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Beny Neta
Naval Postgraduate School
Monterey, California
 

Beny Neta obtained his BS and MS degrees from Tel Aviv University, and his PhD in Applied Mathematics from Carnegie-Mellon University, under the supervision of George J. Fix. He held several positions in industry prior to attending Carnegie-Mellon. After graduation, he held academic positions at Northern Illinois University and Texas Tech University. Currently, he is a professor at the Naval Postgraduate School in Monterey, California. He has taught and coordinated courses in computational mathematics. In addition, he has supervised three PhD dissertations, has been an external examiner for several PhD dissertations, and has advised students on numerous MS theses. He has also developed several lecture notes on partial differential equations and the numerical solution of nonlinear equations. Beny has served as the associate chairman for research, and later as academic associate, for the Applied Mathematics Department. He has a joint appointment with the Space Systems Academic Group, and has published numerous technical papers in the area of orbit prediction. He also introduced the use of parallel computation to orbit propagation.

He is an associate fellow of the American Institute of Aeronautics and Astronautics (AIAA), a member of the New York Academy of Sciences, and a member of the European Society of Computational Methods in Sciences and Engineering (ESCMSE). Beny is also a member of the AIAA Technical Committee on Astrodynamics.

Beny has been named a senior research associate of the National Research Council, and has served as an advisor for the program for almost 20 years. As an advisor, he has attracted several post-doctoral and senior research associates. He is on the editorial board of Applied Mathematics and Computation, as well as three other electronic journals.

He has authored over 120 scientific articles, book chapters, and books, and has received multiple awards. He has been a guest editor, reviewer, and program committee member of various conferences. He has been a reviewer for Mathematical Reviews and Computing Reviews.


     

Higher-order adaptive finite difference methods for fully nonlinear elliptic equations
Froese Hamfeldt B., Salvador T. Journal of Scientific Computing 75(3): 1282-1306, 2018.  Type: Article

The authors extend Hamfeldt’s work [1] to solve a class of fully nonlinear degenerate elliptic partial differential problems. Hamfeldt previously developed a meshfree finite difference scheme for the weak form of the problem....

 

On an new algorithm for function approximation with full accuracy in the presence of discontinuities based on the immersed interface method
Amat S., Li Z., Ruiz J. Journal of Scientific Computing 75(3): 1500-1534, 2018.  Type: Article

Linear algorithms for the approximation of smooth functions are stable and convergent, but if the functions are piecewise continuous then we encounter diffusion and the Gibbs effect [1]....

 

A convergence analysis of the inexact simplified Jacobi--Davidson algorithm for polynomial eigenvalue problems
Zhao T. Journal of Scientific Computing 75(3): 1207-1228, 2018.  Type: Article

Sleijpen and van der Vorst introduced the Jacobi--Davidson (JD) method [1] to find eigenvalues in the interior of the spectrum of a real or complex large and sparse matrix. For generalized eigenvalue problems, Sleijpen et al. ...

 

An adaptive finite element method for the wave scattering with transparent boundary condition
Jiang X., Li P., Lv J., Zheng W. Journal of Scientific Computing 72(3): 936-956, 2017.  Type: Article

Jiang et al. discuss the numerical solution of acoustic wave scattering by an obstacle in two dimensions. The problem is defined on an open domain and requires a truncation of the domain (see Givoli [1]) using one of the following well...

 

A weak Galerkin finite element method for a type of fourth order problem arising from fluorescence tomography
Wang C., Zhou H. Journal of Scientific Computing 71(3): 897-918, 2017.  Type: Article

The finite element method (FEM) was introduced by engineers [1] for the solution of partial differential equations (PDEs) and analyzed later, for example, by Ciarlet [2]....

 
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