992 resultados para Multistage stochastic linear programs


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We address the performance optimization problem in a single-stationmulticlass queueing network with changeover times by means of theachievable region approach. This approach seeks to obtainperformance bounds and scheduling policies from the solution of amathematical program over a relaxation of the system's performanceregion. Relaxed formulations (including linear, convex, nonconvexand positive semidefinite constraints) of this region are developedby formulating equilibrium relations satisfied by the system, withthe help of Palm calculus. Our contributions include: (1) newconstraints formulating equilibrium relations on server dynamics;(2) a flow conservation interpretation of the constraintspreviously derived by the potential function method; (3) newpositive semidefinite constraints; (4) new work decomposition lawsfor single-station multiclass queueing networks, which yield newconvex constraints; (5) a unified buffer occupancy method ofperformance analysis obtained from the constraints; (6) heuristicscheduling policies from the solution of the relaxations.

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This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued monthly.

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The Network Revenue Management problem can be formulated as a stochastic dynamic programming problem (DP or the\optimal" solution V *) whose exact solution is computationally intractable. Consequently, a number of heuristics have been proposed in the literature, the most popular of which are the deterministic linear programming (DLP) model, and a simulation based method, the randomized linear programming (RLP) model. Both methods give upper bounds on the optimal solution value (DLP and PHLP respectively). These bounds are used to provide control values that can be used in practice to make accept/deny decisions for booking requests. Recently Adelman [1] and Topaloglu [18] have proposed alternate upper bounds, the affine relaxation (AR) bound and the Lagrangian relaxation (LR) bound respectively, and showed that their bounds are tighter than the DLP bound. Tight bounds are of great interest as it appears from empirical studies and practical experience that models that give tighter bounds also lead to better controls (better in the sense that they lead to more revenue). In this paper we give tightened versions of three bounds, calling themsAR (strong Affine Relaxation), sLR (strong Lagrangian Relaxation) and sPHLP (strong Perfect Hindsight LP), and show relations between them. Speciffically, we show that the sPHLP bound is tighter than sLR bound and sAR bound is tighter than the LR bound. The techniques for deriving the sLR and sPHLP bounds can potentially be applied to other instances of weakly-coupled dynamic programming.

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In this paper we use Malliavin calculus techniques to obtain an expression for the short-time behavior of the at-the-money implied volatility skew for a generalization of the Bates model, where the volatility does not need to be neither a difussion, nor a Markov process as the examples in section 7 show. This expression depends on the derivative of the volatility in the sense of Malliavin calculus.

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The evolution of boundedly rational rules for playing normal form games is studied within stationary environments ofstochastically changing games. Rules are viewed as algorithms prescribing strategies for the different normal formgames that arise. It is shown that many of the folk results of evolutionary game theory typically obtained witha fixed game and fixed strategies carry over to the present case. The results are also related to recent experimentson rules and games.

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This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued monthly.

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Following is the 2007 Annual Report of the Iowa Values Fund (IVF 2005) and Business Assistance Programs covering activity during Fiscal Year 2007 (FY ‘07) and cumulative for the first four years of the Iowa Values Fund Programs. The IVF (2005) is the primary funding source for a menu of financial assistance programs the Iowa Department of Economic Development (IDED) offers as incentives to Iowa companies to expand here, to recruit new companies into Iowa and assist new entrepreneurial ventures. In addition to IDED the law appropriates IVF (2005) funds for economic development activities to the Board of Regents, the Departments of Cultural Affairs and Natural Resources and to Community Colleges for certain workforce training programs. In addition to the IVF (2005), IDED allocates a portion of Community Development Block Grant and Federal Emergency Stimulus funds and several tax credit programs, all of which are included in this report.

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This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued monthly.

