A maxima of a function is an important mathematical concept. There are two kinds of maxima; one is **absolute maxima** and the other is **local maxima**. An **absolute maxima** is the largest functional value over the entire interval while a **local maxima** is the largest functional value over a particular interval.

Finding the local maxima of a function can be done in MATLAB using the **findpeaks()** function.

This guide will explain how to find the** local maxima **of a function in MATLAB using the **findpeaks() **function.

## Why is it Necessary to Find Local Maxima

Finding **local maxima** is important for solving optimization problems where we have to find optimal solutions when multiple solutions exist in a problem. The **local maxima** can also help us understand the complex system, such as spending money in a stock market. We can do this by looking at the trends of the market, thus allowing us to make informed decisions based on the trends.

## How to Find the Local Maxima of a Function in MATLAB?

We can easily determine the **local maxima** of a function in MATLAB using the built-in **findpeaks()** function. This function allows us to determine the** local maxima** of an input data or a signal. This function takes a data set as a mandatory input argument and provides the computed **local maxima**.

## Syntax

In MATLAB, you can use the **findpeaks()** function in the following ways:

[pks,locs] = findpeaks(data)

[pks,locs,w,p] = findpeaks(data)

Here,

The function **pks = findpeaks(data) **provides a vector containing the **local maxima **of the given input data set data. The **local maxima **pks is a data sample that is greater than its neighboring data samples.

The function **[pks,locs] = findpeaks(data) **provides the **local maxima** of the given input data set along the indices at which the local maxima occur.

The function **[pks,locs,w,p] = findpeaks(data) **provides the **local maxima** of the given input along the width of the peaks vector w and the prominence of peaks contained by vector p.

## Example 1: How to Find Local Maxima in a Vector?

This MATLAB code determines the local maxima of the given vector using the **findpeaks()** function, where we have generated a vector of 10 random numbers from 1 to 100.

plot(v)

pks = findpeaks(v)

## Example 2: How to Find Local Maxima Along the Corresponding Indices?

In the following example, we use the **findpeaks()** function to determine the **local maxima** along the indices of the given data. The code initially generated a vector of 10 random numbers from 1 to 100, plotted the vector v, then found the **local maxima **by returning two input vectors **pks (local maxima value) **and** locs (indices of local maxima)**.

plot(v)

[pks,locs] = findpeaks(v)

## Example 3: How to Find Local Maxima Along the Corresponding Indices Peaksâ€™ Width and Prominence?

In this MATLAB code, we use the **findpeaks()** function to determine the **local maxima **along the indices of the given data and the peakâ€™s width and prominence.

plot(v)

[pks,locs,w,p] = findpeaks(v)

## Conclusion

Finding the **local maxima **of a function is the most common mathematical problem, which might be hard to calculate normally, but can easily be done through the built-in **findpeaks() **function in MATLAB. This guide has covered the basics of local maxima, highlighted its importance, and provided different syntaxes and examples to help us understand the workings of the **findpeaks()** function.