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2. On the Method of Shortest Residuals for Unconstrained Optimization.
3. Highly Accurate Analytic Approximation to the Gaussian Q-function Based on the Use of Nonlinear Least Squares Optimization Algorithm.
4. Coupling the Gradient Method with a General Exterior Penalization Scheme for Convex Minimization.
5. Lanczos Conjugate-Gradient Method and Pseudoinverse Computation on Indefinite and Singular Systems.
6. Modification of theWolfe Line Search Rules to Satisfy the Descent Condition in the Polak-Ribière-Polyak Conjugate Gradient Method.
7. Planar Conjugate Gradient Algorithm for Large-Scale Unconstrained Optimization, Part 1: Theory.
8. An Algorithm for Approximate Multiparametric Linear Programming.
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