Optimizing the Gamma Process
نویسندگان
چکیده
منابع مشابه
Interpolating Optimizing Process Control
In this paper a new model-based optimizing controller for a set of nonlinear systems is proposed. The nonlinear model set is based on a convex combination of two bounding linear models. An optimal control sequence is computed for each of the two bounding models. The proposed control algorithm is based on a convex combination of the two control sequences. A novel feature in these two optimizatio...
متن کاملOptimizing Process Model Redesign
In recent years there has been considerable interest in business process redesign. A process model may be redesigned by combining various tasks and services according to best practices so as to satisfy predefined business rules and constraints to achieve a specific purpose. This purpose may be stated in terms of functional goals (such as desired or acceptable process behavior) and non-functiona...
متن کاملModels for optimizing the learning process.
This paper is concerned with showing how certain instructional problems can be reformulated as problems in the mathematical theory of optimization. A common instructional paradigm is outlined and a notational system is proposed which allows the paradigm to be restated as a multistage decision process with an explicit mathematical learning model embedded within it. The notion of an optimal stimu...
متن کاملOptimizing Red Blood Cells Consumption Using Markov Decision Process
In healthcare systems, one of the important actions is related to perishable products such as red blood cells (RBCs) units that its consumption management in different periods can contribute greatly to the optimality of the system. In this paper, main goal is to enhance the ability of medical community to organize the RBCs units’ consumption in way to deliver the unit order timely with a focus ...
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: Biomedical Instrumentation & Technology
سال: 2020
ISSN: 0899-8205,1943-5967
DOI: 10.2345/0899-8205-54.s3.31