The Sigma-Sor Algorithm and the Optimal Strategy for the Utilization of the Sor Iterative Method

1994 ◽  
Vol 62 (206) ◽  
pp. 619 ◽  
Author(s):  
Zbigniew I. Woznicki
Keyword(s):  
Iterative Method ◽  
Optimal Strategy ◽  
Sor Algorithm

Automated Development of Clinical Strategies Using Multistage Decision Analysis

1986 ◽  
Vol 25 (04) ◽  
pp. 207-214 ◽  
Author(s):  
P. Glasziou
Keyword(s):  
Decision Tree ◽  
Decision Analysis ◽  
Decision Trees ◽  
Optimal Strategy ◽  
Cholestatic Jaundice ◽  
Clinical Strategies ◽  
Simultaneous Study

SummaryThe development of investigative strategies by decision analysis has been achieved by explicitly drawing the decision tree, either by hand or on computer. This paper discusses the feasibility of automatically generating and analysing decision trees from a description of the investigations and the treatment problem. The investigation of cholestatic jaundice is used to illustrate the technique.Methods to decrease the number of calculations required are presented. It is shown that this method makes practical the simultaneous study of at least half a dozen investigations. However, some new problems arise due to the possible complexity of the resulting optimal strategy. If protocol errors and delays due to testing are considered, simpler strategies become desirable. Generation and assessment of these simpler strategies are discussed with examples.

THE REALIZATION OF THE ITERATIVE METHOD OF THE LEAST SQUARES FOR THE ESTIMATION OF STATIC OBJECT PARAMETERS IN MATLAB ENVIRONMENT

2017 ◽  
pp. 28-36
Author(s):  
Galina Vasil’evna Troshina ◽  
Alexander Aleksandrovich Voevoda
Keyword(s):  
Parameter Estimation ◽  
Iterative Method ◽  
Least Squares ◽  
Input Signal ◽  
Layer Structure ◽  
Estimation Procedure ◽  
Parameter Estimation Procedure ◽  
Noise Simulation ◽  
Static Object ◽  
Object Parameters

It was suggested to use the system model working in real time for an iterative method of the parameter estimation. It gives the chance to select a suitable input signal, and also to carry out the setup of the object parameters. The object modeling for a case when the system isn't affected by the measurement noises, and also for a case when an object is under the gaussian noise was executed in the MatLab environment. The superposition of two meanders with different periods and single amplitude is used as an input signal. The model represents the three-layer structure in the MatLab environment. On the most upper layer there are units corresponding to the simulation of an input signal, directly the object, the unit of the noise simulation and the unit for the parameter estimation. The second and the third layers correspond to the simulation of the iterative method of the least squares. The diagrams of the input and the output signals in the absence of noise and in the presence of noise are shown. The results of parameter estimation of a static object are given. According to the results of modeling, the algorithm works well even in the presence of significant measurement noise. To verify the correctness of the work of an algorithm the auxiliary computations have been performed and the diagrams of the gain behavior amount which is used in the parameter estimation procedure have been constructed. The entry conditions which are necessary for the work of an iterative method of the least squares are specified. The understanding of this algorithm functioning principles is a basis for its subsequent use for the parameter estimation of the multi-channel dynamic objects.

Irritable bowel syndrome and probiotics place in therapeutic strategies

Infectio ro ◽  
2018 ◽  
Vol 56 (4) (1) ◽  
pp. 9-21
Author(s):  
Ștefan-Sorin Aramă
Keyword(s):  
Irritable Bowel Syndrome ◽  
Optimal Strategy ◽  
Vitamin B6 ◽  
Scientific Evidence ◽  
Bifidobacterium Longum ◽  
Lactobacillus Rhamnosus ◽  
Therapeutic Strategies ◽  
Intestinal Dysbiosis ◽  
Irritable Bowel ◽  
The Moment

Irritable bowel syndrome is a frequent digestive condition, with an unclear etiopathogeny. Very probably intestinal dysbiosis plays an important role. For the moment there are no guidelines for treatment. There is scientific evidence for several therapies: modification of diet, non-resorbable antibiotics (rifaximin-α) and probiotics. Giving probiotics after each antibiotic course (an association of Bifidobacterium longum BB536 and Lactobacillus rhamnosus HN001) supplemented with vitamin B6 may be an optimal strategy.

An adaptive chebyshev iterative method

2018 ◽  
Vol 30 (10) ◽  
pp. 67-85
Author(s):  
V. Zhukov ◽  
◽  
O. Feodoritova ◽  
N. Novikova ◽  
◽  
...  
Keyword(s):  
Iterative Method
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