The minimal solution is usually defined as the global one or one of them when there are multiple global minima. Finding a global minimum is nontrivial if the energy function contains many local minima. Whereas methods for local minimization are quite mature, with commercial software on the market, the study of global minimization is still young. There are no efficient algorithms that guarantee finding globally minimal solutions as there are for local minimization.
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© 2009 Springer-Verlag London
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Li, S. (2009). Minimization – Global Methods. In: Markov Random Field Modeling in Image Analysis. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84800-279-1_10
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DOI: https://doi.org/10.1007/978-1-84800-279-1_10
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