Purpose – This study is the first of a five-phase research project sponsored by the Council of Environmental Deans and Directors (CEDD), an organization of environmental program managers operating under the umbrella of the National Council for Science and the Environment. The purpose of the project is to determine if a consensus on core competencies for environmental program graduates is achiev...

In this paper we present a new algorithm for solving the second order cone programming problems which we call the Q method. This algorithm is an extension of the Q method of Alizadeh Haeberly and Overton for the semidefinite programming problem.

As the literature on trail development suggests, recreational trail projects can generate conflicts and controversies, particularly when built on abandoned rail corridors through developed areas. These conflicts are often understood as ‘‘not in my back yard” (NIMBY) reactions, suggesting a spatial proximity to conflict which increases as one draws closer to the proposed trail. This research see...

We develop the Q method for the Second Order Cone Programming problem. The algorithm is the adaptation of the Q method for semidefinite programming originally developed by Alizadeh, Haeberly and Overton, [3] and [2]. We take advantage of the special algebraic structure associated with second order cone programs to formulate the Q method. Furthermore we prove that our algorithm is globally conve...

We use several main-sequence models to derive distances (and extinctions), with statistically meaningful uncertainties for 11 star-forming-regions and young clusters. The model dependency is shown to be small, allowing us to adopt the distances derived using one model. Using these distances we have revised the age order for some of the clusters of Mayne et al. (2007). The new nominal ages are: ...

This paper addresses the problem of predicting fundamental performance of vote-based object recognition using 2-0 point features. I t presents Q method f o r predicting Q tight lower bound o n performance. Unlike previous approaches, the proposed method considers data-distortion factors, namely uncertainty, occlusion, and clutter, in addition to model similarity, simultaneously. The similarity ...