Pixel Problems

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Publisher :
ISBN 13 :
Total Pages : 94 pages
Book Rating : 4.92/5 ( download)

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Book Synopsis Pixel Problems by : Warren E. Grabau

Download or read book Pixel Problems written by Warren E. Grabau and published by . This book was released on 1976 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Inverse Problems

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Publisher : Cambridge University Press
ISBN 13 : 9780883857168
Total Pages : 246 pages
Book Rating : 4.62/5 ( download)

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Book Synopsis Inverse Problems by : C. W. Groetsch

Download or read book Inverse Problems written by C. W. Groetsch and published by Cambridge University Press. This book was released on 1999-12-02 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discusses the direction in which the field of differential equations, and its teaching, is going.

Handbook of Research on Natural Computing for Optimization Problems

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Publisher : IGI Global
ISBN 13 : 1522500596
Total Pages : 1015 pages
Book Rating : 4.99/5 ( download)

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Book Synopsis Handbook of Research on Natural Computing for Optimization Problems by : Mandal, Jyotsna Kumar

Download or read book Handbook of Research on Natural Computing for Optimization Problems written by Mandal, Jyotsna Kumar and published by IGI Global. This book was released on 2016-05-25 with total page 1015 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues. The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference for researchers, academicians, students, scientists, and technology developers interested in a multidisciplinary perspective on natural computational systems.

Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK®

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Publisher : CRC Press
ISBN 13 : 1498743722
Total Pages : 731 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK® by : S. Sumathi

Download or read book Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK® written by S. Sumathi and published by CRC Press. This book was released on 2018-09-03 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments. CI techniques involve a combination of learning, adaptation, and evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® explores the performance of CI in terms of knowledge representation, adaptability, optimality, and processing speed for different real-world optimization problems. Focusing on the practical implementation of CI techniques, this book: Discusses the role of CI paradigms in engineering applications such as unit commitment and economic load dispatch, harmonic reduction, load frequency control and automatic voltage regulation, job shop scheduling, multidepot vehicle routing, and digital image watermarking Explains the impact of CI on power systems, control systems, industrial automation, and image processing through the above-mentioned applications Shows how to apply CI algorithms to constraint-based optimization problems using MATLAB® m-files and Simulink® models Includes experimental analyses and results of test systems Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® provides a valuable reference for industry professionals and advanced undergraduate, postgraduate, and research students.

Spatial Point Patterns

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Publisher : CRC Press
ISBN 13 : 1482210215
Total Pages : 830 pages
Book Rating : 4.17/5 ( download)

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Book Synopsis Spatial Point Patterns by : Adrian Baddeley

Download or read book Spatial Point Patterns written by Adrian Baddeley and published by CRC Press. This book was released on 2015-11-11 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern Statistical Methodology and Software for Analyzing Spatial Point PatternsSpatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on th

Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing

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Publisher : John Wiley & Sons
ISBN 13 : 1118827074
Total Pages : 322 pages
Book Rating : 4.79/5 ( download)

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Book Synopsis Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing by : Jean-Francois Giovannelli

Download or read book Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing written by Jean-Francois Giovannelli and published by John Wiley & Sons. This book was released on 2015-02-02 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information into account is necessary for grasping the domain of validity and the field of application for the solutions built. For too long, the interest in these problems has remained very limited in the signal-image community. However, the community has since recognized that these matters are more interesting and they have become the subject of much greater enthusiasm. From the application field’s point of view, a significant part of the book is devoted to conventional subjects in the field of inversion: biological and medical imaging, astronomy, non-destructive evaluation, processing of video sequences, target tracking, sensor networks and digital communications. The variety of chapters is also clear, when we examine the acquisition modalities at stake: conventional modalities, such as tomography and NMR, visible or infrared optical imaging, or more recent modalities such as atomic force imaging and polarized light imaging.

Handbook of Mathematical Models in Computer Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 0387288317
Total Pages : 612 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Handbook of Mathematical Models in Computer Vision by : Nikos Paragios

Download or read book Handbook of Mathematical Models in Computer Vision written by Nikos Paragios and published by Springer Science & Business Media. This book was released on 2006-01-16 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marr's theory v^as a pioneering step tov^ards understanding visual percep tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest.

