Description
Introduction to Numerical Simulation is an introduction to computational techniques for the simulation of a large variety of engineering and engineered systems. Applications are drawn from aerospace, mechanical, electrical, and chemical engineering, materials science, and operations research. Topics include: mathematical formulations; network problems; sparse direct and iterative matrix solution techniques; Newton methods for nonlinear problems; discretization methods for ordinary and partial differential equations; methods for the solution of integral equations; model-order reduction; and Monte Carlo techniques.
Prerequisites
18.03 or 18.06 or equivalent; and familiarity with MATLAB®.
Instructors
Prof. Jacob White
Prof. Luca Daniel
Prof. Nicolas Hadjiconstantinou
Prof. Jaime Peraire
Prof. Anthony T. Patera
This course has eight problem sets.