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Research on judgment and decision making presents a confusing picture of human abilities. For example, much research has emphasized the dysfunctional aspects of judgmental heuristics, and yet, other findings suggest that these can be highly effective. A further line of research has modeled judgment as resulting from as if linear models. This paper illuminates the distinctions in these approaches by providing a common analytical framework based on the central theoretical premise that understanding human performance requires specifying how characteristics of the decision rules people use interact with the demands of the tasks they face. Our work synthesizes the analytical tools of lens model research with novel methodology developed to specify the effectiveness of heuristics in different environments and allows direct comparisons between the different approaches. We illustrate with both theoretical analyses and simulations. We further link our results to the empirical literature by a meta-analysis of lens model studies and estimate both human andheuristic performance in the same tasks. Our results highlight the trade-off betweenlinear models and heuristics. Whereas the former are cognitively demanding, the latterare simple to use. However, they require knowledge and thus maps of when andwhich heuristic to employ.

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On April 27, 2007, Iowa Governor Chet Culver signed Senate File 485, a bill related to greenhouse gas emissions. Part of this bill created the Iowa Climate Change Advisory Council (ICCAC), which consists of 23 governor-appointed members from various stakeholder groups, and 4 nonvoting, ex officio members from the General Assembly. ICCAC’s immediate responsibilities included submitting a proposal to the Governor and General Assembly that addresses policies, cost-effective strategies, and multiple scenarios designed to reduce statewide greenhouse gas emissions. Further, a preliminary report was submitted in January 2008, with a final proposal submitted in December 2008. In the Final Report, the Council presents two scenarios designed to reduce statewide greenhouse gas emissions by 50% and 90% from a 2005 baseline by the year 2050. For the 50% reduction by 2050, the Council recommends approximately a 1% reduction by 2012 and an 11% reduction by 2020. For the 90% reduction scenario, the Council recommends a 3% reduction by 2012 and a 22% reduction 2020. These interim targets were based on a simple extrapolation assuming a linear rate of reduction between now and 2050. In providing these scenarios for your consideration, ICCAC approved 56 policy options from a large number of possibilities. There are more than enough options to reach the interim and final emission targets in both the 50% and 90% reduction scenarios. Direct costs and cost savings of these policy options were also evaluated with the help of The Center for Climate Strategies, who facilitated the process and provided technical assistance throughout the entire process, and who developed the Iowa Greenhouse Gas Emissions Inventory and Forecast in close consultation with the Iowa Department of Natural Resources (IDNR) and many Council and Sub-Committee members. About half of the policy options presented in this report will not only reduce GHG emissions but are highly cost-effective and will save Iowans money. Still other options may require significant investment but will create jobs, stimulate energy independence, and advance future regional or federal GHG programs.

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In cost-effectiveness analysis (CEA) it is usually assumed that a QALY is of equal value to everybody, irrespective of the patient's age. However, it is possible that society assigns different social values to a QALY according to who gets it. In this paper we discuss the possibility of weighting health benefits for age in CEA. We also examinethe possibility that age-related preferences depend on the size of the health gain. An experiment was performedto test these hypotheses. The results assessing suggest that the patient's age is a relevant factor when assessing health gains.

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This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued monthly.

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O tema da Programação Linear, com as suas particularizações do Problema dos Transportes e do Problema da Afectação de Recursos, é hoje estudado em cursos diversos onde uma disciplina de Investigação Operacional esteja presente. Trata-se, em última análise, de um problema de cálculo de extremos condicionados, seja de máximo ou de mínimo, que apresenta características muito particulares e de grande elegância simbólica. Também os Problemas dos Transportes e da Afectação de Recursos se podem resolver como problemas de Programação Linear, através do Algoritmo Simplex, embora seja preferível o recurso a algoritmos próprios, de muitíssimo maior simplicidade: o Algoritmo dos Transportes e o Algoritmo Húngaro, respectivamente. De molde a facilitar a compreensão do que realmente está em jogo, consideram-se aqui dois casos de determinação de extremos e de extremos condicionados, mas ao nível do final do ensino secundário.

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This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued monthly.

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This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued monthly.