Optimization for Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization for Data Analysis write by Stephen J. Wright. This book was released on 2022-04-21. Optimization for Data Analysis available in PDF, EPUB and Kindle. A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.
Bayesian Optimization and Data Science
Bayesian Optimization and Data Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Optimization and Data Science write by Francesco Archetti. This book was released on 2019-10-07. Bayesian Optimization and Data Science available in PDF, EPUB and Kindle. This volume brings together the main results in the field of Bayesian Optimization (BO), focusing on the last ten years and showing how, on the basic framework, new methods have been specialized to solve emerging problems from machine learning, artificial intelligence, and system optimization. It also analyzes the software resources available for BO and a few selected application areas. Some areas for which new results are shown include constrained optimization, safe optimization, and applied mathematics, specifically BO's use in solving difficult nonlinear mixed integer problems. The book will help bring readers to a full understanding of the basic Bayesian Optimization framework and gain an appreciation of its potential for emerging application areas. It will be of particular interest to the data science, computer science, optimization, and engineering communities.
Open Problems in Optimization and Data Analysis
Open Problems in Optimization and Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Open Problems in Optimization and Data Analysis write by Panos M. Pardalos. This book was released on 2018-12-04. Open Problems in Optimization and Data Analysis available in PDF, EPUB and Kindle. 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.
Big Data Optimization: Recent Developments and Challenges
Big Data Optimization: Recent Developments and Challenges - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Optimization: Recent Developments and Challenges write by Ali Emrouznejad. This book was released on 2016-05-26. Big Data Optimization: Recent Developments and Challenges available in PDF, EPUB and Kindle. 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.
Combinatorial Data Analysis
Combinatorial Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Combinatorial Data Analysis write by Lawrence Hubert. This book was released on 2001-01-01. Combinatorial Data Analysis available in PDF, EPUB and Kindle. Combinatorial data analysis (CDA) refers to a wide class of methods for the study of relevant data sets in which the arrangement of a collection of objects is absolutely central. The focus of this monograph is on the identification of arrangements, which are then further restricted to where the combinatorial search is carried out by a recursive optimization process based on the general principles of dynamic programming (DP).
