Статті в журналах з теми "Nonmonotone techniques"
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Toint, Philippe L. "An Assessment of Nonmonotone Linesearch Techniques for Unconstrained Optimization." SIAM Journal on Scientific Computing 17, no. 3 (May 1996): 725–39. http://dx.doi.org/10.1137/s106482759427021x.
Повний текст джерелаRapajić, Sanja, and Zoltan Pap. "Smoothing inexact Newton methods for NCP with various nonmonotone techniques." PAMM 13, no. 1 (November 29, 2013): 385–86. http://dx.doi.org/10.1002/pamm.201310188.
Повний текст джерелаCui, Zhaocheng, Boying Wu, and Shaojian Qu. "Combining nonmonotone conic trust region and line search techniques for unconstrained optimization." Journal of Computational and Applied Mathematics 235, no. 8 (February 2011): 2432–41. http://dx.doi.org/10.1016/j.cam.2010.10.044.
Повний текст джерелаAhmadvand, M., M. Esmaeilbeigi, A. Kamandi, and F. M. Yaghoobi. "A novel hybrid trust region algorithm based on nonmonotone and LOOCV techniques." Computational Optimization and Applications 72, no. 2 (December 13, 2018): 499–524. http://dx.doi.org/10.1007/s10589-018-0051-x.
Повний текст джерелаXiao, Yi, and Eric King-Wah Chu. "A nonmonotone inexact Newton algorithm for nonlinear systems of equations." Journal of the Australian Mathematical Society. Series B. Applied Mathematics 36, no. 4 (April 1995): 460–92. http://dx.doi.org/10.1017/s0334270000007499.
Повний текст джерелаBianconcini, Tommaso, and Marco Sciandrone. "A cubic regularization algorithm for unconstrained optimization using line search and nonmonotone techniques." Optimization Methods and Software 31, no. 5 (March 17, 2016): 1008–35. http://dx.doi.org/10.1080/10556788.2016.1155213.
Повний текст джерелаLi, Chengbo, Charles C. Mosher, and Yongchang Ji. "An amplitude-preserving deblending approach for simultaneous sources." GEOPHYSICS 84, no. 3 (May 1, 2019): V185—V196. http://dx.doi.org/10.1190/geo2018-0240.1.
Повний текст джерелаCandito, Pasquale, Umberto Guarnotta та Roberto Livrea. "Existence of two solutions for singular Φ-Laplacian problems". Advanced Nonlinear Studies 22, № 1 (1 січня 2022): 659–83. http://dx.doi.org/10.1515/ans-2022-0037.
Повний текст джерелаAlzeley, Omar, Ehab M. Almetwally, Ahmed M. Gemeay, Huda M. Alshanbari, E. H. Hafez, and M. H. Abu-Moussa. "Statistical Inference under Censored Data for the New Exponential-X Fréchet Distribution: Simulation and Application to Leukemia Data." Computational Intelligence and Neuroscience 2021 (August 29, 2021): 1–16. http://dx.doi.org/10.1155/2021/2167670.
Повний текст джерелаUllrich, Paul A., Dharshi Devendran, and Hans Johansen. "Arbitrary-Order Conservative and Consistent Remapping and a Theory of Linear Maps: Part II." Monthly Weather Review 144, no. 4 (March 29, 2016): 1529–49. http://dx.doi.org/10.1175/mwr-d-15-0301.1.
Повний текст джерелаBabaie-Kafaki, Saman, and Saeed Rezaee. "A randomized nonmonotone adaptive trust region method based on the simulated annealing strategy for unconstrained optimization." International Journal of Intelligent Computing and Cybernetics 12, no. 3 (August 12, 2019): 389–99. http://dx.doi.org/10.1108/ijicc-12-2018-0178.
Повний текст джерелаDe Bem Francisco, Juliano, and Tiara Martini. "Spectral Projected Gradient Method for the Procrustes Problem." TEMA (São Carlos) 15, no. 1 (July 12, 2014): 083. http://dx.doi.org/10.5540/tema.2014.015.01.0083.
