University of North Carolina at Charlotte

About: University of North Carolina at Charlotte is a education organization based out in Charlotte, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 8772 authors who have published 22239 publications receiving 562529 citations. The organization is also known as: UNC Charlotte & UNCC.

The pseudospectral Legendre method for discretizing optimal control problems

Abstract: This paper presents a computational technique for optimal control problems including state and control inequality constraints. The technique is based on spectral collocation methods used in the solution of differential equations. The system dynamics are collocated at Legendre-Gauss-Lobatto points. The derivative x/spl dot/(t) of the state x(t) is approximated by the analytic derivative of the corresponding interpolating polynomial. State and control inequality constraints are collocated at Legendre-Gauss-Lobatto nodes. The integral involved in the definition of the performance index is discretized based on the Gauss-Lobatto quadrature rule. The optimal control problem is thereby converted into a mathematical programming program. Thus existing, well-developed optimization algorithms may be used to solve the transformed problem. The method is easy to implement, capable of handling various types of constraints, and yields very accurate results. Illustrative examples are included to demonstrate the capability of the proposed method, and a comparison is made with existing methods in the literature. >

Parallel programming: techniques and applications using networked workstations and parallel computers

Abstract: I. BASIC TECHNIQUES. 1. Parallel Computers. 2. Message-Passing Computing. 3. Embarrassingly Parallel Computations. 4. Partitioning and Divide-and-Conquer Strategies. 5. Pipelined Computations. 6. Synchronous Computations. 7. Load Balancing and Termination Detection. 8. Programming with Shared Memory. 9. Distributed Shared Memory Systems and Programming. II. ALGORITHMS AND APPLICATIONS. 10. Sorting Algorithms. 11. Numerical Algorithms. 12. Image Processing. 13. Searching and Optimization. Appendix A: Basic MPI Routines. Appendix B: Basic Pthread Routines. Appendix C: OpenMP Directives, Library Functions, and Environment Variables Index.

A correlational test of the relationship between posttraumatic growth, religion, and cognitive processing.

Abstract: The present study examined the degree to which event related rumination, a quest orientation to religion, and religious involvement is related to posttraumatic growth. Fifty-four young adults, selected based on prescreening for experience of a traumatic event, completed a measure of event related ruminations, the Quest Scale, an index of religious participation, and the Posttraumatic Growth Inventory. The three subscales of the Quest Scale, the two groups of rumination items (soon after event/within past two weeks), and the index of religious participation were entered in a standard multiple regression with the total score of the Posttraumatic Growth Inventory as the dependent variable. The degree of rumination soon after the event and the degree of openness to religious change were significantly related to Posttraumatic Growth. Congruent with theoretical predictions, more rumination soon after the event, and greater openness to religious change were related to more posttraumatic growth. Present findings offer some confirmation of theoretical predictions, and also offer clear direction for further research on the relationships of religion, rumination, and posttraumatic growth.