Creating, access (entries, rows, columns, minors), arithmetic, and manipulation of matrices and vectors are shown in this video. Special matrices and vectors, relevant functions for them, element-wise operations, and other useful principles from linear algebra are discussed as well.
Creating a matrix: 0:25
Dimensions of a matrix (size): 9:14
Vectorizing and reshaping matrices: 10:08
Eliminating matrix entries: 12:45
Accessing matrix entries: 13:30
Special matrices (zeros, ones, rand, randi, randn): 18:55
Arithmetic of matrices and vectors: 33:14
Matrix transpose: 39:40
Dot product and cross product of vectors: 42:58
Forward division (/): 44:42
Matrix inverse and identity matrix: 45:10
Dot used with arithmetic operations of vectors and matrices (elementwise operation): 50:21
Backward division (\) and pseudo-inverse of a matrix: 51:20
Maximum and minimum values in a matrix/array and their locations (in2sub): 1:13:42
Sum, product, and average of entries in an array and in a matrix: 1:52:15
Finding entries with specific conditions in a matrix/array and their locations (find): 1:25:11
Trace and repmat for matrices: 1:27:56
Colon operator, "linspace" and "logspace" for creating equally-space data: 1:32:27
Difference between consecutive entries of a matrix (diff): 1:39:58
Multi-dimensional matrices: 1:41:10
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