodes d’optimisation de problèmes sous contraintes. Elles décomposent un problème non-linéaire en une série de problèmes linéaires. Cela en fait des méthodes de choix pour l’optimisation en grande dimension et notamment explique leur utilisation dans de nombreux domaines appliqués. Ici nous proposons de nouveaux algorithmes de Frank-Wolfe qui convergent plus rapidement vers la solution du problème d’optimisation sous certaines hypothèses structurelles assez génériques. Nous montrons en particulier, que contrairement à d’autres types d’algorithmes, cet

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Dahlin, Johan. "Accelerating Monte Carlo methods for Bayesian inference in dynamical models." Doctoral thesis, Linköpings universitet, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-125992.

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Making decisions and predictions from noisy observations are two important and challenging problems in many areas of society. Some examples of applications are recommendation systems for online shopping and streaming services, connecting genes with certain diseases and modelling climate change. In this thesis, we make use of Bayesian statistics to construct probabilistic models given prior information and historical data, which can be used for decision support and predictions. The main obstacle with this approach is that it often results in mathematical problems lacking analytical solutions. T

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Lopes, Antonio Roldao. "Accelerating iterative methods for solving systems of linear equations using FPGAs." Thesis, Imperial College London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526401.

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Ghadimi, Euhanna. "Accelerating Convergence of Large-scale Optimization Algorithms." Doctoral thesis, KTH, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-162377.

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Several recent engineering applications in multi-agent systems, communication networks, and machine learning deal with decision problems that can be formulated as optimization problems. For many of these problems, new constraints limit the usefulness of traditional optimization algorithms. In some cases, the problem size is much larger than what can be conveniently dealt with using standard solvers. In other cases, the problems have to be solved in a distributed manner by several decision-makers with limited computational and communication resources. By exploiting problem structure, however, i

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Singh, Karanpreet. "Accelerating Structural Design and Optimization using Machine Learning." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/104114.

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Machine learning techniques promise to greatly accelerate structural design and optimization. In this thesis, deep learning and active learning techniques are applied to different non-convex structural optimization problems. Finite Element Analysis (FEA) based standard optimization methods for aircraft panels with bio-inspired curvilinear stiffeners are computationally expensive. The main reason for employing many of these standard optimization methods is the ease of their integration with FEA. However, each optimization requires multiple computationally expensive FEA evaluations, making their

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Bryan, Paul David. "Accelerating microarchitectural simulation via statistical sampling principles." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/47715.

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The design and evaluation of computer systems rely heavily upon simulation. Simulation is also a major bottleneck in the iterative design process. Applications that may be executed natively on physical systems in a matter of minutes may take weeks or months to simulate. As designs incorporate increasingly higher numbers of processor cores, it is expected the times required to simulate future systems will become an even greater issue. Simulation exhibits a tradeoff between speed and accuracy. By basing experimental procedures upon known statistical methods, the simulation of systems may be dra

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Parks, Paula L. "Moving at the speed of potential| A mixed-methods study of accelerating developmental students in a California community college." Thesis, Capella University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3611804.

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<p> Most developmental community college students are not completing the composition sequence successfully. This mixed-methods study examined acceleration as a way to help developmental community college students complete the composition sequence more quickly and more successfully. Acceleration is a curricular redesign that includes challenging readings and assignments and reduces the number of required classes in the developmental composition sequence. Developmental students taking an accelerated composition class at the California community college studied were as successful as developmental

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O'Brien, Gerard. "Comparison and evaluation of United Nations and ARC based test methods for the determination of self-accelerating decomposition temperatures." Thesis, London South Bank University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388169.

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Drzisga, Daniel [Verfasser], Barbara [Akademischer Betreuer] Wohlmuth, Matthias [Gutachter] Möller, Barbara [Gutachter] Wohlmuth, and Giancarlo [Gutachter] Sangalli. "Accelerating Isogeometric Analysis and Matrix-free Finite Element Methods Using the Surrogate Matrix Methodology / Daniel Drzisga ; Gutachter: Matthias Möller, Barbara Wohlmuth, Giancarlo Sangalli ; Betreuer: Barbara Wohlmuth." München : Universitätsbibliothek der TU München, 2020. http://d-nb.info/122693434X/34.

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Macedo, Alves de Lima Jean. "Développement et validation d'un nouveau critère de déformation progressive pour les REPs." Electronic Thesis or Diss., Ecully, Ecole centrale de Lyon, 2023. http://www.theses.fr/2023ECDL0011.

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Lors de la conception, la construction et l'exploitation d'un composant nucléaire, il est nécessaire d’assurer l’intégrité de celui-ci quelles que soient les conditions de fonctionnement, nominales ou accidentelles. Dans le cadre de la sûreté, la démonstration de la résistance des composants fondamentaux des circuits primaires et secondaires aux modes de ruine est une nécessité pour valider le dimensionnement de ces structures. Parmi les modes possibles de ruine figure le phénomène de déformation progressive. De manière générale, le dimensionnement en déformation progressive des composants de

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Books on the topic "Accelerating methods"

1

Tan, Yao-Hua. Accelerating global supply chains with IT-innovation: ITAIDE tools and methods. Springer, 2011.

