Abstract—This paper discusses geoacoustic inversion results based on benchmark range-dependent data using SAGA, a global inversion package, and using phenomenological inversions. In phenomenological inversions, physical and signal-processing approaches are used to enhance the data to extract

parameters (wind speed and wind direction) modulating the single SAR backscatter measurements, the inversion of wind fields from SAR observations has an inherent problem of underdetermination. Moreover, this modulation is highly non-linear, further complicating the inversion. Lorenc (1986) presented a

Abstract —Transformer design optimization is determined by minimizing the transformer cost taking into consideration constraints imposed both by international specifications and customer needs. The main purpose of this work is the development and validation of an optimization technique based

Abstract — The paper introduces a novel technique for iron loss optimization of wound core shell type distribution transformers. Such a technique involves the evaluation of appropriate design variables of wound cores constructed by a combination of standard and high magnetization grade laminations

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The pattern of zero entries in the inverse covariance matrix of a multivariate normal distribution corresponds to conditional independence restrictions between variables. Covariance selection aims at estimating those structural zeros from data. We show that neighborhood selection with the Lasso

We discuss how the runtime of SVM optimization should decrease as the size of the training data increases. We present theoretical and empirical results demonstrating how a simple subgradient descent approach indeed displays such behavior, at least for linear kernels. 1.

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with before the theory can be fully applied to real-world job design problems. First, means must be developed for measuring current levels of activation of individuals in actual work settings (cf. Thayer, 1967), and for assessing the "optimal level" of activation for different individuals. Until

An inverse simulation methodology is applied for the optimization of the pirouette and the slalom maneuvers described in the ADS-33 specifications. The optimization pro-cess is performed using a genetic algorithm: defined the desired trajectory, the algorithm provides the correct pilot inputs