DSDP
|
Functions | |
int | DSDPCreateLPCone (DSDP dsdp, LPCone *dspcone) |
Create a new object for linear programs and scalar inequalities. More... | |
int | LPConeCopyS (LPCone lpcone, double s[], int n) |
Copy the variables s into the spedified array. More... | |
int | LPConeGetDimension (LPCone lpcone, int *n) |
Get the dimension is the number of variables x, which equals the number of slack variables s. More... | |
int | LPConeGetXArray (LPCone lpcone, double *x[], int *n) |
Get the array used to store the x variables. More... | |
int | LPConeSetData (LPCone lpcone, int n, const int ik[], const int cols[], const double vals[]) |
Set data into the LP cone. More... | |
int | LPConeSetData2 (LPCone lpcone, int n, const int ik[], const int cols[], const double vals[]) |
Set data A and into the LP cone. More... | |
int | LPConeView (LPCone lpcone) |
Print the data in the LP cone to the screen. More... | |
int | LPConeView2 (LPCone lpcone) |
Print the data in the LP cone to the screen. More... | |
Routines that create the LP cone object for linear inequalites, set the data, and provide access to the solutions.
In DSDP Standard Form a pure linear program is given by the following pair of problems.
Slack variables must be positive. Variables
.
LP data may be used in conjuction with semidefinite data.
0 | if successful |
Create a new object for linear programs and scalar inequalities.
dsdp | the solver |
*dspcone | new LP Cone object |
int LPConeCopyS | ( | LPCone | lpcone, |
double | s[], | ||
int | n | ||
) |
Copy the variables s into the spedified array.
lpcone | LP Cone |
s | array |
n | the conic dimension and length of the array |
int LPConeGetDimension | ( | LPCone | lpcone, |
int * | n | ||
) |
Get the dimension is the number of variables x, which equals the number of slack variables s.
lpcone | LP Cone |
n | dimension |
Definition at line 616 of file dsdplp.c.
Referenced by DSDPPrintData().
int LPConeGetXArray | ( | LPCone | lpcone, |
double * | x[], | ||
int * | n | ||
) |
Get the array used to store the x variables.
lpcone | LP Cone |
x | array of variables |
n | the dimension of the cone and length of the array |
For example, after calling DSDPComputeX(),
Definition at line 556 of file dsdplp.c.
Referenced by DSDPPrintSolution().
LPConeSetData | ( | LPCone | lpcone, |
int | n, | ||
const int | ik[], | ||
const int | cols[], | ||
const double | vals[] | ||
) |
Set data into the LP cone.
lpcone | the LP cone |
n | the number of inequalities |
ik | the number of nonzeros in each column of the matrix |
cols | array of column numbers |
vals | array of LP data |
For example, consider the following problem in the form of (D):
In this example, there three inequalities, so the dimension of the x vector would be 3 and n=3. The input arrays would be as follows:
LPConeSetData2 | ( | LPCone | lpcone, |
int | n, | ||
const int | ik[], | ||
const int | cols[], | ||
const double | vals[] | ||
) |
Set data A and into the LP cone.
lpcone | the LP cone |
n | the number of inequalities |
ik | the number of nonzeros in each column of the matrix ![]() |
cols | array of column numbers in A |
vals | array of nonzeros in A and c |
For example, consider the following problem in the form of (D):
LPConeView | ( | LPCone | lpcone | ) |