- 期刊
A Self-Adjusting Spectral Conjugate Gradient Method for Large-Scale Unconstrained Optimization
延伸閱讀
- Yao, S., Lu, X., & Wei, Z. (2013). A Conjugate Gradient Method with Global Convergence for Large-Scale Unconstrained Optimization Problems. Journal of Applied Mathematics, 2013(), 377-385-638. https://doi.org/10.1155/2013/730454
- Liu, J., & Jiang, Y. (2012). Global Convergence of a Spectral Conjugate Gradient Method for Unconstrained Optimization. Abstract and Applied Analysis, 2012(), 18-29-602. https://doi.org/10.1155/2012/758287
- Zhang, J., Xiao, Y., & Wei, Z. (2009). Nonlinear Conjugate Gradient Methods with Sufficient Descent Condition for Large-Scale Unconstrained Optimization. Mathematical Problems in Engineering, 2009(), 584-599-35. https://doi.org/10.1155/2009/243290
- Jiao, H., Chen, Y. Q., & Cheng, W. X. (2014). A Novel Optimization Method for Nonconvex Quadratically Constrained Quadratic Programs. Abstract and Applied Analysis, 2014(), 657-667-1168. https://doi.org/10.1155/2014/698489
- Lu, Y., Li, W., Cao, M., & Yang, Y. (2014). A Novel Self-Adaptive Trust Region Algorithm for Unconstrained Optimization. Journal of Applied Mathematics, 2014(), 801-808-583. https://doi.org/10.1155/2014/610612