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2. A feasible direction method for the semidefinite program with box constraints
3. Nonlinear conjugate gradient methods with structured secant condition for nonlinear least squares problems
4. A QP-free algorithm without a penalty function or a filter for nonlinear general-constrained optimization.
5. A smoothing Newton method for nonlinear complementarity problems.
6. A new penalty-free-type algorithm based on trust region techniques
7. Convergence of conjugate gradient methods with constant stepsizes.
8. A new globalization technique for nonlinear conjugate gradient methods for nonconvex minimization
9. Solving Several Complex Variables Equations Numerically.
10. A smoothing self-adaptive Levenberg–Marquardt algorithm for solving system of nonlinear inequalities
11. A new feasible descent primal–dual interior point algorithm for nonlinear inequality constrained optimization
12. An improved Wei–Yao–Liu nonlinear conjugate gradient method for optimization computation
13. A new trust-region method with line search for solving symmetric nonlinear equations.
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