Does finger training increase young children's numerical performance?

Cortex ◽  
2008 ◽  
Vol 44 (4) ◽  
pp. 368-375 ◽  
Author(s):  
M GRACIABAFALLUY ◽  
M NOEL
Keyword(s):  
Numerical Performance

scholarly journals (V)TEAM for SPICE Simulation of Memristive Devices With Improved Numerical Performance

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 30242-30255
Author(s):  
Dalibor Biolek ◽  
Zdenek Kolka ◽  
Viera Biolkova ◽  
Zdenek Biolek ◽  
Shahar Kvatinsky
Keyword(s):  
Spice Simulation ◽  
Numerical Performance

Experimental and numerical performance analysis and optimization of single slope, double slope and pyramidal shaped solar stills

Desalination ◽  
2017 ◽  
Vol 423 ◽  
pp. 124-134 ◽  
Author(s):  
Ibrahem Altarawneh ◽  
Saleh Rawadieh ◽  
Mohammad Batiha ◽  
Leema Al-Makhadmeh ◽  
Sultan Alrowwad ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Numerical Performance

Identification of Parameters in Hereditary Systems

1995 ◽  
Author(s):  
Ferenc Hartung ◽  
Janos Turi ◽  
Terry L. Herdman
Keyword(s):  
Parameter Identification ◽  
Delay Equations ◽  
Neutral Equations ◽  
Piecewise Constant Arguments ◽  
Piecewise Constant ◽  
Identification Of Parameters ◽  
State Dependent ◽  
Identification Technique ◽  
Numerical Performance

Abstract In this paper we study the numerical performance of a parameter identification technique, based on approximation by equations with piecewise constant arguments, on various classes of hereditary systems. The examples considered here include delay equations with state-dependent delays and neutral equations.

A new three-term spectral conjugate gradient algorithm with higher numerical performance for solving large scale optimization problems based on Quasi-Newton equation

2021 ◽  
pp. 2150053
Author(s):  
Jie Guo ◽  
Zhong Wan
Keyword(s):  
Conjugate Gradient ◽  
Large Scale ◽  
Line Search ◽  
Optimization Problems ◽  
Gradient Algorithm ◽  
Large Scale Optimization ◽  
Newton Equation ◽  
Numerical Performance ◽  
Scale Optimization ◽  
Quasi Newton

A new spectral three-term conjugate gradient algorithm in virtue of the Quasi-Newton equation is developed for solving large-scale unconstrained optimization problems. It is proved that the search directions in this algorithm always satisfy a sufficiently descent condition independent of any line search. Global convergence is established for general objective functions if the strong Wolfe line search is used. Numerical experiments are employed to show its high numerical performance in solving large-scale optimization problems. Particularly, the developed algorithm is implemented to solve the 100 benchmark test problems from CUTE with different sizes from 1000 to 10,000, in comparison with some similar ones in the literature. The numerical results demonstrate that our algorithm outperforms the state-of-the-art ones in terms of less CPU time, less number of iteration or less number of function evaluation.

A numerical performance assessment of a commercial cardiopulmonary by-pass blood heat exchanger

2015 ◽  
Vol 37 (6) ◽  
pp. 584-592 ◽  
Author(s):  
Filippo Consolo ◽  
Gianfranco B. Fiore ◽  
Alessandra Pelosi ◽  
Stefano Reggiani ◽  
Alberto Redaelli
Keyword(s):  
Heat Exchanger ◽  
Performance Assessment ◽  
Numerical Performance
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