المؤلفون: Mohammadsadegh Mohagheghi

المصدر: Computer and Knowledge Engineering, Vol 3, Iss 2, Pp 31-36 (2020)

مصطلحات موضوعية: probabilistic model checking, iterative numerical methods, bounded reachability probabilities, markov decision processes, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: https://cke.um.ac.ir/article_39288_4442b881913888950e31de955e8e59b3.pdf; https://doaj.org/toc/2538-5453; https://doaj.org/toc/2717-4123

URL الوصول: https://doaj.org/article/7c0842412a99484497410756330d3d1f

المؤلفون: Adrian-Mihail Stoica, Serena Cristiana Stoicu

المصدر: Entropy; Volume 24; Issue 12; Pages: 1734

مصطلحات موضوعية: multi-agent systems, H ∞ type control, data packet dropout, Markovian models, coupled algebraic Riccati equations, iterative numerical methods

وصف الملف: application/pdf

Relation: Information Theory, Probability and Statistics; https://dx.doi.org/10.3390/e24121734

الاتاحة: https://doi.org/10.3390/e24121734

المؤلفون: María Isabel Berenguer, Manuel Ruiz Galán

المصدر: Mathematics; Volume 10; Issue 7; Pages: 1012

مصطلحات موضوعية: iterative numerical methods, Schauder bases, Fredholm integral equation

وصف الملف: application/pdf

Relation: Computational and Applied Mathematics; https://dx.doi.org/10.3390/math10071012

الاتاحة: https://doi.org/10.3390/math10071012

المؤلفون: Werner, Steffen W. R.

مصطلحات موضوعية: Algebraic Riccati Equation, Large-Scale Sparse Matrices, Low-Rank Approximation, Iterative Numerical Methods, Numerical Linear Algebra, MATLAB, MORLAB, M-M.E.S.S

Relation: https://doi.org/10.5281/zenodo.3332716; https://doi.org/10.5281/zenodo.4719688; https://doi.org/10.1007/s11075-022-01331-w; https://zenodo.org/communities/nla; https://doi.org/10.5281/zenodo.5155992; https://doi.org/10.5281/zenodo.6308400; oai:zenodo.org:6308400

الاتاحة: https://doi.org/10.5281/zenodo.6308400

المؤلفون: Prescott, Alexander B.

المساهمون: Pelletier, Jon D., Baker, Victor R., McGuire, Luke A., Yin, Jianjun

مصطلحات موضوعية: Bayesian, Climate change, Diffusive wave approximation, Iterative numerical methods, Markov Chain Monte Carlo, Suspended sediment

Relation: Prescott, Alexander B. (2024). Novel Numerical Methods and Future Projections in Debris-Flow Hazard Assessments, Overland Flow Routing, and Global Suspended Sediment Fluxes (Doctoral dissertation, University of Arizona, Tucson, USA).; http://hdl.handle.net/10150/672678

الاتاحة: http://hdl.handle.net/10150/672678

المؤلفون: Werner, Steffen W. R.

مصطلحات موضوعية: Algebraic Riccati Equation, Large-Scale Sparse Matrices, Low-Rank Approximation, Iterative Numerical Methods, Numerical Linear Algebra, MATLAB, MORLAB, M-M.E.S.S

Relation: https://doi.org/10.5281/zenodo.3332716; https://doi.org/10.5281/zenodo.4719688; https://arxiv.org/abs/2111.06516; https://zenodo.org/communities/nla; https://doi.org/10.5281/zenodo.5155992; https://doi.org/10.5281/zenodo.5155993; oai:zenodo.org:5155993

الاتاحة: https://doi.org/10.5281/zenodo.5155993

المؤلفون: Freitas, Daniella Faria

المساهمون: Figueiredo, Rafael Alves, http://lattes.cnpq.br/1559288892271359, Rogenski, Josuel Kruppa, http://lattes.cnpq.br/7613670538812221, Sousa, Priscila Ferreira Barbosa de, http://lattes.cnpq.br/5099495604163302

