Multiscale Numerical Algorithm Development for Multi-Dust-Species

2017 ◽  
Author(s):  
Shengtai Li
Keyword(s):  
Numerical Algorithm ◽  
Algorithm Development

Algorithm Development of de novo Peptide Sequencing Via Tandem Mass Spectrometry

2011 ◽  
Vol 37 (12) ◽  
pp. 1278-1288 ◽  
Author(s):  
Han-Chang SUN ◽  
Ji-Yang ZHANG ◽  
Hui LIU ◽  
Wei ZHANG ◽  
Chang-Ming XU ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Tandem Mass Spectrometry ◽  
De Novo ◽  
Peptide Sequencing ◽  
Tandem Mass ◽  
Algorithm Development

Spectral-Based Volume Sensor Tested Algorithm Development, Test Series VS2

2005 ◽  
Author(s):  
Daniel A. Steinhurst ◽  
James A. Lynch ◽  
Daniel T. Gottuk ◽  
Jeffrey C. Owrutsky ◽  
Herbert H. Nelson ◽  
...  
Keyword(s):  
Test Series ◽  
Algorithm Development ◽  
Volume Sensor

Shock loading of fixed flexible thread and orthotropic elastic membrane

2003 ◽  
Vol 3 ◽  
pp. 52-59
Author(s):  
S.S. Komarov ◽  
N.Yu. Tsvileneva ◽  
N.I. Miskaktin
Keyword(s):  
Numerical Methods ◽  
Dynamic Loading ◽  
Elastic Deformation ◽  
Numerical Algorithm ◽  
Shock Loading ◽  
Elastic Membrane ◽  
Wave Dynamics ◽  
Elastic Membranes ◽  
Pneumatic Structures

The main problems of the wave dynamics of flexible filaments and elastic membranes are solved. The reliability of the numerical algorithm proposed by the authors for calculating the elastic deformation of pneumatic structures under dynamic loading is confirmed when compared with the results of known studies obtained by analytical and numerical methods.

scholarly journals Application of the topological sensitivity method to the reconstruction of plasma equilibrium domain in a tokamak

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Mohamed Abdelwahed ◽  
Nejmeddine Chorfi ◽  
Maatoug Hassine ◽  
Imen Kallel
Keyword(s):  
Inverse Problem ◽  
Asymptotic Expansion ◽  
Numerical Algorithm ◽  
Shape Function ◽  
Optimization Technique ◽  
Plasma Equilibrium ◽  
Topological Sensitivity ◽  
Sensitivity Method

AbstractThe topological sensitivity method is an optimization technique used in different inverse problem solutions. In this work, we adapt this method to the identification of plasma domain in a Tokamak. An asymptotic expansion of a considered shape function is established and used to solve this inverse problem. Finally, a numerical algorithm is developed and tested in different configurations.

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