Добірка наукової літератури з теми "Battery design optimization framework"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Battery design optimization framework".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Battery design optimization framework"
Vora, Ashish P., Xing Jin, Vaidehi Hoshing, Gregory Shaver, Subbarao Varigonda, and Wallace E. Tyner. "Integrating battery degradation in a cost of ownership framework for hybrid electric vehicle design optimization." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 6 (October 21, 2018): 1507–23. http://dx.doi.org/10.1177/0954407018802663.
Повний текст джерелаHasan, Md Mahamudul, Boris Berseneff, Tim Meulenbroeks, Igor Cantero, Sajib Chakraborty, Thomas Geury, and Omar Hegazy. "A Multi-Objective Co-Design Optimization Framework for Grid-Connected Hybrid Battery Energy Storage Systems: Optimal Sizing and Selection of Technology." Energies 15, no. 15 (July 24, 2022): 5355. http://dx.doi.org/10.3390/en15155355.
Повний текст джерелаXu, Huanwei, Liangwen Liu, and Miao Zhang. "Adaptive surrogate model-based optimization framework applied to battery pack design." Materials & Design 195 (October 2020): 108938. http://dx.doi.org/10.1016/j.matdes.2020.108938.
Повний текст джерелаMachchhar, R. J., and A. Bertoni. "Supporting the Transition Towards Electromobility in the Construction and Mining Sector: Optimization Framework and Demonstration on an Electrical Hauler." Proceedings of the Design Society 2 (May 2022): 1649–58. http://dx.doi.org/10.1017/pds.2022.167.
Повний текст джерелаTuncel, Yigit, Sizhe An, Ganapati Bhat, Naga Raja, Hyung Gyu Lee, and Umit Ogras. "Voltage-Frequency Domain Optimization for Energy-Neutral Wearable Health Devices." Sensors 20, no. 18 (September 14, 2020): 5255. http://dx.doi.org/10.3390/s20185255.
Повний текст джерелаLiu, Changhong, and Lin Liu. "Optimizing Battery Design for Fast Charge through a Genetic Algorithm Based Multi-Objective Optimization Framework." ECS Transactions 77, no. 11 (July 7, 2017): 257–71. http://dx.doi.org/10.1149/07711.0257ecst.
Повний текст джерелаZhang, Le, Ziling Zeng, and Kun Gao. "A bi-level optimization framework for charging station design problem considering heterogeneous charging modes." Journal of Intelligent and Connected Vehicles 5, no. 1 (January 24, 2022): 8–16. http://dx.doi.org/10.1108/jicv-07-2021-0009.
Повний текст джерелаVora, Ashish P., Xing Jin, Vaidehi Hoshing, Xiaofan Guo, Gregory Shaver, Wallace Tyner, Eric Holloway, Subbarao Varigonda, and Joachim Kupe. "Simulation Framework for the Optimization of HEV Design Parameters: Incorporating Battery Degradation in a Lifecycle Economic Analysis." IFAC-PapersOnLine 48, no. 15 (2015): 195–202. http://dx.doi.org/10.1016/j.ifacol.2015.10.028.
Повний текст джерелаPierri, Erika, Valentina Cirillo, Thomas Vietor, and Marco Sorrentino. "Adopting a Conversion Design Approach to Maximize the Energy Density of Battery Packs in Electric Vehicles." Energies 14, no. 7 (March 31, 2021): 1939. http://dx.doi.org/10.3390/en14071939.
Повний текст джерелаTakano, Hirotaka, Ryosuke Hayashi, Hiroshi Asano, and Tadahiro Goda. "Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components." Energies 14, no. 21 (November 8, 2021): 7442. http://dx.doi.org/10.3390/en14217442.
Повний текст джерелаДисертації з теми "Battery design optimization framework"
Bakker, Craig Kent Reddick. "A differential geometry framework for multidisciplinary design optimization." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708688.
Повний текст джерелаLiu, Qiang. "EBF3GLWingOpt: A Framework for Multidisciplinary Design Optimization of Wings Using SpaRibs." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/49665.
