MATLAB FINANCIAL DERIVATIVES TOOLBOX Manual de usuario descargar pdf (Pagina 45)

2.2.2 Matrix Basic Manipulations

Subtraction and multiplication with a scalar are similar as with the vector

case. Matrix dimensions (

e) must match when performing manipulations

with addition and subtraction. Some examples follow:

Matlab’s command:

>> J=[-1 2 3 1; 5 2 4 2; 1 1 2 0]; I=[1 4 5 2; 8 7 5 1; -1 1 -1 1];

>> J+2*I, J(:,1)+I(:,2), J(1,:)-1/4*I(2,:)

Matlab’s response:

ans =

1 10 13 5

21 16 14 4

-1 3 0 2

ans =

-3.0000 0.2500 1.7500 0.7500

Comments:

Basic matrix addition, subtraction and scalar multiplication.

2.1.4 Matrix Manipulations Related to Products, Division, and

Powers

Similar rules as with the case of vectors apply to matrix manipulations

related with dot operations and products of matrices.

2.1.4.1 Matrix Dot Product, Division and Powers

It is straightforward to generalize the properties of dot operations from the

case of vectors to the case of two-dimensional arrays. The operations are

again performed element-by-element. Work on the following examples to

learn the use of dot operations with matrices (remember which operations

come first).

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MATLAB FINANCIAL DERIVATIVES TOOLBOX Manual de usuario Pagina 45