Sion Problem Research Articles

Complete study of a Coopetitive R&D Alliance

The paper proposes a mathematical model of coopetitive game that ana- lyzes general asymmetric R&D alliances. The coopetitive point of view, which con- siders both collaboration and competition together, allows to analyze the functioning of alliances that arise between small and large firms. Starting from the economic models developed in managerial doctrine and from the model of coopetitive game in- troduced by David Carf`ı, we adopt a mathematical analysis, paying attention to some of the most debated quantitative questions and some analytical topics scarcely covered in the literature: a mathematical model of coopetitive game, particularly suitable for exploring a complex type of asymmetric R&D alliances. We propose a formal coopet- itive approach, with corresponding numerical example, where the coopetitive variable of the model is a real variable. A cooperative effort is suggested even if partners are potentially competitors in the marketplace and they could shape the payoff space by the coopetitive approach. To maximize profits, we suggested: first of all, a complete Pareto analysis (introduced by David Carf`ı), secondly - to share conveniently and fairly the utilities - we propose a Kalai-Smorodinsky solution of the bargaining deci- sion problem, in which the decisional constraint is the Pareto boundary of maximum collective utility.

Kernel based simple regularized multiple criteria linear program for binary classification and regression

Handling data classification and regression problems through linear hyperplane is a naive and simple idea. In this paper, inspired by the idea of multiple criteria linear programs (MCLP) and multiple criteria quadratic programs (MCQP), we proposed a novel method for binary classification and regres sion problem. There are two main advantages for the proposed approach. One is that both of these two models guarantee the existence of feasible solutions when the model parameters were chosen properly. The other is that nonlinear patterns could be handled and captured by introducing kernel function into MCLP framework with a more natural way than previous work. Various classical approaches and datasets were evaluated in our experiments, and the result on both toy and real world data demonstrate the correctness and effectiveness of our proposed methods.

Problemas de Conducta y Depresión entre Refugiados no Acom-pañados: La asociación entre el impacto del trauma pre-migratorio y la aculturación

There is scarce knowledge about the long term adaptation of children who migrate without the company of their legal guardians to apply for asylum in a foreign country. The present study investigated the com- bined effects of impact of premigratory war-related trauma, and indices of current acculturation (culture competence and ingroup / outgroup hassles) on conduct and depression problems. Participants were 566 refugees who had arrived in Norway as unaccompa- nied minor asylumseekers, were granted residence and resettled all over the country. They had a mean length of stay in Norway of 3.7 years and a mean age of 18.9 years. They gathered in groups in their home towns, and filled in questionnaires with information about pre- and post-migration ex- periences and mental health. The findings imply that while this group of young refugees reports few conduct problems, the level of depression is high. At the same time, their acculturation process is progressing, as they are achieving necessary culture competence to integrate into majority society and maintain contact with their culture of origin. A model assessing effects of culture competence and ingroup/outgroup hassles in combination with impact of war-related trau- matic events, did not account for much of the individual differences in conduct problems. In contrast, when depressive problems were concerned, the included acculturation indices explained substantial variation in depres- sion problems, over and above effects of impact of war-related traumatic events. It is concluded that ethnic and host culture competence should be the focus of interventions to promote socio-cultural integration and mental

Adaptivity and variational stabilization for convection-diffusion equations

In this paper we propose and analyze stable variational formulations for convection diffu- sion problems starting from concepts introduced by Sangalli. We derive efficient and reliable ap osteri- ori error estimators that are based on these formulations. The analysis of resulting adaptive solution concepts, when specialized to the setting suggested by Sangalli's work, reveals partly unexpected phe- nomena related to the specific nature of the norms induced by the variational formulation. Several remedies, based on other specifications, are explored and illustrated by numerical experiments.

