Gotowa bibliografia na temat „SDP optimization”
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Artykuły w czasopismach na temat "SDP optimization"
MEVISSEN, MARTIN, i MASAKAZU KOJIMA. "SDP RELAXATIONS FOR QUADRATIC OPTIMIZATION PROBLEMS DERIVED FROM POLYNOMIAL OPTIMIZATION PROBLEMS". Asia-Pacific Journal of Operational Research 27, nr 01 (luty 2010): 15–38. http://dx.doi.org/10.1142/s0217595910002533.
Pełny tekst źródłaLiu, Yiyuan, Baoguo Li i Yizhou Yao. "Radar-Embedded Communication Waveform Design Based on Parameter Optimization". Journal of Physics: Conference Series 2404, nr 1 (1.12.2022): 012032. http://dx.doi.org/10.1088/1742-6596/2404/1/012032.
Pełny tekst źródłaMetzlaff, Tobias. "Symmetry Adapted Bases for Trigonometric Optimization". ACM Communications in Computer Algebra 57, nr 3 (wrzesień 2023): 137–40. http://dx.doi.org/10.1145/3637529.3637535.
Pełny tekst źródłaHu, En-Liang, i Bo Wang. "A new optimization in SDP-based learning". Neurocomputing 365 (listopad 2019): 10–20. http://dx.doi.org/10.1016/j.neucom.2019.06.058.
Pełny tekst źródłaHu, Haijiang, Shaojing Song i Fengdeng Zhang. "FIR to FIR Model Reduction with Linear Group Delay in Passband by SDP Optimization". Journal of Electrical and Computer Engineering 2020 (20.02.2020): 1–7. http://dx.doi.org/10.1155/2020/4503706.
Pełny tekst źródłaKANNO, Y., M. OHSAKI i N. KATOH. "SEQUENTIAL SEMIDEFINITE PROGRAMMING FOR OPTIMIZATION OF FRAMED STRUCTURES UNDER MULTIMODAL BUCKLING CONSTRAINTS". International Journal of Structural Stability and Dynamics 01, nr 04 (grudzień 2001): 585–602. http://dx.doi.org/10.1142/s0219455401000305.
Pełny tekst źródłaGil-González, Walter, Alexander Molina-Cabrera, Oscar Danilo Montoya i Luis Fernando Grisales-Noreña. "An MI-SDP Model for Optimal Location and Sizing of Distributed Generators in DC Grids That Guarantees the Global Optimum". Applied Sciences 10, nr 21 (30.10.2020): 7681. http://dx.doi.org/10.3390/app10217681.
Pełny tekst źródłaRen, Fangyu, Huotao Gao, Lijuan Yang i Sang Zhou. "Distributed Multistatic Sky-Wave Over-the-Horizon Radar’s Positioning Algorithm for the Marine Target". International Journal of Antennas and Propagation 2021 (27.10.2021): 1–7. http://dx.doi.org/10.1155/2021/1028784.
Pełny tekst źródłaNandyala, Raja Thejaswini, i Muthupandi Gandhi. "High uncertainty aware localization and error optimization of mobile nodes for wireless sensor networks". IAES International Journal of Artificial Intelligence (IJ-AI) 12, nr 4 (1.12.2023): 2022. http://dx.doi.org/10.11591/ijai.v12.i4.pp2022-2032.
Pełny tekst źródłaGuolei, Tang, Zhou Huicheng i Li Ningning. "Reservoir optimization model incorporating inflow forecasts with various lead times as hydrologic state variables". Journal of Hydroinformatics 12, nr 3 (24.11.2009): 292–302. http://dx.doi.org/10.2166/hydro.2009.088.
Pełny tekst źródłaRozprawy doktorskie na temat "SDP optimization"
Campos, Salazar Juan. "A multigrid approach to SDP relaxations of sparse polynomial optimization problems". Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/56630.
Pełny tekst źródłaKhan, Ejaz. "Techniques itératives pour les systèmes CDMA et algorithmes de détection MIMO". Paris, ENST, 2003. http://www.theses.fr/2003ENST0020.
