Latest Research in Optimization and Control

Top Research Topics in Optimization and Control

• Probability — 58 papers
• Optimization and Control — 20 papers
• Optimization and Variational Analysis — 18 papers
• Statistics Theory — 11 papers
• Numerical Analysis — 11 papers
• Information Theory — 5 papers
• Functional Analysis — 5 papers
• Advanced Optimization Algorithms Research — 4 papers
• Matrix Theory and Algorithms — 4 papers
• Probability and Risk Models — 3 papers

Highest-Cited Papers

1. State Spaces of Multifactor Approximations of Nonnegative Volterra Processes (2 citations)
2. A Class of Generalized Zulfia Invex Functions with In-Built Structural Emergence
3. The suprema of selector processes with the application to positive infinitely divisible processes
4. Coupled mapping Structure under Zulfia Invexity via Decomposition
5. Emergence of Sufficiency in Optimization: A Zulfia Mapping Approach
6. A New Iterative Method for Generalized Nonexpansive Mappings
7. Coupled mapping Structure under Zulfia Invexity via Decomposition
8. Emergence of Sufficiency in Optimization: A Zulfia Mapping Approach
9. Generalized Invex Functions (Φ-Univexity) in Mathematical Programming
10. Finding New Limit Points of Mahler Measure by Methods of Missing Data Restoration
11. Rank conditions for exactness of semidefinite relaxations in polynomial optimization
12. Percolation Markov Decision Processes
13. Convergence rate of the moment-SOS hierarchy for univariate polynomial optimization
14. Almost-Uniform Bayesian Convergence to the Truth Is Not Characterized by Countable Additivity on Conditional Hitting Times
15. The exact region determined by Spearman's rho and Gini's gamma
16. Inhomogeneous Long-Range First-Passage Percolation in a Random Vertex Environment
17. Point process convergence of large inradii of Poisson-Laguerre tessellations
18. RDT based upper bounds on the largest average submatrix values
19. A probabilistic model of X-ray computed tomography
20. On the continuity of the Tukey depth function for fuzzy data