Playlist Duration

Playlist · NPTEL IIT Delhi

Matrix Computation and its applications

by NPTEL IIT Delhi · 59 videos

Total watch time

1d 14h 34m

at 1× speed · exactly 1 day, 14 hours, 33 minutes, 32 seconds at 1×

At an hour a day you'd finish in 39 days

The shape of the course

59 videos in blocks of 10 · each column is a block's total, to scale

5h 3m
5h 38m
6h 10m
6h
8h 1m
7h 41m

WatchedTo watch

Compare Open on YouTube JSON

Next time, skip the copying: change youtube.com to playlistduration.com in any playlist, video or channel address and it opens here. Or see the total on YouTube itself, with our extension for Chrome, Firefox or Edge.

Your plan

Plan to finish

About 39 days at an hour a day

Pick a daily pace and the days you'll watch. Ticked videos are skipped.

Days

At one hour a day, every day, this playlist takes about 39 days. Turn on JavaScript to plan around your week.

Videos (59)

1d 14h 34m in total · tick what you've watched

Tick videos you've watched — progress is saved in this browser. Titles open on YouTube in a new tab.

Videos to
Watched
1 INTRO 4:59 2021-07-09
2 Binary Operation and Groups 32:34 2021-07-21
3 Vector Spaces 32:44 2021-07-21
4 Some Example of Vector Spaces 33:34 2021-07-21
5 Some Example of Vector Spaces (contd.) 32:07 2021-07-21
6 Subspace of a Vector Space 33:14 2021-07-21
7 Spanning Set 31:21 2021-07-21
8 Properties of Subspace 33:44 2021-07-30
9 Properties of Subspace (contd.) 33:57 2021-07-30
10 Linearly independent and dependent vectors 34:28 2021-07-30
11 Linearly independent and dependent vectors (contd.) 33:26 2021-07-30
12 Properties of linearly independent and dependent vectors 34:16 2021-07-30
13 Properties of linearly independent and dependent vectors (contd.) 33:53 2021-07-30
14 Basis and Dimension of a Vector Space 34:33 2021-08-06
15 Examples of Basis and standard basis of a vector space 33:03 2021-08-06
16 Linear Functions 33:42 2021-08-06
17 Range space of a matrix and row reduced echelon form 36:09 2021-08-06
18 Row equivalent matrices 32:26 2021-08-06
19 Row equivalent matrices (contd.) 32:23 2021-08-06
20 Null Space of a Matrix 34:26 2021-08-11
21 Four subspaces associated with a given matrix 33:18 2021-08-11
22 Four subspaces associated with a given matrix (contd.) 38:28 2021-08-11
23 Linear Independence of the rows and columns of a matrix 32:14 2021-08-11
24 Application of diagonal dominant matrices 37:29 2021-08-11
25 Application of Zero Null space: Interpolating polynomial and wronskian matrix 36:48 2021-08-11
26 Characterization of basis of a vector space and its subspaces 44:36 2021-08-20
27 Coordinate of a vector with respect to ordered basis 32:23 2021-08-20
28 Examples of different subspaces of a vector space of polynomials having degree less than or equal 3 42:31 2021-08-20
29 Linear transformation 33:51 2021-08-20
30 Properties of linear transformation 38:44 2021-08-20
31 Determining linear transformation on a vector space by its value on the basis element 33:59 2021-08-20
32 Range space and null space of a linear transformation 32:18 2021-08-27
33 Rank and nuility of a linear transformation 33:59 2021-08-27
34 Rank-nuility theorem 38:53 2021-08-27
35 Application of rank-nuility theorem and inverse of a linear transformation 35:45 2021-08-27
36 Matrix associated with linear transformation 35:05 2021-08-27
37 Matrix representation of a linear transformation relative to ordered bases 36:56 2021-08-27
38 Matrix representation of a linear transformation relative to ordered bases (contd.) 36:58 2021-08-27
39 Linear map associated with a matrix 34:13 2021-08-27
40 Similar matrices and diagonalisation of matrix 41:48 2021-08-27
41 Orthonormal bases of a vector space 41:40 2021-08-27
42 Gram-Schmidt orthogonalisation process 44:01 2021-09-10
43 QR factorisation 32:52 2021-09-10
44 Inner Product Spaces 43:04 2021-09-10
45 Inner product on different real vector spaces and basis of complex vector space 54:12 2021-09-10
46 Inner product on complex vector spaces and Cauchy-Schwarz inequality 59:13 2021-09-10
47 Norm of a vector 46:24 2021-09-10
48 Matrix norm 1:00:58 2021-09-10
49 Sensitivity analysis of a system of linear equations 56:48 2021-09-10
50 Orthogonality of the four subspaces associated with a Matrix 42:16 2021-09-10
51 Best approximation : Least square method 1:03:34 2021-09-10
52 Best approximation : Least square method (contd.) 54:37 2021-09-24
53 Jordan-Canonical Form 46:17 2021-09-24
54 Some examples on the Jordan form of a given matrix and generalised eigenvectors 46:44 2021-10-01
55 Singular value decomposition (SVD) theorem 57:10 2021-10-01
56 Matlab / Octave code for solving SVD 32:55 2021-10-01
57 Pseudo-inverse/Moore-Penrose inverse 1:04:12 2021-10-01
58 Householder transformation 47:03 2021-10-01
59 Matlab/Octave code for Householder transformation 48:17 2021-10-01
For your README

Embed a badge

Show the watch time in a README or course description — it links back here and updates itself

Watch time: 1d 14h 34m · 59 videos

Markdown
[![Watch time: 1d 14h 34m · 59 videos](https://playlistduration.com/badge/playlist/PLp6ek2hDcoNDjDTiFlWp-Lx0XshPvX1tR.svg)](https://playlistduration.com/playlist/PLp6ek2hDcoNDjDTiFlWp-Lx0XshPvX1tR)
HTML
<a href="https://playlistduration.com/playlist/PLp6ek2hDcoNDjDTiFlWp-Lx0XshPvX1tR"><img src="https://playlistduration.com/badge/playlist/PLp6ek2hDcoNDjDTiFlWp-Lx0XshPvX1tR.svg" alt="Watch time: 1d 14h 34m · 59 videos" width="228" height="20"></a>

Add ?speed=1.5 to the image URL for the time at that speed, ?label=Course to change the left text, or ?style=flat-square for square corners.

Want the numbers themselves? GET https://playlistduration.com/api/v1/playlist/PLp6ek2hDcoNDjDTiFlWp-Lx0XshPvX1tR returns them as JSON — free, no key. API docs →

Data from the YouTube Data API as of 2026-10-25 (cached). Private or deleted videos are excluded from totals.