The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A Class of Globally Convergent Optimization Methods Based on Conservative Convex Separable Approximations
Abstract
This paper deals with a certain class of optimization methods, based on conservative convex separable approximations (CCSA), for solving inequality-constrained nonlinear programming problems. Each generated iteration point is a feasible solution with lower objective value than the previous one, and it is proved that the sequence of iteration points converges toward the set of Karush--Kuhn--Tucker points. A major advantage of CCSA methods is that they can be applied to problems with a very large number of variables (say 10 4 --10 5 ) even if the Hessian matrices of the objective and constraint functions are dense.
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Cites
Practical Methods of Optimization
Fletcher, R. (2000) · Wiley eBooks · doi:10.1002/9781118723203 · Cited by 7,605
Optimization by Vector Space Methods
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Practical methods of optimization
(1988) · Mathematics and Computers in Simulation · doi:10.1016/0378-4754(88)90129-2 · Cited by 5,818
The method of moving asymptotes—a new method for structural optimization
Svanberg, K. (1987) · International Journal for Numerical Methods in Engineering · doi:10.1002/nme.1620240207 · Cited by 5,573
Self-citationNonlinear Programming: Sequential Unconstrained Minimization Techniques
Fiacco, A. V., & McCormick, G. P. (1968) · Defense Technical Information Center (DTIC) · Cited by 2,262
Nonlinear Programming--Sequential Unconstrained Minimization Techniques
Powell, M. J. D. (1969) · The Computer Journal · doi:10.1093/comjnl/12.3.207-a · Cited by 1,757
Practical methods of optimization; (2nd ed.)
Fletcher, R. (1987) · Wiley-Interscience eBooks · Cited by 964
Primal-Dual Interior Methods for Nonconvex Nonlinear Programming
Forsgren, A., & Gill, P. E. (1998) · SIAM Journal on Optimization · doi:10.1137/s1052623496305560 · Cited by 174
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Topology optimization approaches: A comparative review
Sigmund, O., & Maute, K. (2013) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-013-0978-6 · Cited by 2,890
A review about the engineering design of optimal heat transfer systems using topology optimization
Dbouk, T. (2017) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2016.10.134 · Cited by 469
Length scale and manufacturability in density-based topology optimization
Lazarov, B. S., Wang, F., & Sigmund, O. (2016) · Archive of Applied Mechanics · doi:10.1007/s00419-015-1106-4 · Cited by 319
Inverse design enables large-scale high-performance meta-optics reshaping virtual reality
Li, Z., Pestourie, R., Park, J.-S., Huang, Y.-W., Johnson, S. G., & Capasso, F. (2022) · Nature Communications · doi:10.1038/s41467-022-29973-3 · Cited by 280
Topology-Optimized Multilayered Metaoptics
Lin, Z., Groever, B., Capasso, F., Rodriguez, A. W., & Lončar, M. (2018) · Physical Review Applied · doi:10.1103/physrevapplied.9.044030 · Cited by 203
Metadata
- Authors
- Svanberg, K.
- Venue
- SIAM Journal on Optimization
- Published
- 2002-01
- Volume
- 12
- Issue
- 2
- Pages
- 555-573
- ISSN
- 1052-6234 (ISSN-L)
- 1095-7189
- OpenAlex
- W2153245297
- Cited by
- 1,371
- References
- 8
- FWCI
- 5.69
- Type
- journal article
- Language
- en
- Open access
- closed
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