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(Hindi) Engineering Mathematics - Matrix: GATE (General Aptitude)

65 lessons,

9h 11m

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202

1.
Matrix 1 - Introduction (in Hindi)
10:20
2.
Matrix 2 - Types of Matrices - a (in Hindi)
9:10
3.
Matrix 3 - Types of Matrices - b (in Hindi)
8:40
4.
Matrix 4 - Involuntary and nilpotant matrix (in Hindi)
9:07
5.
Matrix 5 - Addition properties (in Hindi)
9:35
6.
Matrix 6 - Multiplication of Matrices (in Hindi)
9:24
7.
Matrix 7 - MATRIX Multiplication numerical (in Hindi)
8:48
8.
Matrix 8 - Trace, transpose and conjugate of matrix (in Hindi)
8:43
9.
Matrix 9 - Real Matrices (in Hindi)
8:35
10.
Matrix 10 - Complex Matrices (in Hindi)
8:50
11.
Matrix 11 - Determinant (in hindi)
9:09
12.
Matrix 12 - minors and Co-factors (in hindi)
8:52
13.
Matrix 13 - Properties of Determinant (in hindi)
9:12
14.
Matrix 14 - Inverse of matrix (in hindi)
8:55
15.
Matrix 15 - NUMERICAL (hindi)
8:05
16.
Matrix 16 - NUMERICAL (in hindi)
8:14
17.
Matrix 17 - NUMERICAL (in hindi)
8:26
18.
Matrix 18 - NUMERICAL (in hindi)
8:47
19.
Matrix 19 - Rank of Matrix (in hindi)
8:18
20.
Matrix 20 - Rank of Matrix - numerical (in hindi)
8:40
21.
Matrix 21 - Rank of Matrix - numerical (in hindi)
8:09
22.
Matrix 22 - Homogenous linear equation (in hindi)
8:20
23.
Matrix 23 - Solution of AX =0
8:03
24.
Matrix 24 - Linear non Homogenous equations (in hindi)
8:05
25.
Matrix 25 - Consistency condition (in hindi)
8:07
26.
Matrix 26 - Linear equation numerical (in hindi)
9:41
27.
Matrix 27 - Linear equation numerical (in hindi)
8:27
28.
Matrix 28 - Linear equation numerical (in hindi)
8:52
29.
Matrix 29 - Introduction to Eigen values (in hindi)
8:02
30.
Matrix 30 - Characteristic roots
8:01
31.
Matrix 31 - Eigen value numerical (in hindi)
8:01
32.
Matrix 32 - Eigen value numerical (in hindi)
8:01
33.
Matrix 33 - Properties of eigen values (in hindi)
8:04
34.
Matrix 33 (extended) - Properties of eigen values (in hindi)
8:31
35.
Matrix 34 - Eigen value numerical (in hindi)
9:07
36.
Matrix 35 - Eigen value numerical (in hindi)
8:09
37.
Matrix 36 - Cayley Hamilton theorem (in hindi)
8:39
38.
Matrix 37 - C H theorem numerical
8:44
39.
Matrix 38 - Similar matrix (in hindi)
8:42
40.
Matrix - Practise set 1 (in hindi)
8:57
41.
Matrix - Practise set 2 (in hindi)
8:06
42.
Matrix - Practise set 3 (in hindi)
8:27
43.
Matrix - Practise set 4 (in hindi)
8:04
44.
Matrix - Practise set 5
8:45
45.
Matrix - Practise set 6
8:02
46.
MATRIX - PRACTISE SET 7
8:01
47.
Matrix - Practise set 8
8:07
48.
Matrix - Practise set 9
8:08
49.
Matrix - Practise set 10
8:06
50.
Matrix - Practise set 11
8:07
51.
Matrix - Practise set 12
8:01
52.
Matrix - Practise set 13
8:19
53.
Matrix - Practise set 14
8:02
54.
Matrix - Practise set 15
8:16
55.
Matrix - Practise set 16
8:02
56.
Matrix - Practise set 17
7:59
57.
Matrix - Practise set 18
8:29
58.
Matrix - Practise set 19
8:14
59.
Matrix - Practise set 20
8:02
60.
Matrix - Practise set 21
8:15
61.
Matrix - Practise set 22
8:17
62.
Matrix - Practise set 23
8:04
63.
Mps - 24 - Practise set (in hindi)
8:17
64.
Mps - 25 - Practise set (in hindi)
8:07
65.
Mps - 26 - Practise set (in hindi)
8:06
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Prakhar Shrivastava

Comments

Unacademy user

Varun Balachandran

2 years ago

At time 9:14 of video answer is F(3L - 2b)/4b^3 you have written it as F(3L - 2b)/4b^2

Ritika Sachan

2 years ago

Yes you got it right.

Mayank Jain

a year ago

please highlight your word 'this' with the marker or anything available there.. I don't understand where u said this if there is 2 figure..