Refinement of fast wavelet-based algorithms for linear initial value problems

Stanley Osher; A. Jiang; Bjorn Engquist

doi:10.1117/12.170021

15 March 1994 Refinement of fast wavelet-based algorithms for linear initial value problems

Stanley Osher, A. Jiang, Bjorn Engquist

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170021
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

It is commonly acknowledged that there is a tradeoff between schedule quality and schedule robustness. In general terms, schedules that are of high quality tend to be of low robustness, and schedules that are robust tend to be of low quality. To better manage the robustness/quality tradeoff, we have developed an algorithm that implements what we call 'Just-in-Case' scheduling; this algorithm explicitly considers the way in which scheduled actions might fail and how such failures can impact the executability of a schedule. 'Just-in-Case' scheduling is able to build schedules that are robust and of high quality. The 'Just- In-Case' algorithm is motivated in this paper by a specific telescope scheduling problem, and the paper presents the results of an experiment, carried out using real telescope scheduling data, that illustrates the performance improvement one can expect from using it.

Citation Download Citation

Stanley Osher, A. Jiang, and Bjorn Engquist "Refinement of fast wavelet-based algorithms for linear initial value problems", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170021

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