… ℘−1(P) of a given performance (figure 24.1). It is the famous fiber problem, and we call it
inverse performance theory. It deals with the question: Given a (collection of) performance(s) P, …

… the labels of Classical Inverse Optimization and Data-Driven Inverse Optimization to … on
inverse optimization, are often used to introduce new reformulation techniques for the inverse …

… The performance of a linear depth inversion algorithm, … theory, and up to three times faster
than linear theory during storms. Estimated wave speeds were half as fast as linear theory …

… itations of inverse entailment described by Yamamoto [20]. Augmentations of inverse entailment
… However, experiments in this paper show that good performance can be achieved using …

… In this paper, we develop the IDCM performance theory to estimate the enrichment
performance of the IDCM approach given the underlying data distribution in a double binary …

… for MonteCarlo inversion in geophysics, Pure Appl. Geophys., 91, 5–13. Anderssen, RS,
and Seneta, E., 1972. A simple statistical estimation procedure for Monte-Carlo inversion in …

… for-performance relationship; that is, an inverse U-shaped relation between CEO total
compensation and firm performance. … contracting theory dominates at low level of firm performance …

… solutions to the inverse beamforming integral equation and the performance properties of the
… is derived using standard Backus-Gilbert inverse theory and this solution is identical to FIM …

… BG inversion involves the minimization of an optimality criterion … novel insights into the
performance of deconvolution filters. … More generally, we demonstrate how BG theory leads to a …

… low implementation complexity derived from an inverse Manakov problem. By reformulating
… We compared the performance of the proposed method with a linear phase equalizer that re…