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77684 documents, page 1 of 7769

Design Integrity and Immunity Checking: A New Look at Layout Verification and Design Rule Checking

McGrath, Edward J.; Whitney, Telle (1980)
A program implementing a novel approach to layout verification is presented. The approach uses topological and device information to eliminate most false and unchecked errors. This technique, coupled with a hierarchical front end to eliminated redundant checks, is appropriate for layout verification of VLSI designs. Design rules appropriate for this technique, some usage rules in the context of structured design, and a discussion of the future of design rule checking are also presented.

Gravitational-wave research: Current status and future prospects

Thorne, Kip S. (1980)
There is a reasonably good change that in the 1980s cosmic gravitational waves will be discovered and will become a powerful tool for astronomy. This prospect has stimulated a three-pronged research effort. First, relativity theorists are developing new mathematical tools for the analysis of gravitational radiation—including (i) methods of analyzing the generation of gravity waves by sources with strong selfgravity and large internal velocities (e.g., collisions of black holes), (ii) methods ...

The absorption of fossil-fuel CO2 by the ocean

Macintyre, F (1980)
Un modèle simple, fondé sur la diffusion et la descente des eaux océaniques vers le fond, permet de démontrer que sur l'ensemble des 74 ppm (1 ppm= 1,77 E 14 moles) de CO2 ajoutés par l'activité humaine à l'atmosphère, 45 ppm se trouvent dans celle-ci et 29 ppm sont passés dans l'océan. Dans celui-ci, 3,8 ppm sont encore présents dans la couche supérieure qui est à l'équilibre avec l'atmosphère; 19,1 ppm ont diffusé dans les eaux intermédiaires (avec un coeffIcient de diffusion turbulente éga...

Strong Consistency of Least Squares Estimators in Linear Regression Models

Christopeit, N.; Helmes, K. (1980)
For the linear regression model $y = X \beta + u$ with stochastic regressor matrix, strong consistency of the least squares estimator of $\beta$ is proved in the case of martingale difference errors and predetermined regressors and for the case where errors and regressors are orthogonal up to the second order. The results obtained are applied to parameter estimation in autoregressive processes, leading to strong consistency if the errors are quasi-independent up to the fourth order.