The methods of Scientific Computing play an important role in research and engineering applications in the natural and the engineering sciences. The significance and impact of computer algebra methods and computer algebra systems for scientific computing has increased considerably in recent times. Nowadays, such generalpurpose computer algebra systems as Mathematica, Maple, MuPAD and others enable their users to solve the following three important tasks within a uniform framework:
 symbolic manipulation
 numerical computation
 visualization
The ongoing development of such systems, including their adaptation to parallel environments, puts them to the forefront in scientific computing and enables the practical solution of many complex applied problems in the domains of natural sciences and engineering. The topics addressed in the workshop cover all the basic areas of scientific computing provided by application of computer algebra methods and software:
 computer algebra and approximate computations
 numerical simulation using computer algebra systems
 parallel symbolicnumeric computation
 problemsolving environment
 symbolicnumeric interface
 Internet accessible symbolic and numeric computation
 symbolicnumeric methods for differential and differentialalgebraic equations
 computer algebra based simulations
 algebraic methods for nonlinear polynomial equations and inequalities
 symbolic and numerical computation in systems engineering and modeling
 algorithmic and complexity considerations in computer algebra
 computer algebra in industry
 solving problems in natural sciences
The workshop is intended to provide a forum for researchers and engineers in the fields of mathematics, computer science, numerical analysis, industry, etc. An important goal of the workshop is to bring together all these specialists for the purpose of fostering progress on current questions and problems in advanced scientific computing.
