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A DERIVATIVE-FREE TWO LEVEL RANDOM SEARCH
METHOD FOR UNCONSTRAINED OPTIMIZATION
- Neculai Andrei
A Derivative-free Two Level Random Search Method for Unconstrained Optimization
SpringerBriefs in Optimization
Springer Science+Business Media New York 2021
Soft cover ISBN: 978-3-030-68516-4
e-book ISBN: 978-3-030-68517-1
Series ISSN: 2190-8354
DOI: 10.1007/978-3-030-68517-1
Springer New York Heidelberg Dordrecht London
118 + VI pages.
NECULAI ANDREI
A DERIVATIVE-FREE TWO LEVEL RANDOM SEARCH METHOD FOR UNCONSTRAINED OPTIMIZATION
Preface
- Contents
- List of Figures
- List of Tables
- 1. Introduction
- 2. A Derivative-free Two Level Random Search Method for Unconstrained Optimization
- 3. Convergence of the Algorithm
- 4. Numerical Results
- 5. Conclusions
- Annex A. List of applications
- Annex B. List of test functions
- Annex C. Detailed results for 30 large-scale problems
- Annex D. Detailed results for 140 problems