Nonlinear static analysis is a validated tool for the seismic evaluation of existing and new structures, specifically reinforced concrete buildings. In order to assess performance frames designed according Venezuelan code, configurations low-, medium-, high-rise buildings are subjected 20 different load patterns considering nonlinear behavior FEMA P695. A total 140 frame models were analyzed us...

We present self-modeling regression models for flexible nonparametric modeling of multiple outcomes measured longitudinally. Based on penalized regression splines, the models borrow strength across multiple outcomes by specifying a global time profile, thereby yielding a means of dimension reduction and estimates of trend more precise than those based on univariate regressions. The proposed mod...

This research investigates the application of Bayesian Networks to predict causal relationships in a dataset that captures several demographic and academic features of a group of students from a four-year public university. This educational dataset is characterized by both quantitative and qualitative variables, some of which exhibit a strong pair-wise dependence. To identify this dependence, a...

This paper presents a hybrid meta-heuristic algorithm called multiple start guided neighbourhood search (MSGNS) algorithm for combinatorial optimisation which combines the good features of popular guided local search algorithms like simulated annealing and tabu search. It has been organized as a multiple start algorithm to maintain a good balance between intensification and diversification. The...

Most high performance general purpose processors leverage register renaming to implement optimizations such as move elimination or zero-idiom elimination. Those can be seen forms of strength reduction whereby a faster but semantically equivalent operation is substituted slower operation. In this letter, we argue that other reductions performed dynamically if input values instructions are known ...