مصطلحات موضوعية: Equações diferenciais parciais, Partial differential equations, Problemas estacionários, Steady-state problems, Métodos de diferenças finitas, Finite difference methods, Métodos numéricos iterativos, Iterative numerical methods, CNPQ::CIENCIAS EXATAS E DA TERRA::MATEMATICA::MATEMATICA APLICADA, CNPQ::ENGENHARIAS::ENGENHARIA MECANICA::FENOMENOS DE TRANSPORTE

وصف الملف: application/pdf

Relation: FREITAS, Daniella Faria. Estudo e implementação de métodos numéricos para resolução de problemas estacionários. 2021. 80 f. Trabalho de Conclusão de Curso (Graduação em Engenharia Mecatrônica) – Universidade Federal de Uberlândia, Uberlândia, 2021.; https://repositorio.ufu.br/handle/123456789/33395

الاتاحة: https://repositorio.ufu.br/handle/123456789/33395

المؤلفون: Montoya O.D., Garrido Arévalo, Víctor Manuel, Gil-González, Walter, Grisales-Noreña L.F.

المصدر: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074505358&doi=10.1109%2fTCSII.2019.2891640&partnerID=40&md5=02a5111e3af34b181c5cf20a2a9af85b.

مصطلحات موضوعية: Direct-current power grids, Iterative numerical methods, Power flow analysis, Successive approximations, Taylor's series expansion, Electric power transmission networks, Linearization, MATLAB, Newton-Raphson method, Nonlinear equations, Numerical methods, Direct current power, Iterative numerical method, Electric load flow

وصف الملف: Recurso electrónico; application/pdf

Relation: IEEE Transactions on Circuits and Systems II: Express Briefs; Vol. 66, Núm. 11; pp. 1865-1869; https://hdl.handle.net/20.500.12585/8917; Universidad Tecnológica de Bolívar; Repositorio UTB; 56919564100; 57208126635; 57191493648; 55791991200

الاتاحة: https://hdl.handle.net/20.500.12585/8917
https://doi.org/10.1109/TCSII.2019.2891640

المؤلفون: V. M. Garrido, Oscar Danilo Montoya, Walter Gil-González, Luis Fernando Grisales-Noreña

مصطلحات موضوعية: MATLAB, Direct-current power grids, Iterative method, Computer science, 020209 energy, MathematicsofComputing_NUMERICALANALYSIS, Linearization, Electric load flow, 02 engineering and technology, Fixed point, Newton-Raphson method, symbols.namesake, Electric power transmission networks, Successive approximations, 0202 electrical engineering, electronic engineering, information engineering, Taylor series, Applied mathematics, Power-flow study, Electrical and Electronic Engineering, Operating point, Iterative numerical methods, Numerical analysis, Iterative numerical method, 020208 electrical & electronic engineering, Power flow analysis, Taylor's series expansion, Decoupling (cosmology), Direct current power, Nonlinear equations, Nonlinear system, symbols, Numerical methods

وصف الملف: Recurso electrónico; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8030d7c7eb07c26c924f081f8c2a3178
https://hdl.handle.net/20.500.12585/8917

المؤلفون: Abid Rafique, Nachiket Kapre, George A. Constantinides

المساهمون: School of Computer Engineering

المصدر: IEEE Transactions on Parallel and Distributed Systems. 26:24-34

مصطلحات موضوعية: Field programmable gate arrays (FPGAs), Speedup, Iterative numerical methods, Graphics processing units (GPUs), Computer science, Computation, Parallel algorithm, Constrained optimization, Memory bandwidth, Parallel computing, Solver, Reconfigurable computing, Instruction set, Computational Theory and Mathematics, Hardware and Architecture, Signal Processing, Spare matrix-vector multiply, Matrix powers kernel, Sparse matrix

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4429269bd9ce3d0ac3a5d8e955f87ed
https://doi.org/10.1109/tpds.2014.6

المؤلفون: Parakkal Unni, Midhun, Chandra, M. Girish, Anil Kumar, A.

