A modified algorithm for planarity testing and constructing the topological drawing of a graph. The thread method

2018 ◽  
Vol 10 (4) ◽  
pp. 53-74
Author(s):  
S.V. Kurapov ◽  
M.V. Davidovsky ◽  
A.V. Tolok
Keyword(s):  
Topological Drawing ◽  
Modified Algorithm

A Modified Algorithm for Reduction of Error in Combined Numerical Integration

2019 ◽  
Vol 51 (04) ◽  
pp. 745-750
Author(s):  
A.A BHATTI ◽  
M.S CHANDIO ◽  
R.A MEMON ◽  
M.M SHAIKH
Keyword(s):  
Numerical Integration ◽  
Modified Algorithm

Modified algorithm for MIMO self-tuning control

1987 ◽  
Vol 45 (5) ◽  
pp. 1515-1526
Author(s):  
C. HAN ◽  
S. CHEN ◽  
P. D. ROBERTS
Keyword(s):  
Self Tuning ◽  
Modified Algorithm

A Modified Two-Bun Method for Routine Urea Modeling: Clinical Validation in 120 Patients on a Free Diet

1995 ◽  
Vol 18 (9) ◽  
pp. 553-557 ◽  
Author(s):  
F.G. Casino ◽  
C. Lomonte ◽  
R. Russo ◽  
B. Di Iorio ◽  
G. Chiarulli ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Clinical Validation ◽  
Percent Error ◽  
Error Range ◽  
Routine Assessment ◽  
Modified Algorithm

Recently, a modified algorithm of the Two-BUN method (MA2p), avoiding dialyzer clearance measurement, was presented for routine assessment of Kt/V and NPCR. To validate MA2p in patients on a free diet (FDP), we studied 120 stable dialysis FDP by measuring Kt/V and NPCR with both MA2p and a modified version of the standard Three-BUN method (MA3p), for the 3 weekly sessions. The NPCR values (g/kg/day), calculated by MA3p for the 3 interdialyses were: 1.286∓0.274, 1.256∓0.276, and 1.116∓0.230, respectively. The correlation coefficient (r) for averaged Kt/V values obtained by the two methods was 0.999 and the percent error (Error%) for MA2p vs. MA3p results ranged from -1.5 to +0.78%. The respective results for NPCR were: r=0.967, Error% range from -11.7 to +13.9%. In conclusion, MA2p can be safely used in patients on a free diet. The lowest NPCR values were observed during the long interdialysis.

A Modified Algorithm for the Least Squares Identification

1983 ◽  
Vol 105 (1) ◽  
pp. 50-52
Author(s):  
C. Batur
Keyword(s):  
Least Squares ◽  
Least Squares Method ◽  
Mechanical Systems ◽  
Model Structure ◽  
Input Output ◽  
Unknown Parameters ◽  
Estimation Errors ◽  
Usual Practice ◽  
Unknown Disturbances ◽  
Modified Algorithm

To identify the dynamics of mechanical systems, the usual practice is to assume a certain model structure and try to estimate the unknown parameters of this model on the basis of input output observations. For mechanical systems operating under noisy industrial conditions, the number of unknowns of the problem exceeds the number of equations available. It is then inevitable that certain assumptions must be made on the unknown disturbances. This paper assumes that the only reliable feature of the disturbance is its independence of input. This yields a set of assumptions in excess of the minimal requirements and an endeavor has been made to exploit this excess to minimize the parameter estimation errors. Th resulting algorithm is similar to that of the Two Stage Least Squares method [1].

A modified algorithm for the Perron root of a nonnegative matrix

2011 ◽  
Vol 217 (9) ◽  
pp. 4453-4458 ◽  
Author(s):  
Chengming Wen ◽  
Ting-Zhu Huang
Keyword(s):  
Nonnegative Matrix ◽  
Perron Root ◽  
Modified Algorithm
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