We consider optimization problems for complex systems in which the cost function has a multivalleyed landscape. We introduce a new class of dynamical algorithms which, using a suitable annealing procedure coupled with a balanced greedy-reluctant strategy drive the systems towards the deepest minimum of the cost function. Results are presented for the Sherrington-Kirkpatrick model of spin-glasses.

Training matters not only for business growth but also talent acquisition and employee retention. Many experts researchers highlight the importance benefits of learning development (Salas et al., 2012). The ATD (Association Talent Development) 2019 State Industry Magazine’s Report indicates that billions dollars a tremendous amount time are being spent on training. companies concerned about val...

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In this paper, we present a process for bringing the organizational training department of a software development organization closer to the development projects. We envision an organizational training department that can proactively help the development projects in reducing their defect rate. To achieve this goal we take advantage of the available data at CMMI maturity level 3 organizations. W...

Abstract We present a systematic small-correlation expansion to solve the inverse Ising problem and find a set of couplings and fields corresponding to a given set of correlations and magnetizations. Couplings are calculated up to the third order in the correlations for generic magnetizations and to the seventh order in the case of zero magnetizations; in addition, we show how to sum some usefu...

In [8] the large deviations limit limN→∞(Na) −1 log EZa N for the moments of the partition function ZN in the Sherrington-Kirkpatrick model [5] was computed for all real a ≥ 0. For a ≥ 1 this result extends the classical physicist’s replica method that corresponds to integer a. We give a new proof for a ≥ 1 in the case of the pure p-spin SK model that provides a strong exponential control of th...

We investigate the large deviation behavior of the overlap probability density in the Sherrington–Kirkpatrick model using the coupled replica scheme, and compare with the results of a large scale numerical simulation. In the spin glass phase we show that generically, for any model with continuous RSB, 1/N log PN (q) ≈ −A ((|q| − qEA), and compute the first correction to the expansion of A in po...

This study examined the effectiveness of a faculty training program for problem-based learning (PBL) facilitation. A multi-level approach was used, following Kirkpatrick’s levels for assessing training effectiveness. Data were obtained from (1) tutor training workshop evaluations, (2) a survey of tutors’ attitudes and beliefs, (3) changes in tutors’ perceptions of their teaching styles through ...

Using exact diagonalization techniques, we study the dynamical response of the anisotropic disordered Heisenberg model for systems of S=1/2 spins with infinite range random exchange interactions at temperature T=0. The model can be considered as a generalization, to the quantum case, of the well-known Sherrington-Kirkpatrick classical spin glass model. We also compute and study the behavior of ...

The Random Orthogonal Model (ROM) of Marinari-Parisi-Ritort [13, 14] is a model of statistical mechanics where the couplings among the spins are defined by a matrix chosen randomly within the orthogonal ensemble. It reproduces the most relevant properties of the Parisi solution of the Sherrington-Kirkpatrick model. Here we compute the energy distribution, and work out an extimate for the two-po...