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Slomski, J. F. Effectiveness of multigrid in accelerating convergence of multidimensional flows in chemical nonequilibrium. American Institute of Aeronautics and Astronautics, 1990.

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Proch, D. Transparencies from the Workshop on Thin Film Coating Methods for Superconducting Accelerating Cavities. Deutsches Elektronen-Synchrotron DESY, MHF-SL Group, 2000.

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Moyer, Brian. Aggregation issues in integrating and accelerating BEA's accounts: Improved methods for calculating GDP by industry. National Bureau of Economic Research, 2005.

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Maxwell, Wendy. Accelerating fluency: A holistic approach to the teaching of French through the integration of the gesture approach, drama and music. Muffin Rhythm Co., 2003.

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Yu, Wenhua. Advanced FDTD methods: Parallelization, acceleration, and engineering applications. Artech House, 2011.

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Nikitchenko, Maxim V. Inference of functional neural connectivity and convergence acceleration methods. [publisher not identified], 2013.

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8

Valcartier, Canada Defence Research Establishment. Acceleration-Invariant Approximation Method For Recursive Digital Filters. s.n, 1985.

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Demuren, A. O. Convergence acceleration of the proteus computer code with multigrid methods. Old Dominion University Research Foundation of Mechanical Engineering & Mechanics, College of Engineering & Technology, Old Dominion University, 1992.

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McGhee, D. S. The effect of acceleration versus displacement methods on steady-state boundary forces. George C. Marshall Space Flight Center, 1992.

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Book chapters on the topic "Accelerating methods"

1

Robert, Christian P., and George Casella. "Controlling and Accelerating Convergence." In Introducing Monte Carlo Methods with R. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1576-4_4.

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Liu, Jianwei, Wout Hofman, and Yao-Hua Tan. "Procedure Redesign Methods." In Accelerating Global Supply Chains with IT-Innovation. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15669-4_13.

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Teixeira, Cristina C., Edmund Khoo, and Mani Alikhani. "Different Methods of Accelerating Tooth Movement." In Clinical Guide to Accelerated Orthodontics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43401-8_2.

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Koirala, Kushal, Keya Joshi, Victor Adediwura, Jinan Wang, Hung Do, and Yinglong Miao. "Accelerating Molecular Dynamics Simulations for Drug Discovery." In Methods in Molecular Biology. Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3441-7_11.

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Zhang, Pei. "Analysis Methods for Beam Position Extraction from HOM." In Beam Diagnostics in Superconducting Accelerating Cavities. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00759-5_4.

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Benvenuti, C., Ph Bernard, D. Bloess, E. Chiaveri, C. Hauviller, and W. Weingarten. "Various Methods of Manufacturing Superconducting Accelerating Cavities." In A Cryogenic Engineering Conference Publication. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0373-2_114.

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Heifetz, Alexander. "Accelerating COVID-19 Drug Discovery with High-Performance Computing." In Methods in Molecular Biology. Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3449-3_19.

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Fasman, Kenneth H. "Managing Accelerating Data Growth in the Genome Database." In Theoretical and Computational Methods in Genome Research. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5903-0_11.

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Aguilera-Puga, Mariana d. C., Natalia L. Cancelarich, Mariela M. Marani, Cesar de la Fuente-Nunez, and Fabien Plisson. "Accelerating the Discovery and Design of Antimicrobial Peptides with Artificial Intelligence." In Methods in Molecular Biology. Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3441-7_18.

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Monza, Emanuele, Victor Gil, and Maria Fatima Lucas. "Computational Enzyme Design at Zymvol." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1826-4_13.

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AbstractDirected evolution is the most recognized methodology for enzyme engineering. The main drawback resides in its random nature and in the limited sequence exploration; both require screening of thousands (if not millions) of variants to achieve a target function. Computer-driven approaches can limit laboratorial screening to a few hundred candidates, enabling and accelerating the development of industrial enzymes. In this book chapter, the technology adopted at Zymvol is described. An overview of the current development and future directions in the company is also provided.

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Conference papers on the topic "Accelerating methods"

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Madhukar, Kumar, Bjorn Wachter, Daniel Kroening, Matt Lewis, and Mandayam Srivas. "Accelerating invariant generation." In 2015 Formal Methods in Computer-Aided Design (FMCAD). IEEE, 2015. http://dx.doi.org/10.1109/fmcad.2015.7542259.

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Shmueli, Yaniv, Gil Shabat, Amit Bermanis, and Amir Averbuch. "Accelerating Particle filter using multiscale methods." In 2012 IEEE 27th Convention of Electrical & Electronics Engineers in Israel (IEEEI 2012). IEEE, 2012. http://dx.doi.org/10.1109/eeei.2012.6377009.

