A New Application Programming Interface and a Fortran-like Modeling Language for Evaluating Functions and Specifying Optimization Problems at Runtime
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 4
Abstract
A new application programming interface for evaluating functions and specifying optimization problems at runtime has been developed. The new interface, named FEFAR, uses a simple language named LEFAR. Compared with other modeling languages such as AMPL or OSil, LEFAR is Fortran-like hence easy to learn and use, in particular for Fortran programmers. FEFAR itself is a Fortran subroutine hence easy to be linked to user’s main programs in Fortran language. With FEFAR a developer of optimization solver can provide pre-compiled, self-executable and directly usable software products. FEFAR and LEFAR are already used in some optimization solvers and should be a useful addition to the toolbox of programmers who develop solvers of optimization problems of any type including constrained/unconstrained, linear/nonlinear, smooth/nonsmooth optimization.
Authors and Affiliations
Fuchun Huang
Keywords
Related Articles
- EP ID EP97902
- DOI -
- Views 100
- Downloads 0
Visualization of Input Parameters for Stream and Pathline Seeding
Uncertainty arises in all stages of the visualization pipeline. However, the majority of flow visualization applications convey no uncertainty information to the user. In tools where uncertainty is conveyed, the focus is...
Overview of Service and Deployment Models Offered by Cloud Computing, based on International Standard ISO/IEC 17788
Cloud Computing offers services over the Internet to support business processes, based on deployment models and service, meet business requirements in an efficient and cost-effective. A general context of the types of se...
Adaptive Neuro-Fuzzy Inference Systems for Modeling Greenhouse Climate
The objective of this work was to solve the problem of non linear time variant multi-input multi-output of greenhouse internal climate for tomato seedlings. Artificial intelligent approaches including neural networks and...
Resolution Enhancement by Incorporating Segmentation-based Optical Flow Estimation
In this paper, the problem of recovering a high-resolution frame from a sequence of low-resolution frames is considered. High-resolution reconstruction process highly depends on image registration step. Typical resolutio...
The Group Decision Support System to Evaluate the ICT Project Performance Using the Hybrid Method of AHP, TOPSIS and Copeland Score
This paper proposed a concept of the Group Decision Support System (GDSS) to evaluate the performance of Information and Communications Technology (ICT) Projects in Indonesian regional government agencies to overcome any...