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Data Analysis And Optimization


Data Analysis And Optimization
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Statistical Analysis And Optimization For Vlsi Timing And Power


Statistical Analysis And Optimization For Vlsi Timing And Power
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Author : Ashish Srivastava
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-04

Statistical Analysis And Optimization For Vlsi Timing And Power written by Ashish Srivastava 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 2006-04-04 with Technology & Engineering categories.


Statistical Analysis and Optimization For VLSI: Timing and Power is a state-of-the-art book on the newly emerging field of statistical computer-aided design (CAD) tools. The very latest research in statistical timing and power analysis techniques is included, along with efforts to incorporate parametric yield as the key objective function during the design process. Included is the necessary mathematical background on techniques which find widespread use in current analysis and optimization. The emphasis is on algorithms, modeling approaches for process variability, and statistical techniques that are the cornerstone of the probabilistic CAD movement. The authors also describe recent optimization approaches to timing yield and contrast them to deterministic optimization. The work will enable new researchers in this area to come up to speed quickly, as well as provide a handy reference for those already working in CAD tool development.



Data Analysis Optimization And Simulation Modeling


Data Analysis Optimization And Simulation Modeling
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Author : S. Christian Albright
language : en
Publisher:
Release Date : 2011

Data Analysis Optimization And Simulation Modeling written by S. Christian Albright and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Decision making categories.


DATA ANALYSIS, OPTIMIZATION, AND SIMULATION MODELING, 4e, International Edition is a teach-by-example approach, learner-friendly writing style, and complete Excel integration focusing on data analysis, modeling, and spreadsheet use in statistics and management science. The Premium Online Content Website (accessed by a unique code with every new book) includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, allowing users to do sensitivity analysis. All of the add-ins is revised for Excel 2007 and notes about Excel 2010 are added where applicable.



Big Data Optimization Recent Developments And Challenges


Big Data Optimization Recent Developments And Challenges
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Author : Ali Emrouznejad
language : en
Publisher: Springer
Release Date : 2016-06-07

Big Data Optimization Recent Developments And Challenges written by Ali Emrouznejad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-07 with Technology & Engineering categories.


The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.



Open Problems In Optimization And Data Analysis


Open Problems In Optimization And Data Analysis
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Author : Panos M. Pardalos
language : en
Publisher: Springer
Release Date : 2018-12-04

Open Problems In Optimization And Data Analysis written by Panos M. Pardalos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-04 with Mathematics categories.


Computational and theoretical open problems in optimization, computational geometry, data science, logistics, statistics, supply chain modeling, and data analysis are examined in this book. Each contribution provides the fundamentals needed to fully comprehend the impact of individual problems. Current theoretical, algorithmic, and practical methods used to circumvent each problem are provided to stimulate a new effort towards innovative and efficient solutions. Aimed towards graduate students and researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, this book provides a broad comprehensive approach to understanding the significance of specific challenging or open problems within each discipline. The contributions contained in this book are based on lectures focused on “Challenges and Open Problems in Optimization and Data Science” presented at the Deucalion Summer Institute for Advanced Studies in Optimization, Mathematics, and Data Science in August 2016.



Experiments


Experiments
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Author : C. F. Jeff Wu
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20

Experiments written by C. F. Jeff Wu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-20 with Mathematics categories.


Praise for the First Edition: "If you . . . want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library." —Journal of the American Statistical Association Fully updated to reflect the major progress in the use of statistically designed experiments for product and process improvement, Experiments, Second Edition introduces some of the newest discoveries—and sheds further light on existing ones—on the design and analysis of experiments and their applications in system optimization, robustness, and treatment comparison. Maintaining the same easy-to-follow style as the previous edition while also including modern updates, this book continues to present a new and integrated system of experimental design and analysis that can be applied across various fields of research including engineering, medicine, and the physical sciences. The authors modernize accepted methodologies while refining many cutting-edge topics including robust parameter design, reliability improvement, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays. Along with a new chapter that focuses on regression analysis, the Second Edition features expanded and new coverage of additional topics, including: Expected mean squares and sample size determination One-way and two-way ANOVA with random effects Split-plot designs ANOVA treatment of factorial effects Response surface modeling for related factors Drawing on examples from their combined years of working with industrial clients, the authors present many cutting-edge topics in a single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, along with additional supplemental material. Chapter summaries provide a succinct outline of discussed methods, and extensive appendices direct readers to resources for further study. Experiments, Second Edition is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians.



Finite Algorithms In Optimization And Data Analysis


Finite Algorithms In Optimization And Data Analysis
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Author : M. R. Osborne
language : en
Publisher:
Release Date : 1985-12-23

Finite Algorithms In Optimization And Data Analysis written by M. R. Osborne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-12-23 with Mathematics categories.


The significance and originality of this book derive from its novel approach to those optimization problems in which an active set strategy leads to a finite algorithm, such as linear and quadratic programming or l1 and l approximations.



Multivariate Data Analysis On Matrix Manifolds


Multivariate Data Analysis On Matrix Manifolds
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Author : Nickolay Trendafilov
language : en
Publisher: Springer Nature
Release Date : 2021-09-15

Multivariate Data Analysis On Matrix Manifolds written by Nickolay Trendafilov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-15 with Mathematics categories.


This graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA). Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free) optimization software Manopt. The book includes numerous in-text examples as well as Manopt codes and software guides, which can be applied directly or used as templates for solving similar and new problems. The first two chapters provide an overview and essential background for studying MDA, giving basic information and notations. Next, it considers several sets of matrices routinely used in MDA as parameter spaces, along with their basic topological properties. A brief introduction to matrix (Riemannian) manifolds and optimization methods on them with Manopt complete the MDA prerequisite. The remaining chapters study individual MDA techniques in depth. The number of exercises complement the main text with additional information and occasionally involve open and/or challenging research questions. Suitable fields include computational statistics, data analysis, data mining and data science, as well as theoretical computer science, machine learning and optimization. It is assumed that the readers have some familiarity with MDA and some experience with matrix analysis, computing, and optimization.



Enterprise Analytics


Enterprise Analytics
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Author : Thomas H. Davenport
language : en
Publisher: Pearson Education
Release Date : 2013

Enterprise Analytics written by Thomas H. Davenport and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Business & Economics categories.


"International Institute for Analytics"--Dust jacket.



Advances In Multidisciplinary Analysis And Optimization


Advances In Multidisciplinary Analysis And Optimization
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Author : Raviprakash R. Salagame
language : en
Publisher: Springer Nature
Release Date : 2020-08-10

Advances In Multidisciplinary Analysis And Optimization written by Raviprakash R. Salagame and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-10 with Technology & Engineering categories.


This volume contains select papers presented during the 2nd National Conference on Multidisciplinary Analysis and Optimization. It discusses new developments at the core of optimization methods and its application in multiple applications. The papers showcase fundamental problems and applications which include domains such as aerospace, automotive and industrial sectors. The variety of topics and diversity of insights presented in the general field of optimization and its use in design for different applications will be of interest to researchers in academia or industry.