Keep practising for different examples and you’ll naturally start to use conditional loops where repetitive calculations are required.įor any questions, observations and queries regarding the article, use the comment form below. (example : length(sparse(eye(12,2))) returns max(12,2) and not 24) please use size(.,'') with sparse matrix. WARNING : length of a sparse matrix returns the max of dimensions and not the product of the dimensions. Vectorization means that we apply mathematical operations to array (vector) variables instead of scalars (individual elements).įor our particular example we can calculate the f function simply as: ->x = Ĭonditional loops are heavily used in any kind of programming languages. The length of a list is the number of elements in the list (also given by size). Vectorization (array programming)įor these simple example we can also use vectorization also named array programming. Using the Scilab function length we extract the number of elements of the vector (in our case is 17). The loop is executed, starting with index 1, for each value of the angle vector. The i is the index of the angle vector, and f is the function we want to calculate. The angle variable is defined as a vector, starting from 0 up to 2π, with π/8 increments. In this example the argument of the function alpha is different than the index i. The Scilab script to evaluate the functions is: angle = Scilab Variables – naming, real numbers, constantsīuilding complex algorithms often requires repetitive actions. For example we need to evaluate the function f(x) defined below, for different values of x: \.In this article we are going to learn about:īefore going through this article, it is recommended to have a basic understanding about:
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