Nibcode Solutions Blog

Systems of linear equations lie at the heart of linear algebra, and they are used to solve practical problems in many fields of study. We can find examples in biology, economics and electronics, to cite only a few examples, where the solution to several problems is reduced to solve a system of linear equations.

So, this week, the problem will be related to this topic, where you should prove you understand the basic concepts when finding the solution of a system of linear equations.

This problem of the week is about the inverse of a square matrix, where you should need to know some basic properties and how to calculate it.

Inverse matrices are useful for a variety of fields, such as:

• Cryptography, to decrypt a message that was encrypted by using an invertible matrix.
• Image processing, where several transformations can be expressed as matrix multiplication, and to reverse those transformation, you just need multiply by the inverse.
• Solving consistent independent systems of linear equations.

When it comes to facing an exam, we all want to get good results, and although some people enjoy that moment, the reality is that for most it generates great tension.

From my personal experience, first as a student and then as a teacher, I would like to share some tips that will help you improve your results when you are faced with a demanding and laborious exam, such as those for Linear Algebra, although in general, these tips are valid for any exam.

Every Wednesday Nibcode Solutions will bring you a new Linear Algebra problem, which answer will be published on Tuesdays following week. Problems will cover the most important Linear Algebra topics, ranging from simple problems to some a little more complex, but all of them aimed to provide examples for you to understand the primary concepts and problem solving methods of Linear Algebra.

This problem of the week involves multiplication of matrices, which is considered the most important matrix operation, and although is not quite as straightforward as addition, the method is not difficult to grasp.

In this post, the last one of the series, we'll show an implementation in JavaScript of all the theory we have seen in the previous three posts. We also explain how you can use the HMTL5 canvas object to make your own implementation of the concepts of image processing.

The JavaScript image editor presented in the post, allows you to apply filters and make transformations to any image you choose. Besides, when moving the mouse cursor over the image, you can see, under the image, the 5x5 matrix of pixels surrounding the pixel at the cursor position.