Abstract
In this paper we shall describe numerical methods that were devised for the purpose of computing small scale behavior without either fully resolving the whole solution or explicitly tracking certain singular parts of it. Techniques developed for this purpose include shock capturing, front capturing, and multiscale analysis. Areas in which these methods have recently proven useful include image processing, computer vision, and differential geometry, as well as more traditional fields of physics and engineering.
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References
L. Alvarez, F. Guichard, P. L. Lions, and J. M. Morel, Axioms and fundamental equations of image processing, Arch. Rational Mech. Anal., 123, (1993), 199–258.
G. Beylkin, R. Coifman, and V. Rokhlin,Fast wavelet transforms and numerical algorithms, I, Comm. Pure Appl. Math., 64, (1991), 141–184.
J. Brackbill, D. Kothe, and C. Zemach,A continuum method for modeling surface tension, J. Comput. Phys., 100, (1992), 335–353.
V. Caselles, F. Catte, T. Coll, and F. Dibos, A geometric model for active contours in image processing, Numer. Math., 66, (1993), 1–31.
Y. C. Chang, T. Y. Hou, B. Merriman, and S. Osher,A level set formulation of Eulerian interface capturing methods for incompressible fluid flows, to appear, J. Comput. Phys., (1994).
S. Chen, B. Merriman, P. Smereka, and S. Osher,A fast level set based algorithm for Stefan problems, preprint, (1994).
Y. G. Chen, Y. Giga, and S. Goto, Uniqueness and existence of viscosity solutions of generalized mean curvature flow equations, J. Differential Geom., 23, (1986), 749–785.
R. Coifman and Y. Meyer,Remarques sur l’analyse de Fourier à fenetre, serie I, C. R. Acad. Sci. Paris, 312, (1991), 259–261
D. Dobson and F. Santosa, An image enhancement for electrical impedance tomography, inverse problems, to appear, (1994).
B. Engquist, E. Fatemi, and S. Osher,Numberical Solution of the High Frequency Asymptotic Expansion for Hyperbolic Equations, In Proceedings of the 10th Annual Review of Processers in Applied Computational Electromagnetics, Monterey, CA, (1994), A. Terzuoli, ed., vol.1, 32–44.
B. Engquist, S. Osher, and S. Zhong, Fast wavelet algorithms for linear evolution equations, SIAM J. Sci. Statist. Comput., 15, (1994), 755–775.
L. C. Evans, M. Soner, and P. Souganidis, Phase transitions and generalized motion by mean curvature, Comm. Pure Appl. Math., 45, (1992), 1097–1123.
L. C. Evans and J. Spruck, Motion of level sets by mean curvature, I, J. Differential Geom., 23, (1986), 69–96.
S. Godunov, A difference scheme for computation of discontinuous solutions of equations of fluid dynamics, Math. Sbornik, 47, (1959), 271–306.
E. Harabetian and S. Osher,Stabilizing ill-posed problems via the level set approach, preprint, (1994).
A. Harten, Recent developments in shock capturing schemes, Proc Internat. Congress Math., Kyoto 1990, (1990), 1549–1573.
A. Harten, B. Engquist, S. Osher, and S. R. Chakravarthy,Uniformly high order accurate essentially nonosdilatory schemes, III, J. Comput. Phys., 71, (1987), 231–303.
A. Harten and S. Osher,Uniformly high–order accurate nonoscillatory schemes, I, SINUM, 24, (1987), 279–304.
A. Jiang,Fast Wavelet algorithms for solving linear equations, Ph.D. Prospectus, UCLA Math., (1993).
M. Kang, P. Smereka, B. Merriman, and S. Osher,On moving interfaces by volume preserving velocities or accelerations, preprint, (1994).
R. Kimmel, N. Kiryati, and A. Bruckstein,Sub–pixel distance maps and weighted distance transforms, JMIV, to appear, (1994).
G. Koepfler, C. Lopez, and J. M. Morel,A multiscale algorithm for image segmen¬tation by variational method, SINUM, 31, (1994), 282–299.