المصدر: Parakkal Unni , M , Chandra , M G & Anil Kumar , A 2017 , Memory reduction for numerical solution of differential equations using compressive sensing . in 2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA 2017) : 10 -12 March 2017, Penang, Malaysia . IEEE , New York , pp. 79-84 . https://doi.org/10.1109/CSPA.2017.8064928

مصطلحات موضوعية: compressive sensing, differential equations, iterative numerical methods, sketching

Relation: https://research.manchester.ac.uk/en/publications/9a73139d-921b-4fef-99fa-78960628a9af; urn:ISBN:9781509011858

الاتاحة: https://research.manchester.ac.uk/en/publications/9a73139d-921b-4fef-99fa-78960628a9af
https://doi.org/10.1109/CSPA.2017.8064928

المؤلفون: Gupta, Rohit, Bloch, Anthony M., Kolmanovsky, Ilya V.

مصطلحات موضوعية: optimal control, iterative/numerical methods, Industrial and Operations Engineering, Engineering

وصف الملف: application/pdf

Relation: Gupta, Rohit; Bloch, Anthony M.; Kolmanovsky, Ilya V. (2017). "Combined homotopy and neighboring extremal optimal control." Optimal Control Applications and Methods 38(3): 459-469.; http://hdl.handle.net/2027.42/137623; Optimal Control Applications and Methods; Mereau PM, Powers WF. Conjugate point properties for linear quadratic problems. Journal of Mathematical Analysis and Applications. 1976; 55 ( 2 ): 418 – 433.; Dontchev AL, Hager WW. Lipschitzian stability in nonlinear control and optimization. SIAM Journal on Control and Optimization. 1993; 31 ( 3 ): 569 – 603.; Dontchev AL, Hager WW, Poore AB, Yang B. Optimality, stability, and convergence in nonlinear control. Applied Mathematics and Optimization. 1995; 31 ( 3 ): 297 – 326.; Dontchev AL, Hager WW. Lipschitzian stability for state constrained nonlinear optimal control. SIAM Journal on Control and Optimization. 1998; 36 ( 2 ): 698 – 718.; Schättler H, Ledzewicz U. Geometric Optimal Control: Theory, Methods and Examples. Springer Science & Business Media: New York, 2012.; Speyer JL, Jacobson DH. Primer on Optimal Control Theory. SIAM: Philadelphia, 2010.; Agrachev AA, Sachkov YL. Control Theory from the Geometric Viewpoint. Springer Science & Business Media: Heidelberg, 2004.; Breakwell JV, Yu‐Chi H. On the conjugate point condition for the control problem. International Journal of Engineering Science. 1965; 2 ( 6 ): 565 – 579.; Caroff N, Frankowska H. Conjugate points and shocks in nonlinear optimal control. Transactions of the American Mathematical Society. 1996; 348 ( 8 ): 3133 – 3153.; Loewen PD, Zheng H. Generalized conjugate points for optimal control problems. Nonlinear Analysis: Theory, Methods & Applications. 1994; 22 ( 6 ): 771 – 791.; Zeidan V, Zezza P. The conjugate point condition for smooth control sets. Journal of Mathematical Analysis and Applications. 1988; 132 ( 2 ): 572 – 589.; Zeidan V, Zezza P. Conjugate points and optimal control: counterexamples. IEEE Transactions on Automatic Control. 1989; 34 ( 2 ): 254 – 255.; Zeidan V. The Riccati equation for optimal control problems with mixed state‐control constraints: necessity and sufficiency. SIAM Journal on Control and Optimization. 