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Initially, the 3C-model was published as the "compensatory model of work motivation and volition". [9] The original title referred to one of the central assumptions of the model, namely that volition compensates for insufficient motivation. Because of the potential confusion with "worker compensation", however, the name was changed to "3C-model."
For example: cash over and beyond what competent people can intelligently expend is wasted. Of the three critical resources, funds should be allocated last. The corporation should firstly allocate management talent, based on the available mono (things): plant, machinery, technology, process know-how and functional strength.
The origins of P-Modeling Framework come from "The Babel Experiment" designed by Vladimir L. Pavlov in 2001 as a training program for software engineering students that was aimed at making students go through a “condensed” version of communication problems typical for software development and gain the experience of applying UML to overcome these problems.
For example, many frameworks provide libraries for database access, template processing and session management, and often promote code reuse. Though they often target development of dynamic websites they are also applicable to static websites. This category lists web frameworks written in and/or designed for use with Python.
Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at University of California, Berkeley. It is open source, under a BSD license. [4] It is written in C++, with a Python interface. [5]
TurboGears is a Python web application framework consisting of several WSGI components such as WebOb, SQLAlchemy, Kajiki template language and Repoze.. TurboGears is designed around the model–view–controller (MVC) architecture, much like Struts or Ruby on Rails, designed to make rapid web application development in Python easier and more maintainable.
For the following definitions, two examples will be used. The first is the problem of character recognition given an array of bits encoding a binary-valued image. The other example is the problem of finding an interval that will correctly classify points within the interval as positive and the points outside of the range as negative.
An example can be found in Lieu et al [30] in which the full order model of an F16 fighter-aircraft with over 2.1 million degrees of freedom, was reduced to a model of just 90 degrees of freedom. Additionally reduced order modeling has been applied to study rheology in hemodynamics and the fluid–structure interaction between the blood flowing ...