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Discrete-Time and Discrete-Space Dynamical Systems (Communications and Control Engineering)
Discrete-Time and Discrete-Space Dynamical Systems (Communications and Control Engineering)
Discrete-Time and Discrete-Space Dynamical Systems provides a systematic characterization of the similarities and differences of several types of discrete-time and discrete-space dynamical systems, including:
  • Boolean control networks;
  • nondeterministic finite-transition...
New Paradigm of Industry 4.0: Internet of Things, Big Data & Cyber Physical Systems (Studies in Big Data)
New Paradigm of Industry 4.0: Internet of Things, Big Data & Cyber Physical Systems (Studies in Big Data)

The book provides readers with an overview of the state of the art in the field of Industry 4.0 and related research advancements. The respective chapters identify and discuss new dimensions of both risk factors and success factors, along with performance metrics that can be employed in future research work. They also discuss a...

Algorithms and Data Structures in Vlsi Design: Obdd - Foundations And Applications
Algorithms and Data Structures in Vlsi Design: Obdd - Foundations And Applications
One of the main problems in chip design is the enormous number of possible combinations of individual chip elements within a system, and the problem of their compatibility. The recent application of data structures, efficient algorithms, and ordered binary decision diagrams (OBDDs) has proven vital in designing the computer chips of tomorrow....
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and...

Algorithms from and for Nature and Life: Classification and Data Analysis (Studies in Classification, Data Analysis, and Knowledge Organization)
Algorithms from and for Nature and Life: Classification and Data Analysis (Studies in Classification, Data Analysis, and Knowledge Organization)

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional...

Monte Carlo and Quasi-Monte Carlo Methods 2012 (Springer Proceedings in Mathematics & Statistics)
Monte Carlo and Quasi-Monte Carlo Methods 2012 (Springer Proceedings in Mathematics & Statistics)

This book represents the refereed proceedings of the Tenth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of New South Wales (Australia) in February 2012. These biennial conferences are major events for Monte Carlo and the premiere event for quasi-Monte Carlo...

Matrix Information Geometry
Matrix Information Geometry

This book presents advances in matrix and tensor data processing in the domain of signal, image and information processing. The theoretical mathematical approaches are discusses in the context of potential applications in sensor and cognitive systems engineering.
The topics and application include Information Geometry, Differential
...

Neural Networks
Neural Networks

Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes...

Sparse Representations and Compressive Sensing for Imaging and Vision (SpringerBriefs in Electrical and Computer Engineering)
Sparse Representations and Compressive Sensing for Imaging and Vision (SpringerBriefs in Electrical and Computer Engineering)

Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal.  These measurements are usually much smaller than the number of samples that define the signal.  From these small numbers of measurements, the signal is then...

Visualization of Time-Oriented Data (Human-Computer Interaction Series)
Visualization of Time-Oriented Data (Human-Computer Interaction Series)
Time is an exceptional dimension.We recognize this every day: when we are waiting for a train, time seems to run at a snail’s pace, but the hours we spend in a bar with a good friend pass by so quickly. There are times when one can wait endlessly for something to happen, and there are times when one is overwhelmed by events...
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
The aim of this book is to teach computer programming using examples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable expressive power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to...
Communicating with XML
Communicating with XML
XML (Extensible Markup Language) is the lingua franca in contemporary networked environments. It is intended to support communication between software modules, particularly on the Web, as well as communication between people involved in developing new XML-based solutions. Developing the new solutions for a specifi c domain or...
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