1. Gaining or Losing Perspective for Piecewise-Linear Under-Estimators of Convex Univariate Functions

   • Jon Lee
   • Daphne Skipper
   • Luze Xu

   OriginalPaper 21 December 2022 Pages: 1 - 35

   

2. Optimal Pairs Trading Strategies: A Stochastic Mean–Variance Approach

   • Fenghui Yu
   • Wai-Ki Ching
   • Jia-Wen Gu

   OriginalPaper 19 November 2022 Pages: 36 - 55

   

3. A Function Approximation Approach for Parametric Optimization

   • Alberto De Marchi
   • Axel Dreves
   • Sergejs Rogovs

   OriginalPaper Open access 12 December 2022 Pages: 56 - 77

   

4. The Generalized Fermat–Torricelli Problem in Hilbert Spaces

   • Simeon Reich
   • Truong Minh Tuyen

   OriginalPaper 29 September 2022 Pages: 78 - 97

   

5. Pricing and Quality Strategies in Crowdfunding with Network Externality

   • Yang Xu
   • Xu Wang
   • Qiang Zhou

   OriginalPaper 27 October 2022 Pages: 98 - 125

   

6. A Monotonicity Result for Norms in Conjugate Gradient Algorithms

   • Anton Schiela

   OriginalPaper 15 November 2022 Pages: 126 - 146

   

7. Diffusive Limit Approximation of Pure-Jump Optimal Stochastic Control Problems

   • Marc Abeille
   • Bruno Bouchard
   • Lorenzo Croissant

   OriginalPaper 01 December 2022 Pages: 147 - 176

   

8. Coincidence Points of Parameterized Generalized Equations with Applications to Optimal Value Functions

   • Aram V. Arutyunov
   • Boris S. Mordukhovich
   • Sergey E. Zhukovskiy

   OriginalPaper 13 December 2022 Pages: 177 - 198

9. A Modified Michael’s Selection Theorem with Application to Generalized Nash Equilibrium Problem

   • Marco Castellani
   • Massimiliano Giuli

   OriginalPaper Open access 17 September 2022 Pages: 199 - 211

10. A Trust Region Method for Solving Multicriteria Optimization Problems on Riemannian Manifolds

    • N. Eslami
    • B. Najafi
    • S. M. Vaezpour

    OriginalPaper 01 December 2022 Pages: 212 - 239

    

11. S-Derivative of the Extremum Multifunction to a Multi-objective Parametric Discrete Optimal Control Problem

    • Nguyen Thi Toan
    • Le Quang Thuy

    OriginalPaper 12 November 2022 Pages: 240 - 265

12. Momentum-Based Variance-Reduced Proximal Stochastic Gradient Method for Composite Nonconvex Stochastic Optimization

    • Yangyang Xu
    • Yibo Xu

    OriginalPaper 02 December 2022 Pages: 266 - 297

    

13. Convergence Rates for the Relaxed Peaceman-Rachford Splitting Method on a Monotone Inclusion Problem

    • Chee-Khian Sim

    OriginalPaper Open access 02 December 2022 Pages: 298 - 323

    

14. Riemannian Stochastic Variance-Reduced Cubic Regularized Newton Method for Submanifold Optimization

    • Dewei Zhang
    • Sam Davanloo Tajbakhsh

    OriginalPaper 07 December 2022 Pages: 324 - 361

    

15. Customized Alternating Direction Methods of Multipliers for Generalized Multi-facility Weber Problem

    • Jianlin Jiang
    • Liyun Ling
    • Yibing Lv

    OriginalPaper 27 November 2022 Pages: 362 - 389