Neculai Andrei

According to our database1, Neculai Andrei authored at least 30 papers between 1985 and 2020.

Collaborative distances:
  • no known Dijkstra number2.
  • no known Erdős number3.

Timeline

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PhD thesis 
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Bibliography

2020
Diagonal Approximation of the Hessian by Finite Differences for Unconstrained Optimization.
J. Optim. Theory Appl., 2020

2019
A diagonal quasi-Newton updating method for unconstrained optimization.
Numer. Algorithms, 2019

2018
A Dai-Liao conjugate gradient algorithm with clustering of eigenvalues.
Numer. Algorithms, 2018

An adaptive scaled BFGS method for unconstrained optimization.
Numer. Algorithms, 2018

A Double-Parameter Scaling Broyden-Fletcher-Goldfarb-Shanno Method Based on Minimizing the Measure Function of Byrd and Nocedal for Unconstrained Optimization.
J. Optim. Theory Appl., 2018

A double parameter scaled BFGS method for unconstrained optimization.
J. Comput. Appl. Math., 2018

2017
Eigenvalues versus singular values study in conjugate gradient algorithms for large-scale unconstrained optimization.
Optim. Methods Softw., 2017

Accelerated adaptive Perry conjugate gradient algorithms based on the self-scaling memoryless BFGS update.
J. Comput. Appl. Math., 2017

2016
An adaptive conjugate gradient algorithm for large-scale unconstrained optimization.
J. Comput. Appl. Math., 2016

2015
A new three-term conjugate gradient algorithm for unconstrained optimization.
Numer. Algorithms, 2015

2014
An accelerated subspace minimization three-term conjugate gradient algorithm for unconstrained optimization.
Numer. Algorithms, 2014

2013
Another Conjugate Gradient Algorithm with Guaranteed Descent and Conjugacy Conditions for Large-scale Unconstrained Optimization.
J. Optim. Theory Appl., 2013

A simple three-term conjugate gradient algorithm for unconstrained optimization.
J. Comput. Appl. Math., 2013

On three-term conjugate gradient algorithms for unconstrained optimization.
Appl. Math. Comput., 2013

2012
An accelerated conjugate gradient algorithm with guaranteed descent and conjugacy conditions for unconstrained optimization.
Optim. Methods Softw., 2012

2010
Accelerated hybrid conjugate gradient algorithm with modified secant condition for unconstrained optimization.
Numer. Algorithms, 2010

New accelerated conjugate gradient algorithms as a modification of Dai-Yuan's computational scheme for unconstrained optimization.
J. Comput. Appl. Math., 2010

Accelerated scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization.
Eur. J. Oper. Res., 2010

2009
Performance Profiles of Conjugate-Gradient Algorithms for Unconstrained Optimization.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

New Hybrid Conjugate Gradient Algorithms for Unconstrained Optimization.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Another nonlinear conjugate gradient algorithm for unconstrained optimization.
Optim. Methods Softw., 2009

Acceleration of conjugate gradient algorithms for unconstrained optimization.
Appl. Math. Comput., 2009

2008
Another hybrid conjugate gradient algorithm for unconstrained optimization.
Numer. Algorithms, 2008

A Dai-Yuan conjugate gradient algorithm with sufficient descent and conjugacy conditions for unconstrained optimization.
Appl. Math. Lett., 2008

2007
Scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization.
Optim. Methods Softw., 2007

Scaled conjugate gradient algorithms for unconstrained optimization.
Comput. Optim. Appl., 2007

A scaled BFGS preconditioned conjugate gradient algorithm for unconstrained optimization.
Appl. Math. Lett., 2007

2006
An acceleration of gradient descent algorithm with backtracking for unconstrained optimization.
Numer. Algorithms, 2006

1994
Introduction.
Comput. Optim. Appl., 1994

1985
Sparse systems: digraph approach of large-scale linear systems theory.
PhD thesis, 1985


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