Data Mining Algorithms In R/Packages/optimsimplex/Set functions
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Description
[edit | edit source]The functions assign content to various elements of a simplex object:
- optimsimplex.setall Set all the coordinates and the function values of all the vertices.
- optimsimplex.setallfv Set all the function values of all the vertices.
- optimsimplex.setallx Set all the coordinates of all the vertices.
- optimsimplex.setfv Set the function value at a givenindex.
- optimsimplex.setn Set the dimension of the space of the simplex.
- optimsimplex.setnbve Set the number of vertices of the simplex.
- optimsimplex.setve Set the coordinates of the vertex and the function values at a given index in the current simplex.
- optimsimplex.setx Set the coordinates of the vertex at a given index in the current simplex.
Usage
[edit | edit source]optimsimplex.setall(this = NULL, simplex = NULL) optimsimplex.setallfv(this = NULL, fv = NULL) optimsimplex.setallx(this = NULL, x = NULL) optimsimplex.setfv(this = NULL, ive = NULL, fv = NULL) optimsimplex.setn(this = NULL, n = NULL) optimsimplex.setnbve(this = NULL, nbve = NULL) optimsimplex.setve(this = NULL, ive = NULL, fv = NULL, x = NULL) optimsimplex.setx(this = NULL, ive = NULL, x = NULL)
Arguments
[edit | edit source]this | A simplex object. |
simplex | The simplex to set. It is expected to be a nbve x n+1 matrix where n is the dimension of the space, nbve is the number of vertices and with the following content:
|
fv | A row vector of function values; fv[k] is expected to be the function value for the vertex k, with k = 1 to nbve. For optimsimplex.setfv, fv is expected to be a numerical scalar. |
x | The nbve x n matrix of vertice coordinates; the vertex is expected to be stored in x[k,1:n], with k = 1 to nbve. For optimsimplex.setve and optimsimplex.setx, x is expected to be a row matrix. |
ive | Vertex index. |
n | The dimension of the space of the simplex. |
nbve | The number of vertices of the simplex. |
Value
[edit | edit source]Return a updated simplex object this.
Authors
[edit | edit source]Author of Scilab optimsimplex module: Michael Baudin (INRIA - Digiteo)
Author of R adaptation: Sebastien Bihorel (sb.pmlab@gmail.com)