Artículos de revistas sobre el tema "CONEX framework"
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Fang, Zheng y Juwon Seo. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones". Econometrica 89, n.º 5 (2021): 2439–58. http://dx.doi.org/10.3982/ecta17764.
Texto completoWiecek, Margaret M. "Advances in Cone-Based Preference Modeling for Decision Making with Multiple Criteria". Decision Making in Manufacturing and Services 1, n.º 2 (11 de octubre de 2007): 153–73. http://dx.doi.org/10.7494/dmms.2007.1.2.153.
Texto completoKojima, Masakazu, Sunyoung Kim y Hayato Waki. "A GENERAL FRAMEWORK FOR CONVEX RELAXATION OF POLYNOMIAL OPTIMIZATION PROBLEMS OVER CONES". Journal of the Operations Research Society of Japan 46, n.º 2 (2003): 125–44. http://dx.doi.org/10.15807/jorsj.46.125.
Texto completoOhta, Tomoyuki, Tatsuki Yamazaki, Shinnosuke Murakami, Ryoichi Mukai y Yoshiaki Kakuda. "Evaluation framework for simulating MANET-based systems". IEICE Communications Express 10, n.º 7 (1 de julio de 2021): 404–8. http://dx.doi.org/10.1587/comex.2021xbl0089.
Texto completoLewkowicz, Izchak. "Convex invertible cones of matrices — a unified framework for the equations of Sylvester, Lyapunov and Riccati". Linear Algebra and its Applications 286, n.º 1-3 (enero de 1999): 107–33. http://dx.doi.org/10.1016/s0024-3795(98)10164-7.
Texto completoTaenaka, Yuzo y Kazuya Tsukamoto. "An efficient traffic management framework for multi-channel wireless backbone networks". IEICE Communications Express 3, n.º 3 (2014): 98–103. http://dx.doi.org/10.1587/comex.3.98.
Texto completoRashid, Saima, Humaira Kalsoom, Zakia Hammouch, Rehana Ashraf, Dumitru Baleanu y Yu-Ming Chu. "New Multi-Parametrized Estimates Having pth-Order Differentiability in Fractional Calculus for Predominating ℏ-Convex Functions in Hilbert Space". Symmetry 12, n.º 2 (2 de febrero de 2020): 222. http://dx.doi.org/10.3390/sym12020222.
Texto completoSaha, Sourav, Sahibjot Kaur, Jayanta Basak y Priya Ranjan Sinha Mahapatra. "A Computer Vision Framework for Automated Shape Retrieval". American Journal of Advanced Computing 1, n.º 1 (1 de enero de 2020): 1–15. http://dx.doi.org/10.15864/ajac.1108.
Texto completoMondal, Sourav, Goutam Das y Elaine Wong. "An Analytical Cost-Optimal Cloudlet Placement Framework over Fiber-Wireless Networks with Quasi-Convex Latency Constraint". Electronics 8, n.º 4 (5 de abril de 2019): 404. http://dx.doi.org/10.3390/electronics8040404.
Texto completoSasaki, Sho, Yuichi Miyaji y Hideyuki Uehara. "A novel framework of routing policy for energy-efficient wireless sensor networks: Progress-based nearest forwarding". IEICE Communications Express 6, n.º 3 (2017): 109–14. http://dx.doi.org/10.1587/comex.2016xbl0176.
Texto completoAl-Matouq, Ali Ahmed. "A Convex LASSO Framework for Linear Timetabling". IEEE Access 8 (2020): 167475–89. http://dx.doi.org/10.1109/access.2020.3019598.
Texto completoShaker, Hamid Reza y Rafael Wisniewski. "Switched Systems Reduction Framework Based on Convex Combination of Generalized Gramians". Journal of Control Science and Engineering 2009 (2009): 1–11. http://dx.doi.org/10.1155/2009/710478.
