Algebra

The chapter explains that a set of two values of an input and an output is called a relation. It also explains that a function is the relationship between an output with each input.

The chapter explains that a collection of numbers arranged in rows and columns of distinct numbers is called a matrix. A matrix also consists of complex numbers.

The chapter explains that when the elements of a square matrix are calculated to find a scalar value, then the scalar value is called the determinant. The determinant of a matrix is denoted as det (A).

In this chapter, we will learn the concept of linear programming with its mathematical formulation and graphical method of solving it. We will also learn the different types of linear programming problems along with corner point methods.

This chapter deals with the concept of probability. Different topics such as conditional probability, Bayes’ theorem, multiplication theorem, etc., are also discussed here.