1994; 32 ( 5 ): 1297 – 1321.; Bertrand R, Epenoy R. New smoothing techniques for solving bang‐bang optimal control problems numerical results and statistical interpretation. Optimal Control Applications and Methods. 2002; 23 ( 4 ): 171 – 197.; Silva C, Trélat E. Smooth regularization of bang‐bang optimal control problems. IEEE Transactions on Automatic Control. 2010; 55 ( 11 ): 2488 – 2499.; Davison EJ, Maki MC. The numerical solution of the matrix Riccati differential equation. IEEE Transactions on Automatic Control. 1973; 18 ( 1 ): 71 – 73.; Abou‐Kandil H, Freiling G, Ionescu V, Jank G. Matrix Riccati Equations in Control and Systems Theory. Birkhäuser, 2012.; Frankowska H. 2002. Value function in optimal control. In Mathematical Control Theory, Lecture Notes, Agrachev AA (ed.)., International Centre for Theoretical Physics, vol. 8; 515 – 653.; Betts JT. Survey of numerical methods for trajectory optimization. Journal of Guidance, Control, and Dynamics. 1998; 21 ( 2 ): 193 – 207.; Rao AV. A survey of numerical methods for optimal control. Advances in the Astronautical Sciences. 2009; 135 ( 1 ): 497 – 528.; Ben‐Asher JZ. Optimal Control Theory with Aerospace Applications. American Institute of Aeronautics and Astronautics, 2010.; Hauser J, Meyer DG. Trajectory morphing for nonlinear systems. In Proceedings of American Control Conference: Philadelphia, 1998; 2065 – 2070.; Graichen K, Petit N. A continuation approach to state and adjoint calculation in optimal control applied to the reentry problem. In Proceedings of IFAC World Congress: Seoul, 2008; 14307 – 14312.; Olympio JT. A second‐order gradient solver using a homotopy method for space trajectory problems. In Proceedings of AIAA/AAS Astrodynamics Specialist Conference: Toronto, 2010; AIAA 2010 – 7827.; Hatcher A. Algebraic Topology. Cambridge University Press: Cambridge, 2002.; Allgower EL, Georg K. Numerical Continuation Methods: An Introduction. Springer Science & Business Media: Berlin, 1990.; Trélat E. Optimal control and applications to aerospace: some results and challenges. Journal of Optimization Theory and Applications. 2012; 154 ( 3 ): 713 – 758.; Bonilla J, Diehl M, Logist F, De Moor B, Van Impe JF. A convexity‐based homotopy method for nonlinear optimization in model predictive control. Optimal Control Applications and Methods. 2010; 31 ( 5 ): 393 – 414.; Caillau JB, Cots O, Gergaud J. Differential continuation for regular optimal control problems. Optimization Methods and Software. 2012; 27 ( 2 ): 177 – 196.; Kim M. Continuous low‐thrust trajectory optimization: techniques and applications. Ph.D. Thesis, Virginia Polytechnic Institute and State University, 2005.; Rostalski P, Fotiou IA, Bates DJ, Beccuti AG, Morari M. Numerical algebraic geometry for optimal control applications. SIAM Journal on Optimization. 2011; 21 ( 2 ): 417 – 437.; Zhulin SS. Homotopy method for finding extremals in optimal control problems. Differential Equations. 2007; 43 ( 11 ): 1495 – 1504.; Bloch AM. Nonholonomic Mechanics and Control. Springer Science & Business Media: New York, 2015.; Bryson AE. Applied Optimal Control: Optimization, Estimation and Control. CRC Press: Boca Raton, 1975.

