Abstract
Optimization deals with the determination of the extremum or the extrema of a given function over the space where the function is defined or over a subset of it. Several optimization problems arise in nature and they are known, mainly for historical reasons, as principles. The principles of minimum potential energy in statics, the maximum dissipation principle in dissipative media and the least action principle in dynamics are some examples (see, among others, [Hamel, 1949], [Lippmann, 1972], [Cohn and Maier, 1979], [de Freitas, 1984], [de Freitas and Smith, 1985], [Panagiotopoulos, 1985], [Hartmann, 1985], [Sewell, 1987], [Bazant and Cedolin, 1991]). Furthermore, mathematical optimization is tightly connected with optimal structural design, control and identification. Applications include contemporary questions in biomechanics, like the understanding of the inner structure in bones [Wainwright and et.al., 1982] or of the shape in trees [Mattheck, 1997].
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Stavroulakis, G.E. (2001). Computational and Structural Optimization. In: Inverse and Crack Identification Problems in Engineering Mechanics. Applied Optimization, vol 46. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0019-3_3
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DOI: https://doi.org/10.1007/978-1-4615-0019-3_3
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