Journal articles on the topic 'CONEX framework'
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Fang, Zheng, and Juwon Seo. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones." Econometrica 89, no. 5 (2021): 2439–58. http://dx.doi.org/10.3982/ecta17764.
Full textWiecek, Margaret M. "Advances in Cone-Based Preference Modeling for Decision Making with Multiple Criteria." Decision Making in Manufacturing and Services 1, no. 2 (October 11, 2007): 153–73. http://dx.doi.org/10.7494/dmms.2007.1.2.153.
Full textKojima, Masakazu, Sunyoung Kim, and Hayato Waki. "A GENERAL FRAMEWORK FOR CONVEX RELAXATION OF POLYNOMIAL OPTIMIZATION PROBLEMS OVER CONES." Journal of the Operations Research Society of Japan 46, no. 2 (2003): 125–44. http://dx.doi.org/10.15807/jorsj.46.125.
Full textOhta, Tomoyuki, Tatsuki Yamazaki, Shinnosuke Murakami, Ryoichi Mukai, and Yoshiaki Kakuda. "Evaluation framework for simulating MANET-based systems." IEICE Communications Express 10, no. 7 (July 1, 2021): 404–8. http://dx.doi.org/10.1587/comex.2021xbl0089.
Full textLewkowicz, Izchak. "Convex invertible cones of matrices — a unified framework for the equations of Sylvester, Lyapunov and Riccati." Linear Algebra and its Applications 286, no. 1-3 (January 1999): 107–33. http://dx.doi.org/10.1016/s0024-3795(98)10164-7.
Full textTaenaka, Yuzo, and Kazuya Tsukamoto. "An efficient traffic management framework for multi-channel wireless backbone networks." IEICE Communications Express 3, no. 3 (2014): 98–103. http://dx.doi.org/10.1587/comex.3.98.
Full textRashid, Saima, Humaira Kalsoom, Zakia Hammouch, Rehana Ashraf, Dumitru Baleanu, and Yu-Ming Chu. "New Multi-Parametrized Estimates Having pth-Order Differentiability in Fractional Calculus for Predominating ℏ-Convex Functions in Hilbert Space." Symmetry 12, no. 2 (February 2, 2020): 222. http://dx.doi.org/10.3390/sym12020222.
Full textSaha, Sourav, Sahibjot Kaur, Jayanta Basak, and Priya Ranjan Sinha Mahapatra. "A Computer Vision Framework for Automated Shape Retrieval." American Journal of Advanced Computing 1, no. 1 (January 1, 2020): 1–15. http://dx.doi.org/10.15864/ajac.1108.
Full textMondal, Sourav, Goutam Das, and Elaine Wong. "An Analytical Cost-Optimal Cloudlet Placement Framework over Fiber-Wireless Networks with Quasi-Convex Latency Constraint." Electronics 8, no. 4 (April 5, 2019): 404. http://dx.doi.org/10.3390/electronics8040404.
Full textSasaki, Sho, Yuichi Miyaji, and Hideyuki Uehara. "A novel framework of routing policy for energy-efficient wireless sensor networks: Progress-based nearest forwarding." IEICE Communications Express 6, no. 3 (2017): 109–14. http://dx.doi.org/10.1587/comex.2016xbl0176.
Full textAl-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.
Full textShaker, Hamid Reza, and 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.
Full textZhu, Hanxin, Tao Yu, Weicong Wu, and Zhuohuan Li. "Distributed Optimal Scheduling of Electricity–Gas–Heating System Based on Improved Alternating Direction Method of Multipliers." Applied Sciences 10, no. 4 (February 11, 2020): 1214. http://dx.doi.org/10.3390/app10041214.
Full textTowle, Eli, and James Luedtke. "Intersection Disjunctions for Reverse Convex Sets." Mathematics of Operations Research 47, no. 1 (February 2022): 297–319. http://dx.doi.org/10.1287/moor.2021.1132.
Full textFlamant, Julien, Sebastian Miron, and 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.
Full textHo-Nguyen, Nam, and Fatma Kılınç-Karzan. "Online First-Order Framework for Robust Convex Optimization." Operations Research 66, no. 6 (November 2018): 1670–92. http://dx.doi.org/10.1287/opre.2018.1764.
Full textBertsekas, Dimitri P., and Huizhen Yu. "A Unifying Polyhedral Approximation Framework for Convex Optimization." SIAM Journal on Optimization 21, no. 1 (January 2011): 333–60. http://dx.doi.org/10.1137/090772204.