Computer Modelling in Tomography and Ill Posed Problems

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Publisher : VSP
ISBN 13 : 9789067643504
Total Pages : 144 pages
Book Rating : 4.05/5 ( download)

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Book Synopsis Computer Modelling in Tomography and Ill Posed Problems by : Michail M. Lavrent'ev

Download or read book Computer Modelling in Tomography and Ill Posed Problems written by Michail M. Lavrent'ev and published by VSP. This book was released on 2001-01-01 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last decades of the 20th century were marked by the appearance of a new field of mathematics: computerized tomography. Its theory forms the basis for the solution of many applied problems. The methods of computerized tomography make it possible study the interior structure of a body by examining the characteristics of radiation passing through the object under study (transmission tomography). Depending on the type of radiation used, X-ray, optical, seismic, and some other kinds of tomography can be distinguished. Comparatively weakly researched, untraditional tomography problems are being solved because of new achievements in calculation mathematics and the theory of ill-posed problems (3D cone-beam tomography, geo-tomography). Experiments show possibilities and applicability of algorithms of processing tomography data. This monograph is devoted to considering these problems in connection with series of ill-posed problems in tomography settings, arising from practice. The basic themes of the book are: mathematical basis of the method of computerized tomography; algorithms for 3D cone-beam tomography; and inverse kinematics problems in tomographic settings (geo-tomography). This volume in the Inverse and Ill-Posed Problems Series will be of interest to researchers, graduates and post-graduates in X-ray, optical, seismic, as well as some other kinds of tomography in both academia and industry.

Discrete Signals and Inverse Problems

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Publisher : John Wiley & Sons
ISBN 13 : 0470021888
Total Pages : 364 pages
Book Rating : 4.80/5 ( download)

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Book Synopsis Discrete Signals and Inverse Problems by : J. Carlos Santamarina

Download or read book Discrete Signals and Inverse Problems written by J. Carlos Santamarina and published by John Wiley & Sons. This book was released on 2005-12-13 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discrete Signals and Inverse Problems examines fundamental concepts necessary to engineers and scientists working with discrete signal processing and inverse problem solving, and places emphasis on the clear understanding of algorithms within the context of application needs. Based on the original ‘Introduction to Discrete Signals and Inverse Problems in Civil Engineering’, this expanded and enriched version: combines discrete signal processing and inverse problem solving in one book covers the most versatile tools that are needed to process engineering and scientific data presents step-by-step ‘implementation procedures’ for the most relevant algorithms provides instructive figures, solved examples and insightful exercises Discrete Signals and Inverse Problems is essential reading for experimental researchers and practicing engineers in civil, mechanical and electrical engineering, non-destructive testing and instrumentation. This book is also an excellent reference for advanced undergraduate students and graduate students in engineering and science.

Inverse Problems in Engineering Mechanics

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Publisher : Elsevier
ISBN 13 : 9780080535166
Total Pages : 622 pages
Book Rating : 4.6X/5 ( download)

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Book Synopsis Inverse Problems in Engineering Mechanics by : Masataka Tanaka

Download or read book Inverse Problems in Engineering Mechanics written by Masataka Tanaka and published by Elsevier. This book was released on 1998-11-09 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inverse problems can be found in many topics of engineering mechanics. There are many successful applications in the fields of inverse problems (non-destructive testing and characterization of material properties by ultrasonic or X-ray techniques, thermography, etc.). Generally speaking, the inverse problems are concerned with the determination of the input and the characteristics of a mechanical system from some of the output from the system. Mathematically, such problems are ill-posed and have to be overcome through development of new computational schemes, regularization techniques, objective functionals, and experimental procedures. Seventy-two papers were presented at the International Symposium on Inverse Problems in Mechanics (ISIP '98) held in March of 1998 in Nagano, where recent developments in the inverse problems in engineering mechanics and related topics were discussed. The main themes were: mathematical and computational aspects of the inverse problems, parameter or system identification, shape determination, sensitivity analysis, optimization, material property characterization, ultrasonic non-destructive testing, elastodynamic inverse problems, thermal inverse problems, and other engineering applications.