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An Iterative Procedure for Computing the Minimum of a Quadratic Form on a Convex Set
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“Based on the evaluation, the cascade technique was able to outperform this while maintaining comparable accuracy.”
From Embedded Intelligence on FPGA: Survey, Applications and Challenges (2021) · cites this paper as [11]
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Cites
An algorithm for quadratic programming
Frank, M., & Wolfe, P. (1956) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800030109 · Cited by 3,030
Convex programming in Hilbert space
Goldstein, A. A. (1964) · Bulletin of the American Mathematical Society · doi:10.1090/s0002-9904-1964-11178-2 · Cited by 633
Eggleston, H. G. (1958) · Cambridge University Press eBooks · doi:10.1017/cbo9780511566172 · Cited by 431
The existence of optimal controls in the absence of convexity conditions
Neustadt, L. W. (1963) · Journal of Mathematical Analysis and Applications · doi:10.1016/0022-247x(63)90081-7 · Cited by 161
Synthesizing time optimal control systems
Neustadt, L. W. (1960) · Journal of Mathematical Analysis and Applications · doi:10.1016/0022-247x(60)90015-9 · Cited by 143
Minimum Effort Control Systems
Neustadt, L. W. (1962) · SIAM Journal on Control · doi:10.1137/0301002 · Cited by 78
An iterative solution to time-optimal control
Eaton, J. H. (1962) · Journal of Mathematical Analysis and Applications · doi:10.1016/s0022-247x(62)80015-8 · Cited by 74
A Successive Approximation Technique for Optimal Control Systems Subject to Input Saturation
Ho, Y. (1962) · Journal of Basic Engineering · doi:10.1115/1.3657263 · Cited by 35
Computational Aspects of the Time-Optimal Control Problem
Fadden, E. J., & Gilbert, E. G. (1964) · Elsevier eBooks · doi:10.1016/b978-1-4831-9812-5.50013-8 · Cited by 25
Self-citationIterative computation procedures for an optimum control problem
Fancher, P. S. (1965) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1965.1098170 · Cited by 11
Research works printed but not linked: 2
- Barr Robert O., 1967, Automatic and remote control III (Proc. Third Congr. Internat. Federation Automat. Control (IFAC), London, 1966), Vol. 1, p. 47, Paper 24D, 9
- L. W. Neustadt, On synthesizing optimal controls, Proceedings of Second Congress of IFAC, Butterworth, London, 1964
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Wang, J., Tao, Q., & Wang, J. (2002) · Journal of Computer Science and Technology · doi:10.1007/bf02948824 · Cited by 12
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Pearson, T. F., Çetin, A. E., Tewfik, A. H., & Gökmen, V. (2007) · IEEE Signal Processing Magazine · doi:10.1109/msp.2007.361607 · Cited by 11
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LQP: Dominant output feedbacks
Allwright, J. C. (1982) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1982.1103022 · Cited by 9
Multiparty entanglement microscopy of quantum Ising models in one, two, and three dimensions
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Peng, X., & Wang, Y. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.08.089 · Cited by 7
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Pecsvaradi, T., & Narendra, K. S. (1970) · SIAM Journal on Control · doi:10.1137/0308028 · Cited by 7
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Barnes, E. R. (1972) · SIAM Journal on Control · doi:10.1137/0310033 · Cited by 7
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Weng, X. (1992) · Tamkang Journal of Mathematics · doi:10.5556/j.tkjm.23.1992.4543 · Cited by 7
Geometric projection twin support vector machine for pattern classification
Chen, X., & Xiao, Y. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09103-1 · Cited by 6
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Wieśniak, M. (2023) · Scientific Reports · doi:10.1038/s41598-023-46337-z · Cited by 6
Optimal control of time delay parabolic systems
Kowalewski, A. (2001) · Optimization · doi:10.1080/02331930108844560 · Cited by 6
Papadonikolakis, M., & Bouganis, C.-S. (2008) · International Conference on Field Programmable Logic and Applications (FPL) · doi:10.1109/fpl.2008.4629968 · Cited by 6
Positivity embedding for noncolocated and nonsquare flexible structures
Lee, F. C., Flashner, H., & Safonov, M. G. (2005) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.1994.751740 · Cited by 6
