Paper
1 May 1994 Numerical approximation of non-convex variational problems
Noel J. Walkington
Author Affiliations +
Abstract
We present some numerical results for the solution of non-convex variational problems. In general, the problems of interest do not attain a minimum energy. Functions that generate a minimizing sequence of energies develop infinitely fine oscillations, and it is believed that these oscillations model the fine scale structures that are ubiquitously observed in metallurgy, ferromagnetism, etc. Direct simulation of these variational problems on discrete meshes is plagued with practical problems. We present a simple 1-D example that exhibits problems typical of those encountered with such an approach. Many of these problems can be traced to the fundamental problem that the variational problem doesn't have a solution. An alternative is to consider the generalized solutions of L. C. Young. We present some numerical experiments using this algorithm for variational problems that involve vector valued functions.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Noel J. Walkington "Numerical approximation of non-convex variational problems", Proc. SPIE 2192, Smart Structures and Materials 1994: Mathematics and Control in Smart Structures, (1 May 1994); https://doi.org/10.1117/12.174226
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Cited by 1 scholarly publication.
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KEYWORDS
Chemical elements

Information operations

Analytical research

Fourier transforms

Improvised explosive devices

Lawrencium

Mathematics

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