Повний текст джерелаPh. D.
Zheng, Panni. "The Design and Optimization of a Lithium-ion Battery Direct Recycling Process." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/93212.
Повний текст джерелаMaster of Science
Nowadays, Lithium-ion batteries (LIBs) have dominated the power source market in a variety of applications. A LIB contains an anode, a cathode and electrolyte. The cathode material is the most valuable component in the LIB. Lithium cobalt oxide (LiCoO2) is one of the most common cathode materials for LIBs in consumer electronics. The recycling of LIBs is important because cobalt is an expensive element that is dependent on foreign sources for production. Lithium-ion batteries need to be recycled and disposed properly when they reach end of life (EOL) to avoid negative environmental impact. The direct recycling is a cost effective and energy conservative method which can be divided into two steps: retrieving the cathode materials from EOL LIBs and regenerating the cathode materials. This project focuses on recycling LiCoO2 by direct method. Two automation modules, tape peeling stage and unrolling stage, are designed for a disassembling line which is the automation line to collect the cathodes materials. The EOL cathode materials is lithium deficient (Li1-xCoO2). To regenerate the EOL cathode materials, lithium is added into structure of cathode materials which is called the re-lithiation process. The different sintering conditions (e.g., temperature, sintering atmosphere, the amount of lithium addition) are investigated for the re-lithiation process. The results show that the capacity of the recycled cathode materials increases with increasing temperature. The extra Li addition in iv Li1-xCoO2 leads to worse cycling performance. In addition, sintering atmosphere has little influence on small- scale sintering. Most of directly recycled cathode materials have better electrochemical (EC) performance than commercial LiCoO2, especially when cycling with 4.45V cutoff voltage.
Bowman, Kelly Eric. "Optimization Constrained CAD Framework with ISO-Performing Design Generator." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2599.pdf.
Повний текст джерелаXiong, Haoyi. "Near-optimal mobile crowdsensing : design framework and algorithms." Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0005/document.
Повний текст джерелаNowadays, there is an increasing demand to provide real-time environment information such as air quality, noise level, traffic condition, etc. to citizens in urban areas for various purposes. The proliferation of sensor-equipped smartphones and the mobility of people are making Mobile Crowdsensing (MCS) an effective way to sense and collect information at a low deployment cost. In MCS, instead of deploying static sensors in urban areas, people with mobile devices play the role of mobile sensors to sense the information of their surroundings and the communication network (3G, WiFi, etc.) is used to transfer data for MCS applications. Typically, an MCS application (or task) not only requires each participant's mobile device to possess the capability of receiving sensing tasks, performing sensing and returning sensed results to a central server, it also requires to recruit participants, assign sensing tasks to participants, and collect sensed results that well represents the characteristics of the target sensing region. In order to recruit sufficient participants, the organizer of the MCS task should consider energy consumption caused by MCS applications for each individual participant and the privacy issues, further the organizer should give each participant a certain amount of incentives as encouragement. Further, in order to collect sensed results well representing the target region, the organizer needs to ensure the sensing data quality of the sensed results, e.g., the accuracy and the spatial-temporal coverage of the sensed results. With the energy consumption, privacy, incentives, and sensing data quality in mind, in this thesis we have studied four optimization problems of mobile crowdsensing and conducted following four research works: • EEMC - In this work, the MCS task is splitted into a sequence of sensing cycles, we assume each participant is given an equal amount of incentive for joining in each sensing cycle; further, given the target region of the MCS task, the MCS task aims at collecting an expected number of sensed results from the target region in each sensing cycle.Thus, in order to minimize the total incentive payments and the total energy consumption of the MCS task while meeting the predefined data collection goal, we propose EEMC which intends to select a minimal number of anonymous participants to join in each sensing cycle of the MCS task while ensuring an minimum number of participants returning sensed results. • EMC3 - In this work, we follow the same sensing cycles and incentives assumptions/settings from EEMC; however, given a target region consisting of a set of subareas, the MCS task in this work aims at collecting sensed results covering each subarea of the target region in each sensing cycle (namely full coverage constraint).Thus, in order to minimize the total incentive payments and the total energy consumption of the MCS task under the full coverage constraint, we propose EMC3 which intends to select a minimal number of anonymous participaNts to join in each sensing cycle of the MCS task while ensuring at least one participant returning sensed results from each subarea. • CrowdRecruiter - In this work, we assume each participant is given an equal amount of incentive for joining in all sensing cycles of the MCS task; further, given a target region consisting of a set of subareas, the MCS task aims at collecting sensed results from a predefined percentage of subareas in each sensing cycle (namely probabilistic coverage constraint).Thus, in order to minimize the total incentive payments the probabilistic coverage constraint, we propose CrowdRecruiter which intends to recruit a minimal number of participants for the whole MCS task while ensuring the selected participants returning sensed results from at least a predefined percentage of subareas in each sensing cycle. • CrowdTasker - In this work, we assume each participant is given a varied amount of incentives according to [...]
