Yong Zhang

Affiliations:
  • University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, China


According to our database1, Yong Zhang authored at least 13 papers between 2007 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

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Bibliography

2026
GeoFunFlow-3D: A Physics-Guided Generative Flow Matching Framework for High-Fidelity 3D Aerodynamic Inference over Complex Geometries.
CoRR, April, 2026

2016
On the Quantitative Analysis of Sparse RBMs.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

2014
Efficient preconditioner updates for unsymmetric shifted linear systems.
Comput. Math. Appl., 2014

2013
Some new strategies for RCM ordering in solving electromagnetic scattering problems.
Comput. Phys. Commun., 2013

A numerical method and efficient preconditioner for generalized airfoil equations.
Appl. Math. Comput., 2013

2012
Flexible incomplete Cholesky factorization with multi-parameters to control the number of nonzero elements in preconditioners.
Numer. Linear Algebra Appl., 2012

2011
Chebyshev-type methods and preconditioning techniques.
Appl. Math. Comput., 2011

2010
Application of the incomplete Cholesky factorization preconditioned Krylov subspace method to the vector finite element method for 3-D electromagnetic scattering problems.
Comput. Phys. Commun., 2010

2009
On some new approximate factorization methods for block tridiagonal matrices suitable for vector and parallel processors.
Math. Comput. Simul., 2009

Lanczos-type variants of the COCR method for complex nonsymmetric linear systems.
J. Comput. Phys., 2009

A class of approximate inverse preconditioners for solving linear systems.
Int. J. Comput. Math., 2009

2007
A class of preconditioners based on the (I+S(alpha))-type preconditioning matrices for solving linear systems.
Appl. Math. Comput., 2007

Gauss type preconditioning techniques for linear systems.
Appl. Math. Comput., 2007


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