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Since its introduction in 1974 the use of the term Minimization has been broadened to include other algorithms.
A thermodynamic model based on Gibbs energy minimization has been created to provide estimated phase equilibria as a function of composition and temperature.
Chemical plant flare minimization has been practiced not only during regular operating conditions but also abnormal operations such as start-ups, shutdowns, and process upsets.
The proposed semi-discretized difference scheme underlying the modified equation analysis of second kind and the method of dispersion error minimization has been assessed in terms of the spatial modified wavenumber or the temporal angular frequency resolution.
Although recommended by many researchers, the utilization of minimization has been seldom reported in randomized trials mainly because of the controversy surrounding the validity of conventional analyses and its complexity in implementation.
To overcome this problem, a special super-element using boundary elements based on the usual finite element technique of total potential energy minimization has been developed in this paper.
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Many techniques for image restoration based on energy minimization have been presented [1 5].
Several methods, such as nuclear norm minimization, have been used to provide approximate solutions to this non-convex problem.
Partial equalization and adaptive Threshold Orthogonality Restoring (TORC) based on BER minimization have been also proposed for MC-CDMA in [11, 12].
Recently, the first combinatorial strongly polynomial algorithms for submodular function minimization have been devised independently by Iwata, Fleischer, and Fujishige and by Schrijver.
In previous works (Bhushan and Rengaswamy, 2002a,b) strategies for optimally locating sensors based on criteria of reliability maximization and cost minimization have been devised.
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