Amadori, Kristian. "On Aircraft Conceptual Design : A Framework for Knowledge Based Engineering and Design Optimization." Licentiate thesis, Linköping : Department of Management and Engineering, Linköpings universitet, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11873.
Повний текст джерелаNezhadali, Vaheed. "Multi-objective optimization of Industrial robots." Thesis, Linköpings universitet, Maskinkonstruktion, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113283.
Повний текст джерелаSmaling, Rudolf M. "System architecture selection in a multi-disciplinary system design optimization framework." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/91788.
Повний текст джерелаMahdavi, Babak. "The design of a distributed, object-oriented, component-based framework in multidisciplinary design optimization /." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=79039.
Повний текст джерелаLee, Bin Hong Alex. "Empty container logistics optimization : an implementation framework and methods." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90715.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 68-70).
Empty container logistics is a huge cost component in an ocean carrier's operations. Managing this cost is important to ensure profitability of the business. This thesis proposes a 3-stage framework to handle empty container logistics with cost management as the objective. The first stage studies the forecasting of laden shipment demand, which provides the empty container supply requirement. Based on the supply needs, the problem of optimizing the fleet size was then addressed by using an inventory model to establish the optimal safety stock level. Simulations were used to understand the sensitivity of safety stock to desired service level. The final stage involves using mathematical programming to optimize repositioning costs incurred by carriers to ship empty containers to places which need them due to trade imbalance. At the same time, costs that are incurred due to leasing and storage are considered. A comparison between just-in-time and pre-emptive replenishment was performed and impact due to uncertainties is investigated. The framework is then implemented in a Decision Support System for an actual ocean carrier and is used to assist the empty container logistics team to take the best course of action in daily operations. The results from the optimizations show that there are opportunities for the carrier to reduce its fleet size and cut empty container logistics related costs.
by Bin Hong Alex Lee.
S.M. in Engineering and Management
Книги з теми "Battery design optimization framework"
Townsend, James C. A programming environment for distributed complex computing: An overview of the Framework for Interdisciplinary Design Optimization (FIDO) project : NASA Langley TOPS exhibit H120b. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.
Знайти повний текст джерелаBartoli, Gianni, Francesco Ricciardelli, Anna Saetta, and Vincenzo Sepe, eds. Performance of Wind Exposed Structures. Florence: Firenze University Press, 2006. http://dx.doi.org/10.36253/978-88-6453-156-4.
Повний текст джерелаC, Townsend J., and Langley Research Center, eds. Integration of a CAD system into an MDO framework. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.
Знайти повний текст джерелаA programming environment for distributed complex computing: An overview of the Framework for Interdisciplinary Design Optimization (FIDO) project : NASA Langley TOPS exhibit H120b. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.
Знайти повний текст джерелаHaran, Kiruba, Nateri Madavan, and Tim C. O'Connell, eds. Electrified Aircraft Propulsion. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108297684.
