Optimal recursive decomposition (or DR-planning) is crucial for analyzing, designing, solving or finding realizations of geometric constraint sytems. While the optimal DR-planning problem is NP-hard even for general 2D bar-joint constraint systems, we describe an O(n) algorithm for a broad class of constraint systems that are isostatic or underconstrained. The algorithm achieves optimality by u...

the present research aims to study the effects of syllabic structure in standard tajiki persian on the pronunciation of standard iranian persian words and the joint loanwords in these languages. this descriptive study used optimality theory, as a recent branch of generative grammar, to analyse the errors. to that end, ten tajiki-speaking persian learners, studying at imam khomeini international...

This paper extends an existing cooperative multi-objective interaction programming problem with interaction constraint for two players or two agents . First, we define an s-optimal joint solution with weight vector to multi-objective interaction programming problem with interaction constraint for two players and get some properties of it. It is proved that the s-optimal joint solution with weig...

Behavioral ecology (Krebs 1987) has a rich tradition of calling tradeoffs a cost-benefit. We can synonymize cost-benefit analysis with the notion of a life history trade-off introduced in chapter 3, because in some cases even social system trade-offs have been linked to the pleiotropic effects of one gene on two or more traits. As we will see below, in greenbeard dynamics, which arise from thre...

The visual system transforms complex inputs into robust and parsimonious neural codes that efficiently guide behavior. Because neural communication is stochastic, the amount of encoded visual information necessarily decreases with each synapse. This constraint requires that sensory signals are processed in a manner that protects information about relevant stimuli from degradation. Such selectiv...