Set theoretic estimation by random search

Set theoretic estimation by random search

Set theoretic estimation in color scanner characterization

A set theoretic approach for the spectral characterization of a color scanner is described. These devices usually employ three channels to obtain a device dependent RGB (red, green, blue) image. To display/print an image, the device dependent RGB values must be correctly transformed to the color space of the target device. To determine accurate and efficient transformations for a number of devi...

OPTIMAL DESIGN OF DIAGRID MODULES BY PSEUDO RANDOM DIRECTIONAL SEARCH

The present work reveals a problem formulation to minimize material consumption and improve efficiency of diagrids to resist equivalent wind loading. The integrated formulation includes not only sizing of structural members but also variation in geometry and topology of such a system. Particular encoding technique is offered to handle practical variation of diagrid modules. A variant of Pseudo-...

Simple set cardinality estimation through random sampling

We present a simple algorithm for estimating the cardinality of a set I, based on a RandomSample(I) primitive that returns an element of I uniformly at random. Our algorithm with probability (1−perr) returns an estimate of |I| accurate within a factor (1 ± δerr) invoking RandomSample(I) at most O (

Recursive Nonlinear Set–Theoretic Estimation Based on Pseudo Ellipsoids

In this paper, the problem of estimating a vector x of unknown quantities based on a set of measurements depending nonlinearly on x is considered. The measurements are assumed to be taken sequentially and are corrupted by unknown but bounded uncertainties. For this uncertainty model, a systematic design approach is introduced, which yields closed–form expressions for the desired nonlinear estim...