Journal of Optimization Theory & Applications Issues Research Articles in January 2025 Edition
January 08, 2025
January 08, 2025
BERLIN, Germany, Jan. 8 -- The Journal of Optimization Theory and Applications, a peer-reviewed journal that says it covers mathematical optimization techniques and their applications to science and engineering, published research articles on the following topics in its January 2025 edition (Vol. 204, Issue 1):
* A PRP Type Conjugate Gradient Method Without Truncation for Nonconvex Vector Optimization
* Accuracy Certificates for Convex Minimization with Inexact Oracle
* A PRP Type Conjugate Gradient Method Without Truncation for Nonconvex Vector Optimization
* Accuracy Certificates for Convex Minimization with Inexact Oracle