Optimization With Data Perturbations Ii
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Optimization With Data Perturbations Ii
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Author : Doug E. Ward
language : en
Publisher:
Release Date : 2001
Optimization With Data Perturbations Ii written by Doug E. Ward and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Mathematical optimization categories.
Mathematical Programming With Data Perturbations Ii Second Edition
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Author : Fiacco
language : en
Publisher: CRC Press
Release Date : 2020-09-24
Mathematical Programming With Data Perturbations Ii Second Edition written by Fiacco and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-24 with Mathematics categories.
This book presents theoretical results, including an extension of constant rank and implicit function theorems, continuity and stability bounds results for infinite dimensional problems, and the interrelationship between optimal value conditions and shadow prices for stable and unstable programs.
Perturbation Analysis Of Optimization Problems
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Author : J.Frederic Bonnans
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-22
Perturbation Analysis Of Optimization Problems written by J.Frederic Bonnans and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-22 with Mathematics categories.
The main subject of this book is perturbation analysis of continuous optimization problems. In the last two decades considerable progress has been made in that area, and it seems that it is time now to present a synthetic view of many important results that apply to various classes of problems. The model problem that is considered throughout the book is of the form (P) Min/(x) subjectto G(x) E K. xeX Here X and Y are Banach spaces, K is a closed convex subset of Y, and / : X -+ IR and G : X -+ Y are called the objective function and the constraint mapping, respectively. We also consider a parameteriZed version (P ) of the above u problem, where the objective function / (x, u) and the constraint mapping G(x, u) are parameterized by a vector u varying in a Banach space U. Our aim is to study continuity and differentiability properties of the optimal value v(u) and the set S(u) of optimal solutions of (P ) viewed as functions of the parameter vector u.
Mathematical Programming With Data Perturbations
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Author : Anthony V. Fiacco
language : en
Publisher: CRC Press
Release Date : 2020-09-24
Mathematical Programming With Data Perturbations written by Anthony V. Fiacco and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-24 with Mathematics categories.
Presents research contributions and tutorial expositions on current methodologies for sensitivity, stability and approximation analyses of mathematical programming and related problem structures involving parameters. The text features up-to-date findings on important topics, covering such areas as the effect of perturbations on the performance of algorithms, approximation techniques for optimal control problems, and global error bounds for convex inequalities.
Convex Optimization
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Author : Stephen P. Boyd
language : en
Publisher: Cambridge University Press
Release Date : 2004-03-08
Convex Optimization written by Stephen P. Boyd and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-08 with Business & Economics categories.
Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
Advances In Knowledge Discovery And Data Mining
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Author : De-Nian Yang
language : en
Publisher: Springer Nature
Release Date : 2024-04-24
Advances In Knowledge Discovery And Data Mining written by De-Nian Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-24 with Computers categories.
The 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7–10, 2024. The 177 papers presented in these proceedings were carefully reviewed and selected from 720 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
Lunar Transfer Orbits Utilizing Solar Perturbations And Ballistic Capture
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Author : Wolfgang Seefelder
language : en
Publisher: Herbert Utz Verlag
Release Date : 2002
Lunar Transfer Orbits Utilizing Solar Perturbations And Ballistic Capture written by Wolfgang Seefelder and has been published by Herbert Utz Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Artificial satellites categories.
Introduction To Sensitivity And Stability Analysis In Nonlinear Programming
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Author : Fiacco
language : en
Publisher: Academic Press
Release Date : 1983-11-02
Introduction To Sensitivity And Stability Analysis In Nonlinear Programming written by Fiacco and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983-11-02 with Computers categories.
Introduction to Sensitivity and Stability Analysis in Nonlinear Programming
Perturbation Based Privacy In Crowdsensing
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Author : Zhirun Zheng
language : en
Publisher: Springer Nature
Release Date : 2025-08-22
Perturbation Based Privacy In Crowdsensing written by Zhirun Zheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-22 with Computers categories.
This book investigates perturbation-based privacy in crowdsensing systems. The authors first present an explicit overview of crowdsensing systems and privacy challenges and briefly discuss how the noise added by perturbation-based privacy-preserving techniques could inevitably degrade data quality and facilitate the success of data poisoning attacks on crowdsensing. The authors then give a comprehensive review of classical privacy notions for perturbation-based privacy-preserving techniques and theoretically analyze the relations between these privacy notions. The next four chapters conduct a series of studies on privacy preservation in crowdsensing systems from three dimensions of data privacy, data utility and data poisoning. Finally, the book explores open issues and outlines future research directions for perturbation-based privacy preservation in crowdsensing systems. Advanced-level students majoring in the areas of network security, computer science and electrical engineering will find this book useful as a secondary text. Professionals seeking privacy-preserving solutions for crowdsensing systems will also find this book useful as a reference.
Robust Data Mining
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Author : Petros Xanthopoulos
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-28
Robust Data Mining written by Petros Xanthopoulos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-28 with Mathematics categories.
Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient to error and noise. This work encapsulates all the latest applications of robust optimization in data mining. This brief contains an overview of the rapidly growing field of robust data mining research field and presents the most well known machine learning algorithms, their robust counterpart formulations and algorithms for attacking these problems. This brief will appeal to theoreticians and data miners working in this field.