(Hindi) Engineering Mathematics - Matrix: GATE (General Aptitude)
4.7
36 ratings
•
3 reviews
Prakhar Shrivastava
This Course is about Covered complete GATE Syllabus along with previous year numerical. This Course is beneficial for GATE (General Aptitude) aspirants.
Lessons
65 lessons • 5 h 37 m
Matrix 1 - Introduction (in Hindi)
10m 20s
Matrix 2 - Types of Matrices - a (in Hindi)
9m 10s
Matrix 3 - Types of Matrices - b (in Hindi)
8m 40s
Matrix 4 - Involuntary and nilpotant matrix (in Hindi)
9m 07s
Matrix 5 - Addition properties (in Hindi)
9m 35s
Matrix 6 - Multiplication of Matrices (in Hindi)
9m 24s
Matrix 7 - MATRIX Multiplication numerical (in Hindi)
8m 48s
Matrix 8 - Trace, transpose and conjugate of matrix (in Hindi)
8m 43s
Matrix 9 - Real Matrices (in Hindi)
8m 35s
Matrix 10 - Complex Matrices (in Hindi)
8m 50s
Matrix 11 - Determinant (in hindi)
9m 09s
Matrix 12 - minors and Co-factors (in hindi)
8m 52s
Matrix 13 - Properties of Determinant (in hindi)
9m 12s
Matrix 14 - Inverse of matrix (in hindi)
8m 55s
Matrix 15 - NUMERICAL (hindi)
8m 05s
Matrix 16 - NUMERICAL (in hindi)
8m 14s
Matrix 17 - NUMERICAL (in hindi)
8m 26s
Matrix 18 - NUMERICAL (in hindi)
8m 47s
Matrix 19 - Rank of Matrix (in hindi)
8m 18s
Matrix 20 - Rank of Matrix - numerical (in hindi)
8m 40s
Matrix 21 - Rank of Matrix - numerical (in hindi)
8m 09s
Matrix 22 - Homogenous linear equation (in hindi)
8m 20s
Matrix 23 - Solution of AX =0
8m 03s
Matrix 24 - Linear non Homogenous equations (in hindi)
8m 05s
Matrix 25 - Consistency condition (in hindi)
8m 07s
Matrix 26 - Linear equation numerical (in hindi)
9m 41s
Matrix 27 - Linear equation numerical (in hindi)
8m 27s
Matrix 28 - Linear equation numerical (in hindi)
8m 52s
Matrix 29 - Introduction to Eigen values (in hindi)
8m 02s
Matrix 30 - Characteristic roots
8m 01s
Matrix 31 - Eigen value numerical (in hindi)
8m 01s
Matrix 32 - Eigen value numerical (in hindi)
8m 01s
Matrix 33 - Properties of eigen values (in hindi)
8m 04s
Matrix 33 (extended) - Properties of eigen values (in hindi)
8m 31s
Matrix 34 - Eigen value numerical (in hindi)
9m 07s
Matrix 35 - Eigen value numerical (in hindi)
8m 09s
Matrix 36 - Cayley Hamilton theorem (in hindi)
8m 39s
Matrix 37 - C H theorem numerical
8m 44s
Matrix 38 - Similar matrix (in hindi)
8m 42s
Matrix - Practise set 1 (in hindi)
8m 57s
Matrix - Practise set 2 (in hindi)
8m 06s
Matrix - Practise set 3 (in hindi)
8m 27s
Matrix - Practise set 4 (in hindi)
8m 04s
Matrix - Practise set 5
8m 45s
Matrix - Practise set 6
8m 02s
MATRIX - PRACTISE SET 7
8m 01s
Matrix - Practise set 8
8m 07s
Matrix - Practise set 9
8m 08s
Matrix - Practise set 10
8m 06s
Matrix - Practise set 11
8m 07s
Matrix - Practise set 12
8m 01s
Matrix - Practise set 13
8m 19s
Matrix - Practise set 14
8m 02s
Matrix - Practise set 15
8m 16s
Matrix - Practise set 16
8m 02s
Matrix - Practise set 17
7m 59s
Matrix - Practise set 18
8m 29s
Matrix - Practise set 19
8m 14s
Matrix - Practise set 20
8m 02s
Matrix - Practise set 21
8m 15s
Matrix - Practise set 22
8m 17s
Matrix - Practise set 23
8m 04s
Mps - 24 - Practise set (in hindi)
8m 17s
Mps - 25 - Practise set (in hindi)
8m 07s
Mps - 26 - Practise set (in hindi)
8m 06s
Reviews
4.7
3 reviews
Write a review
Sunny Prabhat
reviewed on Nov 19, 2019
I never got a good maths teacher until I watch prakhar Shrivastava sir lecture.he is best anyone can have.
Abhishek kumar
reviewed on Jun 28, 2019
jber10st lecture sir but please also complete the CAD/CAM SYLLABUS BEFORE GATE 2020
Anustha Sonad
reviewed on Jan 12, 2019
Explanation of concept is too good and this is very helpful for me. You have to be a good teacher for no reason!