Повний текст джерелаMuse, Abdisalam Hassan, Samuel Mwalili, Oscar Ngesa, Saad J. Almalki, and Gamal A. Abd-Elmougod. "Bayesian and Classical Inference for the Generalized Log-Logistic Distribution with Applications to Survival Data." Computational Intelligence and Neuroscience 2021 (October 11, 2021): 1–24. http://dx.doi.org/10.1155/2021/5820435.
Повний текст джерелаGrippo, L., F. Lampariello, and S. Lucidi. "A Nonmonotone Line Search Technique for Newton’s Method." SIAM Journal on Numerical Analysis 23, no. 4 (August 1986): 707–16. http://dx.doi.org/10.1137/0723046.
Повний текст джерелаOu, Yigui, and Yuanwen Liu. "A memory gradient method based on the nonmonotone technique." Journal of Industrial & Management Optimization 13, no. 2 (2017): 857–72. http://dx.doi.org/10.3934/jimo.2016050.
Повний текст джерелаHuang, Shuai, Zhong Wan, and Xiaohong Chen. "A new nonmonotone line search technique for unconstrained optimization." Numerical Algorithms 68, no. 4 (May 2, 2014): 671–89. http://dx.doi.org/10.1007/s11075-014-9866-4.
Повний текст джерелаYu, Zhensheng, and Dingguo Pu. "A new nonmonotone line search technique for unconstrained optimization." Journal of Computational and Applied Mathematics 219, no. 1 (September 2008): 134–44. http://dx.doi.org/10.1016/j.cam.2007.07.008.
Повний текст джерелаHu, Ping, and Xu-Qing Liu. "A Nonmonotone Line Search Slackness Technique for Unconstrained Optimization." Journal of Optimization Theory and Applications 158, no. 3 (December 29, 2012): 773–86. http://dx.doi.org/10.1007/s10957-012-0247-7.
Повний текст джерелаGao, Jing, Jian Cao, and Yueting Yang. "A Derivative-Free Trust Region Algorithm with Nonmonotone Filter Technique for Bound Constrained Optimization." Mathematical Problems in Engineering 2018 (October 23, 2018): 1–13. http://dx.doi.org/10.1155/2018/5049027.
Повний текст джерелаHan, Congying, Tingting Feng, Guoping He, and Tiande Guo. "Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique." Journal of Applied Mathematics 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/295147.
Повний текст джерелаDiniz-Ehrhardt, M. A., J. M. Martínez, and M. Raydan. "A derivative-free nonmonotone line-search technique for unconstrained optimization." Journal of Computational and Applied Mathematics 219, no. 2 (October 2008): 383–97. http://dx.doi.org/10.1016/j.cam.2007.07.017.
Повний текст джерелаGrippo, L., F. Lampariello, and S. Lucidi. "A quasi-discrete Newton algorithm with a nonmonotone stabilization technique." Journal of Optimization Theory and Applications 64, no. 3 (March 1990): 495–510. http://dx.doi.org/10.1007/bf00939421.
Повний текст джерелаSu, Ke, and Zhensheng Yu. "A modified SQP method with nonmonotone technique and its global convergence." Computers & Mathematics with Applications 57, no. 2 (January 2009): 240–47. http://dx.doi.org/10.1016/j.camwa.2008.05.030.
Повний текст джерелаZhang, Hongchao, and William W. Hager. "A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization." SIAM Journal on Optimization 14, no. 4 (January 2004): 1043–56. http://dx.doi.org/10.1137/s1052623403428208.
Повний текст джерелаHuang, Shuai, Zhong Wan, and Jing Zhang. "An extended nonmonotone line search technique for large-scale unconstrained optimization." Journal of Computational and Applied Mathematics 330 (March 2018): 586–604. http://dx.doi.org/10.1016/j.cam.2017.09.026.
