Handle to function
A function handle is a MATLAB® data type that represents a function. A typical use of function handles is to pass a function to another function. For example, you can use function handles as input arguments to functions that evaluate mathematical expressions over a range of values. Other typical uses of function handles include:
Specifying callback functions (for example, a callback that responds to a UI event or interacts with data acquisition hardware).
Constructing handles to functions defined inline instead of stored in a program file (anonymous functions).
Create a function handle using the
@ operator. Function handles can
represent either named or anonymous functions.
Named function handles represent functions in existing program
files, including functions that are part of MATLAB and functions that you create using the
To create a handle to a named function, precede the function name with
f = @sin; m = fminbnd(f,0,2*pi);
Anonymous function handles (often called anonymous
functions) represent single inline executable expressions that return one
output. To define an anonymous function, enclose input argument names in parentheses
immediately after the
@ operator, and then specify the executable
For example, create a handle to an anonymous function that evaluates the expression x2 − y2:
f = @(x,y) (x.^2 - y.^2);
Anonymous functions can accept multiple inputs but return only one output.
In a file in your current folder, create a function named
cubicPoly that accepts an input to evaluate the cubic polynomial .
function y = cubicPoly(x) y = x.^3 + x.^2 + x + 1; end
To find the integral of
1, pass a handle to the
cubicPoly function to
q = integral(@cubicPoly,0,1)
q = 2.0833
Create the handle
f to an anonymous function that evaluates the cubic polynomial for a given value of .
f = @(x) x.^3 + x.^2 + x + 1;
To find the integral of the anonymous function from
1, pass its handle to
q = integral(f,0,1)
q = 2.0833
backgroundPoolor accelerate code with Parallel Computing Toolbox™
This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.