Abstract
In solving engineering problems including modeling, identification, simulation, and control, the numerical computations usually come at the end of a symbolic solution process. This includes algebraic transformations, derivatives, and integrations before obtaining equations that are to be numerically solved. For instance, for system simulation we often need to compute a Jacobian matrix, and for control problems we often need to compute gradients.
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© 1999 Springer Science+Business Media New York
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Gomez, C. et al. (1999). Symbolic/Numeric Environment. In: Gomez, C., et al. Engineering and Scientific Computing with Scilab. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1584-4_10
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DOI: https://doi.org/10.1007/978-1-4612-1584-4_10
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-7204-5
Online ISBN: 978-1-4612-1584-4
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