Font Size: a A A
Keyword [linear complementarity problems]
Result: 21 - 40 | Page: 2 of 3
21. Tor Method And Gsaor The Convergence Of Solutions Of Linear Complementary Problem
22. Moulus-based Synchronous Block Multi-splitting Iteration Methods For Linear Complementarity Problems And Convergence Analysis
23. Research On Algorithm And Application Of Absolute Value Equation
24. Research On Splitting Iterative Methods And Preconditioning Techniques For Linear System Of Equations
25. Research On A Lower Order Penalty Function Algorithm For Two Kinds Of Second-order Cone Linear Complementarity Problems
26. Research On Numerical Algorithm For Linear Complementarity Problem
27. Study On Interior-Point Algorithms In Wide Neighborhoods For Linear Programming And Complementarity Problems
28. Error Bounds For The Linear Complementarity Problem Of Special Matrices
29. Error Bounds For Linear Complementarity Problems Of B-type Matrices
30. Optimal Error Bounds On Linear Complementarity Problems Of Nekrasov Matrices
31. The Study Of Numerical Methods For Solving Linear Complementarity Problems
32. Error Bounds For Linear Complementarity Problems For P-matrices
33. Error Bounds For The Linear Complementarity Problems Of Some Classes Of Structured Matrices
34. Iterative Estimations Of Error Bounds For Linear Complementarity Problems Of B-type Matrices
35. Error Bound Estimation For Linear Complementarity Problems Of Some Special Matrices
36. Algorithm Research On A Class Of Generalized Stochastic Linear Complementarity Problems
37. Applications In Optimization And Highly Oscillatory Integrals For Special Matrices
38. Iterative Algorithms Based On A Sufficient And Necessary Condition Of H-Matrices And Some Special Properties And Applications Of Its Subclasses
39. Modulus-based Matrix Splitting Iteration Methods For Stochastic Complementarity Problems
40. The Upper Bound Of Inverse Matrix Norm Of S-type Strictly Diagonally Dominant Matrix And Its Application In Linear Complementarity Problems
  <<First  <Prev  Next>  Last>>  Jump to