Full textEichfelder, Gabriele, and Patrick Groetzner. "A note on completely positive relaxations of quadratic problems in a multiobjective framework." Journal of Global Optimization 82, no. 3 (October 15, 2021): 615–26. http://dx.doi.org/10.1007/s10898-021-01091-2.
Full textTran-Dinh, Quoc, Ling Liang, and Kim-Chuan Toh. "A New Homotopy Proximal Variable-Metric Framework for Composite Convex Minimization." Mathematics of Operations Research 47, no. 1 (February 2022): 508–39. http://dx.doi.org/10.1287/moor.2021.1138.
Full textXu, Hui, Yongguo Yang, Xin Wang, Mingming Liu, Hongxia Xie, and Chujiao Wang. "Multiple Kernel Dimensionality Reduction via Ratio-Trace and Marginal Fisher Analysis." Mathematical Problems in Engineering 2019 (January 14, 2019): 1–8. http://dx.doi.org/10.1155/2019/6941475.
Full textChen, J. "A theoretical framework of regional cone-beam tomography." IEEE Transactions on Medical Imaging 11, no. 3 (1992): 342–50. http://dx.doi.org/10.1109/42.158938.
Full textBenson, T. M., and J. Gregor. "Framework for iterative cone-beam micro-CT reconstruction." IEEE Transactions on Nuclear Science 52, no. 5 (October 2005): 1335–40. http://dx.doi.org/10.1109/tns.2005.858206.
Full textKhan, L. A., and A. B. Thaheem. "Multiplication operators on weighted spaces in the non-locally convex framework." International Journal of Mathematics and Mathematical Sciences 20, no. 1 (1997): 75–79. http://dx.doi.org/10.1155/s0161171297000112.
Full textVrankic, Ilko, and Mira Krpan. "Short Run Profit Maximization in a Convex Analysis Framework." Interdisciplinary Description of Complex Systems 15, no. 1 (2017): 1–15. http://dx.doi.org/10.7906/indecs.15.1.1.
Full textSun, Churen. "Robust convex conic optimization in D-induced duality framework." Journal of Information and Optimization Sciences 29, no. 4 (July 2008): 603–30. http://dx.doi.org/10.1080/02522667.2008.10699824.
Full textRostampour, Vahab, and Tamás Keviczky. "Distributed Computational Framework for Large-Scale Stochastic Convex Optimization." Energies 14, no. 1 (December 23, 2020): 23. http://dx.doi.org/10.3390/en14010023.
Full textTran-Dinh, Quoc, Ahmet Alacaoglu, Olivier Fercoq, and Volkan Cevher. "An adaptive primal-dual framework for nonsmooth convex minimization." Mathematical Programming Computation 12, no. 3 (October 31, 2019): 451–91. http://dx.doi.org/10.1007/s12532-019-00173-3.
Full textBonami, 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, no. 2 (May 2008): 186–204. http://dx.doi.org/10.1016/j.disopt.2006.10.011.
Full textFokkink, Wan, Jun Pang, and Jaco van de Pol. "Cones and foci: A mechanical framework for protocol verification." Formal Methods in System Design 29, no. 1 (June 9, 2006): 1–31. http://dx.doi.org/10.1007/s10703-006-0004-3.
Full textGeorgescu, 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, no. 2 (December 1, 2017): 119–42. http://dx.doi.org/10.1515/awutm-2017-0018.
Full textNazemi, 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, no. 10 (April 15, 2019): 3512–23. http://dx.doi.org/10.1007/s10489-019-01462-z.
Full textEraslan, Oguz, Ozgur Inan, and Asli Secilmis. "The Effect of Framework Design on Stress Distribution in Implant-Supported FPDs: A 3-D FEM Study." European Journal of Dentistry 04, no. 04 (October 2010): 374–82. http://dx.doi.org/10.1055/s-0039-1697856.
Full textAdeyemi, T. A., F. Akusah, A. A. Mebawondu, M. O. Adewole, and O. K. Narain. "THE EXISTENCE OF A SOLUTION OF THE NONLINEAR INTEGRAL EQUATION VIA THE FIXED POINT APPROACH." Advances in Mathematics: Scientific Journal 10, no. 7 (July 19, 2021): 2977–98. http://dx.doi.org/10.37418/amsj.10.7.5.