Повний текст джерелаЧастини книг з теми "Battery design optimization framework"
Roy, Anindita, and Santanu Bandyopadhyay. "Design and Optimization of Wind-Battery Systems." In Wind Power Based Isolated Energy Systems, 69–96. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00542-9_4.
Повний текст джерелаAmrit, Anand, Mohit Bahl, and Suhant Ranga. "Multi-objective Design Optimization of EV Battery Tray." In Lecture Notes in Mechanical Engineering, 821–29. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4606-6_75.
Повний текст джерелаXie, Qingshui, and Dong-Liang Peng. "Rational Material Design and Performance Optimization of Transition Metal Oxide-Based Lithium Ion Battery Anodes." In Advanced Battery Materials, 159–208. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119407713.ch3.
Повний текст джерелаDorne, Raphaël, and Christos Voudouris. "HSF: The iOpt’s Framework to Easily Design Metaheuristic Methods." In Applied Optimization, 237–56. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-4137-7_11.
Повний текст джерелаGero, John S., and Udo Kannengiesser. "A Framework for Situated Design Optimization." In Innovations in Design & Decision Support Systems in Architecture and Urban Planning, 309–24. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/978-1-4020-5060-2_20.
Повний текст джерелаGarima Singh and N. C. Praveen. "Design Exploration Using Unique Multidisciplinary Design Optimization Framework." In Lecture Notes in Mechanical Engineering, 161–72. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5432-2_14.
Повний текст джерелаRoy, Anindita, and Santanu Bandyopadhyay. "Design and Optimization of Wind-PV-Battery Hybrid System." In Wind Power Based Isolated Energy Systems, 167–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00542-9_8.
Повний текст джерелаShi, Dongcai, Jianwei Yin, Wenyu Zhang, Jinxiang Dong, and Dandan Xiong. "A Distributed Collaborative Design Framework for Multidisciplinary Design Optimization." In Lecture Notes in Computer Science, 294–303. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11686699_30.
Повний текст джерелаSane, Aamod, Ashish Singhai, and Roy H. Campbell. "Framework design for end-to-end optimization." In ECOOP’98 — Object-Oriented Programming, 135–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0054090.
Повний текст джерелаBurnak, Baris, Nikolaos A. Diangelakis, and Efstratios N. Pistikopoulos. "PAROC: PARametric Optimization and Control Framework." In Integrated Process Design and Operational Optimization via Multiparametric Programming, 47–73. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-02089-6_3.
Повний текст джерелаТези доповідей конференцій з теми "Battery design optimization framework"
Yaji, Kentaro, Shintaro Yamasaki, Shohji Tsushima, and Kikuo Fujita. "A Framework of Multi-Fidelity Topology Design and its Application to Optimum Design of Flow Fields in Battery Systems." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97675.
Повний текст джерелаChoi, Yonghwan, Jeong-Hun Seo, and Hae Kyu Lim. "Probabilistic design optimization of battery pack in considering the effect of external pressure with uncertainty." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2020-adm-065.
Повний текст джерелаLaird, Cary, Donald Docimo, Christopher T. Aksland, and Andrew G. Alleyne. "Graph-Based Design and Control Optimization of a Hybrid Electrical Energy Storage System." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3233.
Повний текст джерелаCui, Tonghui, Zhuoyuan Zheng, and Pingfeng Wang. "Surrogate Model Assisted Lithium-Ion Battery Co-Design for Fast Charging and Cycle Life Performances." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22433.
Повний текст джерелаLiu, Yuanzhi, Payam Ghassemi, Souma Chowdhury, and Jie Zhang. "Surrogate Based Multi-Objective Optimization of J-Type Battery Thermal Management System." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85620.
Повний текст джерелаChen, Li, Huachao Dong, and Zuomin Dong. "Integrated System Design and Control Optimization of Hybrid Electric Propulsion System Using a Bi-Level, Nested Approach." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97456.
Повний текст джерелаLee, Ungki, Sunghyun Jeon, and Ikjin Lee. "Shared Autonomous Vehicle System Design for Battery Electric Vehicle (BEV) and Fuel Cell Electric Vehicle (FCEV)." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-67734.
