Scope:
Scientific Computing II will develop the theoretical basis
and computational techniques for the approximation of functions,
for numerical differentiation and integration, and for approximating
the solutions to ordinary differential equations (both initial value problems
and boundary value problems).
Role in our curriculum:
The material in Scientific Computing II is indispensable for research
in many areas of applied mathematics, especially those in which
differential equations are used to represent physical, chemical,
biological, or social processes.
Examples of such areas include fluid dynamics,
industrial processes, and mathematical physiology.
This course is a prerequisite for Mathematics 226 and 227,
Numerical Partial Differential Equations, parts I & II.
Prerequisite: Scientific Computing I (Mathematics 224) and familiarity with ODEs at the level of Mathematics 111 or 131.
Textbooks
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Last modified: 22 May 2003