Binary decision theory has been applied to the general interferometric problem. Optimal detection scheme|according to the Neyman-Pearson criterion|has been considered for di erent phase-enhanced states of radiation eld, and the corresponding bounds on minimum detectable phase shift has been evaluated. A general bound on interferometric precision has been also obtained in terms of photon number ...

aim and back ground: impulsivity and risky decision making is a core element of plenty of individual and social deficits. on the other hand, history of attention deficit disorder and hyperactivity has been reported in many people with these problem particularly addiction. decision making requires basic cognition function such as inhibition, working memory and attention. the aim of the current s...

environmental factors are one of the most sensitive issues that should be considered in many decisions. site selection is one of the most widely used spatial decision making problems and is influenced by many environmental factors. the purpose of site selection is to find a set of appropriate spatial alternatives for a particular application. site selection is a multi-criteria decision making p...

decision trees as one of the data mining techniques, is used in credit scoring of bank customers. the main problem is the construction of decision trees in that they can classify customers optimally. this paper proposes an appropriate model based on genetic algorithm for credit scoring of banks customers in order to offer credit facilities to each class. genetic algorithm can help in credit sco...

A resource investment problem is a project-scheduling problem in which the availability levels of the resources are considered decision variables and the goal is to find a schedule and resource requirement levels such that some objective function optimizes. In this paper, we consider a resource investment problem in which the goal is to maximize the net present value of the project cash flows. ...

We give here a comparison of the expected outcome theory, the expected utility theory, and the Bayesian decision theory, by way of a simple numerical toy problem in which we look at the investment willingness to avert a high impact low probability event. It will be found that for this toy problem the modeled investment willingness under the Bayesian decision theory is minimally three times high...

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The Diffie-Hellman key agreement protocol, is a procedure that allows establishing a shared secret over an insecure connection and was developed by Whitfield Diffie and Martin Hellman in 1976, . This procedure is, often slightly modified, still used today by several applications. Before going into more detail on these applications, let’s have a look at the basic key-exchange method between two ...

The separation problem is central to mathematical programming. It asks how a continuous relaxation of an optimization problem can be strengthened by adding constraints that separate or cut off an infeasible solution. We study an analogous separation problem for a discrete relaxation based on binary decision diagrams (BDDs), which have recently proved useful in optimization and constraint progra...