Control óptimo determinista aplicado al problema económico de crecimiento endógeno

The aim of this pa per is to de velop, in a de ter min is tic frame work, a model of eco nomic growth that ex plains its de ter mi nants en dog e nously. The pro posed model also de scribes the be hav ior of the dy nam ics of the agent’s con sump tion and cap i tal paths. It is sup posed that the econ omy is pop u lated by iden ti cal and in fi nitely lived in di vid u als that wish to max i mize their util ity for the con sump tion of a sin gle per ish able good. Sev eral sat is fac tion in dexes are re vised. Firms share the same tech nol ogy. In such a tech nol ogy it is as sumed that the mar ginal prod uct of cap i tal re mains con stant through time. In this con text, the con sumer’s de ci sion prob lem is stated as a de ter min is tic op ti mal con trol prob lem in con tin u ous time. Con sumer’s op ti mal de ci sions are ex am ined by us ing MATLAB © subroutines.

Leibniz on Estimating the Uncertain

Leibniz's De incerti aestimatione, which contains his solution to the divi­ sion problem, has not received much attention, let alone much appreciation. This is surprising because it is in this work that the definition of probability in terms of equally possible cases appears for the first time. The division prob­ lem is used to establish and test probability theory; it can be stated as follows: if two players agree to playa game in which one has to win a certain number of rounds in order to win the pool, but if they break the game off before ei­ ther of them has won the required number of rounds, how should the pool be distributed? Our article has two aims: it provides the readers with the first published English translation of De incerti aestimatione, and it also gives them a brief commentary that explains Leibniz's philosophical and mathematical concepts necessary in order to understand this work. The translation is as literal as possible throughout; it shows how Leibniz struggled at times to find a solu­ tion to the division problem and how he approached it from different angles. The commentary discusses Leibniz's views on four key concepts: fairness, hope, authority and possibility. The commentary then outlines how Leibniz attempted to solve the problem of division.

Bottleneck Capacity Expansion Problems with General Budget Constraints

This paper presents a unied approach for bottleneck capacity expansion problems. In the bottleneck capacity expansion problem, BCEP, we are given a nite ground set E, a familyF of fea- sible subsets of E and a nonnegative real capacity ce for all e 2 E. Moreover, we are given monotone increasing cost functions fe for in- creasing the capacity of the elements e2 E as well as a budget B.T he task is to determine new capacities ce ce such that the objective func- tion given by maxF2F mine2F ce is maximized under the side constraint that the overall expansion cost does not exceed the budget B.W e in- troduce an algebraic model for dening the overall expansion cost and for formulating the budget constraint. This models allows to capture various types of budget constraints in one general model. Moreover, we discuss solution approaches for the general bottleneck capacity expan- sion problem. For an important subclass of bottleneck capacity expan- sion problems we propose algorithms which perform a strongly poly- nomial number of steps. In this manner we generalize and improve a recent result of Zhang et al. (15).

Institutions and Externalities in the Inland Fisheries of Bangladesh

Establishment of property rights over inland fisheries of Bangladesh has been able to internalize appropriation externalities. How- ever, the agents have failed to internalize provi- sion problems due to the physical characteristics of the resource systems. We have observed that the rules traditionally followed by the fishers are maintained and preserved by agents having ex- clusive property rights over the resource systems. The relationship between the agents and the fish- ers is not anonymous but of a patron-client type. Such outcome does not follow from the analysis of those who think that private property rights are the only solution to common-pool problems. (JEL Q22)

Simulation of medical decisions: Applications of SLN

Simulation has been applied to several important medical deci sion problems using the SLN language. The applications to end- stage renal disease, chronic stable angina, renal artery stenosis, and treatment of hypertension and hypercholesterolemia are reviewed emphasizing the modeling considerations and results. These investigations support the utility of simulation in medical decisions and the applicability of SLN to these problems. The general applicability of simulation to medical decision problems must be evaluated in the context of available knowledge and data. The simulation of medical decisions does not produce dependence among observations so prevalent in discrete-event simulations, but to the extent that arbitrary criteria such as cost- effectiveness are estimated, statistical concerns remain. Simula tion, particularly with SLN, can play an important role in medical protocol design.