Advanced_modelling_in_finance_using_Excel_and_VBA（pdf） The book adopts a step-by-step approach to understanding the more sophisticated aspects of Excel macros and VBA programming, showing how these programming techniques can be used to model and manipulate financial data, as applied to equities, bonds and options. The book is essential for financial practitioners who need to develop their financial modelling skill sets as there is an increase in the need to analyse and develop ever more complex what if scenarios.
Ce livre, illustré d exemples nombreux, présente les concepts de base et les fondements des méthodes de la statistique textuelle. Il combine une approche pédagogique des outils et un exposé sur l état de l art de cette discipline. La statistique textuelle se veut précisément un outil destiné à parfaire l analyse, la description, la comparaison, en un mot, le traitement des textes.
This software is developed to provide ease with controller design. For PID control, options are given
to design and analyse the compensated and uncompensated system. You are free to choice among Proportional
PI, PD and PID mode of control. Both frequency and time domain characteristics can be observed. Special
Menus are given to observe time and frequency response plots. For Statefeedback controller similar options
are given. But this is limited to second order system only.
Use
the fast Fourier transform function fft to analyse following signal. Plot the original signal, and the magnitude of its
spectrum linearly and logarithmically. Apply Hamming window to reduce the
leakage.
.
The hamming window can be coded in Matlab as
for n=1:N
hamming(n)=0.54+0.46*cos((2*n-N+1)*pi/N);
end;
where
N is the data length in the FFT.
Smart Grids provide many benefits for society. Reliability, observability across the
energy distribution system and the exchange of information between devices are just
some of the features that make Smart Grids so attractive. One of the main products of
a Smart Grid is to data. The amount of data available nowadays increases fast and carries
several kinds of information. Smart metres allow engineers to perform multiple
measurements and analyse such data. For example, information about consumption,
power quality and digital protection, among others, can be extracted. However, the main
challenge in extracting information from data arises from the data quality. In fact, many
sectors of the society can benefit from such data. Hence, this information needs to be
properly stored and readily available. In this chapter, we will address the main concepts
involving Technology Information, Data Mining, Big Data and clustering for deploying
information on Smart Grids.
Smart Grids provide many benefits for society. Reliability, observability across the
energy distribution system and the exchange of information between devices are just
some of the features that make Smart Grids so attractive. One of the main products of
a Smart Grid is to data. The amount of data available nowadays increases fast and carries
several kinds of information. Smart metres allow engineers to perform multiple
measurements and analyse such data. For example, information about consumption,
power quality and digital protection, among others, can be extracted. However, the main
challenge in extracting information from data arises from the data quality. In fact, many
sectors of the society can benefit from such data. Hence, this information needs to be
properly stored and readily available. In this chapter, we will address the main concepts
involving Technology Information, Data Mining, Big Data and clustering for deploying
information on Smart Grids.
Indian urbanization is a complex puzzle which is extremely difficult to comprehend.
Yet, as academicians, it is our responsibility to study, comprehend, analyse, assimi-
late, and express on salient happenings in our urban systems. The expressions aim
at the larger sections of the society to disseminate technical evaluation in a compre-
hensible note. This edition focuses on awaking the society on the contextual reality
of urban India and also enabling policymakers with the situational understanding of
Indian cities.
