The methods of Scientific Computing play an important role in the natural sciences and engineering. Significance and impact of computer algebra methods and computer algebra systems for scientific computing has increased considerably over the last decade.
Nowadays, computer algebra systems such as Maple, Magma, Mathematica, MuPAD, Singular and others enable their users to exploit their powerful facilities in

• symbolic manipulation
• numerical computation
• visualization

The ongoing development of computer algebra systems, including their integration and adaptation to modern software 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 as they benefit from the application of computer algebra methods and software:

• exact and approximate computation
• numerical simulation using computer algebra systems
• parallel symbolic-numeric computation
• problem-solving environments
• internet accessible symbolic and numeric computation
• symbolic-numeric methods for differential, differential-algebraic and difference equations
• algebraic methods in geometric modeling
• 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
• computer algebra in nanotechnology
• solving problems in natural sciences
• automated reasoning in algebra and geometry