A special class of continuous general linear methods

A special Class of Stochastic PERT Networks

Considering the network structure is one of the new approaches in studying stochastic PERT networks (SPN). In this paper, planar networks are studied as a special class of networks. Two structural reducible mechanisms titled arc contraction and deletion are developed to convert any planar network to a series-parallel network structure.&#10In series-parallel SPN, the completion time distribution...

A special Class of Stochastic PERT Networks

Considering the network structure is one of the new approaches in studying stochastic PERT networks (SPN). In this paper, planar networks are studied as a special class of networks. Two structural reducible mechanisms titled arc contraction and deletion are developed to convert any planar network to a series-parallel network structure. In series-parallel SPN, the completion time distribution f...

Comparison between the effects of flipped class and traditional methods of instruction on satisfaction, active participation, and learning level in a continuous medical education course for general practitioners

Background and Aim:  Physicians’ knowledge and capabilities decrease over time; therefore, continuous medical education is important. Flipped class is a blended teaching method that inverts instructional cycle by delivering the educational content by innovative technology out-of-class.  The aim of this study was to determine the effects of flipped class on satisfaction, active participation,...

Numerical Solutions of Special Class of Systems of Non-Linear Volterra Integro-Differential Equations by a Simple High Accuracy Method

Convergence of a General Class of Algorithms for Separated Continuous Linear Programs

Separated continuous linear programs (SCLP) are a type of infinite-dimensional linear program which can serve as a useful model for a variety of dynamic network problems where storage is permitted at the nodes. This paper proves the convergence of a general class of algorithms for solving SCLP under certain restrictions on the problem data. This is the first such proof for any nondiscretization...