Learn IT - Books tags computation

Design of Image Processing Embedded Systems Using Multidimensional Data Flow

Springer, 2010

With the availability of chips offering constantly increasing computational performance and functionality, design of more and more complex applications becomes possible. This is particularly true for the domain of image processing, which is characterized by huge computation efforts. Unfortunately, this evolution risks to be stopped by...

Neural Networks: Computational Models and Applications (Studies in Computational Intelligence)

Springer, 2007

Artificial neural networks, or simply called neural networks, refer to the various mathematical models of human brain functions such as perception, computation and memory. It is a fascinating scientific challenge of our time to understand how the human brain works. Modeling neural networks facilitates us in investigating the...

Handbook of Approximate Bayesian Computation (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

CRC Press, 2018

As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead. For the very first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive overview of the theory, practice and application of ABC methods. These simple, but...

Systems Modeling and Simulation: Theory and Applications, Asian Simulation Conference 2006

Springer, 2007

The Asia Simulation Conference 2006 (JSST 2006) was aimed at exploring challenges in methodologies for modeling, control and computation in simulation, and their applications in social, economic, and financial fields as well as established scientific and engineering solutions. The conference was held in Tokyo from October 30 to November 1, 2006,...

Mathematical Methods in Computer Science: Essays in Memory of Thomas Beth

Springer, 2008

This Festschrift volume contains the proceedings of the conference Mathematical Methods in Computer Science, MMICS 2008, which was held during December 17-19, 2008, in Karlsruhe, Germany, in memory of Thomas Beth.

The themes of the conference reflected the many interests of Thomas Beth. Although, these interests might seem diverse, mathematical...

Molecular Computing

MIT Press, 2003

This text covers abstract principles of molecular computing and the building of actual systems. Topics include the use of proteins and other molecules for information processing, molecular recognition, computation in nonlinear media, and more.

The next great change in computer science and information technology will come from mimicking...

Cryptography in C and C++

Apress, 2013

This book covers everything you need to know to write professional-level cryptographic code. This expanded, improved second edition includes about 100 pages of additional material as well as numerous improvements to the original text. The chapter about random number generation has been completely rewritten, and the latest cryptographic...

Digital Signal Processing Using MATLAB

Cengage Learning, 2011

From the beginning of the 1980s we have witnessed a revolution in computer technology and an explosion in user-friendly applications. This revolution is still continuing today with low-cost personal computer systems that rival the performance of expensive workstations. This technological prowess should be brought to bear on the...

Marine Acoustics: Direct and Inverse Problems

SIAM, 2003

‘This book is a very thorough mathematical treatise on direct and inverse problems in marine acoustics. Waveguide inversion problems have not received the attention they deserve in the literature and this book may correct some of this inattention.’ John A. DeSanto, Mathematical Reviews

This book presents current...

Computer Algebra Recipes: An Introductory Guide to the Mathematical Models of Science

Springer, 2006

A computer algebra system (CAS) not only has the ability to "crunch numbers" and plot results, like traditional computing languages such as Fortran and C, but it can also perform the symbolic manipulations and analytic derivations required in most undergraduate and graduate science and engineering courses. To introduce students in these...

Fast Reliable Algorithms for Matrices with Structure (Advances in Design and Control)

SIAM, 1987

This book is the first to pay special attention to the combined issues of speed and numerical reliability in algorithm development. These two requirements have often been regarded as competitive, so much so that the design of fast and numerically reliable algorithms for large-scale structured systems of linear equations, in many cases, remains a...

Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)

Springer, 2013

Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have...

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