Numerical Optimization with Computational Errors
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Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-319-30921-7
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Citations
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Cited by:
- Teodor Chelmuş & Marius Durea & Elena-Andreea Florea, 2019. "Directional Pareto Efficiency: Concepts and Optimality Conditions," Journal of Optimization Theory and Applications, Springer, vol. 182(1), pages 336-365, July.
- Lu-Chuan Ceng & Adrian Petruşel & Ching-Feng Wen & Jen-Chih Yao, 2019. "Inertial-Like Subgradient Extragradient Methods for Variational Inequalities and Fixed Points of Asymptotically Nonexpansive and Strictly Pseudocontractive Mappings," Mathematics, MDPI, vol. 7(9), pages 1-19, September.
Book Chapters
The following chapters of this book are listed in IDEAS- Alexander J. Zaslavski, 2016. "Introduction," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 1-9, Springer.
- Alexander J. Zaslavski, 2016. "Subgradient Projection Algorithm," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 11-40, Springer.
- Alexander J. Zaslavski, 2016. "The Mirror Descent Algorithm," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 41-58, Springer.
- Alexander J. Zaslavski, 2016. "Gradient Algorithm with a Smooth Objective Function," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 59-72, Springer.
- Alexander J. Zaslavski, 2016. "An Extension of the Gradient Algorithm," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 73-84, Springer.
- Alexander J. Zaslavski, 2016. "Weiszfeld’s Method," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 85-103, Springer.
- Alexander J. Zaslavski, 2016. "The Extragradient Method for Convex Optimization," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 105-118, Springer.
- Alexander J. Zaslavski, 2016. "A Projected Subgradient Method for Nonsmooth Problems," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 119-136, Springer.
- Alexander J. Zaslavski, 2016. "Proximal Point Method in Hilbert Spaces," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 137-147, Springer.
- Alexander J. Zaslavski, 2016. "Proximal Point Methods in Metric Spaces," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 149-168, Springer.
- Alexander J. Zaslavski, 2016. "Maximal Monotone Operators and the Proximal Point Algorithm," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 169-181, Springer.
- Alexander J. Zaslavski, 2016. "The Extragradient Method for Solving Variational Inequalities," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 183-203, Springer.
- Alexander J. Zaslavski, 2016. "A Common Solution of a Family of Variational Inequalities," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 205-224, Springer.
- Alexander J. Zaslavski, 2016. "Continuous Subgradient Method," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 225-238, Springer.
- Alexander J. Zaslavski, 2016. "Penalty Methods," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 239-264, Springer.
- Alexander J. Zaslavski, 2016. "Newton’s Method," Springer Optimization and Its Applications, in: Numerical Optimization with Computational Errors, chapter 0, pages 265-296, Springer.
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