A Package for Testing Multiple Integration Subroutines

1987 ◽  
pp. 337-340 ◽  
Author(s):  
Alan Genz
Keyword(s):  
Multiple Integration

A magnitude optimum multiple integration tuning method for filtered PID controller

Automatica ◽  
2001 ◽  
Vol 37 (9) ◽  
pp. 1473-1479 ◽  
Author(s):  
Damir Vrančić ◽  
Stanko Strmčnik ◽  
Đani Juričić
Keyword(s):  
Pid Controller ◽  
Multiple Integration ◽  
Tuning Method

scholarly journals Models for Multiple Attribute Decision Making with Some 2-Tuple Linguistic Pythagorean Fuzzy Hamy Mean Operators

Mathematics ◽  
2018 ◽  
Vol 6 (11) ◽  
pp. 236 ◽  
Author(s):  
Xiumei Deng ◽  
Jie Wang ◽  
Guiwu Wei ◽  
Mao Lu
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Fuzzy Numbers ◽  
Special Kind ◽  
Multiple Attribute Decision Making ◽  
Linguistic Terms ◽  
Multiple Integration ◽  
Multiple Attribute ◽  
Pythagorean Fuzzy Numbers ◽  
Actual Decision

The Hamy mean (HM) operator, as a useful aggregation tool, can capture the correlation between multiple integration parameters, and the 2-tuple linguistic Pythagorean fuzzy numbers (2TLPFNs) are a special kind of Pythagorean fuzzy numbers (PFNs), which can easily describe the fuzziness in actual decision making by 2-tuple linguistic terms (2TLTs). In this paper, to consider both Hamy mean (HM) operator and 2TLPFNs, we combine the HM operator, weighted HM (WHM) operator, dual HM (DHM) operator, and dual WHM (DWHM) operator with 2TLPFNs to propose the 2-tuple linguistic Pythagorean fuzzy HM (2TLPFHM) operator, 2-tuple linguistic Pythagorean fuzzy WHM (2TLPFWHM) operator, 2-tuple linguistic Pythagorean fuzzy DHM (2TLPFDHM) operator and 2-tuple linguistic Pythagorean fuzzy DWHM (2TLPFDWHM) operator. Then some multiple attribute decision making (MADM) procedures are developed based on these operators. At last, an applicable example for green supplier selection is given.

Multiple integration 1

2011 ◽  
pp. 642-690
Author(s):  
K.A. Stroud ◽  
Dexter Booth
Keyword(s):  
Multiple Integration

Fourth-order fractional diffusion model of thermal grooving: integral approach to approximate closed form solution of the Mullins model

2018 ◽  
Vol 13 (1) ◽  
pp. 6 ◽  
Author(s):  
Jordan Hristov
Keyword(s):  
Integration Method ◽  
Closed Form Solution ◽  
Multiple Integral ◽  
Fractional Diffusion ◽  
Form Solution ◽  
Balance Method ◽  
Integral Approach ◽  
Integration Technique ◽  
Multiple Integration ◽  
Space Coordinate

A multiple integration technique of the integral-balance method allowing solving high-order subdiffusion diffusion equations is presented in this article. The new method termed multiple-integral balance method (MIM) is based on multiple integration procedures with respect to the space coordinate. MIM is a generalization of the widely applied Heat-balance integral method of Goodman and the double integration method of Volkov. The method is demonstrated by a solution of the linear subdiffusion model of Mullins for thermal grooving by surface diffusion.

scholarly journals Lattice rules for multiple integration and discrepancy

1990 ◽  
Vol 54 (189) ◽  
pp. 303-303 ◽  
Author(s):  
Harald Niederreiter ◽  
Ian H. Sloan
Keyword(s):  
Lattice Rules ◽  
Multiple Integration

scholarly journals Identification of multiple integration sites for Stx-phage Φ24B in the Escherichia coli genome, description of a novel integrase and evidence for a functional anti-repressor

Microbiology ◽  
2007 ◽  
Vol 153 (12) ◽  
pp. 4098-4110 ◽  
Author(s):  
Paul C. M. Fogg ◽  
Sharon M. Gossage ◽  
Darren L. Smith ◽  
Jon R. Saunders ◽  
Alan J. McCarthy ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Multiple Integration ◽  
Integration Sites
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