Texto completoZhu, Hanxin, Tao Yu, Weicong Wu y Zhuohuan Li. "Distributed Optimal Scheduling of Electricity–Gas–Heating System Based on Improved Alternating Direction Method of Multipliers". Applied Sciences 10, n.º 4 (11 de febrero de 2020): 1214. http://dx.doi.org/10.3390/app10041214.
Texto completoTowle, Eli y James Luedtke. "Intersection Disjunctions for Reverse Convex Sets". Mathematics of Operations Research 47, n.º 1 (febrero de 2022): 297–319. http://dx.doi.org/10.1287/moor.2021.1132.
Texto completoFlamant, Julien, Sebastian Miron y David Brie. "A General Framework for Constrained Convex Quaternion Optimization". IEEE Transactions on Signal Processing 70 (2022): 254–67. http://dx.doi.org/10.1109/tsp.2021.3137746.
Texto completoHo-Nguyen, Nam y Fatma Kılınç-Karzan. "Online First-Order Framework for Robust Convex Optimization". Operations Research 66, n.º 6 (noviembre de 2018): 1670–92. http://dx.doi.org/10.1287/opre.2018.1764.
Texto completoBertsekas, Dimitri P. y Huizhen Yu. "A Unifying Polyhedral Approximation Framework for Convex Optimization". SIAM Journal on Optimization 21, n.º 1 (enero de 2011): 333–60. http://dx.doi.org/10.1137/090772204.
Texto completoEichfelder, Gabriele y Patrick Groetzner. "A note on completely positive relaxations of quadratic problems in a multiobjective framework". Journal of Global Optimization 82, n.º 3 (15 de octubre de 2021): 615–26. http://dx.doi.org/10.1007/s10898-021-01091-2.
Texto completoTran-Dinh, Quoc, Ling Liang y Kim-Chuan Toh. "A New Homotopy Proximal Variable-Metric Framework for Composite Convex Minimization". Mathematics of Operations Research 47, n.º 1 (febrero de 2022): 508–39. http://dx.doi.org/10.1287/moor.2021.1138.
Texto completoXu, Hui, Yongguo Yang, Xin Wang, Mingming Liu, Hongxia Xie y Chujiao Wang. "Multiple Kernel Dimensionality Reduction via Ratio-Trace and Marginal Fisher Analysis". Mathematical Problems in Engineering 2019 (14 de enero de 2019): 1–8. http://dx.doi.org/10.1155/2019/6941475.
Texto completoChen, J. "A theoretical framework of regional cone-beam tomography". IEEE Transactions on Medical Imaging 11, n.º 3 (1992): 342–50. http://dx.doi.org/10.1109/42.158938.
Texto completoBenson, T. M. y J. Gregor. "Framework for iterative cone-beam micro-CT reconstruction". IEEE Transactions on Nuclear Science 52, n.º 5 (octubre de 2005): 1335–40. http://dx.doi.org/10.1109/tns.2005.858206.
Texto completoKhan, L. A. y A. B. Thaheem. "Multiplication operators on weighted spaces in the non-locally convex framework". International Journal of Mathematics and Mathematical Sciences 20, n.º 1 (1997): 75–79. http://dx.doi.org/10.1155/s0161171297000112.
Texto completoVrankic, Ilko y Mira Krpan. "Short Run Profit Maximization in a Convex Analysis Framework". Interdisciplinary Description of Complex Systems 15, n.º 1 (2017): 1–15. http://dx.doi.org/10.7906/indecs.15.1.1.
Texto completoSun, Churen. "Robust convex conic optimization in D-induced duality framework". Journal of Information and Optimization Sciences 29, n.º 4 (julio de 2008): 603–30. http://dx.doi.org/10.1080/02522667.2008.10699824.
Texto completoRostampour, Vahab y Tamás Keviczky. "Distributed Computational Framework for Large-Scale Stochastic Convex Optimization". Energies 14, n.º 1 (23 de diciembre de 2020): 23. http://dx.doi.org/10.3390/en14010023.
