All Stories

  1. Higher order curvature information and its application in a modified diagonal Secant method
  2. On the Application of Three-Term Conjugate Gradient Method in Regression Analysis
  3. Limited Memory Methods with Improved Symmetric Rank-one Updates and Its Applications on Nonlinear Image Restoration
  4. Quasi-Newton methods based on ordinary differential equation approach for unconstrained nonlinear optimization
  5. International Conference on Mathematical Sciences and Statistics 2013
  6. Approximate Newton-type methods via theory of control
  7. Conjugate gradient methods with sufficient descent condition for large-scale unconstrained optimization
  8. Preconditioning on subspace quasi-Newton method for large scale unconstrained optimization
  9. On Exponential Stability of Stochastic Control Systems
  10. The CG-BFGS method for unconstrained optimization problems
  11. The Hybrid BFGS-CG Method in Solving Unconstrained Optimization Problems
  12. Multi-Criteria Based Algorithm for Scheduling Divisible Load
  13. A notion of stability in probability of stochastic nonlinear systems
  14. A class of diagonal preconditioners for limited memory BFGS method
  15. Convergence and Stability of Line Search Methods for Unconstrained Optimization
  16. Preface: Proceedings of the International Conference on Mathematical Sciences and Statistics (ICMSS2013)
  17. On Exponential Stability of Composite Stochastic Control Systems
  18. Diagonal Hessian Approximation for Limited Memory Quasi-Newton via Variational Principle
  19. Scaled Diagonal Gradient-Type Method with Extra Update for Large-Scale Unconstrained Optimization
  20. On the Asymptotical and Practical Stability of Stochastic Control Systems
  21. On the performance of a new symmetric rank-one method with restart for solving unconstrained optimization problems
  22. A new class of nonlinear conjugate gradient coefficients with global convergence properties
  23. Accumulative Approach in Multistep Diagonal Gradient‐Type Method for Large‐Scale Unconstrained Optimization
  24. A Genetic Algorithm with Fuzzy Crossover Operator and Probability
  25. Scaled memoryless symmetric rank one method for large-scale optimization
  26. A matrix-free quasi-Newton method for solving large-scale nonlinear systems
  27. Meeting the Desired Project Completion Time by Stretching Critical Activities
  28. Structured symmetric rank-one method for unconstrained optimization
  29. A symmetric rank-one method based on extra updating techniques for unconstrained optimization
  30. A Comparative Study on Time-cost Trade-off Approaches within Critical Path Method
  31. An improved multi-step gradient-type method for large scale optimization
  32. A new gradient method via least change secant update
  33. New quasi-Newton methods via higher order tensor models
  34. Improved Hessian approximation with modified secant equations for symmetric rank-one method
  35. A Low Memory Solver for Integral Equations of Chandrasekhar Type in the Radiative Transfer Problems
  36. Convergence of Symmetric Rank-One method based on Modified Quasi-Newton equation
  37. A new two-step gradient-type method for large-scale unconstrained optimization
  38. A new gradient method via quasi-Cauchy relation which guarantees descent
  39. Scaled memoryless BFGS preconditioned steepest descent method for very large-scale unconstrained optimization
  40. A restarting approach for the symmetric rank one update for unconstrained optimization