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Advances in Multi-Objective Nature Inspired Computing (Repost)

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Advances in Multi-Objective Nature Inspired Computing (Repost)

Advances in Multi-Objective Nature Inspired Computing by Carlos A. Coello Coello
English | PDF | 2010 | 204 Pages | ISBN : 364211217X | 19.8 MB

The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.

Power Estimation and Optimization Methodologies for VLIW-Based Embedded Systems

Posted By: AvaxGenius
Power Estimation and Optimization Methodologies for VLIW-Based Embedded Systems

Power Estimation and Optimization Methodologies for VLIW-Based Embedded Systems by Vittorio Zaccaria
English | PDF | 2003 | 215 Pages | ISBN : 1402073771 | 9.3 MB

LOW power design is playing an important role in today ultra-large scale integration (ULSI) design, particularly as we continue to double the number of transistors on a die every two years and increase the frequency of operation at fairly the same rate. Certainly, an important aspect of low power faces with mobile communications and it has a huge impact on our lives, as we are at the start-line of the proliferation of mobile PDA’s (Personal Digital Assistants), Wireless LAN and portable multi-media computing.

Memory Design Techniques for Low Energy Embedded Systems

Posted By: AvaxGenius
Memory Design Techniques for Low Energy Embedded Systems

Memory Design Techniques for Low Energy Embedded Systems by Alberto Macii
English | PDF | 2002 | 150 Pages | ISBN : 0792376900 | 17.2 MB

Memory Design Techniques for Low Energy Embedded Systems centers one of the most outstanding problems in chip design for embedded application. It guides the reader through different memory organizations and technologies and it reviews the most successful strategies for optimizing them in the power and performance plane.

Analysis and Synthesis of Distributed Real-Time Embedded Systems

Posted By: AvaxGenius
Analysis and Synthesis of Distributed Real-Time Embedded Systems

Analysis and Synthesis of Distributed Real-Time Embedded Systems by Paul Pop
English | PDF | 2004 | 333 Pages | ISBN : 1402028725 | 27.5 MB

Embedded computer systems are now everywhere: from alarm clocks to PDAs, from mobile phones to cars, almost all the devices we use are controlled by embedded computers. An important class of embedded computer systems is that of hard real-time systems, which have to fulfill strict timing requirements. As real-time systems become more complex, they are often implemented using distributed heterogeneous architectures.

Shortest Connectivity: An Introduction with Applications in Phylogeny (Repost)

Posted By: AvaxGenius
Shortest Connectivity: An Introduction with Applications in Phylogeny (Repost)

Shortest Connectivity: An Introduction with Applications in Phylogeny by Dietmar Cieslik
English | PDF | 2005 | 277 Pages | ISBN : 0387235388 | 11.5 MB

The problem of "Shortest Connectivity" has a long and convoluted history: given a finite set of points in a metric space, search for a network that connects these points with the shortest possible length. This shortest network must be a tree and may contain vertices different from the points which are to be connected. Over the years more and more real-life problems are given, which use this problem or one of its relatives as an application, as a subproblem or a model.

Abstract Convexity and Global Optimization

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Abstract Convexity and Global Optimization

Abstract Convexity and Global Optimization by Alexander Rubinov
English | PDF | 2000 | 506 Pages | ISBN : 079236323X | 38.1 MB

Special tools are required for examining and solving optimization problems. The main tools in the study of local optimization are classical calculus and its modern generalizions which form nonsmooth analysis. The gradient and various kinds of generalized derivatives allow us to ac­ complish a local approximation of a given function in a neighbourhood of a given point. This kind of approximation is very useful in the study of local extrema.

Multi-agent Optimization

Posted By: AvaxGenius
Multi-agent Optimization

Multi-agent Optimization: Cetraro, Italy 2014 by Angelia Nedić
English | EPUB | 2018 | 317 Pages | ISBN : 3319971417 | 24.2 MB

This book contains three well-written research tutorials that inform the graduate reader about the forefront of current research in multi-agent optimization. These tutorials cover topics that have not yet found their way in standard books and offer the reader the unique opportunity to be guided by major researchers in the respective fields. Multi-agent optimization, lying at the intersection of classical optimization, game theory, and variational inequality theory, is at the forefront of modern optimization and has recently undergone a dramatic development. It seems timely to provide an overview that describes in detail ongoing research and important trends.

