CALCOLO (2022) 59:16 (pages 1-20) (Impact Factor: 2.157) (DOI : 10.1007/s10092-022-00460-x)

Numerical Algorithms 2021, Vol. 90, (pages 223-240) (Impact Factor: 3.041) (DOI:10.1007/s11075-021-01185-8)

Optimization 2021, Vol. 70, Issue 2 (pages 345-360) (https://doi.org/10.1080/02331934.2020.1712391)

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

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Accelerated conjugate gradient algorithm with modified secant condition for unconstrained optimization.

On quadratic internal model principle in mathematical programming.

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.

A hybrid conjugate gradient algorithm for unconstrained optimization as a convex combination of Hestenes-Stiefel and Dai-Yuan.

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.

Numerical comparison of conjugate gradient algorithms for unconstrained optimization.

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

Performance of Conjugate Gradient Algorithms on some MINPACK-2 Unconstrained Optimization Applications.

Modern Control Theory - A historical perspective.

On the complexity of MINOS package for linear programming.

Obituary, Prof. Dr. Vlad Stefănită Ionescu

Penalty-Barrier algorithms for nonlinear optimization. Preliminary computational results.

Predictor-Corrector Interior-Point Methods for Linear Constrained Optimization.

An Interior Point Algorithm for Nonlinear Programming.

Application of sparse matrix techniques in GRG algorithm for very large-scale non-linear programming.

Application of sparse matrix techniques to the GRG algorithm for large-scale non-linear programming.

Sparse systems. Digraph exact disturbance rejection.

Temporal decomposition algorithms for large-scale linear dynamic programming problems.

A new computational solution to hierarchical control of the large-scale linear quadratic tracking problem.

Nested decomposition of large-scale multi-stage linear programs.

Nested decomposition of large-scale linear dynamic programming problems.

A new computational solution to linear quadratic tracking problem.

On compensator selection strategies in decentralized systems.

Decentralization and hierarchy control of large-scale systems.

On decentralized systems.