1983
DOI: 10.1115/1.3167074
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Optimality in Parametric Systems

Abstract: The First International Conference on Finite Elements in Biomechanics was held in Tucson, Ariz. February 18-20, 1980. This conference, which was sponsored by the United States National Science Foundation and the College of Engineering of the University of Arizona, contained about 60 presentations which covered a wide variety of finite element applications in biomechanics. The conference organizers (editors of this book) invited the authors of 18 of these presentations to prepare manuscripts for publication in … Show more

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Cited by 76 publications
(63 citation statements)
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“…In this paper, we derive alternative gradient formulae using an approach first introduced by Vincent & Grantham (1981) and extended by Kaya & Noakes (2003). Our gradient computation scheme is applicable to both fixed and variable multiple characteristic time optimal control problems and relies on the continuous integration of differential equations forward in time.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we derive alternative gradient formulae using an approach first introduced by Vincent & Grantham (1981) and extended by Kaya & Noakes (2003). Our gradient computation scheme is applicable to both fixed and variable multiple characteristic time optimal control problems and relies on the continuous integration of differential equations forward in time.…”
Section: Introductionmentioning
confidence: 99%
“…Then, at the optimum solution, it is necessary that , or, equivalently, that (13) (14) (15) Equation (13) is identical to (4), showing that the Lagrange multiplier must be proportional to the vector used in the rest of the paper [the length of the Lagrange multiplier is fixed by (14)]. It is well known in optimization theory (e.g., see [17] or, in the context of applications to minimum cost optimal power flow see [14]) that the sensitivity of the cost function to the constraints is given by the corresponding Lagrange multiplier. Thus .…”
Section: B Derivation Of Sensitivity In An Optimization Contextmentioning
confidence: 99%
“…There is no easy way to introduce any scaling factor to adjust such uneven performance. Because there are more than one objective in the design of the filter bank, it is basically a multicriteria design problem [7], [8]. When different restrictions are imposed to the criteria in the design process, a solution set can be derived in which all solutions are efficient, or Pareto optimum.…”
Section: Uniform Dft Modulated Filter Bankmentioning
confidence: 99%
“…Apart from using the window method, it is also possible to use the minimax technique [9] instead of the least-squares technique to design (8). Once the cutoff frequency and the stop-band frequency is fixed, the minimax optimization problem can be solved quickly via the Remez exchange algorithm.…”
Section: Prototype Filter Designmentioning
confidence: 99%
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