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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...
Building DMZs for Enterprise Networks
Building DMZs for Enterprise Networks
During the course of the last few years, it has become increasingly evident that there is
a pronounced need for protection of internal networks from the outside world. As
machine technologies have improved and extensive shifts in the functions that a user
can accomplish through more user-friendly interfaces have occurred, many more
...
Particles in Turbulent Flows
Particles in Turbulent Flows
The only work available to treat the theory of turbulent flow with suspended particles, this book also includes a section on simulation methods, comparing the model results obtained with the PDF method to those obtained with other techniques, such as DNS, LES and RANS.

Written by experienced scientists with background in oil and gas
...
Web Stores Do-It-Yourself For Dummies
Web Stores Do-It-Yourself For Dummies
Are you excited about opening your Web store, but a little intimidated too? Relax! Web Stores Do-It-Yourself For Dummies is here to guide you step by step through the whole process. You’ll find the easiest and best ways to choose a provider, sign up with payment processors, and open for business in no time.

This...

Information Retrieval - SciFinder
Information Retrieval - SciFinder
SciFinder® is rapidly becoming a preferred means to access scientific information in industry and universities worldwide. It accesses databases which span the chemical, engineering, life, medical, and physical sciences, including five Chemical Abstract Service databases and the National Library of Medicine bibliographic database...
jQuery 1.4 Reference Guide
jQuery 1.4 Reference Guide

jQuery is a powerful, yet easy-to-use, JavaScript library that helps web developers and designers add dynamic, interactive elements to their sites, smoothing out browser inconsistencies and greatly reducing development time. In jQuery 1.4 Reference Guide, you can investigate this library's features in a thorough, accessible format.

This...

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
Modern day society relies on the operation of complex systems including aircraft, automobiles, electric power systems, economic entities, business organizations, banking and finance systems, computer networks, manufacturing systems, and industrial processes, Decision and control are responsible for ensuring that these systems perform...
UML 2.0 in a Nutshell
UML 2.0 in a Nutshell

System developers have used modeling languages for decades to specify, visualize, construct, and document systems. The Unified Modeling Language (UML) is one of those languages. UML makes it possible for team members to collaborate by providing a common language that applies to a multitude of different systems. Essentially,...

Practical Signcryption (Information Security and Cryptography)
Practical Signcryption (Information Security and Cryptography)

In today’s world, data must be sent around the world cheaply and securely, and that requires origin authentication, integrity protection, and confidentiality – the recipient of a message should be able to ascertain who sent the message, be sure that the message has not been changed en route, and be sure that the data arrives...

Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow

Key Features

  • Explore reinforcement learning concepts and their implementation using TensorFlow
  • Discover different problem-solving methods for reinforcement...
Popular Psychology: An Encyclopedia
Popular Psychology: An Encyclopedia

The mysteries of the human mind and human behavior have been a source of fascination and speculation throughout recorded history, and surely, for a long time before that. Attempts to explain human thoughts, emotions, and behavior, especially when they are disordered, go back just as long; and have often involved magic, evil spirits, invisible...

Challenges and Opportunities of Connected k-Covered Wireless Sensor Networks: From Sensor Deployment to Data Gathering
Challenges and Opportunities of Connected k-Covered Wireless Sensor Networks: From Sensor Deployment to Data Gathering

This book aims to develop a reader’s thorough understanding of the opportunities and challenges of k-covered wireless sensor networks, where each point in a deployment field is covered (or sensed) by at least k sensors. Following René Descartes’ most elegant methodology of dividing each difficulty into as many parts as might...

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