Papers

NECULAI ANDREI Home Page.

ISI Thomson Papers (peer reviewed)

· N. Andrei, Accelerated memory-less SR1 method with generalized secant equation for unconstrained optimization.
CALCOLO (2022) 59:16 (pages 1-20) (Impact Factor: 2.157) (DOI : 10.1007/s10092-022-00460-x)

· N. Andrei, A note on memory-less SR1 and memory-less BFGS methods for large-scale unconstrained optimization.
Numerical Algorithms 2021, Vol. 90, (pages 223-240) (Impact Factor: 3.041) (DOI:10.1007/s11075-021-01185-8)

· N. Andrei, A new accelerated diagonal quasi-Newton updating method with scaled forward finite differences directional derivative for unconstrained optimization.
Optimization 2021, Vol. 70, Issue 2 (pages 345-360) (https://doi.org/10.1080/02331934.2020.1712391)

· N. Andrei, New conjugate gradient algorithms based on self-scaling memoryless Broyden-Fletcher-Goldfarb-Shanno method.
CALCOLO, vol. 57, Issue 2, June 2020, Article number 17. (http://doi.org/101007/s10092-020-00365-7)

· N. Andrei, Diagonal Approximation of the Hessian by Finite Differences for Unconstrained Optimization.
Journal of Optimization Theory and Applications 2020, vol. 185, Issue 3, pp. 859-879

· N. Andrei, A diagonal quasi-Newton updating method for unconstrained optimization.
Numerical Algorithms. vol. 81, pp. 575–590 (2019)

· N. Andrei, A new diagonal quasi-Newton updating method with scaled forward finite differences directional derivative for unconstrained optimization.
Numerical Functional Analysis and Optimization, Vol. 40, 2019, pp. 1467-1488.

· N. Andrei, A Double-Parameter Scaling Broyden–Fletcher–Goldfarb–Shanno Method Based on Minimizing the Measure Function of Byrd and Nocedal for Unconstrained Optimization. (JOTA) Journal of Optimization Theory and Applications, 178(1) (2018) pp. 191-218.

· N. Andrei, A double parameter scaled modified Broyden-Fletcher-Goldfarb-Shanno method for unconstrained optimization.
Studies in Informatics and Control, Vol. 27, Issue 2, 2018, pp. 135-146

· N. Andrei, A diagonal quasi-Newton updating method based on minimizing the measure function of Byrd and Nocedal for unconstrained optimization.
Optimization. A Journal of Mathematical Programming and Operations Research, vol.67, issue 9, 2018, pp. 1553-1568

· N. Andrei, An adaptive scaled BFGS method for unconstrained optimization.
Numerical Algorithms. 77 (2) (2018) pp. 413-432. DOI: 10.1007/s11075-017-0321-1

· N. Andrei, A double parameter scaled BFGS method for unconstrained optimization.
Journal of Computational and Applied Mathematics. 332 (2018) pp. 26-44.

· N. Andrei, A Dai-Liao conjugate gradient algorithm with clustering of eigenvalues.
Numerical Algorithms 77 (4) (2018) pp. 1273-1282. DOI 10.1007/s11075-017-0362-5

· N. Andrei, Accelerated adaptive Perry conjugate gradient algorithms based on the self-scaling memoryless BFGS update.
Journal of Computational and Applied Mathematics, 325 (2017) pp. 149-164.

· N. Andrei, Eigenvalues versus singular values study in conjugate gradient algorithms for large-scale unconstrained optimization.
Optimization Methods and Software, vol. 32, No. 3, 2017, pp. 534-551.
DOI: 10.1080/10556788.2016.1225211.
[This paper is dedicated to Prof. Helmut Schwarz, Duisburg-Essen University, Germany, on the occasion of his 85th birthday.]

· N. Andrei, An adaptive conjugate gradient algorithm for large-scale unconstrained optimization.
Journal of Computational and Applied Mathematics, vol. 292, 2016, pp. 83-91.

· N. Andrei, A new three-term conjugate gradient algorithm for unconstrained optimization.
Numerical Agorithms, vol. 68, issue 2, 2015, pp. 305-321.

· N. Andrei, A numerical study on efficiency and robustness of some conjugate gradient algorithms for large-scale unconstrained optimization.
Studies in Informatics and Control, vol. 22, Issue 4, December 2013, pp. 259-284.