Texto completoTran-Dinh, Quoc, Ahmet Alacaoglu, Olivier Fercoq y Volkan Cevher. "An adaptive primal-dual framework for nonsmooth convex minimization". Mathematical Programming Computation 12, n.º 3 (31 de octubre de 2019): 451–91. http://dx.doi.org/10.1007/s12532-019-00173-3.
Texto completoBonami, Pierre, Lorenz T. Biegler, Andrew R. Conn, Gérard Cornuéjols, Ignacio E. Grossmann, Carl D. Laird, Jon Lee et al. "An algorithmic framework for convex mixed integer nonlinear programs". Discrete Optimization 5, n.º 2 (mayo de 2008): 186–204. http://dx.doi.org/10.1016/j.disopt.2006.10.011.
Texto completoFokkink, Wan, Jun Pang y Jaco van de Pol. "Cones and foci: A mechanical framework for protocol verification". Formal Methods in System Design 29, n.º 1 (9 de junio de 2006): 1–31. http://dx.doi.org/10.1007/s10703-006-0004-3.
Texto completoGeorgescu, Flavian. "Iterated Function Systems Consisting of Generalized Convex Contractions in the Framework of Complete Strong b-metric Spaces". Annals of West University of Timisoara - Mathematics and Computer Science 55, n.º 2 (1 de diciembre de 2017): 119–42. http://dx.doi.org/10.1515/awutm-2017-0018.
Texto completoNazemi, Alireza. "A new collaborate neuro-dynamic framework for solving convex second order cone programming problems with an application in multi-fingered robotic hands". Applied Intelligence 49, n.º 10 (15 de abril de 2019): 3512–23. http://dx.doi.org/10.1007/s10489-019-01462-z.
Texto completoEraslan, Oguz, Ozgur Inan y Asli Secilmis. "The Effect of Framework Design on Stress Distribution in Implant-Supported FPDs: A 3-D FEM Study". European Journal of Dentistry 04, n.º 04 (octubre de 2010): 374–82. http://dx.doi.org/10.1055/s-0039-1697856.
Texto completoAdeyemi, T. A., F. Akusah, A. A. Mebawondu, M. O. Adewole y O. K. Narain. "THE EXISTENCE OF A SOLUTION OF THE NONLINEAR INTEGRAL EQUATION VIA THE FIXED POINT APPROACH". Advances in Mathematics: Scientific Journal 10, n.º 7 (19 de julio de 2021): 2977–98. http://dx.doi.org/10.37418/amsj.10.7.5.
Texto completoTri Maryana, Okky Fajar, L. Y. Ginting, F. Pahlawan y M. Y. Darmawan. "Eksperimen Gangguan Getaran Pada Fenomena Cloaking Cahaya Tampak Sistem Empat Lensa". Journal of Science and Applicative Technology 3, n.º 2 (31 de diciembre de 2019): 55. http://dx.doi.org/10.35472/jsat.v3i2.213.
Texto completoPenot, Jean-Paul. "Autoconjugate functions and representations of monotone operators". Bulletin of the Australian Mathematical Society 67, n.º 2 (abril de 2003): 277–84. http://dx.doi.org/10.1017/s0004972700033748.
Texto completoPrakasvudhisarn, Chakguy y Shivakumar Raman. "Framework for Cone Feature Measurement Using Coordinate Measuring Machines". Journal of Manufacturing Science and Engineering 126, n.º 1 (1 de febrero de 2004): 169–77. http://dx.doi.org/10.1115/1.1644541.
Texto completoGe Wang y Shiying Zhao. "Feldkamp-type cone-beam tomography in the wavelet framework". IEEE Transactions on Medical Imaging 19, n.º 9 (2000): 922–29. http://dx.doi.org/10.1109/42.887839.
Texto completoZhao, Shiying, Hengyong Yu y Ge Wang. "A unified framework for exact cone-beam reconstruction formulas". Medical Physics 32, n.º 6Part1 (25 de mayo de 2005): 1712–21. http://dx.doi.org/10.1118/1.1869632.
