Random test problems and parallel methods for quadratic programs and quadratic stochastic programs∗

2000 ◽  
Vol 13 (4) ◽  
pp. 275-306 ◽  
Author(s):  
Xiaojun Chen ◽  
Robert S. Womrsley
Keyword(s):  
Test Problems ◽  
Quadratic Programs ◽  
Parallel Methods ◽  
Stochastic Programs ◽  
Random Test

A Comparative Study of Different Approaches for Finding the Upper Boundary Points in Stochastic-Flow Networks

2014 ◽  
Vol 10 (3) ◽  
pp. 13-23 ◽  
Author(s):  
Seyed Mehdi Mansourzadeh ◽  
Seyed Hadi Nasseri ◽  
Majid Forghani-elahabad ◽  
Ali Ebrahimnejad
Keyword(s):  
Information System ◽  
Comparative Study ◽  
Test Problems ◽  
Stochastic Flow ◽  
Flow Networks ◽  
Flow Network ◽  
Random Test ◽  
Boundary Points ◽  
Exclusion Method ◽  
Upper Boundary

An information system network (ISN) can be modeled as a stochastic-flow network (SFN). There are several algorithms to evaluate reliability of an SFN in terms of Minimal Cuts (MCs). The existing algorithms commonly first find all the upper boundary points (called d-MCs) in an SFN, and then determine the reliability of the network using some approaches such as inclusion-exclusion method, sum of disjoint products, etc. However, most of the algorithms have been compared via complexity results or through one or two benchmark networks. Thus, comparing those algorithms through random test problems can be desired. Here, the authors first state a simple improved algorithm. Then, by generating a number of random test problems and implementing the algorithms in MATLAB, the proposed algorithm is demonstrated to be more efficient than some existing ones in medium-sized networks. The performance profile introduced by Dolan and More is used for analyzing the output of programs.

Electron Immunochemical Labeling of Ultrathin Sections of Murine Tumor Viruses and Cell Cultures using the Unlabeled Antibody Enzyme Technique

1976 ◽  
Vol 34 ◽  
pp. 266-267
Author(s):  
W. J. Hamilton
Keyword(s):  
Mammary Tumor ◽  
Leukemia Virus ◽  
Parallel Methods ◽  
Tumor Viruses ◽  
Mouse Mammary Tumor ◽  
Tumor Virus ◽  
Antibody Conjugates ◽  
Rauscher Leukemia ◽  
Antigen Localization ◽  
Unlabeled Antibody

The study of RNA tumor viruses has been greatly facilitated by the use of immunochemical tagging methods. In the past these methods have been constrained to antibody conjugates with ferritin or peroxidase. In order to avoid the disadvantages of using conjugated antisera, investigators have applied the unlabeled antibody enzyme method of Sternberger to mammary tumor derived mouse cells prior to embedding for electron microscopy. The current study has successfully applied the Sternberger method to virusproducing cells and purified virus pellets after epoxy-embedding and ultrathin sectioning. The results demonstrate the distinct advantages of this “post-embedding” method for viral antigen localization.Purified Rauscher leukemia virus (RLV) and mouse mammary tumor virus (MMTV) were pelleted, fixed in buffered 2% paraformaldehyde and washed thoroughly. These were dehydrated in acetone, infiltrated and embedded in Spurr resin according to common procedures. A tumor derived cell line, Mm5mt, producing MMTV was embedded by parallel methods.

Tire Modeling by Finite Elements

1992 ◽  
Vol 20 (1) ◽  
pp. 33-56 ◽  
Author(s):  
L. O. Faria ◽  
J. T. Oden ◽  
B. Yavari ◽  
W. W. Tworzydlo ◽  
J. M. Bass ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Rolling Contact ◽  
Test Problems ◽  
State Behavior ◽  
Normal Contact ◽  
New Developments ◽  
Applied Torque ◽  
Dimensional Finite Element ◽  
Tire Modeling ◽  
Three Dimensional Finite Element

Abstract Recent advances in the development of a general three-dimensional finite element methodology for modeling large deformation steady state behavior of tire structures is presented. The new developments outlined here include the extension of the material modeling capabilities to include viscoelastic materials and a generalization of the formulation of the rolling contact problem to include special nonlinear constraints. These constraints include normal contact load, applied torque, and constant pressure-volume. Several new test problems and examples of tire analysis are presented.

On Spectral-Homotopy Perturbation Method Solution of Nonlinear Differential Equations in Bounded Domains

2013 ◽  
Vol 1 (1) ◽  
pp. 25-37
Author(s):  
Ahmed A. Khidir
Keyword(s):  
Perturbation Method ◽  
Homotopy Perturbation Method ◽  
Nonlinear Boundary ◽  
Nonlinear Differential Equations ◽  
Iteration Algorithm ◽  
Test Problems ◽  
Nonlinear Boundary Value Problems ◽  
Homotopy Perturbation ◽  
Spectral Technique ◽  
Homotopy Analysis

In this study, a combination of the hybrid Chebyshev spectral technique and the homotopy perturbation method is used to construct an iteration algorithm for solving nonlinear boundary value problems. Test problems are solved in order to demonstrate the efficiency, accuracy and reliability of the new technique and comparisons are made between the obtained results and exact solutions. The results demonstrate that the new spectral homotopy perturbation method is more efficient and converges faster than the standard homotopy analysis method. The methodology presented in the work is useful for solving the BVPs consisting of more than one differential equation in bounded domains. 

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