Algebra

In this chapter, we will discuss relations, some functions and their graphs. It also explains the algebra of real function along with the cartesian product of sets.

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, 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.

The theories of probabilities are of great practical importance. In this chapter, we recollect the experimental probability learnt in previous class and learn about theoretical probability.