Dynamic factorization in large-scale optimization
نویسندگان
چکیده
منابع مشابه
Dynamic factorization in large-scale optimization
Factorization of linear programming (LP) models enables a large portion of the LP tableau to be represented implicitly and generatedfrom the remainingexplicit part. Dynamicfactorization admits algebraicelementswhichchangeindimensionduring the courseof solution.A unifyingmathematical framework for dynamic row factorization is presented with three algorithms which derive from differentLP modelrow...
متن کاملDynamic Segmentation for Large-Scale Marketing Optimization
Marketing organizations often design multiple marketing campaigns to meet a variety of objectives. Marketing resources must be allocated carefully across campaigns to minimize conflicts and maximize organizational value (e.g., impact on customer lifetime value). While data-driven analytics has greatly improved the ability to predict the effect of marketing actions on individual customers, such ...
متن کاملDPSim Modelling: Dynamic Optimization in Large Scale Simulation Models
for Proposal: Although it is well established that dynamically optimal policies should be “closed loop” so that policies take into account changing conditions of a system, it is rare for such optimization to actually be carried out in large-scale simulation models. Computational limitations remain a major barrier to the study of dynamically optimal policies. Since the size of dynamic optimizati...
متن کاملA parallel algorithm for large-scale dynamic optimization
In nowadays’ market conditions in the chemical industry, multi-product facilities, either multi-purpose batch processes or continuous processes operated in production campaigns, become more and more common. Hence, the operation of these processes does not only require optimal stationary but also optimal dynamic modes of operation. Dynamic optimization is considered a powerful tool to determine ...
متن کاملSpectral factorization using FFTs for large scale
A method is provided for scalar systems which uses FFTs and provides spectral factorization directly from the periodogram. The method is block recursive, providing better estimates as time progresses with more data available. Although spectral factorization is a mature technique, the current methods available are generally to slow to cope with acoustic problems of the scale discussed here
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Programming
سال: 1994
ISSN: 0025-5610,1436-4646
DOI: 10.1007/bf01582564