The methods of Scientific Computing play an important
role in research and engineering applications in the fields of the natural
and the engineering sciences. The importance of computer
algebra methods and computer algebra systems for scientific computing has
increased considerably in recent times. During the last decade, a new
generation of general-purpose computer algebra systems such as
Mathematica, Maple, MuPAD, Reduce, Axiom and others have been developed, which
enable the user to solve the following three important tasks within a
uniform framework of the same systems:
- 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
knowledge. Topics for CASC combine many important questions and methods
of scientific computing and the applications of computer algebra, like
- computer algebra and approximate computations
- numerical simulation using computer algebra systems
- parallel symbolic-numeric computation
- problem-solving environments
- symbolic-numeric interface
- Internet accessible symbolic and numeric computation
- construction of approximate solutions of ordinary differential
equations and dynamical systems
- symbolic-numeric methods for differential-algebraic equations
- computer algebra analysis of partial differential equations
- computer algebra based simulations
- algebraic methods for nonlinear polynomial equations and
inequalities
- algorithmic and complexity considerations in computer algebra
- computer algebra applications in industry
- applications 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 making progress on many
current questions and problems in advanced scientific computing.
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