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Diagonal Approximation of the Hessian by Finite Differences for Unconstrained Optimization

Journal of optimization theory and applications, 2020-06, Vol.185 (3), p.859-879

Andrei, Neculai

2020

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A new accelerated diagonal quasi-Newton updating method with scaled forward finite differences directional derivative for unconstrained optimization

Optimization, 2021-02, Vol.70 (2), p.345-360

Andrei, Neculai

2021

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Accelerated memory-less SR1 method with generalized secant equation for unconstrained optimization

Calcolo, 2022-06, Vol.59 (2), Article 16

Andrei, Neculai

2022

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A Double-Parameter Scaling Broyden–Fletcher–Goldfarb–Shanno Method Based on Minimizing the Measure Function of Byrd and Nocedal for Unconstrained Optimization

Journal of optimization theory and applications, 2018-07, Vol.178 (1), p.191-218

Andrei, Neculai

2018

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New conjugate gradient algorithms based on self-scaling memoryless Broyden–Fletcher–Goldfarb–Shanno method

Calcolo, 2020-06, Vol.57 (2), Article 17

Andrei, Neculai

2020

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A double parameter self-scaling memoryless BFGS method for unconstrained optimization

Computational & applied mathematics, 2020-09, Vol.39 (3), Article 159

Andrei, Neculai

2020

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New accelerated conjugate gradient algorithms as a modification of Dai–Yuan’s computational scheme for unconstrained optimization

Journal of computational and applied mathematics, 2010-10, Vol.234 (12), p.3397-3410

Andrei, Neculai

2010

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Another hybrid conjugate gradient algorithm for unconstrained optimization

Numerical algorithms, 2008-02, Vol.47 (2), p.143-156

Andrei, Neculai

2008

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A Derivative-Free Two Level Random Search Method for Unconstrained Optimization

Andrei, Neculai

1, 2021

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Andrei, Neculai

1st Edition 2020, 2020

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

Andrei, Neculai

1, 2017

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Accelerated adaptive Perry conjugate gradient algorithms based on the self-scaling memoryless BFGS update

Journal of computational and applied mathematics, 2017-12, Vol.325, p.149-164

Andrei, Neculai

2017

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An adaptive conjugate gradient algorithm for large-scale unconstrained optimization

Journal of computational and applied mathematics, 2016-01, Vol.292, p.83-91

Andrei, Neculai

2016

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A double parameter scaled BFGS method for unconstrained optimization

Journal of computational and applied mathematics, 2018-04, Vol.332, p.26-44

Andrei, Neculai

2018

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A Dai-Liao conjugate gradient algorithm with clustering of eigenvalues

Numerical algorithms, 2018-04, Vol.77 (4), p.1273-1282

Andrei, Neculai

2018

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A simple three-term conjugate gradient algorithm for unconstrained optimization

Journal of computational and applied mathematics, 2013-03, Vol.241, p.19-29

Andrei, Neculai

2013

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A note on memory-less SR1 and memory-less BFGS methods for large-scale unconstrained optimization

Numerical algorithms, 2022-05, Vol.90 (1), p.223-240

Andrei, Neculai

2022

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An adaptive scaled BFGS method for unconstrained optimization

Numerical algorithms, 2018-02, Vol.77 (2), p.413-432

Andrei, Neculai

2018

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On three-term conjugate gradient algorithms for unconstrained optimization

Applied mathematics and computation, 2013-02, Vol.219 (11), p.6316-6327

Andrei, Neculai

2013

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A diagonal quasi-Newton updating method for unconstrained optimization

Numerical algorithms, 2019-06, Vol.81 (2), p.575-590

Andrei, Neculai

2019

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Accelerated scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization

European journal of operational research, 2010-08, Vol.204 (3), p.410-420

Andrei, Neculai

2010

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A New Diagonal Quasi-Newton Updating Method With Scaled Forward Finite Differences Directional Derivative for Unconstrained Optimization

Numerical functional analysis and optimization, 2019-10, Vol.40 (13), p.1467-1488

Andrei, Neculai

2019

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Eigenvalues versus singular values study in conjugate gradient algorithms for large-scale unconstrained optimization

Optimization methods & software, 2017-05, Vol.32 (3), p.534-551

Andrei, Neculai

2017

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A diagonal quasi-Newton updating method based on minimizing the measure function of Byrd and Nocedal for unconstrained optimization

Optimization, 2018-09, Vol.67 (9), p.1553-1568

Andrei, Neculai

2018

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Scaled conjugate gradient algorithms for unconstrained optimization

Computational optimization and applications, 2007-12, Vol.38 (3), p.401-416

Andrei, Neculai

2007

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Diagonal Approximation of the Hessian by Finite Differences for Unconstrained Optimization

A new accelerated diagonal quasi-Newton updating method with scaled forward finite differences directional derivative for unconstrained optimization

Accelerated memory-less SR1 method with generalized secant equation for unconstrained optimization

A Double-Parameter Scaling Broyden–Fletcher–Goldfarb–Shanno Method Based on Minimizing the Measure Function of Byrd and Nocedal for Unconstrained Optimization

New conjugate gradient algorithms based on self-scaling memoryless Broyden–Fletcher–Goldfarb–Shanno method

A double parameter self-scaling memoryless BFGS method for unconstrained optimization

New accelerated conjugate gradient algorithms as a modification of Dai–Yuan’s computational scheme for unconstrained optimization

Another hybrid conjugate gradient algorithm for unconstrained optimization

A Derivative-Free Two Level Random Search Method for Unconstrained Optimization

Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

Accelerated adaptive Perry conjugate gradient algorithms based on the self-scaling memoryless BFGS update

An adaptive conjugate gradient algorithm for large-scale unconstrained optimization

A double parameter scaled BFGS method for unconstrained optimization

A Dai-Liao conjugate gradient algorithm with clustering of eigenvalues

A simple three-term conjugate gradient algorithm for unconstrained optimization

A note on memory-less SR1 and memory-less BFGS methods for large-scale unconstrained optimization

An adaptive scaled BFGS method for unconstrained optimization

On three-term conjugate gradient algorithms for unconstrained optimization

A diagonal quasi-Newton updating method for unconstrained optimization

Accelerated scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization

A New Diagonal Quasi-Newton Updating Method With Scaled Forward Finite Differences Directional Derivative for Unconstrained Optimization

Eigenvalues versus singular values study in conjugate gradient algorithms for large-scale unconstrained optimization

A diagonal quasi-Newton updating method based on minimizing the measure function of Byrd and Nocedal for unconstrained optimization

Scaled conjugate gradient algorithms for unconstrained optimization

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