Numerical Algorithms, (Accepted, August 17, 2021)

Optimization, (January 16, 2020) (https://doi.org/10.1080/02331934.2020.1712391)

CALCOLO, vol. 57, Issue 2, June 2020, Article number 17. (http://doi.org/101007/s10092-020-00365-7)

Journal of Optimization Theory and Applications, vol. 185, Issue 3, 2020, pp. 859-879

Numerical Algorithms.

Studies in Informatics and Control, Vol. 27, Issue 2, 2018, pp. 135-146

[This paper is dedicated to Prof. Helmut Schwarz, Duisburg-Essen University, Germany, on the occasion of his 85th birthday.]

Numerical Agorithms, vol. 68, issue 2, 2015, pp. 305-321.

[This paper is dedicated to the memory of Neculai Gheorghiu (1930–2009), my professor of Mathematical Analysis, Faculty of Mathematics, "

Journal of Computational and Applied Mathematics

Applied Mathematics and Computation, Volume 213, Issue 2, 15 July 2009, pp. 361-369.

A Dai-Yuan conjugate gradient algorithm with sufficient descent and conjugacy condition for unconstrained optimization.

Another hybrid conjugate gradient algorithm for unconstrained optimization.

Numerical Algorithms, Vol. 47 (2008), pp. 143-156

A scaled nonlinear conjugate gradient algorithm for unconstrained optimization.

Scaled memoryless BFGS preconditioned conjugate gradient algorithm for Unconstrained Optimization.

A Scaled BFGS preconditioned conjugate gradient algorithm for Unconstrained Optimization.

Scaled conjugate gradient algorithms for Unconstrained Optimization.

An acceleration of gradient descent algorithm with backtracking for Unconstrained Optimization.