NAG FL Interface
h02bvf (ilp_​print)

1 Purpose

2 Specification

3 Description

4 References

5 Arguments

1: $\mathbf{n}$ – Integer Input

On entry: the number of variables, as returned by h02buf.

Constraint: $\mathbf{n}>0$.

2: $\mathbf{m}$ – Integer Input

On entry: the number of general linear constraints, as returned by h02buf.

Constraint: $\mathbf{m}\ge 0$.

3: $\mathbf{a}(\mathbf{lda},*)$ – Real (Kind=nag_wp) array Input

Note: the second dimension of the array a must be at least $\mathbf{n}$ if $\mathbf{m}>0$ and at least $1$ if $\mathbf{m}=0$.

On entry: the matrix of general linear constraints, as returned by h02buf.

4: $\mathbf{lda}$ – Integer Input

On entry: this must be the same argument maxm as supplied to h02buf.

Constraint: $\mathbf{lda}\ge \max (1,\mathbf{m})$.

5: $\mathbf{bl}\left(\mathbf{n}+\mathbf{m}\right)$ – Real (Kind=nag_wp) array Input

On entry: the lower bounds for all the constraints, as returned by e04mff/​e04mfa or h02bzf.

6: $\mathbf{bu}\left(\mathbf{n}+\mathbf{m}\right)$ – Real (Kind=nag_wp) array Input

On entry: the upper bounds for all the constraints, as returned by e04mff/​e04mfa or h02bzf.

7: $\mathbf{x}\left(\mathbf{n}\right)$ – Real (Kind=nag_wp) array Input

On entry: the solution to the problem, as returned by e04mff/​e04mfa or h02bbf.

8: $\mathbf{clamda}\left(\mathbf{n}+\mathbf{m}\right)$ – Real (Kind=nag_wp) array Input

On entry: the Lagrange-multipliers (reduced costs) for each constraint with respect to the working set, as returned by e04mff/​e04mfa or h02bzf.

9: $\mathbf{istate}\left(\mathbf{n}+\mathbf{m}\right)$ – Integer array Input

On entry: the status of every constraint in the working set at the solution, as returned by e04mff/​e04mfa or h02bzf.

10: $\mathbf{crname}\left(\mathbf{n}+\mathbf{m}\right)$ – Character(8) array Input

On entry: the user-defined names for all the variables and constraints, as returned by h02buf.

11: $\mathbf{ifail}$ – Integer Input/Output

On entry: ifail must be set to $0$, $\mathrm{-1}$ or $1$ to set behaviour on detection of an error; these values have no effect when no error is detected.

A value of $0$ causes the printing of an error message and program execution will be halted; otherwise program execution continues. A value of $\mathrm{-1}$ means that an error message is printed while a value of $1$ means that it is not.

If halting is not appropriate, the value $\mathrm{-1}$ or $1$ is recommended. If message printing is undesirable, then the value $1$ is recommended. Otherwise, the value $0$ is recommended. When the value $-\mathbf{1}$ or $\mathbf{1}$ is used it is essential to test the value of ifail on exit.

On exit: $\mathbf{ifail}=\mathbf{0}$ unless the routine detects an error or a warning has been flagged (see Section 6).

6 Error Indicators and Warnings

$\mathbf{ifail}=1$

On entry, $\mathbf{lda}=⟨\mathit{\text{value}}⟩$ and $\mathbf{m}=⟨\mathit{\text{value}}⟩$.
Constraint: $\mathbf{lda}\ge \max (1,\mathbf{m})$.

On entry, $\mathbf{m}=⟨\mathit{\text{value}}⟩$.
Constraint: $\mathbf{m}\ge 0$.

On entry, $\mathbf{n}=⟨\mathit{\text{value}}⟩$.
Constraint: $\mathbf{n}>0$.

$\mathbf{ifail}=-99$

An unexpected error has been triggered by this routine. Please contact NAG.

See Section 7 in the Introduction to the NAG Library FL Interface for further information.

$\mathbf{ifail}=-399$

Your licence key may have expired or may not have been installed correctly.

See Section 8 in the Introduction to the NAG Library FL Interface for further information.

$\mathbf{ifail}=-999$

Dynamic memory allocation failed.

See Section 9 in the Introduction to the NAG Library FL Interface for further information.

7 Accuracy

8 Parallelism and Performance

9 Further Comments

10 Example