In this course, you will learn about Numerical Modeling. You will learn about solving sets of linear algebraic equations, graphical interpretation, the determinant, Gaussian Elimination with partial pivoting, solving nonlinear algebraic equations, graphing method and incremental search method, bisection method, Newton-Raphson Method, secant method, MATLAB’s fzero and fsolve functions, and much more.
Overview
Syllabus
Numerical Modeling: Topic 1.1 - Introduction to solving sets of linear algebraic equations.
Numerical Modeling: Topic 1.2 - Solving sets of linear algebraic using MATLAB.
Numerical Modeling: Topic 1.3 - Graphical interpretation of AX = B.
Numerical Modeling: Topic 1.4 - The determinant.
Numerical Modeling: Topic 1.5 - Gaussian elimination with partial pivoting.
Numerical Modeling: Topic 1.6 - Example, Solving AX = B with MATLAB (truss problem).
Numerical Modeling: Topic 2.1 - Introduction to solving nonlinear algebraic equations.
Numerical Modeling: Topic 2.2 - Graphing method & incremental search method.
Numerical Modeling: Topic 2.3 - Bisection method.
Numerical Modeling: Topic 2.4 - Newton-Raphson method.
Numerical Modeling: Topic 2.5 - Secant method.
Numerical Modeling: Topic 2.6 - MATLAB's fzero function.
Numerical Modeling: Topic 2.7 - Solving a set of nonlinear equations, modified secant method.
Numerical Modeling: Topic 2.8 - Example, Solving sets of nonlinear equations, modified secant method.
Numerical Modeling: Topic 2.9 - MATLAB's fsolve function.
Taught by
CPPMechEngTutorials
