z-logo
open-access-imgOpen Access
A New Non Quadratic Model For Unconstrained Non Linear Optimization
Author(s) -
Basim A. Hassan,
Nidhal Al-Assady
Publication year - 2004
Publication title -
maǧallaẗ al-rāfidayn li-ʿulūm al-ḥāsibāt wa-al-riyāḍiyyāẗ/˜al-œrafidain journal for computer sciences and mathematics
Language(s) - Italian
Resource type - Journals
eISSN - 2311-7990
pISSN - 1815-4816
DOI - 10.33899/csmj.2004.164108
Subject(s) - conjugate gradient method , derivation of the conjugate gradient method , quadratic equation , nonlinear conjugate gradient method , conjugate residual method , quadratic function , mathematics , quadratic unconstrained binary optimization , gradient method , quadratic model , mathematical optimization , quadratic programming , function (biology) , algorithm , computer science , gradient descent , physics , artificial intelligence , statistics , geometry , response surface methodology , quantum mechanics , evolutionary biology , artificial neural network , quantum computer , quantum , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom