$ 4.63

by Anindita Ganguly, Saumya Deep Chatterjee, Anirban Mukhopadhyay

ISBN Number : 978 – 93 -88672 – 41 – 2

SKU: SBP-2020-04-03-05 Category:


Anindita Ganguly

Anindita Ganguly is a recipient of several prestigious awards: National
Merit Scholarship (twice), Senior Research Fellowship of Defence
Research Development Organisation, Senior Research Fellowship of
Council of Scientic Industrial Research, National Doctoral Fellowship
from All India Council of Technical Education, D. S. Kothari Post
doctoral Fellowship from University Grants Commission , Teachers
Associateship for Research Excellence from Science and Enginnering
Research Board, Dorabji TATA Trust Fellowship (twice). She has been
the ex-HOD, Department of Electrical Engineering in St. Thomas
College of Engineering and Technology, Kolkata and is presently researching with computational

Saumya Deep Chatterjee

Saumya Deep Chatterjee has graduated in Electrical Engineering from
St. Thomas College of Engineering & Technology, Kolkata, West
Bengal. He has worked in Infosys Limited and IIHT in the elds of
Microsoft .NET track, Apache Hadoop and Machine Learning. He has
been certied in Big Data Development and works as a freelancer in
Microsoft track and Apache domain. He is an independent researcher
with keen interests in Control Theory, Control Systems, Programming,
Computations, Big Data and Machine Learning.

Anirban Mukhopadhyay

Anirban Mukhopadhyay is currently pursuing his PhD in Electrical
Engineering from IIT Madras. He has obtained his B.Tech degree in
Electrical Engineering from St. Thomas College of Engineering and
Technology under Maulana Abdul Kalam Azad University of
Technology, West Bengal. He has obtained his M.Tech degree in Sensor
Technology from Defence Institute of Advanced Technology, Pune. His
research interest includes spin systems, magnonics, quantum physics.

Written below are some breakthrough topics covered in our
book that surely calls it better and useful, in several ways, over
the existing one.
The Existing book authors have discussed pretty much everything about
orthogonal Hybrid Function (HF) in their book. Hybrid function is a recent
development in mathematics and control sciences that allows complicated
problems to be solved as mere matrix arithmetic methods. The numerical
examples presented in other books do not clearly bring out the theory of HF.
Contemporary to just theoretical computation of numerical examples we have
shown graphical illustrations and CRO or DSO graphs, which are results
obtained after- carrying out the solution of the problem in MATLAB and showing
the realization of the problem using real-life microcontrollers. This will not just
help to gure out error margins between practical and theoretical computations
but will also manifest the theory of HF in a much more visible and obvious to the
mind way. Unlike the existing books apart from just the aforementioned basic
topics of orthogonal Hybrid function we have covered most of the applications of
HF to real-life problems and theories to make their solution much simpler than
solved using analytic techniques. The real-life theories include Integral equations
of Volterra and Fred Holm kind, Linear and Non-linear fractional order
differential equations, solution of problems related to unidentied input observer
systems and many others. Never published ever before is a new benevolent twodimensional
theory of Hybrid function which succours to solve two-dimensional
integral equations. Owing to the vast applications of orthogonal Hybrid function
covered by us in our book makes our book, titled- Orthogonal Hybrid Function
and its applications to Science and Engineering, much more useful and surely
helps it stand out from the crowd.
The title of our book -Orthogonal Hybrid Function and its applications to Science
and Engineering, clearly suggests that it is an ideal book meant for technologists,
engineers and scientists who look after simpler and convenient methods of
perceiving a theory or to solve complicated problems in a much simpler way. Our
book presents a large number of application of orthogonal hybrid functions to
deal with real-life theoretical as well as practical oriented problems and promises
to be an affectionate for engineers, scientists, technologists and people from the
eld of applied mathematics.