Accessing Realistic Mixed Complementarity Problems within MATLAB

This paper describes a suite of programs that allow realistic complementarity problems to be accessed from within the MATLAB programming environment. The suite of programs uses data generated from the GAMS/MCP library and makes function and Jacobian evaluations available directly to the MATLAB user. All the required data is stored in a binary encoding of the problem, completely independent of GAMS. Use of the programs is described here, along with a list of all the problems that are currently available in binary form. Details on how the binary files are generated from GAMS are also given

What do clinicians want? Interest in integrative health services at a North Carolina academic medical center

BACKGROUND: Use of complementary medicine is common, consumer driven and usually outpatient focused. We wished to determine interest among the medical staff at a North Carolina academic medical center in integrating diverse therapies and services into comprehensive care. METHODS: We conducted a cross sectional on-line survey of physicians, nurse practitioners and physician assistants at a tertiary care medical center in 2006. The survey contained questions on referrals and recommendations in the past year and interest in therapies or services if they were to be provided at the medical center in the future. RESULTS: Responses were received from 173 clinicians in 26 different departments, programs and centers. There was strong interest in offering several specific therapies: therapeutic exercise (77%), expert consultation about herbs and dietary supplements (69%), and massage (66%); there was even stronger interest in offering comprehensive treatment programs such as multidisciplinary pain management (84%), comprehensive nutritional assessment and advice (84%), obesity/healthy lifestyle promotion (80%), fit for life (exercise and lifestyle program, 76%), diabetes healthy lifestyle promotion (73%); and comprehensive psychological services for stress management, including hypnosis and biofeedback (73%). CONCLUSION: There is strong interest among medical staff at an academic health center in comprehensive, integrated services for pain, obesity, and diabetes and in specific services in fitness, nutrition and stress management. Future studies will need to assess the cost-effectiveness of such services, as well as their financial sustainability and impact on patient satisfaction, health and quality of life

Kieli- ja tekstitietoisuutta kouluun! Kielitietoinen koulu ja äidinkielen ja kirjallisuuden opetus

Perusopetuksen opetussuunnitelmien uudistus lisää koulun kielitietoisuutta ja muuttaa kaikkien oppiaineiden opetusta tekstitietoiseen ja tekstilajeja tunnistavan pedagogiikan suuntaan. Samalla äidinkielen ja kirjallisuuden opetuksen asema ja merkitys sekä yhteydet muihin oppiaineisiin vahvistuvat. Yhteistyö eri oppiaineiden välillä tukee monipuolisen suomen kielen ja vuorovaikutustaitojen kehittymistä.nonPeerReviewe

Evaluating the impact of average cost based contracts on the industrial sector in the European emission trading scheme

Emission trading scheme (ETS), Carbon leakage, Average cost based contracts, Complementarity conditions, Central Western European market, 46N10, 90C33, 91B76,

Preprocessing Complementarity Problems

Preprocessing techniques are extensively used by the linear and integer programming communities as a means to improve model formulation by reducing size and complexity. Adaptations and extensions of these methods for use within the complementarity framework are detailed. The preprocessor developed is comprised of two phases. The rst recasts a complementarity problem as a variational inequality over a polyhedral set and exploits the uncovered structure to x variables and remove constraints. The second discovers information about the function and utilizes complementarity theory to eliminate variables. The methodology is successfully employed to preprocess several models. Keywords: mixed complementarity, preprocessing 1. INTRODUCTION General purpose codes for solving complementarity problems have previously lacked one signicant feature: a powerful preprocessor. The benets of preprocessing have long been known to the linear [1, 2] and integer [19] programming communities, yet have no..