Abstract is missing.
- Is numerical software relevant? Is it too late to worry about quality?James C. T. Pool. 3-11
- The T-experiments: errors in scientific softwareLes Hatton. 12-31
- If software quality is a perception, how do we measure it?W. Morven Gentleman. 32-43
- Improving quality through user-centered designCherri M. Pancake. 44-60
- A functional approach to software reliability modelingJohn C. Munson. 61-76
- Quality of service and scientific workflowsMladen A. Vouk, Munindar P. Singh. 77-89
- Improving the quality of software quality determination processesLeon J. Osterweil. 90-105
- Testing linear algebra softwareNicholas J. Higham. 109-124
- Matrix Market: a web resource for test matrix collectionsRonald F. Boisvert, Roldan Pozo, Karin A. Remington, Richard F. Barrett, Jack Dongarra. 125-137
- A methodology for testing classes of approximation and optimisationBernard Butler, Maurice Cox, Alistair Forbes, Simon Hannaby, Peter Harris. 138-151
- Evaluation of minimization software based on performance profile techniquesJ. N. Lyness. 152-154
- Testing functions of one and two argumentsW. Van Snyder. 155-166
- A proposed software test service for special functionsDaniel W. Lozier. 167-178
- The evaluation of numerical software for delay differential equationsWayne H. Enright, H. Hayashi. 179-193
- Designing and building a new numerical library in Fortran 90Jeremy Du Croz. 197-209
- Two approaches to exeption handling in FortranJ. K. Reid. 210-223
- Developing ODE software in new computing environmentsLawrence F. Shampine, M. W. Reichelt. 224-235
- Case studies on the development of ScaLAPACK and the NAG Numerical PVM LibraryJack Dongarra, Sven Hammarling, Antoine Petitet. 236-248
- Why we couldn t use numerical libraries for PETScWilliam Gropp. 249-254
- Automatic parallel program generation for finite element analysisShun Doi, Hidehiro Fujio, Kouta Sugihara. 255-266
- Network-based scientific computation via InfernoWilliam M. Coughran Jr.. 267-269
- Real InfernoEric Grosse. 270-279
- The XSC tools for extended scientific computingUlrich W. Kulisch. 280-284
- Automatic differentiation and numerical software designChristian H. Bischof. 287-299
- Is nonnormality a serious computational difficulty in practice?Françoise Chaitin-Chatelin. 300-314
- Reliability of local error control algorithms for initial value ordinary differential equationsDesmond J. Higham. 315-325
- Efficiency of global adaptive quadratureIan Gladwell, Malgorzata A. Napierala. 326-329
- Software testing and evaluation in large-scale scientific applicationsMo Mu. 330-332
- The visual diagnosis on numerical calculation of PDE problems and experimentsYukio Umetani. 333-344
- Some fundamental limitations of mathematical software revealed by the calculation of spacetime curvatureS. L. Lee, W. E. Schiesser. 345-348
- Development of efficient general purpose Monte Carlo codes used in nuclear engineeringM. Nakagawa. 349-360
- New resource-sparing grid methods for solving the problems of mathematical physicsYu. I. Shokin. 361-372
- The Quality of Numerical Software: Assessment and Enhancement375-380