Veterans Administration Technical Bulletins
Author: United States. Veterans Administration
Publisher:
Published: 1952
Total Pages: 264
ISBN-13:
DOWNLOAD EBOOK →Author: United States. Veterans Administration
Publisher:
Published: 1952
Total Pages: 264
ISBN-13:
DOWNLOAD EBOOK →Author: Ritu Arora
Publisher: CRC Press
Published: 2023-05-12
Total Pages: 184
ISBN-13: 1000859851
DOWNLOAD EBOOK →This book discusses the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solutions for the same. Uncertainty influences the behaviour of the market to a great extent. Global pandemics and calamities are other factors which affect and augment unpredictability in the market. The intent of this book is to develop mathematical structures for different aspects of allocation problems depicting real life scenarios. The novel methods which are incorporated in practical scenarios under uncertain circumstances include the STAR heuristic approach, Matrix geometric method, Ranking function and Pythagorean fuzzy numbers, to name a few. Distinct problems which are considered in this book under uncertainty include scheduling, cyclic bottleneck assignment problem, bilevel transportation problem, multi-index transportation problem, retrial queuing, uncertain matrix games, optimal production evaluation of cotton in different soil and water conditions, the healthcare sector, intuitionistic fuzzy quadratic programming problem, and multi-objective optimization problem. This book may serve as a valuable reference for researchers working in the domain of optimization for solving combinatorial problems under uncertainty. The contributions of this book may further help to explore new avenues leading toward multidisciplinary research discussions.
Author: Stein Haugen
Publisher: CRC Press
Published: 2018-06-15
Total Pages: 4533
ISBN-13: 1351174649
DOWNLOAD EBOOK →Safety and Reliability – Safe Societies in a Changing World collects the papers presented at the 28th European Safety and Reliability Conference, ESREL 2018 in Trondheim, Norway, June 17-21, 2018. The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management - mathematical methods in reliability and safety - risk assessment - risk management - system reliability - uncertainty analysis - digitalization and big data - prognostics and system health management - occupational safety - accident and incident modeling - maintenance modeling and applications - simulation for safety and reliability analysis - dynamic risk and barrier management - organizational factors and safety culture - human factors and human reliability - resilience engineering - structural reliability - natural hazards - security - economic analysis in risk management Safety and Reliability – Safe Societies in a Changing World will be invaluable to academics and professionals working in a wide range of industrial and governmental sectors: offshore oil and gas, nuclear engineering, aeronautics and aerospace, marine transport and engineering, railways, road transport, automotive engineering, civil engineering, critical infrastructures, electrical and electronic engineering, energy production and distribution, environmental engineering, information technology and telecommunications, insurance and finance, manufacturing, marine transport, mechanical engineering, security and protection, and policy making.
Author: Peng-Jun Wan
Publisher: Springer Science & Business Media
Published: 2000-09-30
Total Pages: 444
ISBN-13: 9780792357766
DOWNLOAD EBOOK →The huge bandwidth of optical fiber was recognized back in the 1970s during the early development of fiber optics technology. For the last two decades, the capacity of experimental and deployed systems has been increasing at a rate of 100-fold each decade - a rate exceeding the increase of integrated circuit speeds. Today, optical communication in the public communication networks has developed from the status of a curiosity into being the dominant technology. Various great challenges arising from the deployment of wavelength division multiplexing (WDM) have attracted much effort from many researchers. Indeed, optical networking has been a fertile ground for both theoretical research and experimental studies. This monograph presents contributions from the author's past and ongoing research in the field of optical networking. The ideas presented focus more on graph-theoretical and algorithmic aspects of optical networks. Although this book is limited to the author's own research, there are many outstanding achievements made by other individuals which are cited throughout. Without the inspiration of their efforts, this monograph would never have been possible. Audience: Research workers and professionals from mathematics, computer science, and engineering with an interest in algorithms, graph theory, telecommunications, networking and optical devices.
Author: Debasis Giri
Publisher: Springer Nature
Published: 2020-11-25
Total Pages: 281
ISBN-13: 9811554110
DOWNLOAD EBOOK →This book features selected papers from the 5th International Conference on Mathematics and Computing (ICMC 2019), organized by the School of Computer Engineering, Kalinga Institute of Industrial Technology Bhubaneswar, India, on February 6 – 9, 2019. Covering recent advances in the field of mathematics, statistics and scientific computing, the book presents innovative work by leading academics, researchers and experts from industry.
Author: Dr. Manish Gupta
Publisher: Arihant Publications India limited
Published: 2021-11-20
Total Pages: 682
ISBN-13: 9325796341
DOWNLOAD EBOOK →Author: J. P. Sharma
Publisher: PHI Learning Pvt. Ltd.
Published: 2011
Total Pages: 471
ISBN-13: 8120342488
DOWNLOAD EBOOK →Author: Amit M Agarwal
Publisher: Arihant Publications India limited
Published:
Total Pages:
ISBN-13: 9325796139
DOWNLOAD EBOOK →Author: Nicola Barbieri
Publisher: Morgan & Claypool Publishers
Published: 2014-05-01
Total Pages: 199
ISBN-13: 1627052585
DOWNLOAD EBOOK →The importance of accurate recommender systems has been widely recognized by academia and industry, and recommendation is rapidly becoming one of the most successful applications of data mining and machine learning. Understanding and predicting the choices and preferences of users is a challenging task: real-world scenarios involve users behaving in complex situations, where prior beliefs, specific tendencies, and reciprocal influences jointly contribute to determining the preferences of users toward huge amounts of information, services, and products. Probabilistic modeling represents a robust formal mathematical framework to model these assumptions and study their effects in the recommendation process. This book starts with a brief summary of the recommendation problem and its challenges and a review of some widely used techniques Next, we introduce and discuss probabilistic approaches for modeling preference data. We focus our attention on methods based on latent factors, such as mixture models, probabilistic matrix factorization, and topic models, for explicit and implicit preference data. These methods represent a significant advance in the research and technology of recommendation. The resulting models allow us to identify complex patterns in preference data, which can be exploited to predict future purchases effectively. The extreme sparsity of preference data poses serious challenges to the modeling of user preferences, especially in the cases where few observations are available. Bayesian inference techniques elegantly address the need for regularization, and their integration with latent factor modeling helps to boost the performances of the basic techniques. We summarize the strengths and weakness of several approaches by considering two different but related evaluation perspectives, namely, rating prediction and recommendation accuracy. Furthermore, we describe how probabilistic methods based on latent factors enable the exploitation of preference patterns in novel applications beyond rating prediction or recommendation accuracy. We finally discuss the application of probabilistic techniques in two additional scenarios, characterized by the availability of side information besides preference data. In summary, the book categorizes the myriad probabilistic approaches to recommendations and provides guidelines for their adoption in real-world situations.