Full textTri Maryana, Okky Fajar, L. Y. Ginting, F. Pahlawan, and M. Y. Darmawan. "Eksperimen Gangguan Getaran Pada Fenomena Cloaking Cahaya Tampak Sistem Empat Lensa." Journal of Science and Applicative Technology 3, no. 2 (December 31, 2019): 55. http://dx.doi.org/10.35472/jsat.v3i2.213.
Full textPenot, Jean-Paul. "Autoconjugate functions and representations of monotone operators." Bulletin of the Australian Mathematical Society 67, no. 2 (April 2003): 277–84. http://dx.doi.org/10.1017/s0004972700033748.
Full textPrakasvudhisarn, Chakguy, and Shivakumar Raman. "Framework for Cone Feature Measurement Using Coordinate Measuring Machines." Journal of Manufacturing Science and Engineering 126, no. 1 (February 1, 2004): 169–77. http://dx.doi.org/10.1115/1.1644541.
Full textGe Wang and Shiying Zhao. "Feldkamp-type cone-beam tomography in the wavelet framework." IEEE Transactions on Medical Imaging 19, no. 9 (2000): 922–29. http://dx.doi.org/10.1109/42.887839.
Full textZhao, Shiying, Hengyong Yu, and Ge Wang. "A unified framework for exact cone-beam reconstruction formulas." Medical Physics 32, no. 6Part1 (May 25, 2005): 1712–21. http://dx.doi.org/10.1118/1.1869632.
Full textElliott, Robert J., Tak Kuen Siu, and Samuel N. Cohen. "Backward stochastic difference equations for dynamic convex risk measures on a binomial tree." Journal of Applied Probability 52, no. 3 (September 2015): 771–85. http://dx.doi.org/10.1239/jap/1445543845.
Full textElliott, Robert J., Tak Kuen Siu, and Samuel N. Cohen. "Backward stochastic difference equations for dynamic convex risk measures on a binomial tree." Journal of Applied Probability 52, no. 03 (September 2015): 771–85. http://dx.doi.org/10.1017/s0021900200113427.
Full textAl-Sulaiman, Talal, and 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.
Full textBolívar-Nieto, Edgar A., Tyler Summers, Robert D. Gregg, and Siavash Rezazadeh. "A convex optimization framework for robust-feasible series elastic actuators." Mechatronics 79 (November 2021): 102635. http://dx.doi.org/10.1016/j.mechatronics.2021.102635.
Full textBurger, Mathias, Giuseppe Notarstefano, and Frank Allgower. "A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization." IEEE Transactions on Automatic Control 59, no. 2 (February 2014): 384–95. http://dx.doi.org/10.1109/tac.2013.2281883.
Full textMaehara, Takanori, and Kazuo Murota. "A framework of discrete DC programming by discrete convex analysis." Mathematical Programming 152, no. 1-2 (July 2, 2014): 435–66. http://dx.doi.org/10.1007/s10107-014-0792-y.
Full textMazumder, Rahul, Arkopal Choudhury, Garud Iyengar, and Bodhisattva Sen. "A Computational Framework for Multivariate Convex Regression and Its Variants." Journal of the American Statistical Association 114, no. 525 (August 15, 2018): 318–31. http://dx.doi.org/10.1080/01621459.2017.1407771.
Full textGuzman, Yannis A., M. M. Faruque Hasan, and Christodoulos A. Floudas. "Performance of convex underestimators in a branch-and-bound framework." Optimization Letters 10, no. 2 (September 23, 2014): 283–308. http://dx.doi.org/10.1007/s11590-014-0799-6.
Full textAguirre-Hernández, Baltazar, Faustino Ricardo García-Sosa, Carlos Arturo Loredo-Villalobos, Raúl Villafuerte-Segura, and 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.
Full textSigauke, Caston, Murendeni Nemukula, and Daniel Maposa. "Probabilistic Hourly Load Forecasting Using Additive Quantile Regression Models." Energies 11, no. 9 (August 23, 2018): 2208. http://dx.doi.org/10.3390/en11092208.
Full textNazemi, Alireza, and 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, no. 2 (August 12, 2019): 181–203. http://dx.doi.org/10.1080/0952813x.2019.1647559.
Full textDhiman, Gaurav, Sen Guo, and Satnam Kaur. "ED-SHO: A framework for solving nonlinear economic load power dispatch problem using spotted hyena optimizer." Modern Physics Letters A 33, no. 40 (December 28, 2018): 1850239. http://dx.doi.org/10.1142/s0217732318502395.
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