| Article ID: | iaor20073414 |
| Country: | France |
| Volume: | 41 |
| Issue: | 1 |
| Start Page Number: | 19 |
| End Page Number: | 34 |
| Publication Date: | Jan 2007 |
| Journal: | RAIRO Operations Research |
| Authors: | Ferris Michael C., Armand Paul, Wathen Andrew J. |
| Keywords: | programming: nonlinear |
We describe the solution of a bound constrained convex quadratic problem with limited memory resources. The problem arises from physical simulations occurring within video games. The motivating problem is outlined, along with a simple interior point approach for its solution. Various linear algebra issues arising in the implementation are explored, including preconditioning, ordering and a number of ways of solving an equivalent augmented system. Alternative approaches are briefly surveyed, and some recommendations for solving these types of problems are given.