This paper offers and tests an approach to conceptualizing the global competency of engineers. It begins by showing that the often-stated goal of working effectively with different cultures is fundamentally about learning to work effectively with people who define problems differently. The paper offers a minimum learning criterion for global competency and three learning outcomes whose achievem...

The ultimate goal of optimization is to find the minimizer of a target function. However, typical criteria for active optimization often ignore the uncertainty about the minimizer. We propose a novel criterion for global optimization and an associated sequential active learning strategy using Gaussian processes. Our criterion is the reduction of uncertainty in the posterior distribution of the ...

In this paper we propose a global optimality criterion for globally minimizing a quadratic form over the standard simplex which in addition provides a sharp lower bound for the optimal value The approach is based on the solution of a semide nite program SDP and a convex quadratic program QP Since there exist fast polynomial time algorithms for solving SDP s and QP s the computational time for c...

We show that some widely accepted criteria for cryptographic functions, including the strict avalanche criterion (SAC) and the propagation criterion, have various limitations in capturing properties of vital importance to cryptographic algorithms, and propose a new criterion called GAC to measure the global avalanche characteristics of cryptographic functions. We also introduce two indicators r...