MAGEMin, an Efficient Gibbs Energy Minimizer: Application to Igneous Systems

Gibbs States for Bundle Systems with an Application toSpatio - Temporal

An Efficient Approach to Learning Inhomogeneous Gibbs Model

Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that the applicability of IGM has been greatly restricted. In this paper, we propose an approach for fast parameter learning of IGM. In IGM learning, features are incrementally constructed to constrain the learnt distribution...

Efficient Determination of Gibbs Estimators with Submodular Energy Functions

Now the Gibbs estimators are used to solve many problems in computer vision, optimal control, Bayesian statistics etc. Their determination is equivalent to minimization of corresponding energy functions. Therefore, the real use of the estimators is restricted by opportunity to compute or evaluate satisfactory values of the energy functions. New combinatorial techniques that have been developed ...

An efficient estimator for Gibbs random fields

An efficient estimator for the expectation R f dP is constructed, where P is a Gibbs random field, and f is a local statistic, i. e. a functional depending on a finite number of coordinates. The estimator coincides with the empirical estimator under the conditions stated in Greenwood and Wefelmeyer [6], and covers the known special cases, namely the von Mises statistic for the i.i.d. underlying...

Application of Solar Thermal Collectors to Improve the Energy Performance of the Fresh Air HVAC Systems

 In the preset study, the performance of a solar assisted heating, ventilation and air conditioning (HVAC) system in an operating theater building was studied. The yearly performances of the existing HVAC system and the system with the added solar collectors were simulated in terms of energy consumption and provided air conditions using a transient system simulation software (TRNSYS). In t...