Society, Ecology, and Nonlinear Dynamics
Offers an interdisciplinary approach, aimed at connecting the dots between
the underlying physics/mathematics and macroscopic world-scale phenomena
Focuses on complex systems, with chapters dedicated to interacting, large
scale, nonlinear and non-Gaussian systems
Provides ecologically and socially motivated case studies to offer substantial
real-world context and motivation to the technical contents
Enriched with dozens of examples, boxed inserts and formulas, as well as over
300 illustrations
Over 100 end-of-chapter problems, most with solutions, spanning the full
range of conceptual, analytical, computational, reading/essay and policyrelated questions
Complex Systems lie at the heart of a variety of large-scale phenomena of great significance -
global warming, ice ages, water, poverty, pandemics - and this text uses these case studies as
motivations and contexts to explore complex systems and related topics of nonlinear dynamics
and power-law statistics. Although detailed mathematical descriptions of these topics can be
challenging, the consequences of a system being nonlinear, power-law, or complex are in fact
quite accessible. This book blends a tutorial approach to the mathematical aspects of complex
systems together with a complementary narrative on the global/ecological/societal implications
of such systems. Nearly all engineering undergraduate courses focus on mathematics and
systems which are small scale, linear, and Gaussian. Unfortunately there is not a single largescale
ecological or social phenomenon that is scalar, linear, and Gaussian. This book offers
insights to better understand the large-scale problems facing the world and to realize that
these cannot be solved by a single, narrow academic field or perspective. Instead, the book
seeks to emphasize understanding, concepts, and ideas, in a way that is mathematically
rigorous, so that the concepts do not feel vague, but not so technical that the mathematics get
in the way.
2nd ed. 2021, XIV, 434 p. 208 illus., 199 illus. in color.
Hardcover
Presents the first didactical introduction to the recently developed quantum
conference key agreement
Explains state-of-the-art quantum key distribution and conference key
agreement in detail
Provides a global overview of the field targeted to nonexperts
Rising concerns about the security of our data have made quantum cryptography a very active
research field in recent years. Quantum cryptographic protocols promise everlasting security by
exploiting distinctive quantum properties of nature. The most extensively implemented protocol
is quantum key distribution (QKD), which enables secure communication between two users.
The aim of this book is to introduce the reader to state-of-the-art QKD and illustrate its recent
multi-user generalization: quantum conference key agreement. With its pedagogical approach
that doesnft disdain going into details, the book enables the reader to join in cutting-edge
research on quantum cryptography
Due 2021-03-03
1st ed. 2021, XIII, 148 p.
14 illus. in color.
Hardcover
ISBN 978-3-030-64359-1
Product category : Monograph
Series : Quantum Science and Technology
Physics : Quantum Physics
Offers an essential introduction to interval type-2 fuzzy sets applied to
biological modeling
Includes applications regarding selected cases of HIV and COVID-19
epidemics, populations models, as well as prostate cancer and
pharmacological models
Includes suggested projects for development of future works
This book offers a gentle introduction to type-2 fuzzy sets and, in particular, interval type-2
fuzzy sets and their application in biological modeling. Interval type-2 fuzzy modeling is a
comparatively recent direction of research in fuzzy modeling. As the modeling of biological
problems is inherently uncertain, the use of fuzzy sets in this field is a natural choice. The
coverage begins with a succinct review of type-1 fuzzy basic theory, before providing a
comprehensive and didactic explanation of type-2 fuzzy set components. In turn, Fuzzy Rule
Based Systems, or FRBS, are shown for both types, interval type-2 and type-1 fuzzy sets.
Applications include the pharmacological models, prediction of prostate cancer stages, a model
for HIV population transfer (asymptomatic to symptomatic), an epidemiological disease caused
by HIV, some models in population growth, included the Malthus Model, and an epidemic
model refers to COVID-19. The book is ideally suited to graduate students in mathematics and
related fields, professionals, researchers, or the public interested in interval type-2 fuzzy
modeling. Largely self-contained, it can also be used as a supplementary text in specialized
graduate courses.
Due 2021-01-22
1st ed. 2020, IV, 136 p. 90 illus., 87 illus. in color.
Softcover
ISBN 978-3-030-64529-8
Product category : Brief
Series : SpringerBriefs in Mathematics
Mathematics : Mathematical and Computational Biology
Text supported throughout with problems
Authors include source code in Python in the book
Suitable for advanced undergraduate and graduate students in computer
science
This book teaches algebra and geometry. The authors dedicate chapters to the key issues of
matrices, linear equations, matrix algorithms, vector spaces, lines, planes, second-order curves,
and elliptic curves. The text is supported throughout with problems, and the authors have
included source code in Python in the book. The book is suitable for advanced undergraduate
and graduate students in computer science.
Due 2021-02-01
1st ed. 2021, XVI, 425 p. 49 illus.
Hardcover
ISBN 978-3-030-61540-6
Product category : Graduate/advanced undergraduate textbook
Computer Science : Mathematics of Computing
Step-by-Step Guide from Beginner to Expert
Unique, understandable view of machine learning using many practical
examples and access to open source code
Introduces AI-TOOLKIT, freely available software that allows the reader to
test and study the examples in the book
No programming or scripting skills needed
Suitable for self-study by professionals, also useful as a supplementary
resource for advanced undergraduate and graduate courses on AI
This book presents a unique, understandable view of machine learning using many practical
examples and access to free professional software and open source code. The user-friendly
software can immediately be used to apply everything you learn in the book without the need
for programming. After an introduction to machine learning and artificial intelligence, the
chapters in Part II present deeper explanations of machine learning algorithms, performance
evaluation of machine learning models, and how to consider data in machine learning
environments. In Part III the author explains automatic speech recognition, and in Part IV
biometrics recognition, face- and speaker-recognition. By Part V the author can then explain
machine learning by example, he offers cases from real-world applications, problems, and
techniques, such as anomaly detection and root cause analyses, business process
improvement, detecting and predicting diseases, recommendation AI, several engineering
applications, predictive maintenance, automatically classifying datasets, dimensionality
reduction, and image recognition. Finally, in Part VI he offers a detailed explanation of the AITOOLKIT,
software he developed that allows the reader to test and study the examples in the
book and the application of machine learning in professional environments. The author
introduces core machine learning concepts and supports these with practical examples of their
use, so professionals will appreciate his approach and use the book for self-study. It will also
be useful as a supplementary resource for advanced undergraduate and graduate courses on
machine learning and artificial intelligence
Due 2021-02-24
1st ed. 2021, XXXV, 424 p. 256 illus., 228 illus. in color.
Hardcover
ISBN 978-3-030-60031-0
Product category : Professional book
Computer Science : Artificial Intelligence