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Hardening Azure Applications: Techniques and Principles for Building Large-Scale, Mission-Critical Applications
Hardening Azure Applications: Techniques and Principles for Building Large-Scale, Mission-Critical Applications

Build large-scale, mission-critical hardened applications on the Azure cloud platform. This 2nd edition provides information on the newer features in Azure, such as Linux extensions and supporting Azure Services such as HDInsight and SQL Server on Linux. Updated with new applications Hardening Azure Applications also discusses...

Introduction to Evolutionary Algorithms (Decision Engineering)
Introduction to Evolutionary Algorithms (Decision Engineering)
Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms....
Mathematical Statistics with Resampling and R
Mathematical Statistics with Resampling and R
This book bridges the latest software applications with the benefits of modern resampling techniques

Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques...

Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences.  Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical...
Programming with Data: A Guide to the S Language (Lecture Notes in Economics and)
Programming with Data: A Guide to the S Language (Lecture Notes in Economics and)
Here is a thorough and authoritative guide to the latest version of the S language and its programming environment. Programming With Data describes a new and greatly extended version of S, written by the chief designer of the language itself. It is a guide to the complete programming process, starting from simple, interactive use, and continuing...
Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)
Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs  in Statistics, Biostatistics, Engineering, Economics,...

Introduction to Statistics Through Resampling Methods and R
Introduction to Statistics Through Resampling Methods and R
A highly accessible alternative approach to basic statistics Praise for the First Edition:  "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."?Technometrics 

Written in a
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Complex Networks and Their Applications VIII: Volume 1 Proceedings of the Eighth International Conference on Complex Networks and Their Applications ... 2019 (Studies in Computational Intelligence)
Complex Networks and Their Applications VIII: Volume 1 Proceedings of the Eighth International Conference on Complex Networks and Their Applications ... 2019 (Studies in Computational Intelligence)

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their...

Global Financial Centers, Economic Power, and (In)Efficiency
Global Financial Centers, Economic Power, and (In)Efficiency

This book scrutinizes global financial flows and stocks, both financial assets and liabilities and their impact on the global balance of economic power, especially as they affect the largest and fastest-growing countries in both the developed and the developing world. It shows how financial flows can promote economic growth and...

Future-proofing?Valuing Adaptability, Flexibility, Convertibility and Options: A Cross-Disciplinary Approach (Management in the Built Environment)
Future-proofing?Valuing Adaptability, Flexibility, Convertibility and Options: A Cross-Disciplinary Approach (Management in the Built Environment)
This book presents a unifying approach to the valuation of incorporated flexibility. Flexibility, in general terms, recognizes future uncertainty and refers to being proactive now so as to secure the future possibility of being able to adapt, convert, or generally introduce a change, if it is worthwhile to do so at the time. That is,...
Housing Policy in Australia: A Case for System Reform
Housing Policy in Australia: A Case for System Reform
This book, the first comprehensive overview of housing policy in Australia in 25 years, investigates the many dimensions of housing affordability and government actions that affect affordability outcomes. It analyses the causes and implications of declining home ownership, rising rates of rental stress and the neglect of...
Convex Optimization with Computational Errors (Springer Optimization and Its Applications)
Convex Optimization with Computational Errors (Springer Optimization and Its Applications)
The book is devoted to the study of approximate solutions of optimization problems in the presence of computational errors. It contains a number of results on the convergence behavior of algorithms in a Hilbert space, which are known as important tools for solving optimization problems. The research presented in the book is the continuation...
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