·        N. Andrei, An accelerated subspace minimization three-term conjugate gradient algorithm for unconstrained optimization.
Numerical Algorithms. vol. 65, issue 4, 2014, pp. 859-874.

·        N. Andrei, Another conjugate gradient algorithm with guaranteed descent and conjugacy conditions for large-scale unconstrained optimization.
Journal of Optimization Theory and Applications. vol. 159 (2013), pp. 159-182. DOI 10.1007/s10957-013-0285-9 (2013)

·        N. Andrei, On three-term conjugate gradient algorithms for unconstrained optimization.
Applied Mathematics and Computation, vol. 210, Issue 11, 1 February 2013, pp. 6316-6327.

·        N. Andrei, A simple three-term conjugate gradient algorithm for unconstrained optimization.
Journal of Computational and Applied Mathematics. vol. 241 (2013), pp. 19-29.
[This paper is dedicated to the memory of Neculai Gheorghiu (1930–2009), my professor of Mathematical Analysis, Faculty of Mathematics, " Alexandru Ioan Cuza" University, Iasi, Romania.]

·        N. Andrei, A three-term descent conjugate gradient algorithm using the minimization of the two-parametric quadratic model for large-scale unconstrained optimization.
Annals of Academy of Romanian Scientists, Series on Science and Technology of Information, vol. 8, nr. 1, 2015, pp.5-28.

·        N. Andrei, The quadrupled rational interpretation of Divinity.
Annals of Academy of Romanian Scientists, Series on Science and Technology of Information, vol. 5, nr. 1, 2012, pp.7-14.

· N. Andrei, New accelerated conjugate gradient algorithms as a modification of Dai-Yuan's computational scheme for unconstrained optimization.
Journal of Computational and Applied Mathematics, 234 (2010), pp. 3397-3410.

· N. Andrei, An accelerated conjugate gradient algorithm with guaranteed descent and conjugacy conditions for unconstrained optimization.
Optimization Methods and Software, [Special issue in honour of Professor Florian A. Potra's 60th birthday]
Vol. 27, issue 4-5, (2012), pp. 583-604.

· N. Andrei, A modified Polak-Ribiere-Polyak conjugate gradient algorithm for unconstrained optimization.
Optimization. A Journal of Mathematical Programming and Operations Research, Vol. 60, Issue 12 (2011), pp. 1457-1471.

· N. Andrei, Open problems in conjugate gradient algorithms for unconstrained optimization.
Bulletin of the Malaysian Mathematical Sciences Society. (2) 34 (2) (2011), pp.319-330.

· N. Andrei, Accelerated scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization.
European Journal of Operational Research. Vol. 204, Issue 3, (2010), pp.410-420.

· N. Andrei, Accelerated hybrid conjugate gradient algorithm with modified secant condition for unconstrained optimization.
Numerical Algorithms, 54 (2010), pp.23-46.

· N. Andrei, Accelerated conjugate gradient algorithm with finite difference Hessian/vector product approximation for unconstrained optimization.
Journal of Computational and Applied Mathematics, Vol. 230, Issue 2 (2009) 570-582.

· N. Andrei, Acceleration of conjugate gradient algorithms for unconstrained optimization.
Applied Mathematics and Computation, Volume 213, Issue 2, 15 July 2009, pp. 361-369.

· N. Andrei, Performance profiles of conjugate gradient algorithms for unconstrained optimization.
Encyclopedia of Optimization, Second Edition, 2009, C.A. Floudas and P. Pardalos (Eds.). Vol. P. pp.2938-2953.

· N. Andrei, New hybrid conjugate gradient algorithms for unconstrained optimization.
Encyclopedia of Optimization, Second Edition, 2009, C.A. Floudas and P. Pardalos (Eds.). Vol. N. pp.2560-2571.

· N. Andrei, Another nonlinear conjugate gradient algorithm for unconstrained optimization.
Optimization Methods and Software (OMS). Vol. 24, Issue. 1, February 2009, pp. 89-104.

· N. Andrei,
Accelerated conjugate gradient algorithm with modified secant condition for unconstrained optimization.
Studies in Informatics and Control, vol. 18, No. 3, September 2009, pp.211-232.

· N. Andrei, Hybrid conjugate gradient algorithm for unconstrained optimization.
Journal of Optimization Theory and Applications, Vol. 141, No. 2, May 2009, pp. 249-264.

