For the algorithmic construction of optimal experimental designs, it is important to be able to evaluate small modifications of given designs in terms of the optimality criteria at a low computational cost. This can be achieved by using powerful update formulas for the optimality criteria during the design construction. The derivation of such update formulas for evaluating the impact of changes...

In this work, we develop duality of the minimum volume circumscribed ellipsoid and the maximum volume inscribed ellipsoid problems. We present a unified treatment of both problems using convex semi–infinite programming. We establish the known duality relationship between the minimum volume circumscribed ellipsoid problem and the optimal experimental design problem in statistics. The duality res...

Stochastics affects the optimal design of a network. This paper examines the single-source single-commodity stochastic network design problem. We characterize the optimal designs under demand uncertainty and compare with the deterministic counterparts to outline the basic structural differences. We do this partly as a basis for developing better algorithms than are available today, partly to si...

This paper presents a new information acquisition problem motivated by business applications where customer data has to be acquired with a specific modeling objective in mind. In the last two decades there has been substantial work in two different fields optimal experimental design and machine learning – that has addressed the issue of acquiring data in a selective manner with a specific objec...

s of the International Conference in Honor of the late Jagdish Srivastava Satellite Conference of the 58 th ISI World Statistics Congress, Dublin 2011 Vienna, Austria, September 25 th 30 th , 2011

Increases in the complexity of Coarse Grained Reconfigurable Array (CGRA) architectures have made implementation of new architectures difficult and time consuming. Due to the large number of design options available, it is difficult for designers to make optimal design decisions in the early stages of the design cycle. This paper proposes a novel functional modelling framework for CGRA architec...

Primary selection plays a fundamental role in display design. Primaries affect not only the gamut of colors the systems is able to reproduce, but also, they have an impact on the power consumption and other cost related variables. Using more than the traditional three primaries has been shown to be a versatile way of extending the color gamut, widening the angle view of LCD screens and improvin...

When the necessary conditions for a BIBD are satisfied, but no BIBD exists, there is no simple answer for the optimal design problem. This paper identifies the E-optimal information matrices for any such irregular BIBD setting when the number of treatments is no larger than 100. Aand D-optimal designs are typically not E-optimal. An E-optimal design for 15 treatments in 21 blocks of size 5 is f...

Dual-Vt technology is effective in leakage reduction and has been implemented in industry EDA tools. However, on-chip temperature is regarded as uniformly distributed over the chip, with a pre-assumed value. This assumption does not hold for designs in the deep sub-micron deomain as on-chip temperature variation becomes more and more significant. As a result, treating temperature as a constant ...

A broad range of parameter estimation problems involve the collection of an excessively large number of observations N . Typically each such observation involves excitation of the domain through injection of energy at some pre-defined sites and recording of the response of the domain at another set of locations. It has been observed that similar results can often be obtained by considering a fa...