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Lee, F. C., Flashner, H., & Safonov, M. G. (1995) · Applied Mathematics and Computation · doi:10.1016/0096-3003(94)00108-g · Cited by 5
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Liu, Z., Liu, J., & Chen, Z. (2009) · Neurocomputing · doi:10.1016/j.neucom.2009.09.005 · Cited by 5
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Nahi, N., & Wheeler, L. (1967) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1967.1098715 · Cited by 5
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Peng, X. (2010) · International Conference on Natural Computation (ICNC) · doi:10.1109/icnc.2010.5583913 · Cited by 5
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Chang, L., Qiao, H., Wan, A., & Keane, J. A. (2006) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2006.281794 · Cited by 5
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Kalantari, B. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1210.7858 · Cited by 5
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Huard, P. (1971) · Revue française d informatique et de recherche opérationnelle Série rouge · doi:10.1051/m2an/197105r100031 · Cited by 5
A generalized Mitchell-Dem'yanov-Malozemov algorithm for one-class support vector machine
Zeng, M., Yang, Y., & Cheng, J. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2016.06.015 · Cited by 4
Theodoridis, S., & Koutroumbas, K. (2006) · Elsevier eBooks · doi:10.1016/b978-012369531-4/50003-2 · Cited by 4
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Kalantari, B. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1904.09854 · Cited by 4
Accelerating conditional gradient methods
Kerdreux, T. (2020) · theses.fr (ABES) · doi:10.70675/efd511fczae84z49fdza671zed9f8eaf0bf1 · Cited by 4
Efficient Quadratic Corrections for Frank-Wolfe Algorithms
Halbey, J., Rakotomandimby, S., Besançon, M., Designolle, S., & Pokutta, S. (2025) · neural information processing systems · doi:10.52202/085713-0819 · Cited by 3
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Lyu, L., Lauand, P., & Witczak‐Krempa, W. (2026) · Physical Review Letters · doi:10.1103/jv51-thxz · Cited by 3
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Approximate solution of a class of singular control problems
Vinter, R. (1974) · Journal of Optimization Theory and Applications · doi:10.1007/bf00934941 · Cited by 3
Exact SVM training by Wolfe's minimum norm point algorithm
Kitamura, M., Takeda, A., & Iwata, S. (2014) · Machine learning for signal processing ... · doi:10.1109/mlsp.2014.6958914 · Cited by 3
Loera, J. A. D., Haddock, J., & Rademacher, L. (2018) · ACM Symposium on Theory of Computing (STOC) · doi:10.1145/3188745.3188820 · Cited by 3
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Algorithms for the optimal loading of recursive neural nets
Chandru, V., Dattasharma, A., Keerthi, S. S., Sancheti, N. K., & Vinay, V. (1995) · NOT FOUND REPOSITORY (Indian Institute of Science Bangalore) · doi:10.5555/313651.313716 · Cited by 2
A fast geometric algorithm for finding the minimum distance between two convex hulls
Kaown, D., & Liu, J. (2009) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2009.5399742 · Cited by 2
A Proximity Algorithm for Support Vector Machine Classification
Sideris, A. V., & Castella, S. E. (2006) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2005.1582527 · Cited by 2
Segmentation of CE videos by finding convex skin
Giritharan, B., Panchakarla, S., & Yuan, X. (2010) · IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) · doi:10.1109/bibmw.2010.5703791 · Cited by 2
Minimax Controls of Uncertain Systems
Witsenhausen, H. S. (1966) · NASA Technical Reports Server (NASA) · Cited by 2
Kowalewski, A., & Miśkowicz, M. (2022) · Pomiary, Automatyka, Robotyka · doi:10.14313/par_246/37 · Cited by 2
A 4–Vector MDM Algorithm for Support Vector Training
Barbero, Á., López, J., & Dorronsoro, J. R. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-87536-9_33 · Cited by 2
Distributed control of a retarded hyperbolic system
Kowalewski, A. (1999) · European Control Conference (ECC) · doi:10.23919/ecc.1999.7099410 · Cited by 2
A Note on the Fixed-Point Method of J. E. Rubio
Gilbert, E. G. (1967) · SIAM Journal on Control · doi:10.1137/0305030 · Cited by 2
Self-citationA Comparison of the Triangle Algorithm and SMO for Solving the Hard Margin ProblemPreprint
Gupta, M., & Kalantari, B. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1611.01856 · Cited by 2