· N. Andrei,
On quadratic internal model principle in mathematical programming.
Studies in Informatics and Control, vol. 18, No. 4, December 2009, pp.337-348.

· N. Andrei,
A Dai-Yuan conjugate gradient algorithm with sufficient descent and conjugacy condition for unconstrained optimization.
Applied Mathematics Letters (AML), Volume 21, Issue 2, February 2008, pp. 165-171.

· N. Andrei,
Another hybrid conjugate gradient algorithm for unconstrained optimization.
Numerical Algorithms, Vol. 47 (2008), pp. 143-156

· N. Andrei,
A scaled nonlinear conjugate gradient algorithm for unconstrained optimization.
A Journal of Mathematical Programming and Operations Research, Vol. 57, Issue 4, August 2008, pp. 549-570

· N. Andrei,
A hybrid conjugate gradient algorithm for unconstrained optimization as a convex combination of Hestenes-Stiefel and Dai-Yuan.
Studies in Informatics and Control, vol.17, no.1, March 2008, pp. 55-70.

· N. Andrei,
Scaled memoryless BFGS preconditioned conjugate gradient algorithm for Unconstrained Optimization.
Optimization Methods and Software (OMS), Volume 22, Number 4, August 2007, pp. 561-571

· N. Andrei,
A Scaled BFGS preconditioned conjugate gradient algorithm for Unconstrained Optimization.
Applied Mathematics Letters (AML), Vol. 20, Issue 6, (2007), pp. 645-650.

· N. Andrei,
Scaled conjugate gradient algorithms for Unconstrained Optimization.
Computational Optimization and Applications, vol.38, no. 3, September 2007, pp. 401-416

· N. Andrei,
Numerical comparison of conjugate gradient algorithms for unconstrained optimization.
Studies in Informatics and Control, vol.16, no.4, December 2007, pp.333-352.

· N. Andrei,
An acceleration of gradient descent algorithm with backtracking for Unconstrained Optimization.
Numerical Algorithms, volume 42, number 1, May 2006, pp. 63-73.

· N. Andrei,
Performance of Conjugate Gradient Algorithms on some MINPACK-2 Unconstrained Optimization Applications.
Studies in Informatics and Control, vol.15, no.2, June 2006, pp.145-168.

· N. Andrei,
Modern Control Theory - A historical perspective.
Studies in Informatics and Control, vol.10, no.1, March 2006, pp.51-62.

· N. Andrei,
On the complexity of MINOS package for linear programming.
Studies in Informatics and Control, vol.13, no.1, March 2004, pp.35-46.

· N. Andrei,
Obituary, Prof. Dr. Vlad Stefãnitã Ionescu
Studies in Informatics and Control, 2000

· N. Andrei,
Penalty-Barrier algorithms for nonlinear optimization. Preliminary computational results.
Studies in Informatics and Control, vol. 7, no.1, March 1998, pp.15-36.

· N. Andrei,
Predictor-Corrector Interior-Point Methods for Linear Constrained Optimization.
Studies in Informatics and Control, vol.7, no.2, June 1998, pp.155-177.

· N. Andrei,
An Interior Point Algorithm for Nonlinear Programming.
Studies in Informatics and Control, vol.7, no.4, December 1998, pp.365-395.

· N. Andrei,
Application of sparse matrix techniques in GRG algorithm for very large-scale non-linear programming.
Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.32, no.4, 1987, pp.457-464.

· N. Andrei,
Application of sparse matrix techniques to the GRG algorithm for large-scale non-linear programming.
Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.30, no.2, 1985, pp.175-186.

· N. Andrei,
Sparse systems. Digraph exact disturbance rejection.
Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.28, no.4, 1983, pp.405-413.

· N. Andrei,
Temporal decomposition algorithms for large-scale linear dynamic programming problems.
Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.28, no.1, 1983, pp.71-84.

· N. Andrei,
A new computational solution to hierarchical control of the large-scale linear quadratic tracking problem.
Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.27, no.1, 1982, pp.139-152.

· N. Andrei,
Nested decomposition of large-scale multi-stage linear programs.
Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.26, no.2, 1981, pp.291-303.

· N. Andrei,
Nested decomposition of large-scale linear dynamic programming problems.
Rev. Roum. Sci. Techn.-Electrotechn. Et Energ., vol.26, no.1, 1981, pp.99-113.

