247 results on '"Kvasov, Dmitri E."'
Search Results
2. Safe global optimization of expensive noisy black-box functions in the $\delta$-Lipschitz framework
3. Addressing Ill-Conditioning in Global Optimization Using a Software Implementation of the Infinity Computer
4. Safe Global Optimization
5. On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales
6. On Acceleration of Derivative-Free Univariate Lipschitz Global Optimization Methods
7. On numerical methods for black-box constrained global optimization.
8. Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives
9. Deterministic approaches for solving practical black-box global optimization problems
10. A deterministic global optimization using smooth diagonal auxiliary functions
11. Globally-biased BIRECT algorithm with local accelerators for expensive global optimization
12. Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework
13. One-Dimensional Algorithms and Their Acceleration
14. Diagonal Approach and Efficient Diagonal Partitions
15. Global Optimization Algorithms Based on the Non-redundant Partitions
16. Lipschitz Global Optimization
17. Lipschitz gradients for global optimization in a one-point-based partitioning scheme
18. A One-Dimensional Local Tuning Algorithm for Solving GO Problems with Partially Defined Constraints
19. Local tuning and partition strategies for diagonal GO methods
20. Software for Generation of Classes of Test Functions with Known Local and Global Minima for Global Optimization
21. Global Search Based on Efficient Diagonal Partitions and a set of Lipschitz Constants
22. Operational zones for comparing metaheuristic and deterministic one-dimensional global optimization algorithms
23. On the Least-Squares Fitting of Data by Sinusoids
24. Possible extensions to the DIRECT global optimization algorithm based on space-filling and diagonal curves.
25. On Deterministic Diagonal Methods for Solving Global Optimization Problems with Lipschitz Gradients
26. A Generator of Multiextremal Test Classes With Known Solutions for Black-Box-Constrained Global Optimization
27. Derivative-Free Local Tuning and Local Improvement Techniques Embedded in the Univariate Global Optimization
28. Deterministic Global Optimization
29. Univariate Algorithms for Solving Global Optimization Problems with Multiextremal Non-differentiable Constraints
30. Lipschitz gradients for global optimization in a one-point-based partitioning scheme
31. On the Least-Squares Fitting of Data by Sinusoids
32. Globally-biased Disimpl algorithm for expensive global optimization
33. A univariate global search working with a set of Lipschitz constants for the first derivative
34. Multidimensional Lipschitz global optimization based on efficient diagonal partitions
35. A one-dimensional local tuning algorithm for solving GO problems with partially defined constraints
36. Local tuning and partition strategies for diagonal GO methods
37. Algorithm 829: software for generation of classes of test functions with known local and global minima for global optimization
38. Safe global optimization of expensive noisy black-box functions in the $$\delta $$-Lipschitz framework
39. Ill-conditioning provoked by scaling in univariate global optimization and its handling on the infinity computer
40. On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales
41. Foreword to the special issue ‘‘Recent Trends in Numerical Computations: Theory and Algorithms’’
42. Metaheuristic vs. deterministic global optimization algorithms: The univariate case
43. Ill-Conditioning Provoked by Scaling in Univariate Global Optimization and Its Handling on the Infinity Computer.
44. One-dimensional global search: Nature-inspired vs. Lipschitz methods
45. Acceleration techniques in the univariate Lipschitz global optimization
46. Preface: The 2nd International Conference “Numerical Computations: Theory and Algorithms” NUMTA–2016
47. Comments upon the usage of derivatives in Lipschitz global optimization
48. A deterministic global optimization using smooth diagonal auxiliary functions
49. Guest editors’ foreword to the special issue devoted to the international conference “Numerical computations: Theory and Algorithms” June 17–23, 2013, Falerna, Italy
50. Deterministic approaches for solving practical black-box global optimization problems
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