Повний текст джерелаLuciani, Sara, Stefano Feraco, Angelo Bonfitto, Andrea Tonoli, Nicola Amati, and Maurizio Quaggiotto. "A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-68469.
Повний текст джерелаKang, Namwoo, Fred M. Feinberg, and Panos Y. Papalambros. "Autonomous Electric Vehicle Sharing System Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46491.
Повний текст джерелаMalikopoulos, Andreas A., and David E. Smith. "An Optimization Model for Plug-In Hybrid Electric Vehicles." In ASME 2011 Internal Combustion Engine Division Fall Technical Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/icef2011-60028.
Повний текст джерелаЗвіти організацій з теми "Battery design optimization framework"
Jacobson, Sheldon H. A Heuristic Design Information Sharing Framework for Hard Discrete Optimization Problems. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada467897.
Повний текст джерелаAllen, Luke, Joon Lim, Robert Haehnel, and Ian Detwiller. Rotor blade design framework for airfoil shape optimization with performance considerations. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41037.
Повний текст джерелаAdams, Brian M., Mohamed Salah Ebeida, Michael S. Eldred, John Davis Jakeman, Laura Painton Swiler, John Adam Stephens, Dena M. Vigil, et al. Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis :. Office of Scientific and Technical Information (OSTI), May 2014. http://dx.doi.org/10.2172/1177077.
Повний текст джерелаEldred, Michael Scott, Dena M. Vigil, Keith R. Dalbey, William J. Bohnhoff, Brian M. Adams, Laura Painton Swiler, Sophia Lefantzi, Patricia Diane Hough, and John P. Eddy. DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Office of Scientific and Technical Information (OSTI), December 2011. http://dx.doi.org/10.2172/1031910.
Повний текст джерелаELDRED, MICHAEL S., ANTHONY A. GIUNTA, BART G. VAN BLOEMEN WAANDERS, STEVEN F. WOJTKIEWICZ, JR, WILLIAM E. HART, and MARIO ALLEVA. DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0. Office of Scientific and Technical Information (OSTI), April 2002. http://dx.doi.org/10.2172/800774.
Повний текст джерелаGriffin, Joshua D., Michael Scott Eldred, Monica L. Martinez-Canales, Jean-Paul Watson, Tamara Gibson Kolda, Brian M. Adams, Laura Painton Swiler, et al. DAKOTA, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 reference manual. Office of Scientific and Technical Information (OSTI), October 2006. http://dx.doi.org/10.2172/895073.
Повний текст джерелаGriffin, Joshua D., Michael Scott Eldred, Monica L. Martinez-Canales, Jean-Paul Watson, Tamara Gibson Kolda, Anthony Andrew Giunta, Brian M. Adams, et al. DAKOTA, a multilevel parellel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 uers's manual. Office of Scientific and Technical Information (OSTI), October 2006. http://dx.doi.org/10.2172/895703.
Повний текст джерелаGriffin, Joshua D., Michael Scott Eldred, Monica L. Martinez-Canales, Jean-Paul Watson, Tamara Gibson Kolda, Anthony Andrew Giunta, Brian M. Adams, et al. Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 developers manual. Office of Scientific and Technical Information (OSTI), October 2006. http://dx.doi.org/10.2172/896280.
Повний текст джерелаEldred, Michael Scott, Keith R. Dalbey, William J. Bohnhoff, Brian M. Adams, Laura Painton Swiler, Patricia Diane Hough, David M. Gay, John P. Eddy, and Karen H. Haskell. DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, developers manual. Office of Scientific and Technical Information (OSTI), May 2010. http://dx.doi.org/10.2172/991840.
Повний текст джерелаEldred, Michael Scott, Keith R. Dalbey, William J. Bohnhoff, Brian M. Adams, Laura Painton Swiler, Patricia Diane Hough, David M. Gay, John P. Eddy, and Karen H. Haskell. DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. Office of Scientific and Technical Information (OSTI), May 2010. http://dx.doi.org/10.2172/991842.
Повний текст джерела