nag_opt_sparse_convex_qp_init (e04npc) (PDF version)
e04 Chapter Contents
e04 Chapter Introduction
NAG Library Manual

NAG Library Function Document

nag_opt_sparse_convex_qp_init (e04npc)

 Contents

    1  Purpose
    7  Accuracy
    10  Example

1  Purpose

nag_opt_sparse_convex_qp_init (e04npc) is used to initialize the function nag_opt_sparse_convex_qp_solve (e04nqc).

2  Specification

#include <nag.h>
#include <nage04.h>
void  nag_opt_sparse_convex_qp_init (Nag_E04State *state, NagError *fail)

3  Description

nag_opt_sparse_convex_qp_init (e04npc) initializes the structure state for the function nag_opt_sparse_convex_qp_solve (e04nqc).

4  References

None.

5  Arguments

1:     state Nag_E04State *Communication Structure
state contains internal information required for functions in this suite. It must not be modified in any way.
2:     fail NagError *Input/Output
The NAG error argument (see Section 3.6 in the Essential Introduction).

6  Error Indicators and Warnings

NE_ALLOC_FAIL
Dynamic memory allocation failed.
See Section 3.2.1.2 in the Essential Introduction for further information.
NE_BAD_PARAM
On entry, argument value had an illegal value.
NE_INTERNAL_ERROR
An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact NAG for assistance.
An unexpected error has been triggered by this function. Please contact NAG.
See Section 3.6.6 in the Essential Introduction for further information.
NE_NO_LICENCE
Your licence key may have expired or may not have been installed correctly.
See Section 3.6.5 in the Essential Introduction for further information.

7  Accuracy

Not applicable.

8  Parallelism and Performance

Not applicable.

9  Further Comments

The time taken by nag_opt_sparse_convex_qp_init (e04npc) is negligible.

10  Example

See Section 10 in nag_opt_sparse_convex_qp_solve (e04nqc) and nag_opt_sparse_convex_qp_option_set_file (e04nrc).

nag_opt_sparse_convex_qp_init (e04npc) (PDF version)
e04 Chapter Contents
e04 Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2015