Results 1 to 10 of about 2,375 (183)

An optimization derivation of the method of conjugate gradients [PDF]

open access: green, 2020
We give a derivation of the method of conjugate gradients based on the requirement that each iterate minimizes a strictly convex quadratic on the space spanned by the previously observed gradients. Rather than verifying that the search direction has the correct properties, we show that generation of such iterates is equivalent to generation of ...
Ek, David, Forsgren, Anders
openaire   +3 more sources

Spectral CG Algorithm for Solving Fuzzy Non-linear Equations

open access: yesIraqi Journal for Computer Science and Mathematics, 2022
The non-linear conjugate gradient method is a very effective technique for addressing Large-Scale minimization problems, and it has a wide range of applications in Mathematics, Chemistry, Physics, Engineering, and Medicine, etc.
Mezher M. Abed   +2 more
doaj   +1 more source

A New effected Three-Term Hestenes-Stiefel Conjugate-Gradient Method for Solving Unconstrained Optimization Problems

open access: yesTikrit Journal of Pure Science, 2023
In this paper a new three–term Conjugate Gradient (CG) method is suggested, the derivation of the method based on the descent property and conjugacy condition, the global convergence property is analyzed; numerical results indicate that the new proposed
Abbas Y. Al-Bayati   +2 more
doaj   +1 more source

On the solutions to Sylvester‐conjugate periodic matrix equations via iteration

open access: yesIET Control Theory & Applications, 2023
The problem of solving a class of Sylvester‐conjugate periodic matrix equations is investigated in this paper. Utilising conjugate gradient method, an iterative algorithm is provided, from which a matrix sequence can be generated to approximate the ...
Lei Zhang   +5 more
doaj   +1 more source

A Method of Two New Augmented Lagrange Multiplier Versions for Solving Constrained Problems

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2022
One of the more restrictive methods of improvement is the augmented Lagrange method. Two versions are built in the external framework and the internal framework of the proposed method.
Hamsa Th. Saeed Chilmeran   +3 more
doaj   +1 more source

Algorithms of through calculation for damage processes [PDF]

open access: yesКомпьютерные исследования и моделирование, 2018
The paper reviews the existing approaches to calculating the destruction of solids. The main attention is paid to algorithms using a unified approach to the calculation of deformation both for nondestructive and for the destroyed states of the material ...
Nikolay G. Burago, I. S. Nikitin
doaj   +1 more source

Algorithms for calculation damage processes

open access: yesFracture and Structural Integrity, 2019
The paper reviews the existing approaches to calculating the destruction of solids. The main attention is paid to algorithms using a unified approach to the calculation of deformation both for nondestructive and for the destroyed states of the material ...
Nikolay G. Burago   +3 more
doaj   +3 more sources

Application of Laplace Domain Waveform Inversion to Cross-Hole Radar Data

open access: yesRemote Sensing, 2019
Full waveform inversion (FWI) can yield high resolution images and has been applied in Ground Penetrating Radar (GPR) for around 20 years. However, appropriate selection of the initial models is important in FWI because such an inversion is highly ...
Xu Meng, Sixin Liu, Yi Xu, Lei Fu
doaj   +1 more source

Numerical optimization of large-scale monotone equations using the free-derivative spectral conjugate gradient method

open access: yesFrontiers in Applied Mathematics and Statistics
This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the resolution of complex nonlinear problems. This innovative technique ensures global convergence and descent condition supported by carefully considered ...
Ghulam Abbass   +5 more
openaire   +2 more sources

Improved Conjugate Gradient Methods for Unconstrained Minimization Problems and Training Recurrent Neural Network

open access: yesEngineering Reports
This research introduces two conjugate gradient methods, BIV1 and BIV2, designed to enhance the efficiency and performance of unconstrained optimization problems with only first derivative vectors.
Bassim A. Hassan   +3 more
doaj   +1 more source

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