Rating 4.05 out of 5 (23 ratings in Udemy)
What you'll learn- Determinants Definition
- Minors and Cofactors
- Determinants Expansion
- Properties of Determinants
- Multiplication of Determinants
- Differentiation and Integration of Determinants
- Matrices Definition
- Types of Matrices
- Difference between a Matrix and a Determinant
- Operations on Matrices
- Various Kinds Of Matrices
- Adjoint of a Square Matrix
- Elementary Row and Column Transformation
- Inverse of a Matrix
- Echelon Form, Normal Form …
Rating 4.05 out of 5 (23 ratings in Udemy)
What you'll learn- Determinants Definition
- Minors and Cofactors
- Determinants Expansion
- Properties of Determinants
- Multiplication of Determinants
- Differentiation and Integration of Determinants
- Matrices Definition
- Types of Matrices
- Difference between a Matrix and a Determinant
- Operations on Matrices
- Various Kinds Of Matrices
- Adjoint of a Square Matrix
- Elementary Row and Column Transformation
- Inverse of a Matrix
- Echelon Form, Normal Form and Rank of a Matrix
- Solution of Simultaneous Linear Equations
- Reflection and Rotation of a Matrix
DescriptionDeterminants and Matrices is the introductory course of Linear Algebra as it covers all the essentials for the study of Linear Algebra. This course is vital for any student wishing to pursue a degree in Science or Engineering.
This 70+ lecture course includes video explanations of everything from Fundamental of Determinats and Matrices, and it includes more than 60+ examples (with detailed solutions) to help you test your understanding along the way.
Determinants and Matrices : The Foundation of Linear Algebra is organized into the following sections:
Introduction to Determinants
Determinants Expansion
Properties of Determinants
Multiplication of Determinants
Differentiation and Integration of Determinants
Introduction To Matrices
Types of Matrices
Difference between a Matrix and a Determinant
Operations on Matrices
Various Kinds Of Matrices
Adjoint of a Square Matrix
Elementary Row and Column Transformation
Inverse of a Matrix
Echelon Form, Normal Form and Rank of a Matrix
Solution of Simultaneous Linear Equations
Reflection and Rotation of a Matrix