R. Krasny, Computing vortex sheet motion, Proc. Internat. Congress Math., Kyoto 1990, (1990), 1573–1583.
P. D. Lax, Weak solutions of nonlinear hyperbolic equations and their numerical computation, Comm. Pure Appl. Math., 7, (1954), 159–193.
P. D. Lax and B. Wendroff, Systems of conservation laws, Comm. Pure Appl. Math., 13, (1960), 217–237.
P. L. Lions, S. Osher, and L. Rudin,Denoising and deblurring images with con¬strained nonlinear partial differential equations, submitted to SINUM.
P. L. Lions, E. Rouy, and A. Tourin,Shape from shading, viscosity solutions, and edges, Numer. Math., 64, (1993), 323–354.
B. Merriman, J. Bence, and S. Osher,Motion of multiple junctions: A level set approach, J. Comput. Phys., 112, (1994), 334–363.
W. Noh and P. Woodward, A simple line interface calculation, Proceeding, Fifth Int’l. Conf. on Fluid Dynamics, A.I. van de Vooran and D. J. Zandberger, eds., Springer-Verlag, (1970).
S. Osher and L. I. Rudin, Feature-oriented image enhancement using shock filters, SINUM, 27, (1990), 919–940.
S. Osher and J. A. Sethian, Fronts propagating with curvature dependent speed, algorithms based on a Hamilton-Jacobi formulation, J. Comput. Phys., Vol 79, (1988), 12–49.
S. Osher and C.-W. Shu, High-order essentially nonosdilatory schemes for Hamilton-Jacobi equations, SINUM, 28, (1991), 907–922.
A. Rogerson and E. Meiburg, A numerical study of convergence properties of ENO schemes, J. Sci. Comput., 5, (1990), 151–167.
J. G. Rosen, The gradient projection method for nonlinear programming, II, Non-linear constraints, J. SIAM, 9, (1961), 514–532.
E. Rouy and A. Tourin, A viscosity solution approach to shape from shading, SINUM, 27, (1992), 867–884.
L. Rudin, Images, numerical analysis of singularities, and shock filters, Caltech Comp. Sc. Dept. Report # TR 5250: 87, (1987).
L. Rudin, G. Koepfler, F. Nordby, and J. M. Morel,Fast variational algorithm for clutter removal through pyramidal domain decomposition, Proceedings SPIE Conference, San Diego, CA, July, 1993.
L. Rudin, S. Osher, and E. Fatemi,Nonlinear total variation based noise removal algorithms, Phys. D, 60, (1992), 259–268.
L. Rudin, S. Osher, and C. Fu,Total variation based restoration of noisy, blurred images, SINUM, to appear.
R. Sanders,A third order accurate variation nonexpansive difference scheme for a single nonlinear conservation, Math. Comp., 51, (1988), 535–558.
J. A. Sethian,Curvature and the evolution of fronts, Comm. Math. Phys., 101, (1985), 487–499.
J. Sethian and J. Strain,Crystal growth and dendrite solidification, J. Comput. Phys., 98, (1992), 231–253.
C.-W. Shu,Numerical experiments on the accuracy of ENO and modified ENO schemes, J. Sci. Comput., 5, (1990), 127–150.
C.–W. Shu and S. Osher,Efficient implementation of essentially nonos dilatory schemes I, J. Comput. Phys., 77, (1988), 439–471.
C.-W. Shu and S. Osher,Efficient implementation of essentially nonos dilatory schemes II, J. Comput. Phys., 83, (1989), 32–78.
M. Sussman, P. Smereka, and S. Osher, A level set approach for computing solutions to incompressible two phase flow, to appear, J. Comput. Phys., (1994).
B. Van Leer,Towards the ultimate conservative difference scheme V. A second order sequel to Godunov’s method, J. Comput. Phys., 32, (1979), 101–136.
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© 1995 Birkhaäser Verlag, Basel, Switzerland
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Osher, S. (1995). Subscale Capturing in Numerical Analysis. In: Chatterji, S.D. (eds) Proceedings of the International Congress of Mathematicians. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-9078-6_141
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DOI: https://doi.org/10.1007/978-3-0348-9078-6_141
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