Dynamic Optimization

Addresses the topical, crucial and original subject of parameter identification and optimization within multiscale modeling methods. This book presents an area of research that enables the design of m

Based on TD-LTE (Time Division-Long Term Evolution), this book adopts the modular teaching mode and applies the eNodeB equipment of Datang Mobile TD-LTE. Through the specific tasks in each module, it presents such contents as base station products, equipment installation, wireless technology, network testing, network planning and optimization, etc. in a comprehensive and detailed way. This book is divided into four training modules, namely, TD-LTE Equipment Cognition, TD-LTE Key Technologies, Network Test, Network Planning and Optimization. After learning the four training modules, learners can master the basic contents involved in the operation and maintenance of the mobile communications system, such as the hardware structure, maintenance and testing of the base station equipment, network planning and optimization. This book aims to cultivate high-quality skilled personnel who master the testing and optimization skills of base station and meet the requirements of standardized field m

This book explains the main ideas behind MemComputing, its theoretical foundations and its applicability to a wide variety of combinatorial optimization problems, machine learning, and quantum mechani

A forward-thinking manifesto from three Stanford professorsexperts who have worked at ground zero of the tech revolution for decadeswhich reveals how big techs obsession with optimization and efficien

Presents the various approaches for static and dynamic analysis of piles and pile groups in one place and in a unified manner and provides a clear picture of these methods for different applications.

Competitive Agents in Certain and Uncertain Markets uses concepts from optimization theory to develop an integrated analytic framework for treating consumer, producer, and market equilibrium analysis

We discuss whole-child development, learning, and thriving through a dynamic systems theory lens that focuses on the United States and includes an analysis of historical challenges in the American public education system, including inequitable resources, opportunities, and outcomes. To transform US education systems, developmental and learning scientists, educators, policymakers, parents, and communities must apply the knowledge they have today to 1. challenge the assumptions and goals that drove the design of the current US education system, 2. articulate a revised, comprehensive definition of whole-child development, learning, and thriving that accepts rather than simplifies how human beings develop, 3. create a profound paradigm shift in how the purpose of education is described in the context of social, cultural, and political forces, including the impacts of race, privilege, and bias and 4. describe a new dynamic 'language' for measurement of both the academic competencies and the

This practical book presents the modeling of dynamic biological engineering processes in a readily comprehensible manner, using the unique combination of simplified fundamental theory and direct hands

Applied Managing for Entrepreneurship focuses also on the optimization of diversified and internationalized companies. It discusses the reasons for companies to diversify their activities and the vari

The advanced text covers dynamical systems, single variable and multi-variable optimization, linear algebra, advanced model fitting techniques, game theory, and multi-attribute decision processes.

This title begins with the basic principles of electromagnetics and builds up to intricate optical filter designs, numerical optimization techniques, and production methods. It includes worked and pra

This title begins with the basic principles of electromagnetics and builds up to intricate optical filter designs, numerical optimization techniques, and production methods. It includes worked and pra

What if the ability to look, feel, and perform at peak capacity wasn’t the stuff of lore but instead was within easy reach? In a perfect world, you would be able to have it all: complete optimization

Calculus of variations has a long history. Its fundamentals were laid down by icons of mathematics like Euler and Lagrange. It was once heralded as the panacea for all engineering optimization problem

When it comes to digital innovation, much research has been done with regard to the optimization of teams, but little attention has been given to leadership structures. This book presents a comprehens

This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three sections that will provide coverage of the techniques, which can be

8 powerful ways to market your business online to consistently generate an abundance of leads that convert into profitable customers. Dynamic Digital Marketing teaches any business or individual ho

Phase-change Material based heat sinks and associated optimization remains a topic of great interest, as evident from the increasing number of citations and new applications and miniaturization. Often

Gain an in-depth understanding of converter-interfaced energy storage systems with this unique text, covering modelling, dynamic behaviour, control, and stability analysis. Providing comprehensive coverage, it demonstrates the technical and economic aspects of energy storage systems, and provides a thorough overview of energy storage technologies. Several different modelling techniques are presented, including power system models, voltage-sourced converter models, and energy storage system models. Using a novel stochastic control approach developed by the authors, you will learn about the impact of energy storage on the dynamic interaction of microgrids with distribution and transmission systems. Compare the numerous real-world simulation data and numerical examples provided with your own models and control strategies. Accompanied online by a wealth of numerical examples and supporting data, this is the ideal text for graduate students, researchers, and industry professionals working i

Over recent years, it has become clear that group-based approaches cannot directly be used to understand individual adolescent development. For that reason, interest in dynamic systems theory, or DST,

This book reviews the fundamentals of and the recent developments in life-cycle analysis and maintenance optimization for fatigue-sensitive structures. The book provides knowledge on life-cycle perfor

Strategic Planning for the Sustainable Production of Biofuels presents several optimization models for the design and planning of sustainable biorefinery supply chains, including issues surrounding th

A comprehensive study in efficient multi-rate teletraffic loss models used for designing, performance analysis, and optimization of systems and networks Efficient Multirate Teletraffic Loss Models Bey

Take a deep dive into the many uses of dynamic SQL in Microsoft SQL Server. This edition has been updated to use the newest features in SQL Server 2016 and SQL Server 2017 as well as incorporating the

Numerical minimization of an objective function is analyzed in this book to understand solution algorithms for optimization problems. Multiset-mappings are introduced to engineer numerical minimizatio

While there are many spatial/frequency domain watermarking techniques, optimization is a commonly encountered mathematical problem in data security related issues. The research on new embedding domain

Disjunctive Programming is a technique and a discipline initiated by the author in the early 1970's, which has become a central tool for solving nonconvex optimization problems like pure or mixed inte

This book covers the design and optimization of hybrid RF-baseband precoding for massive multiple-input multiple-output (MIMO)-enabled cloud radio access networks (RANs), where use cases such as milli

Ozonation and Biodegradation in Environmental Engineering: Dynamic Neural Network Approach gives a unified point-of-view on the application of DNN to estimate and control the application of ozonation

A metaheuristic is a higher-level procedure designed to select a heuristic (partial search algorithm) that may lead to a sufficiently good solution to an optimization problem, especially with incomple

This book treats dynamic stability of structures under nonconservative forces. it is not a mathematics-based, but rather a dynamics-phenomena-oriented monograph, written with a full experimental backg

This book undertakes a detailed construction of Dynamic Markov Bridges using a combination of theory and real-world applications to drive home important concepts and methodologies. In Part I, theory i

A hands-on guide to writing a Message Passing Interface, this book takes the reader on a tour across major MPI implementations, best optimization techniques, application relevant usage hints, and a hi

This book focuses on the suitable methods to solve optimization problems in wireless network system utilizing digital sensors like Wireless Sensor Network. This kind of system has been emerging as the

This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The a

In today’s business environment, as organizations constantly seek to growth and develop through the optimization of their innovative and creative potential, understanding the critical issues and

This book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems. Many of these problems can be modeled as nonlinear o

This detailed volume explores advances in vector design, DNA delivery, cell cultivation, host cell engineering, and bioprocess optimization within the study of recombinant protein expression in mammal

This book presents the latest developments and breakthroughs in fuzzy theory and performance prediction of queuing and reliability models by using the stochastic modeling and optimization theory. The

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary a