Главная
Study mode:
on
1
Numerical Modeling: Topic 1.1 - Introduction to solving sets of linear algebraic equations
2
Numerical Modeling: Topic 1.2 - Solving sets of linear algebraic using MATLAB
3
Numerical Modeling: Topic 1.3 - Graphical interpretation of AX = B
4
Numerical Modeling: Topic 1.4 - The determinant
5
Numerical Modeling: Topic 1.5 - Gaussian elimination with partial pivoting
6
Numerical Modeling: Topic 1.6 - Example, Solving AX = B with MATLAB (truss problem)
7
Numerical Modeling: Topic 2.1 - Introduction to solving nonlinear algebraic equations
8
Numerical Modeling: Topic 2.2 - Graphing method & incremental search method
9
Numerical Modeling: Topic 2.3 - Bisection method
10
Numerical Modeling: Topic 2.4 - Newton-Raphson method
11
Numerical Modeling: Topic 2.5 - Secant method
12
Numerical Modeling: Topic 2.6 - MATLAB's fzero function
13
Numerical Modeling: Topic 2.7 - Solving a set of nonlinear equations, modified secant method
14
Numerical Modeling: Topic 2.8 - Example, Solving sets of nonlinear equations, modified secant method
15
Numerical Modeling: Topic 2.9 - MATLAB's fsolve function
Description:
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.

Numerical Modeling

Cal Poly Pomona
Add to list
#Programming #Domain-Specific Languages (DSL) #MATLAB #Mathematics #Algebra #Linear Algebra #Gaussian Elimination #Determinants #Applied Mathematics #Mathematical Modeling #Numerical Modeling
0:00 / 0:00
1 of 15

Numerical Modeling: Topic 1.1 - Introduction to solving sets of linear algebraic equations