Повний текст джерелаHatamian, Masoud, Mahmoud Paripour, Farajollah Mohammadi Yaghoobi, and Nasrin Karamikabir. "An Adaptive Nonmonotone Line Search Technique for Solving Systems of Nonlinear Equations." Journal of Mathematics 2021 (August 26, 2021): 1–6. http://dx.doi.org/10.1155/2021/7134561.
Повний текст джерелаZhu, Detong. "Trust Region Methods With Nonmonotonic Back Tracking Technique for." Optimization 46, no. 1 (January 1999): 81–113. http://dx.doi.org/10.1080/02331939908844445.
Повний текст джерелаDwail, Hasan H., and Mushtak A. K. Shiker. "Using a trust region method with nonmonotone technique to solve unrestricted optimization problem." Journal of Physics: Conference Series 1664 (November 2020): 012128. http://dx.doi.org/10.1088/1742-6596/1664/1/012128.
Повний текст джерелаWang, Hua, Chao Gu, and Dingguo Pu. "A BFGS trust-region method with a new nonmonotone technique for nonlinear equations." Optimization 64, no. 4 (September 30, 2013): 981–92. http://dx.doi.org/10.1080/02331934.2013.840619.
Повний текст джерелаZhao, Lijuan. "Nonmonotone conic trust region method with line search technique for bound constrained optimization." RAIRO - Operations Research 53, no. 3 (June 24, 2019): 787–805. http://dx.doi.org/10.1051/ro/2017054.
Повний текст джерелаWang, Zhujun, and Detong Zhu. "A nonmonotone filter line search technique for the MBFGS method in unconstrained optimization." Journal of Systems Science and Complexity 27, no. 3 (April 5, 2014): 565–80. http://dx.doi.org/10.1007/s11424-014-1081-9.
Повний текст джерелаMorgenstern, Leora. "Inheritance comes of age: applying nonmonotonic techniques to problems in industry." Artificial Intelligence 103, no. 1-2 (August 1998): 237–71. http://dx.doi.org/10.1016/s0004-3702(98)00073-3.
Повний текст джерелаRAMAMOORTHY, C. V., DANIEL E. COOKE, and CHITTA BARAL. "MAINTAINING THE TRUTH OF SPECIFICATIONS IN EVOLUTIONARY SOFTWARE." International Journal on Artificial Intelligence Tools 02, no. 01 (March 1993): 15–31. http://dx.doi.org/10.1142/s0218213093000035.
Повний текст джерелаZhu, Detong. "A family of improved secant methods via nonmonotone curvilinear paths technique for equality constrained optimization." Journal of Computational and Applied Mathematics 136, no. 1-2 (November 2001): 73–97. http://dx.doi.org/10.1016/s0377-0427(00)00576-8.
Повний текст джерелаSchlechta, Karl. "New techniques and completeness results for preferential structures." Journal of Symbolic Logic 65, no. 2 (June 2000): 719–46. http://dx.doi.org/10.2307/2586565.
Повний текст джерелаAlekseev, A. M., A. M. Konstantinov, and A. V. Pavlov. "Integration of logical and imaginative thinking by Fourier holography techniques: Implementation in nonmonotonic reasoning." Bulletin of the Russian Academy of Sciences: Physics 71, no. 2 (February 2007): 169–74. http://dx.doi.org/10.3103/s1062873807020062.
Повний текст джерелаMo, Jiangtao, Chunyan Liu, and Shicui Yan. "A nonmonotone trust region method based on nonincreasing technique of weighted average of the successive function values." Journal of Computational and Applied Mathematics 209, no. 1 (December 2007): 97–108. http://dx.doi.org/10.1016/j.cam.2006.10.070.
Повний текст джерелаLi, Dan, and Detong Zhu. "An affine scaling interior trust-region method combining with nonmonotone line search filter technique for linear inequality constrained minimization." International Journal of Computer Mathematics 95, no. 8 (May 27, 2017): 1494–526. http://dx.doi.org/10.1080/00207160.2017.1329530.
