An optimizer is software that implements numerical routines for finding the optimal solution of an optimization problem. Optimization modeling languages have emerged as user-friendly platforms that allow the user to specify optimization problems in a more intuitive generic fashion. Optimization software ...
This study provides an in-depth analysis and practical solution to the problem of designing and implementing a human robot team for simple conversational i... Zheng, K,DF Glas,T Kanda,... - 《IEEE Transactions on Systems Man & Cybernetics Systems》 被引量: 32发表: 2013年 Designing and Im...
Model for implementing a reengineering solution of the production process in a printing housereengineeringprocess managementproduction processprinting industrymathematical modelThe main objective of the present paper is to highlight the importance and impact of the concept of reengineering, both by ...
合理用药调研方法-ImplementingaDrug HOWTODEVELOPANATIONALFORMULARYBASEDONTHE WHOMODELFORMULARY Apracticalguide 3 Dextran70Dextranisarepresentativeplasmasubstitute.Variouspreparationscanserveas alternativesInfusion(Solutionforinfusion),dextran706%inglucoseintravenousinfusion5%or sodiumchlorideintravenousinfusion0.9%Uses:...
Before belief commitments can be computed, the straightforward implementation of Pearl's procedure involves finding an analytical solution to some often difficult optimization problems. We describe an efficient implementation of this procedure using tensor products that solves these problems enumeratively and...
I'm currently trying to solve problem 2069C from a recent Codeforces round and am exploring a dynamic programming approach for it. However, I'm struggling to implement it efficiently. the solution provided by others is indeed a very nice and efficient solution. however, if you want to underst...
Product configurators, also known as tool kits (von Hippel,2001), first appeared in the 1980s (Trentin et al.,2014). A configurator enables consumers to easily and rapidly create their ideal product solution by selecting various options before making their final purchase decision. In essence, ...
When solving a thermal processing problem, such as the heating or cooling of a part, it is desirable to change the heating, or cooling, based upon the computed solution. That is, we may want to include a feedback loop into our model. In this article, we will set up a feedback loop...
In Docker, due to how it uses cgroups, the process you launch is usually process 1. Instead of rewriting all of your processes to have support for reaping and responding to SIGINT, it's easier to write a separate pid1 executable and use it as your Docker entrypoint. The solution from th...
The fast expansion of Internet of Things (IoT) devices in urban environments has resulted in a dramatic increase in both the volume and complexity of data produced, necessitating the implementation of sophisticated data analytics and machine learning met