Texto completoElliott, Robert J., Tak Kuen Siu y Samuel N. Cohen. "Backward stochastic difference equations for dynamic convex risk measures on a binomial tree". Journal of Applied Probability 52, n.º 3 (septiembre de 2015): 771–85. http://dx.doi.org/10.1239/jap/1445543845.
Texto completoElliott, Robert J., Tak Kuen Siu y Samuel N. Cohen. "Backward stochastic difference equations for dynamic convex risk measures on a binomial tree". Journal of Applied Probability 52, n.º 03 (septiembre de 2015): 771–85. http://dx.doi.org/10.1017/s0021900200113427.
Texto completoAl-Sulaiman, Talal y Ali Al-Matouq. "A Convex Collaborative Filtering Framework for Global Market Return Prediction". IEEE Access 9 (2021): 29458–69. http://dx.doi.org/10.1109/access.2021.3058646.
Texto completoBolívar-Nieto, Edgar A., Tyler Summers, Robert D. Gregg y Siavash Rezazadeh. "A convex optimization framework for robust-feasible series elastic actuators". Mechatronics 79 (noviembre de 2021): 102635. http://dx.doi.org/10.1016/j.mechatronics.2021.102635.
Texto completoBurger, Mathias, Giuseppe Notarstefano y Frank Allgower. "A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization". IEEE Transactions on Automatic Control 59, n.º 2 (febrero de 2014): 384–95. http://dx.doi.org/10.1109/tac.2013.2281883.
Texto completoMaehara, Takanori y Kazuo Murota. "A framework of discrete DC programming by discrete convex analysis". Mathematical Programming 152, n.º 1-2 (2 de julio de 2014): 435–66. http://dx.doi.org/10.1007/s10107-014-0792-y.
Texto completoMazumder, Rahul, Arkopal Choudhury, Garud Iyengar y Bodhisattva Sen. "A Computational Framework for Multivariate Convex Regression and Its Variants". Journal of the American Statistical Association 114, n.º 525 (15 de agosto de 2018): 318–31. http://dx.doi.org/10.1080/01621459.2017.1407771.
Texto completoGuzman, Yannis A., M. M. Faruque Hasan y Christodoulos A. Floudas. "Performance of convex underestimators in a branch-and-bound framework". Optimization Letters 10, n.º 2 (23 de septiembre de 2014): 283–308. http://dx.doi.org/10.1007/s11590-014-0799-6.
Texto completoAguirre-Hernández, Baltazar, Faustino Ricardo García-Sosa, Carlos Arturo Loredo-Villalobos, Raúl Villafuerte-Segura y Eric Campos-Cantón. "Open Problems Related to the Hurwitz Stability of Polynomials Segments". Mathematical Problems in Engineering 2018 (2018): 1–8. http://dx.doi.org/10.1155/2018/2075903.
Texto completoSigauke, Caston, Murendeni Nemukula y Daniel Maposa. "Probabilistic Hourly Load Forecasting Using Additive Quantile Regression Models". Energies 11, n.º 9 (23 de agosto de 2018): 2208. http://dx.doi.org/10.3390/en11092208.
Texto completoNazemi, Alireza y Atiye Sabeghi. "A new neural network framework for solving convex second-order cone constrained variational inequality problems with an application in multi-finger robot hands". Journal of Experimental & Theoretical Artificial Intelligence 32, n.º 2 (12 de agosto de 2019): 181–203. http://dx.doi.org/10.1080/0952813x.2019.1647559.
Texto completoDhiman, Gaurav, Sen Guo y Satnam Kaur. "ED-SHO: A framework for solving nonlinear economic load power dispatch problem using spotted hyena optimizer". Modern Physics Letters A 33, n.º 40 (28 de diciembre de 2018): 1850239. http://dx.doi.org/10.1142/s0217732318502395.
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