Visualization And Optimization

Author : Christopher V. Jones
Publisher : Springer Science & Business Media
Page : 436 pages
File Size : 44,5 Mb
Release : 2013-04-17
Category : Business & Economics
ISBN : 9781461541219

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Visualization and Optimization by Christopher V. Jones Pdf

This book arose out of an invited feature article on visualization and opti mization that appeared in the ORSA Journal on Computing in 1994. That article briefly surveyed the current state of the art in visualization as it ap plied to optimization. In writing the feature article, it became clear that there was much more to say. Apparently others agreed, and thus this book was born. The book is targeted primarily towards the optimization community rather than the visualization community. Although both optimization and visualization both seek to help people understand complex problems, prac titioners in one field are generally unaware of work in the other field. Given the common goals of the respective fields, it seemed fruitful to consider how each can contribute to the other. One might argue that this book should not be focused specifically on optimization but on decision making in general. Perhaps, but it seems that there is sufficient material to create a book targeted specifically to optimization. Certainly many of the ideas presented in the book are appli cable to other areas, including computer simulation, decision theory and stochastic modeling. Another book could discuss the use of visualization in these areas.

Author : Dean Vucinic,Fabiana Rodrigues Leta,Sheeja Janardhanan
Publisher : Springer Nature
Page : 356 pages
File Size : 48,7 Mb
Release : 2019-09-27
Category : Technology & Engineering
ISBN : 9789811398063

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Advances in Visualization and Optimization Techniques for Multidisciplinary Research by Dean Vucinic,Fabiana Rodrigues Leta,Sheeja Janardhanan Pdf

This volume presents several multidisciplinary approaches to the visual representation of data acquired from experiments. As an expansion of these approaches, it is also possible to include data examination generated by mathematical-physical modeling. Imaging Systems encompass any subject related to digital images, from fundamental requirements for a correct image acquisition to computational algorithms that make it possible to obtain relevant information for image analysis. In this context, the book presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016.

Author : Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas
Publisher : Springer Science & Business Media
Page : 262 pages
File Size : 46,7 Mb
Release : 2012-11-08
Category : Mathematics
ISBN : 9781441902368

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Multidimensional Data Visualization by Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas Pdf

This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine). The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed. The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed. The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents. This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.

Author : Boris Kovalerchuk
Publisher : Springer Nature
Page : 510 pages
File Size : 53,6 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 9783031465499

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Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery by Boris Kovalerchuk Pdf

Author : Frits H. Post,Gregory M. Nielson,Georges-Pierre Bonneau
Publisher : Springer Science & Business Media
Page : 445 pages
File Size : 51,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461511779

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Data Visualization by Frits H. Post,Gregory M. Nielson,Georges-Pierre Bonneau Pdf

Data visualization is currently a very active and vital area of research, teaching and development. The term unites the established field of scientific visualization and the more recent field of information visualization. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second premise is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources. These concepts are extremely important and have a profound and widespread impact on the methodology of computational science and engineering, as well as on management and administration. The interplay between various application areas and their specific problem solving visualization techniques is emphasized in this book. Reflecting the heterogeneous structure of Data Visualization, emphasis was placed on these topics: -Visualization Algorithms and Techniques; -Volume Visualization; -Information Visualization; -Multiresolution Techniques; -Interactive Data Exploration. Data Visualization: The State of the Art presents the state of the art in scientific and information visualization techniques by experts in this field. It can serve as an overview for the inquiring scientist, and as a basic foundation for developers. This edited volume contains chapters dedicated to surveys of specific topics, and a great deal of original work not previously published illustrated by examples from a wealth of applications. The book will also provide basic material for teaching the state of the art techniques in data visualization. Data Visualization: The State of the Art is designed to meet the needs of practitioners and researchers in scientific and information visualization. This book is also suitable as a secondary text for graduate level students in computer science and engineering.

Author : Jonas Mockus,William Eddy,Gintaras Reklaitis
Publisher : Springer Science & Business Media
Page : 394 pages
File Size : 42,5 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475726275

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Bayesian Heuristic Approach to Discrete and Global Optimization by Jonas Mockus,William Eddy,Gintaras Reklaitis Pdf

Bayesian decision theory is known to provide an effective framework for the practical solution of discrete and nonconvex optimization problems. This book is the first to demonstrate that this framework is also well suited for the exploitation of heuristic methods in the solution of such problems, especially those of large scale for which exact optimization approaches can be prohibitively costly. The book covers all aspects ranging from the formal presentation of the Bayesian Approach, to its extension to the Bayesian Heuristic Strategy, and its utilization within the informal, interactive Dynamic Visualization strategy. The developed framework is applied in forecasting, in neural network optimization, and in a large number of discrete and continuous optimization problems. Specific application areas which are discussed include scheduling and visualization problems in chemical engineering, manufacturing process control, and epidemiology. Computational results and comparisons with a broad range of test examples are presented. The software required for implementation of the Bayesian Heuristic Approach is included. Although some knowledge of mathematical statistics is necessary in order to fathom the theoretical aspects of the development, no specialized mathematical knowledge is required to understand the application of the approach or to utilize the software which is provided. Audience: The book is of interest to both researchers in operations research, systems engineering, and optimization methods, as well as applications specialists concerned with the solution of large scale discrete and/or nonconvex optimization problems in a broad range of engineering and technological fields. It may be used as supplementary material for graduate level courses.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 50,6 Mb
Release : 2001
Category : Electronic
ISBN : OCLC:746484107

