Baha Alzalg scite author profile

In this work, we consider giving up smoking dynamic on adolescent nicotine dependence. First, we use the Caputo derivative to develop the model in fractional order. Then we apply two different numerical methods to compute accurate approximate solutions of this new model in fractional order and compare their results. In order to do this, we consider the generalized Euler method (GEM) and multi-step generalized differential transform method (MSGDTM). We also show the unique positive solution for this model and present numerical results graphically.

show abstract

An Infeasible Interior-Point Algorithm for Stochastic Second-Order Cone Optimization

Alzalg

Badarneh

Ababneh

2018

J Optim Theory Appl

View full text Add to dashboard Cite

12 3 4

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Baha Alzalg

Logarithmic barrier decomposition-based interior point methods for stochastic symmetric programming

Stochastic second-order cone programming: Applications models

Homogeneous Self-dual Algorithms for Stochastic Second-Order Cone Programming

Volumetric barrier decomposition algorithms for stochastic quadratic second-order cone programming

The Algebraic Structure of the Arbitrary-Order Cone

Decomposition-based interior point methods for stochastic quadratic second-order cone programming

Approximating a Giving Up Smoking Dynamic on Adolescent Nicotine Dependence in Fractional Order

An Infeasible Interior-Point Algorithm for Stochastic Second-Order Cone Optimization

Contact Info

Product

Resources

About