All Stories

  1. Stable Multilevel Deep Neural Networks for Option Pricing and xVAs Using Forward-Backward Stochastic Differential Equations
  2. Exploring Optimal Pump Scheduling in Water Distribution Networks with Branch and Bound Methods
  3. A Weighted Mirror Descent Algorithm for Nonsmooth Convex Optimization Problem
  4. Demonstrating demand response from water distribution system through pump scheduling
  5. Robust Numerical Calibration for Implied Volatility Expansion Models
  6. MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization
  7. Control of water distribution networks with dynamic DMA topology using strictly feasible sequential convex programming
  8. On Using Spectral Graph Theory to Infer the Structure of Multiscale Markov Processes
  9. Importance Sampling in Stochastic Programming: A Markov Chain Monte Carlo Approach
  10. Approximation of System Components for Pump Scheduling Optimisation
  11. Hydraulic Resilience Index for the Critical Link Analysis of Multi-feed Water Distribution Networks
  12. Optimized Control of Pressure Reducing Valves in Water Distribution Networks with Dynamic Topology
  13. Experimental Investigation of Resilience and Pressure Management in Water Distribution Networks
  14. Adaptive water distribution networks with dynamically reconfigurable topology
  15. Stochastic Optimization of Investment Planning Problems in the Electric Power Industry
  16. A stochastic multiscale model for electricity generation capacity expansion
  17. Singularly Perturbed Markov Decision Processes: A Multiresolution Algorithm
  18. Dynamic Topology in Water Distribution Networks
  19. A Feasibility Study of Host-Level Contention Detection by Guest Virtual Machines
  20. Editorial to computational techniques in management science
  21. On the information-based complexity of stochastic programming
  22. A stochastic minimum principle and an adaptive pathwise algorithm for stochastic optimal control
  23. Sum of Non-Concave Utilities Maximization for MIMO Interference Systems
  24. Editorial
  25. An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty
  26. Solving MRF Minimization by Mirror Descent
  27. Stochastic Optimization of Investment Planning Problems in the Electric Power Industry
  28. Robust portfolio optimization: a conic programming approach
  29. Partitioning procedure for polynomial optimization
  30. Decomposition-based Method for Sparse Semidefinite Relaxations of Polynomial Optimization Problems
  31. Dynamic mean-variance portfolio analysis under model risk
  32. Convergence analysis of a global optimization algorithm using stochastic differential equations
  33. An interior point algorithm for continuous minimax: implementation and computation
  34. An Algorithm for the Global Optimization of a Class of Continuous Minimax Problems
  35. A smoothing algorithm for finite min–max–min problems
  36. A Pricing Mechanism for Resource Management in Grid Computing
  37. Convergence of an Interior Point Algorithm for Continuous Minimax
  38. Mean and variance optimization of non–linear systems and worst–case analysis
  39. Global optimization of robust chance constrained problems
  40. Global optimization of higher order moments in portfolio selection
  41. Computational Assessment of Nested Benders and Augmented Lagrangian Decomposition for Mean-Variance Multistage Stochastic Problems
  42. Linearly Constrained Global Optimization and Stochastic Differential Equations
  43. Global Optimization of the Scenario Generation and Portfolio Selection Problems
  44. Duality Gaps in Nonconvex Optimization
  45. Maximum Entropy and Game Theory
  46. Laplace Method and Applications to Optimization Problems
  47. Global Optimization Algorithms for Financial Planning Problems
  48. Decomposition Algorithms for the Solution of Multistage Mean-Variance Optimization Problems
  49. Algorithms for Minimax and Expected Value Optimization
  50. Threshold Accepting Approach to Improve Bound-based Approximations for Portfolio Optimization