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Special Issue on Novel Difference and Hybrid Methods for Differential and Integro-Differential Equations

For PDF Version Announcement The Neural, Parralel, and Scientific Computations will publish a special issue on NOVEL DIFFERENCE AND HYBRID METHODS FOR DIFFERENTIAL AND INTEGRO-DIFFERENTIAL EQUATIONS with Guest Editors Q. Sheng (Baylor University) and J. L. Henderson (Baylor University). The Journal's web-page can be found at:
It has been evident that many important mathematical modeling equations at the quantum level are accomplished through combinations of physical models from discrete-atomistic to continuum-macroscopic responses. On the other hand, new theories and methods provide powerful tools for the analysis of the combined modeling systems and computational applications. Novel finite difference and adaptive-hybrid schemes have been developed for solving the complex equations established via highly flexible approximation strategies. The aim of this special issue is to highlight the new developments in the area. It will contain articles presenting the latest trends and research results in topics including, but not limited to:

   hybrid and dynamic mathematical modeling and approximations

   adaptive and novel difference approaches for solving nonlinear differential or integro-differential equations

   stability and convergence analysis of the multi-level schemes

   iterative or adaptive methods in scientific and engineering computations

   numerical strategies in multi-level or parallel computations for differential equations with applications

Research papers are solicited for this special issue. Each submitted paper should be between 10 and 20 pages and will be refereed according to NPSC policies; see URL at

Submit a PDF or PS version of the complete paper to either of the Guest Editors:

Qin Sheng Johnny Henderson
Department of Mathematics
Baylor University
Waco, TX 76798-7328, USA
Department of Mathematics
Baylor University
Waco, TX 76798-7328, USA

Deadline for submission of full papers: May 30, 2008.
Notification of acceptance: August 30, 2008.
Expected publication: Fall, 2008.

   View or download a PDF version of this Announcement.

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