in this paper by using concepts of graph theory, forces method and substructure ing method for analysis of structures, some methods have been introduced for optimal analysis of structures in a large scale, using substructuring method. planar rigid frames assuming linear behavior and small deformations, have been optimal analyzed, by using forces method. thus, a fortran power station computation...

Substructuring in the finite element method is a technique that reduces computational cost and memory usage for analysis of complex structures. The efficiency of this technique depends on the number of substructures in different problems. Some subdivisions increase computational cost, but require little memory usage and vice versa. In the present study, the cost functions of computations and me...

in this article, we propose and analyze a computational method for numerical solution of general two point boundary value problems. method is tested on problems to ensure the computational eciency. we have compared numerical results with results obtained by other method in literature. we conclude that propose method is computationally ecient and eective.

many diseases are related to cerebrospinal .uid (csf) hydrodynamics. therefore, understanding the hydrodynamics of csf .ow and intracranial pressure is helpful for obtaining deeper knowledge of pathological processes and providing better treatments. furthermore, engineering a reliable computational method is promising approach for fabricating in vitro models which is essential for inventing gen...

  Wolfram|Alpha Computational Knowledge Engine software, despite all internet search engines, tries to provide the the best answer for a question or compute an equation in the most correct way based on the current knowledge. Therefore, given the unique characteristic of Wolfram|Alpha and its vast applications, the aim of the present article is to familiarize the biomedical scientists with...

for large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. mechanism simplification is often a necessity to improve computational speed. we present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using genetic al...

Model-based predictive control (MPC) is one of the most efficient techniques that is widely used in industrial applications. In such controllers, increasing the prediction horizon results in better selection of the optimal control signal sequence. On the other hand, increasing the prediction horizon increase the computational time of the optimization process which make it impossible to be imple...