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Kamvar, Sepandar D., Taher H. Haveliwala, Christopher D. Manning, and Gene H. Golub. "Extrapolation methods for accelerating PageRank computations." In the twelfth international conference. ACM Press, 2003. http://dx.doi.org/10.1145/775152.775190.

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Tse, Anson H. T., David B. Thomas, and Wayne Luk. "Accelerating Quadrature Methods for Option Valuation." In 2009 17th IEEE Symposium on Field Programmable Custom Computing Machines. IEEE, 2009. http://dx.doi.org/10.1109/fccm.2009.36.

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Anwar Atif, Touheed, Uchenna Chukwu, Jesse Berwald, and Raouf Dridi. "Accelerating NISQ variational methods using geometry." In Quantum Computing, Communication, and Simulation III, edited by Philip R. Hemmer and Alan L. Migdall. SPIE, 2023. http://dx.doi.org/10.1117/12.2655793.

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Weinstock, Jan Henrik, Rainer Leupers, and Gerd Ascheid. "Accelerating MPSoC Simulation Using Parallel SystemC and Processor Sleep Models." In RAPIDO '17: Methods and Tools. ACM, 2017. http://dx.doi.org/10.1145/3023973.3023975.

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Kassahun, Yohannes, Jose de Gea, Mark Edgington, Jan Hendrik Metzen, and Frank Kirchner. "Accelerating neuroevolutionary methods using a Kalman filter." In the 10th annual conference. ACM Press, 2008. http://dx.doi.org/10.1145/1389095.1389365.

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Gholoobi, Amin, and Stavros Stavrou. "Accelerating TOA/TDOA packet based localization methods." In 2014 IEEE Conference on Wireless Sensors (ICWiSe). IEEE, 2014. http://dx.doi.org/10.1109/icwise.2014.7042657.

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Metsch, Jan-Henrik, Jonathan Neuhauser, Jerome Jouffroy, Taous-Meriem Laleg-Kirati, and Johann Reger. "Accelerating Extremum Seeking Convergence by Richardson Extrapolation Methods." In 2022 IEEE 61st Conference on Decision and Control (CDC). IEEE, 2022. http://dx.doi.org/10.1109/cdc51059.2022.9992618.

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Lin, Hsien-I., and Chung-Sheng Cheng. "A study on accelerating convolutional neural networks." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2019 (ICCMSE-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5138068.

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Reports on the topic "Accelerating methods"

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Moyer, Brian, Marshall Reinsdorf, and Robert Yuskavage. Aggregation Issues in Integrating and Accelerating BEA's Accounts: Improved Methods for Calculating GDP by Industry. National Bureau of Economic Research, 2005. http://dx.doi.org/10.3386/w11073.

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Sands, Anna, Julia Turner, and Amrita Saha. Trade Policy for Sustainable and Inclusive Agriculture. Institute of Development Studies, 2023. http://dx.doi.org/10.19088/ids.2023.010.

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Trade policy provides a powerful set of levers for accelerating a transition to more inclusive and sustainable agricultural practices. Yet, trade in agriculture is often reliant on unsustainable methods of production, misaligned to tackling hunger, inadequate in support for decent farmer livelihoods, with negative climate and environmental impacts. Several countries are pioneering efforts to reform agricultural support schemes. This briefing highlights two key priorities in aligning trade policy with efforts to reform support for a transition to sustainable and inclusive food systems: core env

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Alexander, Francis, Tammie Borders, Angie Sheffield, and Marc Wonders. Workshop Report for Next-Gen AI for Proliferation Detection: Accelerating the Development and Use of Explainability Methods to Design AI Systems Suitable for Nonproliferation Mission Applications. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1768761.

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Nation, John A. Novel Methods of Acceleration. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada204929.

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Nation, John A. Novel Methods of Acceleration. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada264828.

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Ruggiero, A. Tracking of Acceleration with HNJ Method. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/939969.

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Ruggiero A. Tracking of Acceleration with HNJ Method. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/1061891.

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Boyd, J. Spectral methods and sum acceleration algorithms. Final report. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/52830.

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Watts, Benjamin, and Danielle Kennedy. Additive regulated concrete for thermally extreme conditions. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48510.

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This study details a multiprong effort to validate the Cold Regions Research and Engineering Laboratory’s solution for concrete construction and repair in cold weather, Additive Regulated Concrete for Thermally Extreme Conditions (ARCTEC). ARCTEC is the product of several years of research and consists of a testing and simulation workflow which generates scenario-sensitive guidance for use of accelerating admixtures in concrete. This report details efforts to validate ARCTEC using real-world, full-scale, field demonstrations. These demonstrations were used to collect data on the behavior of co

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Urbatsch, T. J. Iterative acceleration methods for Monte Carlo and deterministic criticality calculations. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/212566.

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