Повний текст джерелаSu, Ke, and Shibo Tang. "A MODIFIED SQP METHOD WITH NONMONOTONE LINE SEARCH TECHNIQUE WITHOUT A PENALTY OR A FILTER FOR NONLINEAR INEQUALITY CONSTRAINED OPTIMIZATION." Far East Journal of Applied Mathematics 95, no. 4 (November 12, 2016): 249–64. http://dx.doi.org/10.17654/am095040249.
Повний текст джерелаWang, Yun-juan, and De-tong Zhu. "A projected gradient method with nonmonotonic backtracking technique for solving convex constrained monotone variational inequality problem." Applied Mathematics-A Journal of Chinese Universities 23, no. 4 (December 2008): 463–74. http://dx.doi.org/10.1007/s11766-008-1887-0.
Повний текст джерелаEiter, T., M. Fink, T. Krennwallner, C. Redl, and P. Schüller. "Efficient HEX-Program Evaluation Based on Unfounded Sets." Journal of Artificial Intelligence Research 49 (February 26, 2014): 269–321. http://dx.doi.org/10.1613/jair.4175.
Повний текст джерелаHammond, C. R., and G. E. Johnson. "The Method of Alternate Formulations, an Automated Strategy for Optimal Design." Journal of Mechanisms, Transmissions, and Automation in Design 110, no. 4 (December 1, 1988): 459–63. http://dx.doi.org/10.1115/1.3258945.
Повний текст джерелаGautam, Arvind K., and Avinash Chandra. "A computational study of Stillinger–Weber silicon at 0.75 GPa in supercooled region." International Journal of Modern Physics B 32, no. 30 (December 10, 2018): 1850330. http://dx.doi.org/10.1142/s0217979218503307.
Повний текст джерелаWang, Peng, and Detong Zhu. "A derivative-free affine scaling trust region methods based on probabilistic models with new nonmonotone line search technique for linear inequality constrained minimization without strict complementarity." International Journal of Computer Mathematics 96, no. 4 (September 30, 2018): 663–91. http://dx.doi.org/10.1080/00207160.2018.1517208.
Повний текст джерелаEITER, THOMAS, MICHAEL FINK, THOMAS KRENNWALLNER, and CHRISTOPH REDL. "Conflict-driven ASP solving with external sources." Theory and Practice of Logic Programming 12, no. 4-5 (July 2012): 659–79. http://dx.doi.org/10.1017/s1471068412000233.
Повний текст джерелаA.R., Zhangozha. "On techniques of expert systems on the example of the Akinator program." Artificial Intelligence 25, no. 2 (July 15, 2020): 7–13. http://dx.doi.org/10.15407/jai2020.02.007.
Повний текст джерелаWalhorn, Volker, Jan Paskarbeit, Heinrich Gotthard Frey, Alexander Harder, and Dario Anselmetti. "Distance dependence of near-field fluorescence enhancement and quenching of single quantum dots." Beilstein Journal of Nanotechnology 2 (September 29, 2011): 645–52. http://dx.doi.org/10.3762/bjnano.2.68.
Повний текст джерелаPinkas, Gadi. "Symmetric Neural Networks and Propositional Logic Satisfiability." Neural Computation 3, no. 2 (June 1991): 282–91. http://dx.doi.org/10.1162/neco.1991.3.2.282.
Повний текст джерелаShen, Jie, and Juan M. Lorenzo. "Seismic velocity inversion for patchy and homogeneous fluid-distribution conditions in shallow, unconsolidated sands." GEOPHYSICS 81, no. 5 (September 2016): U51—U60. http://dx.doi.org/10.1190/geo2015-0438.1.
Повний текст джерелаOyerinde, Adedayo, Akhil Datta-Gupta, and William J. Milliken. "Experiences With Streamline-Based Three-Phase History Matching." SPE Reservoir Evaluation & Engineering 12, no. 04 (August 5, 2009): 528–41. http://dx.doi.org/10.2118/109964-pa.
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