Matrix operations Gauss Tutorial

Is there a good tutorial that describes all the possible element-by-element operations and conformability in GAUSS? I understand that they are more extensive than the standard case where the matrices have to be of the same size, but I cannot find a good tutorial on the internet to understand all the possible cases.

Any help would be greatly appreciated.

 

1 Answer



0



These videos, especially number 3, explain how matrix operations work in GAUSS

1. GAUSS Basics: Intro to Matrices.
2. GAUSS Basics: Matrix Operations.
3. GAUSS Basics: Element by Element Conformability.

Here are some of the main points:

  1. A scalar is Element-by-Element (ExE) conformable with a vector or matrix of any size.
  2. A vector or matrix will be ExE conformable of another vector or matrix with the same dimensions.
  3. A row vector is ExE conformable with a matrix that has the same number of columns as the row vector.
  4. A row vector is also ExE conformable with any column vector.
  5. A column vector is ExE conformable with a matrix that has the same number of rows as the column vector.

1. Scalar with Matrix or Vector
This is pretty straightforward and probably already known.

//Create a scalar
s = 2.5;

//Create a 2x2 matrix
x = { 4 3,
      2 1 };

out = s .* x;
out = 8 6
      4 2

2. Vectors or matrices of the same size
This is also pretty straightforward and probably already known.

//Create a 2x2
a = { 5 4,
      3 9 };

//Create a 2x2 matrix
b = { 4 3,
      2 1 };

out = a .* b;
out = 20 12
       6  9

3. Row Vectors with a matrix with same number of columns
Each element of the row vector, a will multiply down a column of b.

//Create a 1x4 row vector
a = { 5 4 3 9 };

//Create a 3x4 matrix
b = { 4 3 2 7,
      2 1 3 5,
     10 9 8 1 };

out = a .* b;
out = 20     12      6     63 
      10      4      9     45 
      50     36     24      9

4. Row Vector with a column vector
The column vector b will be expanded to have as many columns as the row vector, a. Then each element of a will multiply down the newly expanded columns of b.

//Create a 1x4 row vector
a = { 5 4 3 9 };

//Create a 3x1 matrix
b = { 4,
      2,
     10 };

out = a .* b;
out = 20     16     12     36 
      10      8      6     18 
      50     40     30     90

aptech

1,773

Your Answer

1 Answer

0

These videos, especially number 3, explain how matrix operations work in GAUSS

1. GAUSS Basics: Intro to Matrices.
2. GAUSS Basics: Matrix Operations.
3. GAUSS Basics: Element by Element Conformability.

Here are some of the main points:

  1. A scalar is Element-by-Element (ExE) conformable with a vector or matrix of any size.
  2. A vector or matrix will be ExE conformable of another vector or matrix with the same dimensions.
  3. A row vector is ExE conformable with a matrix that has the same number of columns as the row vector.
  4. A row vector is also ExE conformable with any column vector.
  5. A column vector is ExE conformable with a matrix that has the same number of rows as the column vector.

1. Scalar with Matrix or Vector
This is pretty straightforward and probably already known.

//Create a scalar
s = 2.5;

//Create a 2x2 matrix
x = { 4 3,
      2 1 };

out = s .* x;
out = 8 6
      4 2

2. Vectors or matrices of the same size
This is also pretty straightforward and probably already known.

//Create a 2x2
a = { 5 4,
      3 9 };

//Create a 2x2 matrix
b = { 4 3,
      2 1 };

out = a .* b;
out = 20 12
       6  9

3. Row Vectors with a matrix with same number of columns
Each element of the row vector, a will multiply down a column of b.

//Create a 1x4 row vector
a = { 5 4 3 9 };

//Create a 3x4 matrix
b = { 4 3 2 7,
      2 1 3 5,
     10 9 8 1 };

out = a .* b;
out = 20     12      6     63 
      10      4      9     45 
      50     36     24      9

4. Row Vector with a column vector
The column vector b will be expanded to have as many columns as the row vector, a. Then each element of a will multiply down the newly expanded columns of b.

//Create a 1x4 row vector
a = { 5 4 3 9 };

//Create a 3x1 matrix
b = { 4,
      2,
     10 };

out = a .* b;
out = 20     16     12     36 
      10      8      6     18 
      50     40     30     90

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