in this paper, the effect of financial liberalization on household’s budget liquidity constraint is analyzed with the use of an error correction model. financial liberalization will decline liquidity constraint, with expanding means of making future incomes available for present consumption. here a financial liberalization index for iran is defined using principal component analysis technique, ...

Sorghum and millets can have excellent quality for processing but to obtain that inherent quality a value added, chain securing, identity preserved grain for processing into profitable upscale urban products is necessary. Processing technology is not the major obstacle to successful production of products. Consistent supply of a modest quality grain is the major constraint. Several examples of ...

This paper intends to provide a overview of past, current and evolving standards and protocols in the area of Quality of Service over computer networks. See Also : QoS in Data Networks: Products| QoS/Policy/Constraint based routing| QoS over Data Networks (Prof. Jain's Lecture) | Quality of Service over IP: References| Books on Quality of Service over IP Other reports on recent advances in netw...

This paper intends to provide a overview of past, current and evolving standards and protocols in the area of Quality of Service over computer networks. See Also : QoS in Data Networks: Products| QoS/Policy/Constraint based routing| QoS over Data Networks (Prof. Jain's Lecture) | Quality of Service over IP: References| Books on Quality of Service over IP Other reports on recent advances in netw...

Modern softwares are not only required to perform some specific functions but also have to satisfy all the quality constraints described by the initial requirements. In this paper, we focus on some useful social patterns that will facilitate the developers’ task when dealing with quality constraint in multi-agent systems. These patterns define some agents and their interactions that help to mon...

In (NAR 08/18 and 08/21, Oxford University Computing Laboratory, 2008) we introduced a second-derivative SQP method (S2QP) for solving nonlinear nonconvex optimization problems. We proved that the method is globally convergent and locally superlinearly convergent under standard assumptions. A critical component of the algorithm is the so-called predictor step, which is computed from a strictly ...

The semiconductor industry has grown rapidly, and subsequently production planning problems have raised many important research issues. The reentrant flow-shop (RFS) scheduling problem with time windows constraint for harddisk devices (HDD) manufacturing is one such problem of the expanded semiconductor industry. The RFS scheduling problem with the objective of minimizing the makespan of jobs i...

Quality management is becoming a more and more important part of the software development process. As software testing is currently understood as the core function of the quality managment, developers start using software testing tools to facilitate their work. However most existing tools just manage given sets of test cases and check them against pre-defined testing criteria. The necessary tes...

the objective of this study is to examine the effect of mispricing on firm’s investment behavior and capital structure. it also tests the role of the level of financial constraints in the relationship between mispricing , investment and capital structure. using data of 110 firms of tehran stock exchang from 1384-1389, results indicated that mispricing has negative impact to firms investment. ho...

The field of Distributed Constraint Optimization has gained momentum in recent years, thanks to its ability to address various applications related to multi-agent cooperation. Nevertheless, solving Distributed Constraint Optimization Problems (DCOPs) optimally is NP-hard. Therefore, in large-scale, complex applications, incomplete DCOP algorithms are necessary. Current incomplete DCOP algorithm...