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Polak, E. (1988) · Springer eBooks · doi:10.1007/978-94-009-1413-1_32 · Cited by 2
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Huang, J., Qin, R., Yang, F., & Ding, H. (2022) · International Journal of Computational Geometry & Applications · doi:10.1142/s0218195922500078 · Cited by 1
Malozemov, V. N., Solovyeva, N. A., & Tamasyan, G. S. (2025) · Vestnik St Petersburg University Mathematics · doi:10.1134/s1063454125700050 · Cited by 1
Optimal control with initial state not a priort given and boundary condition involving a delay
Kowalewski, A. (2006) · Springer eBooks · doi:10.1007/bfb0040201 · Cited by 1
The convergence rate of the MDM algorithm
Lopez, J., & Dorronsoro, J. R. (2012) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2012.6252641 · Cited by 1
Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls
Lopez, J., & Dorronsoro, J. R. (2011) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2011.6033251 · Cited by 1
Numerical methods for control optimization in linear systems
Tyatyushkin, A. I. (2015) · Computational Mathematics and Mathematical Physics · doi:10.1134/s0965542515050152 · Cited by 1
Geometric Incremental Support Vector Machine for Object Detection from Capsule Endoscopy Videos
Yuan, X., Giritharan, B., Abouelenien, M., Liu, J., & Yuan, X. (2013) · SPIE eBooks · doi:10.1117/3.1002311.ch6 · Cited by 1
Performance Comparison of FPGA based Linear SVMS Classifier and Computer Simulation
Singh, M. K., Jhariya, D. K., Singh, R., & Upadhyay, A. (2023) · International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS) · doi:10.1109/pcems58491.2023.10136096 · Cited by 1
Boundary control of retarded parabolic systems
Krakowiak, A. (2011) · Control and Cybernetics · Cited by 1
Function space approach to a class of stochastic optimal control problems
Luh, J. Y. S., & Lukas, M. P. (1970) · Journal of Optimization Theory and Applications · doi:10.1007/bf00928298 · Cited by 1
On the design of optimal stochastic terminal control systems
Horing, S. (1969) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1969.1099109 · Cited by 1
A Novel Geometric Approach for Outlier Recognition in High DimensionPreprint
Ding, H., & Ye, M. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1804.09653 · Cited by 1
SVM via Saddle Point Optimization: New Bounds and Distributed AlgorithmsPreprint
Huang, L., Jin, Y., & Li, J. (2017) · arXiv (Cornell University) · doi:10.4230/lipics.swat.2018.25 · Cited by 1
Variational Quantum Algorithms for Many-Body SystemsPreprint
Consiglio, M. (2025) · arXiv (Cornell University) · doi:10.48550/arxiv.2502.11985 · Cited by 1
Fate of Quantum MagicPreprint
Lyu, L., Sørensen, E. S., & Witczak‐Krempa, W. (2026) · arXiv (Cornell University) · doi:10.48550/arxiv.2610.39059 · Cited by 1
Malanowski, K. (1973) · Lecture notes in computer science · doi:10.1007/3-540-06583-0_12
The Advanced Architecture On-board Processor signal processing testbed
Iacoponi, M. J. (1990) · The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology · doi:10.1007/bf00934999
Rank Space Diversity: A Diversity Measure of Base Kernel Matrices
Luo, L., Lin, C., Peng, H., & Zhou, Q. (2007) · International Conference on Control and Automation · doi:10.1109/icca.2007.4376629
A geometric computing method for nonlinear optimal regulator problems with singular arcs
Katz, P. L. (1975) · Journal of Optimization Theory and Applications · doi:10.1007/bf00933338
Optimal control problems of parabolic-hyperbolic systems with integral time delays
Kowalewski, A. (2012) · International Conference on Methods and Models in Automation and Robotics · doi:10.1109/mmar.2012.6347885
Metadata
- Authors
- Gilbert, E. G.
- Corresponding author
- Gilbert, Elmer G.
- Venue
- SIAM Journal on Control
- Published
- 1966-02
- Volume
- 4
- Issue
- 1
- Pages
- 61-80
- ISSN
- 0036-1402 (ISSN-L)
- OpenAlex
- W2063958549
- Cited by
- 230
- References
- 10
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 6 · 2023: 12 · 2022: 6 · 2021: 3 · 2020: 13 · 2019: 4 · 2018: 8 · 2017: 5 · 2016: 8 · 2015: 7 · 2014: 10 · 2013: 3 · 2012: 14
- FWCI
- 7.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- SIAM Journal on Control (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Numerical Analysis › Advanced Optimization Algorithms Research
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Matrix Theory and Algorithms
- Keywords
- quadratic forms, convex sets, minimization, iterative methods, convex optimization
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