Two kinds of conjugate gradient methods for solving nonlinear complementarity problems

التفاصيل البيبلوغرافية
العنوان: Two kinds of conjugate gradient methods for solving nonlinear complementarity problems
المؤلفون: Shouqiang Du, Ajie Chu, Yixiao Su
المصدر: 2015 Chinese Automation Congress (CAC).
بيانات النشر: IEEE, 2015.
سنة النشر: 2015
مصطلحات موضوعية: Nonlinear conjugate gradient method, Mathematical optimization, Conjugate gradient method, Conjugate residual method, Function (mathematics), Derivation of the conjugate gradient method, Gradient descent, Mixed complementarity problem, Gradient method, Mathematics
الوصف: In this paper, we use the Fischer-Burmeister function to reformulate the nonlinear complementarity problems as a system of nonsmooth equation. By analysing the properties of merit function, we propose two kinds of conjugate gradient methods for solving the nonlinear complementarity problems under two Armijo-type line searches. The methods can guarantee the sufficient descent property and the global convergence. Finally, some numerical tests are also given.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::705866c2dc4c79896c931c674123a970
https://doi.org/10.1109/cac.2015.7382479
رقم الأكسشن: edsair.doi...........705866c2dc4c79896c931c674123a970
قاعدة البيانات: OpenAIRE