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Linearly constrained minimization
1985After chapter 5 it should come as no surprise that there are specific methods for linear, as opposed to non-linear, constraints. Broadly speaking these methods, which may be called projection methods, take the search vectors generated by a standard unconstrained minimization technique and project them so that they lie in the intersection of a set of ...
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Minimizing and Stationary Sequences of Convex Constrained Minimization Problems
Journal of Optimization Theory and Applications, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Minimal Norm Constrained Interpolation
1985In computational fluid dynamics and in CAD/CAM a physical boundary, usually known only discreetly (say, from a set of measurements), must often be approximated. An acceptable approximation must, of course, preserve the salient features of the data (convexity, concavity, etc.) In this dissertation we compute a smooth interpolant which is locally convex ...
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Non-linearly constrained minimization
1985There are two broad approaches to the solution of non-linearly constrained minimization problems. In the first, the objective function is modified so that it has an unconstrained minimum at the minimum of the original constrained problem, or so that this property is obtained at the limit of a sequence of modifications, each accompanied by an ...
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Constrained minimization methods
USSR Computational Mathematics and Mathematical Physics, 1966Levitin, E. S., Polyak, B. T.
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