This example shows how to use nested functions to easily share data, as well as for creating customized functions.

**Example 1: Sharing Data**

Let's first take a look at `taxDemo.m`

, which contains a nested function.

```
type taxDemo.m
```

function y = taxDemo(income) %TAXDEMO Used by NESTEDDEMO. % Calculate the tax on income. % Copyright 1984-2014 The MathWorks, Inc. AdjustedIncome = income - 6000; % Calculate adjusted income % Call 'computeTax' without passing 'AdjustedIncome' as a parameter. y = computeTax; function y = computeTax % This function can see the variable 'AdjustedIncome' % in the calling function's workspace y = 0.28 * AdjustedIncome; end end

The nested function `computeTax`

can see the variables in the parent function's workspace. This makes sharing of data between multiple nested functions easy and particularly useful when processing large data sets. We can call the function in the usual way.

```
y = taxDemo(80e3) % What is the tax on $80k income?
```

y = 2.0720e+04

For nested functions, the `end`

statement is required at the end of a function. You can also nest functions to any level.

**Example 2: Creating Customized Functions**

Nested functions allow the ability to create customized functions. Let's look at `makefcn.m`

which contains a nested function.

```
type makefcn.m
```

function fcn = makefcn(a,b,c) %MAKEFCN Used by NESTEDDEMO. % This function returns a handle to a customized version of 'parabola'. % a,b,c specifies the coefficients of the function. % Copyright 1984-2014 The MathWorks, Inc. fcn = @parabola; % Return handle to nested function function y = parabola(x) % This nested function can see the variables 'a','b', and 'c' y = a*x.^2 + b.*x + c; end end

When you call `makefcn`

, it returns a function handle to a customized function. For example:

f = makefcn(3,2,10); g = makefcn(0,5,25);

`f`

and `g`

are handles to two functions, each with different coefficients. We can evaluate the functions by using their function handles and passing in parameters.

y = f(2)

y = 26

y = g(2)

y = 35

We can also pass the handle to function functions, such as optimization or integration.

minimum = fminbnd(f,-5,5);

Or plot the function over a range.

fplot(f, [-6 6], 'b-') % Plot f over a range of x hold on; plot(2,f(2),'bd'); % Plot a marker at (2,f(2)) plot(minimum,f(minimum),'bs'); % Plot at minimum of f text(minimum,f(minimum)-2,'Minimum'); fplot(g, [-6 6], 'r-') plot(2,g(2),'rd'); % Plot a marker at (2,g(2)) ylim([-10 60]) hold off;

**Example 3: Creating Customized Functions with State**

Let's look at `makecounter.m`

which contains a nested function.

```
type makecounter.m
```

function countfcn = makecounter(initvalue) %MAKECOUNTER Used by NESTEDDEMO. % This function returns a handle to a customized nested function 'getCounter'. % initvalue specifies the initial value of the counter whose's handle is returned. % Copyright 1984-2014 The MathWorks, Inc. currentCount = initvalue; % Initial value countfcn = @getCounter; % Return handle to getCounter function count = getCounter % This function increments the variable 'currentCount', when it % gets called (using its function handle) . currentCount = currentCount + 1; count = currentCount; end end

When you call `makecounter`

, it returns a handle to its nested function `getCounter`

. `getCounter`

is customized by the value of initvalue, a variable it can see via nesting within the workspace of makecounter.

counter1 = makecounter(0); % Define counter initialized to 0 counter2 = makecounter(10); % Define counter initialized to 10

Here we have created two customized counters: one that starts at 0 and one that starts at 10. Each handle is a separate instance of the function and its calling workspace. Now we can call the inner nested function via its handle. `counter1`

does not take parameters, but it could.

counter1Value = counter1()

counter1Value = 1

We can call the two functions independently as there are two separate workspaces for the parent functions kept. They remain in memory while the handles to their nested functions exist. In this case the `currentCount`

variable gets updated when counter1 is called.

counter1Value = counter1()

counter1Value = 2

counter2Value = counter2()

counter2Value = 11

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