Optimization and Its Applications in Control and Data Sciences

1. A New Adaptive Conjugate Gradient Algorithm for Large-Scale Unconstrained Optimization
Neculai Andrei

2. On Methods of Terminal Control with Boundary-Value Problems: Lagrange Approach
Anatoly Antipin, Elena Khoroshilova

3. Optimization of Portfolio Compositions for Small and Medium Price-Taking Traders
Alexander S. Belenky, Lyudmila G. Egorova

4. Indirect Maximum Likelihood Estimation
Daniel Berend, Luba Sapir

5. Lagrangian Duality in Complex Pose Graph Optimization
Giuseppe C. Calafiore, Luca Carlone, Frank Dellaert

6. State-Feedback Control of Positive Switching Systems with Markovian Jumps
Patrizio Colaneri, Paolo Bolzern, José C. Geromel, Grace S. Deaecto

7. Matrix-Free Convex Optimization Modeling
Steven Diamond, Stephen Boyd

8. Invariance Conditions for Nonlinear Dynamical Systems
Zoltán Horváth, Yunfei Song, Tamás Terlaky

9. Modeling of Stationary Periodic Time Series by ARMA Representations
Anders Lindquist, Giorgio Picci

10. A New Two-Step Proximal Algorithm of Solving the Problem of Equilibrium Programming
Sergey I. Lyashko, Vladimir V. Semenov

11. Nonparametric Ellipsoidal Approximation of Compact Sets of Random Points
Sergey I. Lyashko, Dmitry A. Klyushin, Vladimir V. Semenov, Maryna V. Prysiazhna, Maksym P. Shlykov

12. Extremal Results for Algebraic Linear Interval Systems
Daniel N. Mohsenizadeh, Vilma A. Oliveira, Lee H. Keel, Shankar P. Bhattacharyya

13. Applying the Gradient Projection Method to a Model of Proportional Membership for Fuzzy Cluster Analysis
Susana Nascimento

14. Algorithmic Principle of Least Revenue for Finding Market Equilibria
Yurii Nesterov, Vladimir Shikhman

15. The Legendre Transformation in Modern Optimization
Roman A. Polyak

Avainsanat: Mathematics, Optimization, Data Structures, Systems Theory, Control, Dynamical Systems and Ergodic Theory, Algorithms, Mathematical Applications in Computer Science