1 SUMMARY. In many biomedical applications, one can assume that the mean of an outcome variable increases monotonically with increases in a predictor to an unknown peak and decreases thereafter. To account for dependency in outcome measurements, one can apply a hierarchical model with random effects and autocorrelated errors. In the absence of shape constraints, Bayesian computation can proceed...

In the real situations, decision makers are often faced to a plurality of objectives and constraints in a world of imprecise data about the preferences of agents, the local constraints and the global environment. In a fuzzy environment, fuzzy linear programming (FLP) and fuzzy goal programming (FGP) problems incorporate fuzzy objective functions and constraints, fuzzy parameters and variable se...

— Various model parameter calculation equations of RF CMOS inductors are compared. The calculation equations are using as variables either Y, Z-parameters or S-parameters. Results are based on on-wafer RF S-parameter measurements of a 3.75 turn spiral inductor fabricated in AMIS 0.7 μm CMOS DM1P n-well technology. Results obtained with calculation equations for a differentially driven inductor ...

We report the first direct experimental characterization of continuous variable quantum Stokes parameters. We generate a continuous wave light beam with more than 3 dB of simultaneous squeezing in three of the four Stokes parameters. The polarization squeezed beam is produced by mixing two quadrature squeezed beams on a polarizing beam splitter. Depending on the squeezed quadrature of these two...

  We consider the maximal covering location-allocation problem with multiple servers. The objective is to maximize the population covered, subject to constraints on the number of service centers, total number of servers in all centers, and the average waiting time at each center. Each center operates as an M/M/k queuing system with variable number of servers. The total costs of establishing cen...

We introduce a model of register automata over infinite trees with extrema constraints. Such an automaton can store elements linearly ordered domain in its registers, and compare those values to the suprema infima subtrees. show that emptiness problem for these is decidable. As application, we prove decidability countable satisfiability two-variable logic presence tree order, linear arbitrary a...

Monotonicity analysis, developed by [Wilde 78] and [Papalambros 79], is an approach to simplifying and solving some nonlinear, constrained global optimization problems without iterative numerical calculations. Unfortunately, monotonicity analysis is limited to problems in which the objective function and constraints vary roonotonically with the design variables. To alleviate this limitation it ...