The estimation of parameters from data is a common problem in many areas the physical sciences, and frequently used algorithms rely on sets simulated which are fit to data. In this article, an analytic solution for simulation-based parameter problems presented. matrix formalism, termed Linear Template Fit, calculates best estimators interest. It combines linear regression with method least squa...

The study reports some preliminary investigations on the template free synthesis of a scantly investigated polyaniline (PANI) derivative-Phenylenediamine (PDA) by template free method in the presence of Oxalic acid (OA) (dopant), using Ammonium Persulfate as oxidant. Polymerization of Phenylenediamine (PDA) was confirmed by the FT-IR as well as UV–visible studies. The morphology of Phenylenedia...

Pankaj Sharma, Laurent Syavoch Bernard, Antonios Bazigos, Arnaud Magrez and Adrian M. Ionescu École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland [email protected] Abstract Negative differential resistance (NDR) is a phenomenon in which an increase in voltage across the device's terminals results in a decrease in electric current through it. This is in contrast to a resist...

A simulation study is designed to explore accuracy and precision of parameter estimation of cognitive attributes using the crossed random effects linear logistic test model (CRELLTM) with PROC GLIMMIX. The CRELLTM characterizes the weight of the cognitive attributes for item difficulties as random coefficients. The SAS® GLIMMIX package is applied to obtain parameter estimates. A series of simul...

Terahertz (THz) conductivity of single walled carbon nanotube (SWNT)/poly-vinyl alcohol (PVA) composites has been studied in the frequency window of 0.3-2.0 THz. It is found that conductivity of these samples can be efficiently tuned by changing the length of the SWNTs and also the SWNT weight fraction. For the highest weight fraction at a frequency of 1 THz, longer SWNT sample (average length ...

s 2008 "Population
Based
Incremental
Schema
Learning" Matt
Dominski
(Computer
Science) Advised
by
Dale
Brown
(CS)
 Abstract Evolutionary
algorithms
are
used
a
lot
to
solve
non‐polynomial
problems.
This
works
especially
well
 since
it
has
already
been
shown
that
they
are
able
to
Gind
near‐optimal
solutions.
This
project
will
focus
 on
the
genetic
algorithm
(GA)
and
the
population
based
increment...