· N. Andrei,
A new computational solution to linear quadratic tracking problem.
Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.25, no.4, 1980, pp.579-589.

· N. Andrei,
On compensator selection strategies in decentralized systems.
Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.24, no.4, 1979, pp.677-688.

· N. Andrei,
Decentralization and hierarchy control of large-scale systems.
Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.23, no.4, 1978, pp.595-605.

· N. Andrei,
On decentralized systems.
Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.21, no.4, 1976, pp.553-566.

Neculai Andrei, February 2022

NECULAI ANDREI Home Page.

ISI Thomson Papers (peer reviewed)

· N. Andrei, Accelerated memory-less SR1 method with generalized secant equation for unconstrained optimization. CALCOLO (2022) 59:16 (pages 1-20) (Impact Factor: 2.157) (DOI : 10.1007/s10092-022-00460-x)

· N. Andrei, A note on memory-less SR1 and memory-less BFGS methods for large-scale unconstrained optimization. Numerical Algorithms 2021, Vol. 90, (pages 223-240) (Impact Factor: 3.041) (DOI:10.1007/s11075-021-01185-8)

· N. Andrei, A new accelerated diagonal quasi-Newton updating method with scaled forward finite differences directional derivative for unconstrained optimization. Optimization 2021, Vol. 70, Issue 2 (pages 345-360) (https://doi.org/10.1080/02331934.2020.1712391)

· N. Andrei, New conjugate gradient algorithms based on self-scaling memoryless Broyden-Fletcher-Goldfarb-Shanno method. CALCOLO, vol. 57, Issue 2, June 2020, Article number 17. (http://doi.org/101007/s10092-020-00365-7)

· N. Andrei, Diagonal Approximation of the Hessian by Finite Differences for Unconstrained Optimization. Journal of Optimization Theory and Applications 2020, vol. 185, Issue 3, pp. 859-879

· N. Andrei, A diagonal quasi-Newton updating method for unconstrained optimization. Numerical Algorithms. vol. 81, pp. 575–590 (2019)

· N. Andrei, A new diagonal quasi-Newton updating method with scaled forward finite differences directional derivative for unconstrained optimization. Numerical Functional Analysis and Optimization, Vol. 40, 2019, pp. 1467-1488.

· N. Andrei, A Double-Parameter Scaling Broyden–Fletcher–Goldfarb–Shanno Method Based on Minimizing the Measure Function of Byrd and Nocedal for Unconstrained Optimization. (JOTA) Journal of Optimization Theory and Applications, 178(1) (2018) pp. 191-218.

· N. Andrei, A double parameter scaled modified Broyden-Fletcher-Goldfarb-Shanno method for unconstrained optimization. Studies in Informatics and Control, Vol. 27, Issue 2, 2018, pp. 135-146

· N. Andrei, A diagonal quasi-Newton updating method based on minimizing the measure function of Byrd and Nocedal for unconstrained optimization. Optimization. A Journal of Mathematical Programming and Operations Research, vol.67, issue 9, 2018, pp. 1553-1568

· N. Andrei, An adaptive scaled BFGS method for unconstrained optimization. Numerical Algorithms. 77 (2) (2018) pp. 413-432. DOI: 10.1007/s11075-017-0321-1

· N. Andrei, A double parameter scaled BFGS method for unconstrained optimization. Journal of Computational and Applied Mathematics. 332 (2018) pp. 26-44.

· N. Andrei, A Dai-Liao conjugate gradient algorithm with clustering of eigenvalues. Numerical Algorithms 77 (4) (2018) pp. 1273-1282. DOI 10.1007/s11075-017-0362-5

· N. Andrei, Accelerated adaptive Perry conjugate gradient algorithms based on the self-scaling memoryless BFGS update. Journal of Computational and Applied Mathematics, 325 (2017) pp. 149-164.

· N. Andrei, An adaptive conjugate gradient algorithm for large-scale unconstrained optimization. Journal of Computational and Applied Mathematics, vol. 292, 2016, pp. 83-91.

· N. Andrei, A new three-term conjugate gradient algorithm for unconstrained optimization. Numerical Agorithms, vol. 68, issue 2, 2015, pp. 305-321.

· N. Andrei, A numerical study on efficiency and robustness of some conjugate gradient algorithms for large-scale unconstrained optimization. Studies in Informatics and Control, vol. 22, Issue 4, December 2013, pp. 259-284.