Pełny tekst źródłaWe focus on low complexity maximum likelihood detection. The em algorithm is a broadly applicable approach to the iterative computation of ml estimates, useful in variety of incomplete-data problems, where algorithms such as the newton-raphson method may turn out to be more complicated. In the first part of the thesis, we use em algorithm to estimate the channel amplitudes blindly and compare the results with the cramer-rao bound (crb). The second part of the thesis concerns the detection problem in mimo systems. We are able to device an algorithm for approximate ml detection using a discrete geometric approach. The advantage of this algorithm is that its performance is polynomial irrespective of the snr and no heuristic is employed in our algorithm. An alternative way to ml problem is to devise low complexity algorithms whose performance is close to the exact ml. This can be done using semidefinite programming (sdp) approach. The computational complexity of the sdp approach is comparable to the average complexity of the sphere decoder but still it is quite complicated for large systems. We obtained low complexity (by reducing the number of the variables) approximate ml by second order cone programming (socp) approach. In the above discussion the channel state information is assumed to be known at the receiver. We further looked into the problem of detection with no channel knowledge at the receiver. The result was the joint channel-symbol estimation. We obtained the results of joint channel-symbol estimation using em algorithm and in order to reduce the complexity of the resulting em algorithm, we used mean field theory (mft) approach
Passuello, Alberto. "Semidefinite programming in combinatorial optimization with applications to coding theory and geometry". Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00948055.
Pełny tekst źródłaNiu, Yi Shuai. "Programmation DC et DCA en optimisation combinatoire et optimisation polynomiale via les techniques de SDP : codes et simulations numériques". Phd thesis, INSA de Rouen, 2010. http://tel.archives-ouvertes.fr/tel-00557911.
Pełny tekst źródłaFraticelli, Barbara M. P. "Semidefinite Cuts and Partial Convexification Techniques with Applications to Continuous Nonconvex Optimization, Stochastic Integer Programming, and Facility Layout Problems". Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/27293.
Pełny tekst źródłaPh. D.
Fletcher, Thomas P. "Optimal energy management strategy for a fuel cell hybrid electric vehicle". Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/25567.
Pełny tekst źródłaHalalchi, Houssem. "Commande linéaire à paramètres variants des robots manipulateurs flexibles". Phd thesis, Université de Strasbourg, 2012. http://tel.archives-ouvertes.fr/tel-00762367.
Pełny tekst źródłaMonori, Akos. "Task assignment optimization in SAP Extended WarehouseManagement". Thesis, Högskolan Dalarna, Datateknik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:du-3598.
Pełny tekst źródłaGul, Sufi Tabassum. "Optimization of Multi-standards Software Defined Radio Equipments: A Common Operators Approach". Phd thesis, Université Rennes 1, 2009. http://tel.archives-ouvertes.fr/tel-00446230.
Pełny tekst źródłaMathews, Steffy Ann. "Optimization of an SDR Based Aerial Base Station". Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1011834/.
Pełny tekst źródłaKsiążki na temat "SDP optimization"
SAP performance optimization guide. Wyd. 6. Bonn: Galileo Press, 2011.
Znajdź pełny tekst źródłaSAP performance optimization guide: Analyzing and tuning SAP systems. Wyd. 7. Bonn: Galileo Press, 2013.
Znajdź pełny tekst źródłaSAP R/3 performance optimization: The official SAP guide. San Francisco: Sybex, 1999.
Znajdź pełny tekst źródłaChristensen, Jesper. SAP BW: Administration and performance optimization. Bonn: Galileo Press, 2014.
Znajdź pełny tekst źródłaCorporation, International Business Machines, red. DB2 optimization techniques for SAP database migration and Unicode conversion. [Poughkeepsie, N.Y.?]: IBM Corporation, International Technical Support Organization, 2009.
Znajdź pełny tekst źródłaservice), SpringerLink (Online, red. Optimal Stochastic Control, Stochastic Target Problems, and Backward SDE. New York, NY: Springer New York, 2013.
Znajdź pełny tekst źródłaNeureither, A. SAP System Landscape Optimization. SAP press, 2004.
Znajdź pełny tekst źródłaSAP Performance Optimization Guide. SAP Press, 2002.
