Abstract is missing.
- 1. What Can Go Wrong in Scientific Computing?Bo Einarsson. 3-12 [doi]
- 2. Assessment of Accuracy and ReliabilityRonald F. Boisvert, Ronald Cools, Bo Einarsson. 13-32 [doi]
- 3. Approximating Integrals, Estimating Errors, and Giving the Wrong Solution for a Deceptively Easy ProblemRonald Cools. 33-42 [doi]
- 4. An Introduction to the Quality of Computed SolutionsSven Hammarling. 43-76 [doi]
- 5. Qualitative ComputingFrançoise Chaitin-Chatelin, Elisabeth Traviesas-Cassan. 77-92 [doi]
- 6. PRECISE and the Quality of Reliable Numerical SoftwareFrançoise Chaitin-Chatelin, Elisabeth Traviesas-Cassan. 95-108 [doi]
- 7. Tools for the Verification of Approximate Solutions to Differential EquationsWayne H. Enright. 109-121 [doi]
- 8. General Methods for Implementing Reliable and Correct SoftwareBo Einarsson, Brian Wichmann, Kenneth W. Dritz, Craig C. Douglas, Hans Petter Langtangen, Van Snyder, Ronald F. Boisvert, Roldan Pozo. 125-171 [doi]
- 9. The Use and Implementation of Interval Data TypesG. William Walster. 173-194 [doi]
- 10. Computer-Assisted Proofs and Self-Validating MethodsSiegfried M. Rump. 195-240 [doi]
- 11. Hardware-Assisted AlgorithmsCraig C. Douglas, Hans Petter Langtangen. 241-251 [doi]
- 12. Issues in Accurate and Reliable Use of Parallel Computing in Numerical ProgramsWilliam D. Gropp. 253-263 [doi]
- 13. Software-Reliability Engineering of Numerical SystemsMladen A. Vouk. 265-299 [doi]