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Jan 25, 2022
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

ACM 710 - Scientific Computing
Fundamental techniques in scientific computing are covered: Floating-point representation and errors, locating roots of equations, interpolation and numerical differentiation, numerical integration and Gaussian quadrature formulas, systems of linear systems, Gaussian elimination with Scaled partial pivoting, tridiagonal and banded systems, matrix factorizations, iterative solutions, approximation by spline functions, Monte Carlo methods and simulation, numerical solutions of ordinary differential equations, forward and backward Euler, predictor-corrector and Runge-Kutta schemes, shooting methods, and stiff ODE’s, minimization of functions. [3-0, 3 Cr.]
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture, Tutorial

Computer Science & Mathematics Department

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Release: 8.7.2