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Scientific Computing 1 ELEX 7021

Electrical and Computer Engineering Course

Course details

This course is to be taken in conjunction with ELEX 7020 and will cover numerical analysis techniques used for constrained and unconstrained maximization problems, ordinary differential equations, root finding, and the solution of non-linear equations. Engineering applications are emphasized and MatLab is used throughout as the computing tool.

Prerequisite(s)

Credits

1.0

Not offered this term
This course is not offered this term. Please check back next term or subscribe to receive notifications of future course offerings and other opportunities to learn more about this course and related programs.

Learning Outcomes

Upon successful completion, the student will be able to:

  • Describe the effects of round off error in numeric computations.
  • Solve nonlinear equations using gradient and non gradient search techniques such as fixed point iteration, incremental search, bisection method, Newton's method, the secant method, the bisection method, the golden section search, and false position methods.
  • Describe situations in which search methods may fail.
  • Analyze the convergence rates of numeric algorithms
  • Solve one dimensional and multidimensional unconstrained and constrained nonlinear programming problems using both gradient and non-gradient algorithms.
  • Solve a set of nonlinear ordinary differential equations using numeric integration, including adaptive step size algorithms.

Effective as of Fall 2003

Related Programs

Scientific Computing 1 (ELEX 7021) is offered as a part of the following programs:

School of Energy

  1. Electronics
    Bachelor of Technology Part-time

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