Current design automation methodologies are becoming incapable of achieving design closure especially in the presence of deep submicron effects. This paper addresses the issue of design closure from a high level point of view. A new metric called delay relaxation parameter (DRP) for RTL designs is proposed. DRP essentially captures the degree of delay relaxation that the design can tolerate wit...

Visual analytics systems aim to transform data into knowledge by integrating visualization and automation. We present a classification of the elements of the parameter optimization problem from a perceptual perspective. To illustrate its utility, we apply this classification to the design of a visual analytics interface for parameter optimization of biomedical image analysis algorithms. Author

Dynamic parameter design introduced by Taguchi (1987) is one of the most important tool in quality engineering. It is also known as parameter design in signal-response systems (Miller and Wu, 1996; Wu and Hamada, 2000, chapter 11). The name suggests that the interest lies in a signal-response relationship rather than a single value of the response. Taguchi’s approach to dynamic parameter design...

In a unit-demand multi-unit multi-item auction, an auctioneer is selling a collection of different items to a set of agents each interested in buying at most unit. Each agent has a different private value for each of the items. We consider the problem of designing a truthful auction that maximizes the auctioneer’s profit in this setting. Previously, there has been progress on this problem in th...

We formulate an optimal design problem for the selection of best states to observe and optimal sampling times and locations for parameter estimation or inverse problems involving complex nonlinear nonlinear partial differential systems. An iterative algorithm for implementation of the resulting methodology is proposed.

This report is an addendum of the Engel and Huele (1996b) Technometrics paper. It contains a theorem that relates ordinary and weighted least squares estimation in the context of experimental design. It also gives some more background information of the simulation results from this Engel and Huele paper and the S-Plus code of the simulation is explained. keywords: dispersion e ect, iteratively ...

The following article presents the application of an evolutionary strategy to produce nearly optimal design matrices, containing the parameter settings to execute an experiment. The properties of such matrices significantly determine the precision of the optimization models used in Robust Parameter Design (RPD). The methodology presented allows the user to produce new experimental design matric...

In this paper a novel technique is presented to solve tolerance design problems. To achieve the desired performance tolerance the technique uses a subtle, but significant, change in the design rather than increasing component precision. This change is the addition of a tuning parameter. Statistical models are used to developed framework for the tuning parameter design method. Also developed is ...