الاتاحة: http://hdl.handle.net/2027.42/137623
https://doi.org/10.1002/oca.2253

المؤلفون: Hudson, Jennifer, Gupta, Rohit, Li, Nan, Kolmanovsky, Ilya

مصطلحات موضوعية: orbital trajectory optimization, optimal control, iterative/numerical methods, Industrial and Operations Engineering, Engineering

وصف الملف: application/pdf

Relation: Hudson, Jennifer; Gupta, Rohit; Li, Nan; Kolmanovsky, Ilya (2017). "Iterative model and trajectory refinement for orbital trajectory optimization." Optimal Control Applications and Methods 38(6): 1132-1147.; http://hdl.handle.net/2027.42/139923; Optimal Control Applications and Methods; Isidori A, Astolfi A. Disturbance attenuation and H ∞ control via measurement feedback in nonlinear systems. IEEE Trans Autom Control. 1992; 37 ( 9 ): 1283 ‐ 1293.; Gupta R, Hudson J, Bloch AM, Kolmanovsky IV. Optimal control of manifold filling during VDE mode transitions. Proceedings of the 52nd IEEE Conference on Decision and Control. Florence, Italy; 2013: 2227 – 2232.; Clohessy WH, Wiltshire RS. Terminal guidance system for satellite rendezvous. J Aerosp Sci. 1960; 27 ( 9 ): 653 ‐ 658.; Hudson J, Kolmanovsky I. Iterative model refinement for orbital trajectory optimization. Proceedings of 2012 AAS/AIAA Space Flight Mechanics Meeting. Charleston, SC; 2012: 1933 – 1950.; Hudson J, Kolmanovsky IV. Iterative model and trajectory refinement for attitude and shape control of a dumbbell spacecraft. Proceedings of 2013 AAS/AIAA Astrodynamics Specialist Conference. Hilton Head, South Carolina; Summer August 11, 2013. Paper AAS 13‐890: 2787 – 2796.; Frihauf P, Krstic M, Basar T. Finite‐horizon LQ control for unknown discrete‐time linear systems via extremum seeking. Proceedings of 51st IEEE Conference on Decision and Control (CDC), vol. 10‐13. Maui, HI; December 2012: 5717 ‐ 5722. doi:10.1109/CDC.2012.6426052; Gunnarsson S, Norrlof M. On the design of ILC algorithms using optimization. Automatica. 2001; 37 ( 12 ): 2011 ‐ 2016. ISSN 0005‐1098, 10.1016/S0005‐1098(01)00154‐6; Lee JH, Lee KS, Kim WC. Model‐based iterative learning control with a quadratic criterion for time‐varying linear systems. Autom. 2000; 36 ( 5 ): 641 ‐ 657. ISSN 0005‐1098, 10.1016/S0005‐1098(99)00194‐6; Luus R. On the application of iterative dynamic programming to singular optimal control problems. IEEE Trans Autom Control. 1992; 37 ( 11 ): 1802 ‐ 1806. doi:10.1109/9.173155; Hofer EP, Tibken B. An iterative method for the finite‐time bilinear‐quadratic control problem. J Optim Theory Appl. 1998; 57 ( 3 ): 411 ‐ 427. doi:10.1007/BF02346161; Ying YQ, Rao M, Sun Y. Suboptimal control for bilinear systems. Optimal Control Appl Methods. 1993; 14 ( 3 ): 195 ‐ 201. 10.1002/oca.4660140305; Aganovic Z, Gajic Z. The successive approximation procedure for finite‐time optimal control of bilinear systems. IEEE Trans Autom Control. 1994; 39 ( 9 ): 1932 ‐ 1935. doi:10.1109/9.317128; Lee S, Lee K. Bilinear systems controller design with approximation techniques. J Chungcheong Math Soc. 2005; 18 ( 1 ): 101 – 116.; Conway BA. Spacecraft Trajectory Optimization. Cambridge: Cambridge University Press; 2010.; Boltyanski VG, Poznyak AS. The Robust Maximum Principle: Theory and Applications. New York: Birkhäuser Mathematics; 2012.; Wie B. Space Vehicle Dynamics and Control. Reston, VA: AIAA; 1998.; Polk JE, Brinza D, Kakuda RY, et al. Demonstration of the NSTAR ion propulsion system on the Deep Space One mission. Proceedings of the 27th International Electric Propulsion Conference. Pasadena, CA; October 2001. also Paper 01‐075.; Patterson MJ, Benson SW. NEXT ion propulsion system development status and performance. Proceedings of the 43rd Joint Propulsion Conference and Exhibit. Cincinnati, OH; 2007. also Paper 2007‐5199.; Florenz RE, Hall SJ, Gallimore AD, et al. First firing of a 100‐kW nested‐channel hall thruster. Proceedings of the 33rd International Electric Propulsion Conference. Washington, DC; 2013: 27 – 40. IEPC‐2013‐394.; Betts JT. Very low‐thrust trajectory optimization using a direct SQP method. J Comput Appl Math. 27 ‐ 40; 120.; Hudson J, Kolmanovsky IV, Hong J, et al. Iterative model and trajectory refinement for launch optimization of automotive powertrains. Proceedings of 15th IFAC Workshop on Control Applications of Optimization. Rimini, Italy; September 2012: 147 – 151.

