Nonlinear Conjugate Gradient Methods for Unconstrained Optimization
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Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-030-42950-8
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Citations
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Cited by:
- Tiantian Zhao & Wei Hong Yang, 2023. "A Nonlinear Conjugate Gradient Method Using Inexact First-Order Information," Journal of Optimization Theory and Applications, Springer, vol. 198(2), pages 502-530, August.
- Abubakar, Auwal Bala & Kumam, Poom & Malik, Maulana & Ibrahim, Abdulkarim Hassan, 2022. "A hybrid conjugate gradient based approach for solving unconstrained optimization and motion control problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 201(C), pages 640-657.
- Vladimir Rakočević & Milena J. Petrović, 2022. "Comparative Analysis of Accelerated Models for Solving Unconstrained Optimization Problems with Application of Khan’s Hybrid Rule," Mathematics, MDPI, vol. 10(23), pages 1-13, November.
- Wumei Sun & Hongwei Liu & Zexian Liu, 2021. "A Class of Accelerated Subspace Minimization Conjugate Gradient Methods," Journal of Optimization Theory and Applications, Springer, vol. 190(3), pages 811-840, September.
Book Chapters
The following chapters of this book are listed in IDEAS- Neculai Andrei, 2020. "Introduction: Overview of Unconstrained Optimization," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 1-66, Springer.
- Neculai Andrei, 2020. "Linear Conjugate Gradient Algorithm," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 67-87, Springer.
- Neculai Andrei, 2020. "General Convergence Results for Nonlinear Conjugate Gradient Methods," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 89-123, Springer.
- Neculai Andrei, 2020. "Standard Conjugate Gradient Methods," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 125-160, Springer.
- Neculai Andrei, 2020. "Acceleration of Conjugate Gradient Algorithms," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 161-175, Springer.
- Neculai Andrei, 2020. "Hybrid and Parameterized Conjugate Gradient Methods," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 177-204, Springer.
- Neculai Andrei, 2020. "Conjugate Gradient Methods as Modifications of the Standard Schemes," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 205-247, Springer.
- Neculai Andrei, 2020. "Conjugate Gradient Methods Memoryless BFGS Preconditioned," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 249-309, Springer.
- Neculai Andrei, 2020. "Three-Term Conjugate Gradient Methods," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 311-347, Springer.
- Neculai Andrei, 2020. "Preconditioning of the Nonlinear Conjugate Gradient Algorithms," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 349-359, Springer.
- Neculai Andrei, 2020. "Other Conjugate Gradient Methods," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 361-414, Springer.
- Neculai Andrei, 2020. "Discussions, Conclusions, and Large-Scale Optimization," Springer Optimization and Its Applications, in: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, chapter 0, pages 415-431, Springer.
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