Numerical recipes: the art of scientific computing
Numerical recipes: the art of scientific computing
The Maple handbook: Maple V Release 4
The Maple handbook: Maple V Release 4
PELLPACK: a problem-solving environment for PDE-based applications on multicomputer platforms
ACM Transactions on Mathematical Software (TOMS)
The Mathematica Book
The T Experiments: Errors In Scientific Software
IEEE Computational Science & Engineering
Future Scientific Software Systems
IEEE Computational Science & Engineering
SciNapse: A Problem-Solving Environment for Partial Differential Equations
IEEE Computational Science & Engineering
Implementing Option-Pricing Models Using Software Synthesis
Computing in Science and Engineering
An iterative back substitution algorithm for the solution of tridiagonal matrix systems with fringes
Journal of Computational and Applied Mathematics
Computer algebra systems as mathematical optimizing compilers
Science of Computer Programming
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During the first years of the computer era no tools were available to aid scientists in the development of their computer codes. Code production was a pretty handicraft job. The last years have seen the resurgence of many concepts whose aim is to reduce the man effort in building scientific systems. These ideas spread from the reusable component concept to the multi-purpose problem-solving environment (PSE). This paper presents an approach that takes all the power of computer algebra systems (CASs) to easily specify a scientific problem solver and to automatically generate a computer program in standard language (as Fortran or C) that implements it. An application using a well-known CAS, Mathematica, is presented to show the methodology.