Znajdź pełny tekst źródłaInventory Optimization with SAP. Rheinwerk Publishing Inc., 2009.
Znajdź pełny tekst źródłaSAP Performance Optimization Guide. Wyd. 3. SAP Press, 2003.
Znajdź pełny tekst źródłaCzęści książek na temat "SDP optimization"
Luo, Zhi-Quan, Jos F. Sturm i Shuzhong Zhang. "Superlinear Convergence of a Symmetric Primal-Dual Path Following Algorithm for SDP". W Applied Optimization, 283–97. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4613-3335-7_14.
Pełny tekst źródłaShamsi, Davood, Nicole Taheri, Zhisu Zhu i Yinyu Ye. "Conditions for Correct Sensor Network Localization Using SDP Relaxation". W Discrete Geometry and Optimization, 279–301. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00200-2_16.
Pełny tekst źródłaNavascués, Miguel, Stefano Pironio i Antonio Acín. "SDP Relaxations for Non-Commutative Polynomial Optimization". W Handbook on Semidefinite, Conic and Polynomial Optimization, 601–34. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0769-0_21.
Pełny tekst źródłaSotirov, Renata. "SDP Relaxations for Some Combinatorial Optimization Problems". W Handbook on Semidefinite, Conic and Polynomial Optimization, 795–819. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0769-0_27.
Pełny tekst źródłaLemaréchal, Claude, i François Oustry. "SDP Relaxations in Combinatorial Optimization from a Lagrangian Viewpoint". W Nonconvex Optimization and Its Applications, 119–34. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4613-0279-7_6.
Pełny tekst źródłaLasserre, Jean B. "Convergent SDP-Relaxations for Polynomial Optimization with Sparsity". W Lecture Notes in Computer Science, 263–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11832225_27.
Pełny tekst źródłaElbassioni, Khaled, i Kazuhisa Makino. "Oracle-Based Primal-Dual Algorithms for Packing and Covering Semidefinite Programs". W Sublinear Computation Paradigm, 47–63. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4095-7_4.
Pełny tekst źródłaLasserre, Jean B. "An Explicit Exact SDP Relaxation for Nonlinear 0-1 Programs". W Integer Programming and Combinatorial Optimization, 293–303. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45535-3_23.
Pełny tekst źródłaKim, Sunyoung, i Masakazu Kojima. "Exploiting Sparsity in SDP Relaxation of Polynomial Optimization Problems". W Handbook on Semidefinite, Conic and Polynomial Optimization, 499–531. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0769-0_18.
Pełny tekst źródłaHsieh, Jun-Ting, Pravesh K. Kothari, Lucas Pesenti i Luca Trevisan. "New SDP Roundings and Certifiable Approximation for Cubic Optimization". W Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2337–62. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2024. http://dx.doi.org/10.1137/1.9781611977912.83.
Pełny tekst źródłaStreszczenia konferencji na temat "SDP optimization"
White, Jules, i Douglas C. Schmidt. "R&D challenges and emerging solutions for multicore deployment/configuration optimization". W the FSE/SDP workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1882362.1882445.
Pełny tekst źródłaSanmugadas, Varakini, i Rakesh K. Kapania. "Truss Topology Optimization With Semidefinite Programming and Parametric Model Order Reduction". W ASME 2023 Aerospace Structures, Structural Dynamics, and Materials Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/ssdm2023-108410.
Pełny tekst źródłaLee, Soomin, i Michael M. Zavlanos. "Approximate projections for decentralized optimization with SDP constraints". W 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE, 2016. http://dx.doi.org/10.1109/cdc.2016.7798403.
Pełny tekst źródłaWu, Liangting, i Roberto Tron. "An SDP Optimization Formulation for the Inverse Kinematics Problem". W 2023 62nd IEEE Conference on Decision and Control (CDC). IEEE, 2023. http://dx.doi.org/10.1109/cdc49753.2023.10384035.
Pełny tekst źródłaZhang, Qinghong, Gang Chen i Ting Zhang. "Self-Dual Embedding for SDP Using ELSD and its Lagrangian Dual". W 2010 Third International Joint Conference on Computational Science and Optimization. IEEE, 2010. http://dx.doi.org/10.1109/cso.2010.139.
