Results 71 to 80 of about 76,450 (224)

A New Conjugate Gradient for Efficient Unconstrained Optimization with Robust Descent Guarantees

Wasit Journal of Computer and Mathematics Science
The Conjugate Gradient method is a powerful iterative algorithm aims to find the minimum of a function by iteratively searching along conjugate directions.
Hussein Saleem Ahmed
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A solution method for nonlinear monotone equations via hybrid spectral conjugate gradient and signal recovery problems [PDF]

, 2023
Aliyu Yusuf, Nibron Haggai Manjak, Hassan Mohammad, Aliyu Ibrahim Kiri, Auwal Bala Abubakar   +4 more
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Modified new conjugate gradient method for Unconstrained Optimization

Tikrit Journal of Pure Science, 2019
The current paper modified method of conjugate gradient for solving problems of unconstrained optimization. The modified method convergence is achieved by assuming some hypotheses.
Zeyad M. Abdullah, Hameed M, Sadeq, Hisham M, Azzam, Mundher A. Khaleel   +3 more
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An efficient hybrid conjugate gradient method for unconstrained optimization and image restoration problems [PDF]

Iranian Journal of Numerical Analysis and Optimization
The conjugate gradient (CG) method is an optimization technique known for its rapid convergence; it has blossomed into significant developments and applications.
C. Souli, R. Ziadi, I. Lakhdari, A. Leulmi   +3 more
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Nonlinear conjugate gradient methods: worst-case convergence rates via computer-assisted analyses [PDF]

, 2023
Shuvomoy Das Gupta, Robert M. Freund, Xu Andy Sun, Adrien Taylor   +3 more
openalex   +1 more source

New Proposed Conjugate Gradient Method for Nonlinear Unconstrained Optimization

Science Journal of University of Zakho, 2016
In this paper, we suggest a new conjugate gradient method for unconstrained optimization by using homotopy theory. Our suggestion algorithm satisfies the conjugacy and descent conditions.
Salah G. Shareef, Dlovan H. Omar
doaj  

An improved conjugate gradient algorithm by adapting a new line search technique

Electronic Research Archive
The conjugate gradient (CG) method is an optimization technique known for its rapid convergence; it has blossomed into significant developments and applications.
Asma Maiza, Raouf Ziadi, Mohammed A. Saleh, Abdulgader Z. Almaymuni   +3 more
doaj   +1 more source

A Novel Conjugate Gradient Algorithm as a Convex Combination of Classical Conjugate Gradient Methods

Kurdistan Journal of Applied Research
Conjugate gradient (CG) algorithms are constructive for handling large-scale nonlinear optimization problems. One optimization technique intended to address unconstrained optimization issues effectively is the hybrid conjugate gradient (HCG) algorithm ...
Sara Sahib Mohammed Zaki, Hawraz Nadhim Jabbar , Sozan Saber Haider   +2 more
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Efficiency of unconstrained minimization techniques in nonlinear analysis [PDF]

Unconstrained minimization algorithms have been critically evaluated for their effectiveness in solving structural problems involving geometric and material nonlinearities.
Kamat, M. P., Knight, N. F., Jr.
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An improved convex constrained conjugate gradient descent method for nonlinear monotone equations with signal recovery applications

AIMS Mathematics
The conjugate descent (CD) method is a conjugate gradient (CG) variant with remarkable convergence properties. This paper presents a modified CD scheme for solving systems of constrained monotone nonlinear equations. Eigenvalue analysis demonstrates that
Habibu Abdullahi, A. K. Awasthi, Mohammed Yusuf Waziri, Issam A. R. Moghrabi, Abubakar Sani Halilu, Kabiru Ahmed, Sulaiman M. Ibrahim, Yau Balarabe Musa, Elissa M. Nadia   +8 more
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