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Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing)
Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing)
In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals. In probability calculations we apply constrained fuzzy arithmetic...
Computational Engineering - Introduction to Numerical Methods
Computational Engineering - Introduction to Numerical Methods
This book is an introduction to modern numerical methods in engineering. It covers applications in fluid mechanics, structural mechanics, and heat transfer as the most relevant fields for engineering disciplines such as computational engineering, scientific computing, mechanical engineering as well as chemical and civil engineering. The content...
CMOS PLL Synthesizers: Analysis and Design (The International Series in Engineering and Computer Science)
CMOS PLL Synthesizers: Analysis and Design (The International Series in Engineering and Computer Science)
Thanks to the advance of semiconductor and communication technology,
the wireless communication market has been booming in the last two
decades. It evolved from simple pagers to emerging third-generation (3G)
cellular phones. In the meanwhile, broadband communication market has
also gained a rapid growth. As the market always
...
Flexible Neuro-Fuzzy Systems : Structures, Learning and Performance Evaluation
Flexible Neuro-Fuzzy Systems : Structures, Learning and Performance Evaluation
Over the last decade fuzzy sets and fuzzy logic introduced in 1965 by
Lotfi Zadeh [113] have been used in a wide range of problem domains
including process control, image processing, pattern recognition and
classification, management, economics and decision making. Specific
applications include washing-machine automation,
...
Computational Probability: Algorithms and Applications in the Mathematical Sciences (International Series in Operations Research & Management Science)
Computational Probability: Algorithms and Applications in the Mathematical Sciences (International Series in Operations Research & Management Science)

This title organizes computational probability methods into a systematic treatment. The book examines two categories of problems. "Algorithms for Continuous Random Variables" covers data structures and algorithms, transformations of random variables, and products of independent random variables. "Algorithms for...

Computational Geometry: Algorithms and Applications, Second Edition
Computational Geometry: Algorithms and Applications, Second Edition
This well-accepted introduction to computational geometry is a textbook for high-level undergraduate and low-level graduate courses. The focus is on algorithms and hence the book is well suited for students in computer science and engineering. Motivation is provided from the application areas: all solutions and techniques from computational...
Analysis of Phylogenetics and Evolution with R (Use R!)
Analysis of Phylogenetics and Evolution with R (Use R!)
Phylogenetics is the science of the evolutionary relationships among species. Recently, the term has come to include broader issues such as estimating rates of evolution, dating divergence among species, reconstructing ancestral characters, or quantifying adaptation, all these using phylogenies as frameworks. ...
Constraint Databases and Applications: First International Symposium, CDB 2004, Paris, France, June 12-13, 2004, Proceedings (Lecture Notes in Computer Science)
Constraint Databases and Applications: First International Symposium, CDB 2004, Paris, France, June 12-13, 2004, Proceedings (Lecture Notes in Computer Science)
The ?rst International Symposium on the Applications of Constraint Databases (CDB2004) took place in Paris, France, on June 12–13, 2004, just before the ACM SIGMOD and PODS conferences. Since the publication of the paper “Constraint Query Languages” by Kan- lakis, Kuper and Revesz in 1990, the last decade has seen a growing...
Models and Algorithms for Global Optimization: Essays Dedicated to Antanas Žilinskas on the Occasion of His 60th Birthday (Springer Optimization and Its Applications)
Models and Algorithms for Global Optimization: Essays Dedicated to Antanas Žilinskas on the Occasion of His 60th Birthday (Springer Optimization and Its Applications)

The research of Antanas Zilinskas has focused on developing models for global optimization, implementing and investigating the corresponding algorithms, and applying those algorithms to practical problems. This volume, dedicated to Professor Zilinskas on the occasion of his 60th birthday, contains new survey papers in which leading...

A VLSI Architecture for Concurrent Data Structures (The Springer International Series in Engineering and Computer Science)
A VLSI Architecture for Concurrent Data Structures (The Springer International Series in Engineering and Computer Science)
Concurrent data structures simplify the development of concurrent programs by encapsulating commonly used mechanisms for synchronization and commu­ nication into data structures. This thesis develops a notation for describing concurrent data structures, presents examples of concurrent data structures, and describes an architecture to support...
Control of Noise and Structural Vibration: A MATLAB®-Based Approach
Control of Noise and Structural Vibration: A MATLAB®-Based Approach
Control of Noise and Structural Vibration presents a MATLAB®-based approach to solving the problems of undesirable noise generation and transmission by structures and of undesirable vibration within structures in response to environmental or operational forces. The fundamentals of acoustics, vibration and coupling between vibrating...
Inference Control in Statistical Databases: From Theory to Practice (Lecture Notes in Computer Science)
Inference Control in Statistical Databases: From Theory to Practice (Lecture Notes in Computer Science)
Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source...
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