Uses Of Matrices In Computer Science

The discipline of physics also uses matrices to calculate battery power outputs and resistor conversion of electrical energy into a more efficient form.

Uses of matrices in computer science.

They allow computers to in effect do a lot of the computational heavy lifting in advance. In physics matrices are applied in optics quantum mechanics and electrical circuits. Most of the matrices that are used are either 3x3 or 4x4 matrices and are computed by either rotation matrices or translation matrices. Cryptography is also implemented using matrices.

Application of matrix in the field of computer is too much it is a simple calculation tool can be represented in a simple form and complex form. This paper gives several examples about computer science and technology to answer by using matrix method. Provided that they have the same size each matrix has the same number of rows and the same. For example the dimension of the matrix below is 2 3 read two by three because there are two rows and three columns.

Video gaming industry maybe the earliest industry to rely heavily on computer graphics is now representing rendered polygon in 3. Computer science also relies heavily on matrices. Matrices are commonly used in computers for their 3d graphics. Many industries like architecture cartoon automotive that were formerly done by hand drawing now are done routinely with the aid of computer graphics.

In reality instead of using 3 matrices to represent an image a tensor is used. The use of matrices in computer graphics is widespread. We see the results of matrix mathematics in every computer generated image that has a reflection or distortion effects such as light passing through. Scholastic matrices are used by page rank algorithms.

Imagine it as three 2d matrices stacked one behind another. Matrices are used to solve problems involving kirchoff s laws of voltage and current. In computer science matrices are used in the projection of three dimensional images into two dimensional screens. In order to guide the students to know the application of matrix in the computer science and technology to stimulate interest in learning.

Creating a matrix that yields useful computational results may be difficult but performing matrix multiplication generally isn t. Let s start with computer graphics then touch on science and return to mathematics. A tensor is a generalized n dimensional matrix. But that points to one of the reasons that matrices are so common in computer science.

For an rgb image a 3rd ordered tensor is used.