· N. Andrei, An accelerated subspace minimization three-term conjugate gradient algorithm for unconstrained optimization. Numerical Algorithms. vol. 65, issue 4, 2014, pp. 859-874.

· N. Andrei, Another conjugate gradient algorithm with guaranteed descent and conjugacy conditions for large-scale unconstrained optimization. Journal of Optimization Theory and Applications. vol. 159 (2013), pp. 159-182. DOI 10.1007/s10957-013-0285-9 (2013)

· N. Andrei, On three-term conjugate gradient algorithms for unconstrained optimization. Applied Mathematics and Computation, vol. 210, Issue 11, 1 February 2013, pp. 6316-6327.

· N. Andrei, A three-term descent conjugate gradient algorithm using the minimization of the two-parametric quadratic model for large-scale unconstrained optimization. Annals of Academy of Romanian Scientists, Series on Science and Technology of Information, vol. 8, nr. 1, 2015, pp.5-28.

· N. Andrei, The quadrupled rational interpretation of Divinity. Annals of Academy of Romanian Scientists, Series on Science and Technology of Information, vol. 5, nr. 1, 2012, pp.7-14.

· N. Andrei, New accelerated conjugate gradient algorithms as a modification of Dai-Yuan's computational scheme for unconstrained optimization. Journal of Computational and Applied Mathematics, 234 (2010), pp. 3397-3410.

· N. Andrei, An accelerated conjugate gradient algorithm with guaranteed descent and conjugacy conditions for unconstrained optimization. Optimization Methods and Software, [Special issue in honour of Professor Florian A. Potra's 60th birthday] Vol. 27, issue 4-5, (2012), pp. 583-604.

· N. Andrei, A modified Polak-Ribiere-Polyak conjugate gradient algorithm for unconstrained optimization. Optimization. A Journal of Mathematical Programming and Operations Research, Vol. 60, Issue 12 (2011), pp. 1457-1471.

· N. Andrei, Open problems in conjugate gradient algorithms for unconstrained optimization. Bulletin of the Malaysian Mathematical Sciences Society. (2) 34 (2) (2011), pp.319-330.

· N. Andrei, Accelerated scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization. European Journal of Operational Research. Vol. 204, Issue 3, (2010), pp.410-420.

· N. Andrei, Accelerated hybrid conjugate gradient algorithm with modified secant condition for unconstrained optimization. Numerical Algorithms, 54 (2010), pp.23-46.

· N. Andrei, Accelerated conjugate gradient algorithm with finite difference Hessian/vector product approximation for unconstrained optimization. Journal of Computational and Applied Mathematics, Vol. 230, Issue 2 (2009) 570-582.

· N. Andrei, Acceleration of conjugate gradient algorithms for unconstrained optimization. Applied Mathematics and Computation, Volume 213, Issue 2, 15 July 2009, pp. 361-369.

· N. Andrei, Performance profiles of conjugate gradient algorithms for unconstrained optimization. Encyclopedia of Optimization, Second Edition, 2009, C.A. Floudas and P. Pardalos (Eds.). Vol. P. pp.2938-2953.

· N. Andrei, New hybrid conjugate gradient algorithms for unconstrained optimization. Encyclopedia of Optimization, Second Edition, 2009, C.A. Floudas and P. Pardalos (Eds.). Vol. N. pp.2560-2571.

· N. Andrei, Another nonlinear conjugate gradient algorithm for unconstrained optimization. Optimization Methods and Software (OMS). Vol. 24, Issue. 1, February 2009, pp. 89-104.

· N. Andrei, Accelerated conjugate gradient algorithm with modified secant condition for unconstrained optimization. Studies in Informatics and Control, vol. 18, No. 3, September 2009, pp.211-232.

· N. Andrei, Hybrid conjugate gradient algorithm for unconstrained optimization. Journal of Optimization Theory and Applications, Vol. 141, No. 2, May 2009, pp. 249-264.

· N. Andrei, On quadratic internal model principle in mathematical programming. Studies in Informatics and Control, vol. 18, No. 4, December 2009, pp.337-348.

· N. Andrei, A Dai-Yuan conjugate gradient algorithm with sufficient descent and conjugacy condition for unconstrained optimization. Applied Mathematics Letters (AML), Volume 21, Issue 2, February 2008, pp. 165-171.

