Preferences between different alternatives (products, decisions, agreements etc.) are often based on multiple criteria. Qualitative Preference Systems (QPS) is a formal framework for the representation of qualitative multi-criteria preferences in which a criterion’s preference is defined based on the values of attributes or by combining multiple subcriteria in a cardinality-based or lexicograph...

Problem-Based Learning (PBL) is a popular approach to instruction that supports students get hands-on training by solving problems. Question Pool websites (QPs) such as LeetCode, Code Chef, and Math Playground help PBL supplying authentic, diverse, contextualized questions students. Nonetheless, empirical findings suggest 40% 80% of registered in QPs drop out less than two months. This research...

We address the problem of solving mathematical programs defined over a graph where nodes represent agents and edges represent interaction among agents. We focus on the class of graph structured linear and quadratic programs (LPs/QPs) which can model important multiagent coordination frameworks such as distributed constraint optimization (DCOP). For DCOPs, our framework provides a key benefit of...

Balance is the ability to maintain equilibrium while sitting or standing. There are a number of different methods which are used to assess balance: technical methods such as sway magnetometry, ataxia meter and force platforms, and clinical methods such as the functional reach test, Berg balance test and fall risk index. The most frequently used technical method is the force platform. There are ...

When solving a quadratic program (QP), one can improve the numerical stability of any QP solver by performing proximal-point outer iterations, resulting in sequence better conditioned QPs. In this letter we present method which, for given multi-parametric (mpQP) and polyhedral set parameters, determines which sequences QPs will have to be solved when using iterations. By knowing sequence, bound...