TAILIEUCHUNG - Lecture note Data visualization - Chapter 30

This chapter presents the following content: Cubic spline interpolation, multidimensional interpolation, curve fitting, linear regression, polynomial regression, the polyval function, the interactive fitting tools, basic curve fitting, curve fitting toolbox, numerical integration. | Lecture 30 Recap Cubic Spline Interpolation Multidimensional Interpolation Curve Fitting Linear Regression Polynomial Regression The Polyval Function The Interactive Fitting Tools Basic Curve Fitting Curve Fitting ToolBox Numerical Integration Numerical Integration Example Here’s another example, using a function handle and an anonymous function, instead of defining the function inside single quote First define an anonymous function for a third-order polynomial fun_handle = @(x)-x.^3+20*x.^2-5 Now plot the function, to see how it behaves. The easiest approach is to use fplot , since it also accepts a function handle: fplot(fun_handle,[-5,25]) Example Continued . The integral of this function is area under the curve Finally, to evaluate the integral we’ll use the quad function, with the function handle as input: quad(fun_handle,0,25) ans = Solving Differential Equation Numerically MATLAB includes a number of functions that solve ordinary differential equations of the form .

• Kỹ thuật lập trình
• Data visualization
• Lecture note Data visualization
• Data structures
• Data Visualization with C
• Data visualization with matlab
• Effective graphical display