Algorithms and Data Structures: The Basic Toolbox

Posted By: AvaxGenius
Algorithms and Data Structures: The Basic Toolbox

Algorithms and Data Structures: The Basic Toolbox by Kurt Mehlhorn
English | PDF(True) | 2008 | 305 Pages | ISBN : 3540779779 | 3.9 MB

Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems.

Metaheuristics and Nature Inspired Computing

Posted By: AvaxGenius
Metaheuristics and Nature Inspired Computing

Metaheuristics and Nature Inspired Computing: 8th International Conference, META 2021, Marrakech, Morocco, October 27-30, 2021, Proceedings by Bernabé Dorronsoro
English | PDF | 2022 | 230 Pages | ISBN : 3030942155 | 13.8 MB

This volume constitutes selected papers presented during the 8th International Conference on Metaheuristics and Nature Inspired Computing, META 2021, held in Marrakech, Morocco, in October 201. Due to the COVID-19 pandemic the conference was partiqally held online.

Non-Connected Convexities and Applications

Posted By: AvaxGenius
Non-Connected Convexities and Applications

Non-Connected Convexities and Applications by Gabriela Cristescu
English | PDF | 2002 | 375 Pages | ISBN : 1402006241 | 30 MB

Lectori salutem! The kind reader opens the book that its authors would have liked to read it themselves, but it was not written yet. Then, their only choice was to write this book, to fill a gap in the mathematicalliterature. The idea of convexity has appeared in the human mind since the antiquity and its fertility has led to a huge diversity of notions and of applications.

A New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics

Posted By: AvaxGenius
A New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics

A New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics by Oscar Castillo
English | EPUB | 2022 | 76 Pages | ISBN : 3030822877 | 7 MB

This book focuses on the fields of nature-inspired algorithms, optimization problems and fuzzy logic. In this book, a new metaheuristic based on String Theory from Physics is proposed. It is important to mention that we have proposed the new algorithm to generate new potential solutions in optimization problems in order to find new ways that could improve the results in solving these problems.

Signal Analysis and Prediction

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Signal Analysis and Prediction

Signal Analysis and Prediction by Ales Procházka
English | PDF | 1998 | 520 Pages | ISBN : 0817640428 | 49 MB

Methods of signal analysis represent a broad research topic with applications in many disciplines, including engineering, technology, biomedicine, seismography, eco­ nometrics, and many others based upon the processing of observed variables. Even though these applications are widely different, the mathematical background be­ hind them is similar and includes the use of the discrete Fourier transform and z-transform for signal analysis, and both linear and non-linear methods for signal identification, modelling, prediction, segmentation, and classification.

Modeling Languages in Mathematical Optimization

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Modeling Languages in Mathematical Optimization

Modeling Languages in Mathematical Optimization by Josef Kallrath
English | PDF | 2004 | 427 Pages | ISBN : 1402075472 | 46.9 MB

This volume presents a unique combination of modeling and solving real world optimization problems. It is the only book which treats systematically the major modeling languages and systems used to solve mathematical optimization problems, and it also provides a useful overview and orientation of today's modeling languages in mathematical optimization. It demonstrates the strengths and characteristic features of such languages and provides a bridge for researchers, practitioners and students into a new world: solving real optimization problems with the most advances modeling systems.

Pattern Recognition and String Matching

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Pattern Recognition and String Matching

Pattern Recognition and String Matching by Dechang Chen
English | PDF | 2002 | 759 Pages | ISBN : 1402009534 | 70 MB

The research and development of pattern recognition have proven to be of importance in science, technology, and human activity. Many useful concepts and tools from different disciplines have been employed in pattern recognition. Among them is string matching, which receives much theoretical and practical attention. String matching is also an important topic in combinatorial optimization.

Biocomputing

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Biocomputing

Biocomputing by Panos M. Pardalos
English | PDF | 2002 | 265 Pages | ISBN : 1402006411 | 23.7 MB

In the quest to understand and model the healthy or sick human body, re­ searchers and medical doctors are utilizing more and more quantitative tools and techniques. This trend is pushing the envelope of a new field we call Biomedical Computing, as an exciting frontier among signal processing, pattern recognition, optimization, nonlinear dynamics, computer science and biology, chemistry and medicine.