Search Results for "linear program"

The goal of this project is to develop a Data Envelopment Analysis(DEA) program using Stata programming language. This is the replacement of "deastata" project that we maintained for the purpose of version management. We call the program package "DEAS" which stands for Data Envelopment Analysis using Stata. DEAS covers the basic models of DEA and extensions including CCR, BCC, SBM, Super-efficiency Model, Allocative Model(Profit, Revenue, Cost), (Global) Malmquist Productivity Index Model, Imprecise DEA, FDH, Additive Model, Virtual Price Model, linear programming(lp), mixed integer linear programming(MILP), and more...

...Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able to reflect the non-linear cost-behavior, that occurs in most business processes. - This makes your cost estimations more accurate and reliable. - Therefore Cenobi facilitates better informed management decisions. Although Cenobi is particularly suitable for management accounting purposes, it can also be used as a general machine learning tool. The neural networks at the heart of the program are fully object-oriented and therefore highly adaptable. ...