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Visualization and Optimization Techniques by Anonim Pdf

Author : E. Wes Bethel,Hank Childs,Charles Hansen
Publisher : CRC Press
Page : 520 pages
File Size : 54,9 Mb
Release : 2012-10-25
Category : Computers
ISBN : 9781439875735

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High Performance Visualization by E. Wes Bethel,Hank Childs,Charles Hansen Pdf

Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms. High Performance Visualization: Enabling Extreme-Scale Scientific Insight focuses on the subset of scientifi

Author : Alexander V. Lotov,Vladimir A. Bushenkov,Georgy K. Kamenev
Publisher : Springer Science & Business Media
Page : 324 pages
File Size : 45,9 Mb
Release : 2013-11-27
Category : Mathematics
ISBN : 9781441988515

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Interactive Decision Maps by Alexander V. Lotov,Vladimir A. Bushenkov,Georgy K. Kamenev Pdf

Since the volume may be of interest to a broad variety of people, it is arranged in parts that require different levels of mathematical background. Part I can be assessed by those interested in the application of visualization methods in decision making. In Part II computational methods are introduced in a relatively simple form. Part III is written for readers in applied mathematics interested in the theoretical basis of modern optimization.

Author : David N. Culbreth
Publisher : Unknown
Page : 128 pages
File Size : 55,7 Mb
Release : 2017-06-15
Category : Electronic
ISBN : 099902860X

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Dynamic Value Chains by David N. Culbreth Pdf

As a new vision of value chains, the Dynamic Value Chain is a uniform business architecture that applies to all industries and business types. In this book, the structure of the Dynamic Value Chain is defined and illustrated through case studies from large, well-known companies and smaller, regional businesses.

Author : Thomas Bäck,Mike Preuss,André Deutz,Hao Wang,Carola Doerr,Michael Emmerich,Heike Trautmann
Publisher : Springer Nature
Page : 717 pages
File Size : 44,6 Mb
Release : 2020-09-02
Category : Computers
ISBN : 9783030581152

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Parallel Problem Solving from Nature – PPSN XVI by Thomas Bäck,Mike Preuss,André Deutz,Hao Wang,Carola Doerr,Michael Emmerich,Heike Trautmann Pdf

This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.

Author : Yair Censor,Mingyue Ding
Publisher : SPIE-International Society for Optical Engineering
Page : 424 pages
File Size : 49,8 Mb
Release : 2001
Category : Computers
ISBN : UOM:39015053783380

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Visualization and Optimization Techniques by Yair Censor,Mingyue Ding Pdf

Author : Boris Kovalerchuk,Kawa Nazemi,Răzvan Andonie,Nuno Datia,Ebad Banissi
Publisher : Springer Nature
Page : 671 pages
File Size : 54,9 Mb
Release : 2022-06-04
Category : Technology & Engineering
ISBN : 9783030931193

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Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery by Boris Kovalerchuk,Kawa Nazemi,Răzvan Andonie,Nuno Datia,Ebad Banissi Pdf

This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering "n-D glasses," where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain. This book is a collection of 25 extended works of over 70 scholars presented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations. The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes.

Author : Helen C. Purchase,Ignaz Rutter
Publisher : Springer Nature
Page : 465 pages
File Size : 49,9 Mb
Release : 2021-12-22
Category : Computers
ISBN : 9783030929312

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Graph Drawing and Network Visualization by Helen C. Purchase,Ignaz Rutter Pdf

This book constitutes the proceedings of the 28th International Symposium on Graph Drawing and Network Visualization, GD 2021, which was held in Tübingen, Germany, during September 14-17, 2021. The 23 full papers and 5 short papers presented in these proceedings were carefully reviewed and selected from 74 submissions. The abstracts of 13 posters presented at the conference can be found in the back matter of the volume. The contributions were organized in topical sections as follows: Best Paper (Track 1: Combinatorial and Algorithmic Aspects); Best Paper (Track 2: Experimental, Applied, and Network Visualization Aspects); Crossing Minimization and Beyond-Planarity; Morphing and Graph Abstraction; Geometric Constraints; Topological and Upward Drawings; Linear Layouts; Contact and Visibility Representations; Geometric Aspects in Graph Drawing; AI applications; and Graph Drawing Contest Report.

Author : Hamish Carr,Christoph Garth,Tino Weinkauf
Publisher : Springer
Page : 363 pages
File Size : 45,5 Mb
Release : 2017-06-01
Category : Mathematics
ISBN : 9783319446844

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Topological Methods in Data Analysis and Visualization IV by Hamish Carr,Christoph Garth,Tino Weinkauf Pdf

This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of topological structures, all the way to mathematical topologies not previously applied to data analysis. Topological methods are broadly recognized as valuable tools for analyzing the ever-increasing flood of data generated by simulation or acquisition. This is particularly the case in scientific visualization, where the data sets have long since surpassed the ability of the human mind to absorb every single byte of data. The biannual TopoInVis workshop has supported researchers in this area for a decade, and continues to serve as a vital forum for the presentation and discussion of novel results in applications in the area, creating a platform to disseminate knowledge about such implementations throughout and beyond the community. The present volume, resulting from the 2015 TopoInVis workshop held in Annweiler, Germany, will appeal to researchers in the fields of scientific visualization and mathematics, domain scientists with an interest in advanced visualization methods, and developers of visualization software systems.