Model programs are used as high-level behavioral specifications typically representing abstract state machines. For modeling reactive systems, one uses input-output model programs, where the action vocabulary is divided between two conceptual players: the input player and the output player. The players share the action vocabulary and make moves that are labeled by actions according to their res...

in this paper, we introduce non-interest profit/loss sharing (pls) banks into a three-period overlapping generations model. two types, (low- and high quality) investments are assumed and capital accumulation and level of output in the steady state is considered. then, administrative rationing is introduced to the model. it is shown that the level of capital accumulation and output in equilibriu...

the graphical technique for nonlinear circuits was described that enable us to optimize circuits to obtain maximum output power, maximum efficiency or minimum intermodulation. according to this method a high power amplifier in the ka band was designed. using a nonlinear model of the transistor, optimum slope for load-line was determined so that maximum power at the output was obtainable, then ...

recently, lotfi et al. [10] established an equivalence model between the output-oriented dual ccr model and multiple objective linear programming (molp) and used an interactive method for finding target unit on efficiency frontier such that the decision maker preferences can be taken into account. however their method is not applicable for situations in which some outputs are undesirable and ne...

The present study is to indicate that the comparison between sectoral production multipliers of an input-output (I/O) model and a social accounting matrix (SAM) framework is almost impossible without taking into account accounting balances and theoretical considerations. Theoretically, the I/O model provides the Leontief’s production function, on the basis of which sectoral output multiplier ca...

The objective of this study is to design a robust direct model reference adaptive controller (DMRAC) for a nonlinear cardiovascular model over a range of plant parameters representing a variety of physical conditions. The direct adaptive controllers used in thisd study require the plant to be almost strictly positive real (ASPR) that is, for a plant to be controlled there must exist a feedback ...

while conventional data envelopment analysis models set targets separately for each decision making unit, centralized recourse allocation model is presented where there is a centralized decision maker that supervises all the operating units. optimizing of total input consumption and total output production is the main aim of this model. in this paper, firstly the centralized output production m...

in this study, a three–layer artificial neural network (ann) model was developed to predict the pressure gradient in horizontal liquid–liquid separated flow. a total of 455 data points were collected from 13 data sources to develop the ann model. superficial velocities, viscosity ratio and density ratio of oil to water, and roughness and inner diameter of pipe were used as input parameters of t...