· N. Andrei, Another hybrid conjugate gradient algorithm for unconstrained optimization. Numerical Algorithms, Vol. 47 (2008), pp. 143-156

· N. Andrei, A scaled nonlinear conjugate gradient algorithm for unconstrained optimization. A Journal of Mathematical Programming and Operations Research, Vol. 57, Issue 4, August 2008, pp. 549-570

· N. Andrei, A hybrid conjugate gradient algorithm for unconstrained optimization as a convex combination of Hestenes-Stiefel and Dai-Yuan. Studies in Informatics and Control, vol.17, no.1, March 2008, pp. 55-70.

· N. Andrei, Scaled memoryless BFGS preconditioned conjugate gradient algorithm for Unconstrained Optimization. Optimization Methods and Software (OMS), Volume 22, Number 4, August 2007, pp. 561-571

· N. Andrei, A Scaled BFGS preconditioned conjugate gradient algorithm for Unconstrained Optimization. Applied Mathematics Letters (AML), Vol. 20, Issue 6, (2007), pp. 645-650.

· N. Andrei, Scaled conjugate gradient algorithms for Unconstrained Optimization. Computational Optimization and Applications, vol.38, no. 3, September 2007, pp. 401-416

· N. Andrei, Numerical comparison of conjugate gradient algorithms for unconstrained optimization. Studies in Informatics and Control, vol.16, no.4, December 2007, pp.333-352.

· N. Andrei, An acceleration of gradient descent algorithm with backtracking for Unconstrained Optimization. Numerical Algorithms, volume 42, number 1, May 2006, pp. 63-73.

· N. Andrei, Performance of Conjugate Gradient Algorithms on some MINPACK-2 Unconstrained Optimization Applications. Studies in Informatics and Control, vol.15, no.2, June 2006, pp.145-168.

· N. Andrei, Modern Control Theory - A historical perspective. Studies in Informatics and Control, vol.10, no.1, March 2006, pp.51-62.

· N. Andrei, On the complexity of MINOS package for linear programming. Studies in Informatics and Control, vol.13, no.1, March 2004, pp.35-46.

· N. Andrei, Obituary, Prof. Dr. Vlad Stefãnitã Ionescu Studies in Informatics and Control, 2000

· N. Andrei, Penalty-Barrier algorithms for nonlinear optimization. Preliminary computational results. Studies in Informatics and Control, vol. 7, no.1, March 1998, pp.15-36.

· N. Andrei, Predictor-Corrector Interior-Point Methods for Linear Constrained Optimization. Studies in Informatics and Control, vol.7, no.2, June 1998, pp.155-177.

· N. Andrei, An Interior Point Algorithm for Nonlinear Programming. Studies in Informatics and Control, vol.7, no.4, December 1998, pp.365-395.

· N. Andrei, Application of sparse matrix techniques in GRG algorithm for very large-scale non-linear programming. Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.32, no.4, 1987, pp.457-464.

· N. Andrei, Application of sparse matrix techniques to the GRG algorithm for large-scale non-linear programming. Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.30, no.2, 1985, pp.175-186.

· N. Andrei, Sparse systems. Digraph exact disturbance rejection. Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.28, no.4, 1983, pp.405-413.

· N. Andrei, Temporal decomposition algorithms for large-scale linear dynamic programming problems. Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.28, no.1, 1983, pp.71-84.

· N. Andrei, A new computational solution to hierarchical control of the large-scale linear quadratic tracking problem. Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.27, no.1, 1982, pp.139-152.

· N. Andrei, Nested decomposition of large-scale multi-stage linear programs. Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.26, no.2, 1981, pp.291-303.

· N. Andrei, Nested decomposition of large-scale linear dynamic programming problems. Rev. Roum. Sci. Techn.-Electrotechn. Et Energ., vol.26, no.1, 1981, pp.99-113.

· N. Andrei, A new computational solution to linear quadratic tracking problem. Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.25, no.4, 1980, pp.579-589.

· N. Andrei, On compensator selection strategies in decentralized systems. Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.24, no.4, 1979, pp.677-688.

· N. Andrei, Decentralization and hierarchy control of large-scale systems. Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.23, no.4, 1978, pp.595-605.

· N. Andrei, On decentralized systems. Rev. Roum. Sci. Techn.-Electrotechn. et Energ., vol.21, no.4, 1976, pp.553-566.