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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 general-purpose 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 symbolic-numeric computation
problem-solving environment
symbolic-numeric interface
Internet accessible symbolic and numeric computation
symbolic-numeric methods for differential and differential-algebraic 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