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1. On Theory Of Projeced Gradient Methods For Convex Constrained Optimization Problems
2. The Modified Lanczos Method For Solving Large-Scale Nonlinear Sparse Optimization Problem
3. The Study Of Filter Methods For Nonlinear Complementarity Problems
4. Trust Region Method For Variational Inequality Problem
5. Research On Algorithms Of Convex Quadratic Programming
6. Nonmonotone Linear Searches And Their Applications In Conjugate Gradient Methods And Quasi-Newton Methods
7. MPRP And TMPRP Type Methods For The Optimization Problems With Nonnegative Constraints
8. A Hybrid Line Search And Global Convergence Of Quasi-Newton Method For Nonlinear Equations
9. Study On Exact Penalty Methods And Quasi-newton Methods With Application To Nonlinear Optimization Problems
10. A New Class Gradient Projection Algorithm Of Convex Quadratic Programming
11. An Efficlent Method For Solving Nenlinear Unconstrained Min-max Problem
12. A Solution Of Lyapunov Equations On The GPU Platform
13. Nonmonotone Step Length Alternating Minimization Algorithm For Solving Robust Principal Component Analysis
14. The Analysis And Research Of The Quasi-newton Algorithm
15. A Class Of Non-monotonic Amendments To The Quasi-newton Algorithm And Its Convergence Analysis
16. Conjugate Gradient Method And Its Application
17. Spectrum On Two Amendments To The Conjugate Gradient Algorithm
18. Solving Unconstrained Optimization Problems Spectral Conjugate Gradient Algorithm
19. A Feasible MBFGS Method For Linearly Constrained Optimization
20. The Convergence Research On Conjugate Gradient Method
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