Pełny tekst źródłaKrechetov, Mikhail, Jakub Marecek, Yury Maximov i Martin Takac. "Entropy-Penalized Semidefinite Programming". W Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/157.
Pełny tekst źródłaAlsaleh, Ibrahim, Lingling Fan i Minyue Ma. "Mixed-Integer SDP Relaxation-based Volt/Var Optimization for Unbalanced Distribution Systems". W 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019. http://dx.doi.org/10.1109/pesgm40551.2019.8973879.
Pełny tekst źródłaTomasin, Stefano, i Tomaso Erseghe. "Constrained optimization of local sources generation in smart grids by SDP approximation". W 2011 IEEE International Symposium on Power Line Communications and Its Applications (ISPLC). IEEE, 2011. http://dx.doi.org/10.1109/isplc.2011.5764388.
Pełny tekst źródłaAllen-Zhu, Zeyuan, Yin Tat Lee i Lorenzo Orecchia. "Using Optimization to Obtain a Width-Independent, Parallel, Simpler, and Faster Positive SDP Solver". W Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2015. http://dx.doi.org/10.1137/1.9781611974331.ch127.
Pełny tekst źródłaRapoport, Lev, i Timofey Tormagov. "Using of the SDP Relaxation Method for Optimization of the Satellites Set Chosen for Positioning". W 31st International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2018). Institute of Navigation, 2018. http://dx.doi.org/10.33012/2018.15994.
Pełny tekst źródłaRaporty organizacyjne na temat "SDP optimization"
Alwan, Iktimal, Dennis D. Spencer i Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, grudzień 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.
Pełny tekst źródłaOblow, E. M. STP: A Stochastic Tunneling Algorithm for Global Optimization. Office of Scientific and Technical Information (OSTI), maj 1999. http://dx.doi.org/10.2172/814395.
Pełny tekst źródłaOron, Gideon, Raphi Mandelbaum, Carlos E. Enriquez, Robert Armon, Yoseph Manor, L. Gillerman, A. Alum i Charles P. Gerba. Optimization of Secondary Wastewater Reuse to Minimize Environmental Risks. United States Department of Agriculture, grudzień 1999. http://dx.doi.org/10.32747/1999.7573077.bard.
Pełny tekst źródłaKing, Wayne. Process Control for Defect Mitigation in Laser Powder Bed Fusion Additive Manufacturing. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, maj 2023. http://dx.doi.org/10.4271/epr2023011.
Pełny tekst źródłaKolodziejczyk, Bart. Emergence of Quantum Computing Technologies in Automotive Applications: Opportunities and Future Use Cases. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, kwiecień 2024. http://dx.doi.org/10.4271/epr2024008.
Pełny tekst źródłaBleuel, D. L., i R. J. Donahue. Optimization of the {sup 7}Li(p,n) proton beam energy for BNCT applications. Office of Scientific and Technical Information (OSTI), luty 1996. http://dx.doi.org/10.2172/212700.
Pełny tekst źródłaBleuel, B. L., i R. J. Donahue. Optimization of the {sup 7}Li(p,n) proton beam energy for BNCT applications. Office of Scientific and Technical Information (OSTI), maj 1996. http://dx.doi.org/10.2172/273022.
Pełny tekst źródłaHeinkenschloss, Matthias, Denis Ridzal i Miguel Antonio Aguilo. Numerical study of a matrix-free trust-region SQP method for equality constrained optimization. Office of Scientific and Technical Information (OSTI), grudzień 2011. http://dx.doi.org/10.2172/1038211.
Pełny tekst źródłaKhan, Samir. Towards MRO 4.0: Challenges for Digitalization and Mapping Emerging Technologies. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, kwiecień 2023. http://dx.doi.org/10.4271/epr2023007.
Pełny tekst źródłaWeller, Joel I., Ignacy Misztal i Micha Ron. Optimization of methodology for genomic selection of moderate and large dairy cattle populations. United States Department of Agriculture, marzec 2015. http://dx.doi.org/10.32747/2015.7594404.bard.
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