الاتاحة: http://hdl.handle.net/2027.42/139923
https://doi.org/10.1002/oca.2319

المؤلفون: Rafique, Abid, Constantinides, George A., Kapre, Nachiket

المساهمون: School of Computer Engineering

مصطلحات موضوعية: Graphics processing units (GPUs), Iterative numerical methods, Spare matrix-vector multiply, Matrix powers kernel, Field programmable gate arrays (FPGAs)

وصف الملف: 11 p.; application/pdf

Relation: IEEE Transactions on Parallel and Distributed Systems; Rafique, A., Constantinides, G. A., & Kapre, N. (2015). Communication Optimization of Iterative Sparse Matrix-Vector Multiply on GPUs and FPGAs. IEEE Transactions on Parallel and Distributed Systems, 26(1), 24-34.; https://hdl.handle.net/10356/81168; http://hdl.handle.net/10220/39128

الاتاحة: https://hdl.handle.net/10356/81168
http://hdl.handle.net/10220/39128
https://doi.org/10.1109/TPDS.2014.6

المؤلفون: Akimova, Elena N., Belousov, D. V.

المصدر: Journal of Computational Science

مصطلحات موضوعية: BLOCK-TRIDIAGONAL SLAE, DIRECT AND ITERATIVE NUMERICAL METHODS, MULTI-CORE CPU AND GRAPHICS PROCESSORS NVIDIA, PARALLEL ALGORITHMS

وصف الملف: application/pdf

Relation: Akimova E. N. Parallel algorithms for solving linear systems with block-tridiagonal matrices on multi-core CPU with GPU / Elena N. Akimova, D. V. Belousov // Journal of Computational Science. — 2012. — Vol. 3. — № 6. — P. 445-449.; 49aeb492-25cb-4f1d-a5b2-b29d70e5e45f; http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=84867209814; http://elar.urfu.ru/handle/10995/51207; 84867209814

الاتاحة: http://elar.urfu.ru/handle/10995/51207
http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=84867209814
https://doi.org/10.1016/j.jocs.2012.08.004

المؤلفون: Dmitry V. Belousov, Elena N. Akimova

المصدر: Journal of Computational Science

مصطلحات موضوعية: DIRECT AND ITERATIVE NUMERICAL METHODS, Multi-core processor, General Computer Science, Tridiagonal matrix, Computer science, Preconditioner, MULTI-CORE CPU AND GRAPHICS PROCESSORS NVIDIA, Linear system, Parallel algorithm, MathematicsofComputing_NUMERICALANALYSIS, Parallel computing, BLOCK-TRIDIAGONAL SLAE, Theoretical Computer Science, Computational science, Matrix (mathematics), Square root, Modeling and Simulation, Conjugate gradient method, ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION, Computer Science::Mathematical Software, PARALLEL ALGORITHMS

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9466abb024df637a3d7221d930fe4df3
https://elar.urfu.ru/handle/10995/51207

المؤلفون: Riccardo Fazio

مصطلحات موضوعية: Class (set theory), Group (mathematics), Applied Mathematics, Mathematical analysis, Constructive, Noniterative and iterative numerical methods, Computational Mathematics, Free boundary value problems, Transformation (function), Corollary, Ordinary differential equation, Order (group theory), Applied mathematics, Boundary value problem, Mathematics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f4063e4bbb111c08f6b73efc211e75e
http://hdl.handle.net/11570/11293

المؤلفون: Riccardo Fazio

المصدر: Journal of Computational and Applied Mathematics. (3):313-321

مصطلحات موضوعية: Work (thermodynamics), Iterative method, Numerical analysis, Applied Mathematics, Mathematical analysis, Boundary (topology), Context (language use), Geometry, Upper and lower bounds, Computational Mathematics, noniterative and iterative numerical methods, Flow (mathematics), free boundary value problems, Free boundary problem, Mathematics, Tubular flow reactors

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b25ea0c2e6849cfedb0f2c0a97c0a001

المؤلفون: Baker, Victor R., McGuire, Luke A., Yin, Jianjun, Prescott, Alexander B.

مصطلحات الفهرس: Bayesian, Climate change, Diffusive wave approximation, Iterative numerical methods, Markov Chain Monte Carlo, Suspended sediment, Electronic Dissertation, text

URL: http://hdl.handle.net/10150/672678