Optimal Resource Allocation

Optimal Resource Allocation PDF Author: Igor A. Ushakov
Publisher: John Wiley & Sons
ISBN: 1118400704
Category : Mathematics
Languages : en
Pages : 165

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Book Description
A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION Optimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases of life cycles of technical systems. Bridging the gap between reliability engineering and applied mathematics, the book outlines different approaches to optimal resource allocation and various applications of models and algorithms for solving real-world problems. In addition, the fundamental background on optimization theory and various illustrative numerical examples are provided. The book also features: An overview of various approaches to optimal resource allocation, from classical Lagrange methods to modern algorithms based on ideas of evolution in biology Numerous exercises and case studies from a variety of areas, including communications, transportation, energy transmission, and counterterrorism protection The applied methods of optimization with various methods of optimal redundancy problem solutions as well as the numerical examples and statistical methods needed to solve the problems Practical thoughts, opinions, and judgments on real-world applications of reliability theory and solves practical problems using mathematical models and algorithms Optimal Resource Allocation is a must-have guide for electrical, mechanical, and reliability engineers dealing with engineering design and optimal reliability problems. In addition, the book is excellent for graduate and PhD-level courses in reliability theory and optimization.

Optimal Resource Allocation

Optimal Resource Allocation PDF Author: Igor A. Ushakov
Publisher: John Wiley & Sons
ISBN: 1118400704
Category : Mathematics
Languages : en
Pages : 165

Get Book Here

Book Description
A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION Optimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases of life cycles of technical systems. Bridging the gap between reliability engineering and applied mathematics, the book outlines different approaches to optimal resource allocation and various applications of models and algorithms for solving real-world problems. In addition, the fundamental background on optimization theory and various illustrative numerical examples are provided. The book also features: An overview of various approaches to optimal resource allocation, from classical Lagrange methods to modern algorithms based on ideas of evolution in biology Numerous exercises and case studies from a variety of areas, including communications, transportation, energy transmission, and counterterrorism protection The applied methods of optimization with various methods of optimal redundancy problem solutions as well as the numerical examples and statistical methods needed to solve the problems Practical thoughts, opinions, and judgments on real-world applications of reliability theory and solves practical problems using mathematical models and algorithms Optimal Resource Allocation is a must-have guide for electrical, mechanical, and reliability engineers dealing with engineering design and optimal reliability problems. In addition, the book is excellent for graduate and PhD-level courses in reliability theory and optimization.

Optimal Resource Allocation in Coordinated Multi-Cell Systems

Optimal Resource Allocation in Coordinated Multi-Cell Systems PDF Author: Emil Björnson
Publisher: Now Pub
ISBN: 9781601986382
Category : Technology & Engineering
Languages : en
Pages : 282

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Book Description
Optimal Resource Allocation in Coordinated Multi-Cell Systems provides a solid grounding and understanding for optimization of practical multi-cell systems and will be of interest to all researchers and engineers working on the practical design of such systems.

Real-Time Optimization

Real-Time Optimization PDF Author: Dominique Bonvin
Publisher: MDPI
ISBN: 303842448X
Category : Electronic book
Languages : en
Pages : 255

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Book Description
This book is a printed edition of the Special Issue "Real-Time Optimization" that was published in Processes

Optimal Resource Allocation in Activity Networks

Optimal Resource Allocation in Activity Networks PDF Author: Prabhakar Mahadeo Ghare
Publisher:
ISBN:
Category :
Languages : en
Pages : 168

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Book Description


Optimal Resource Allocation in Coordinated Multi-cell Systems

Optimal Resource Allocation in Coordinated Multi-cell Systems PDF Author: Emil Björnson
Publisher:
ISBN: 9781601986399
Category : Antennas (Electronics)
Languages : en
Pages : 269

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Book Description
The use of multiple antennas at base stations is a key component in the design of cellular communication systems that can meet high-capacity demands in the downlink. Under ideal conditions, the gain of employing multiple antennas is well-recognized : the data throughput increases linearly with the number of transmit antennas if the spatial dimension is utilized to serve many users in parallel. The practical performance of multi-cell systems is, however, limited by a variety of nonidealities, such as insufficient channel knowledge, high computational complexity, heterogeneous user conditions, limited backhaul capacity, transceiver impairments, and the constrained level of coordination between base stations.

Optimal Resource Allocation in a Fixed Project Duration

Optimal Resource Allocation in a Fixed Project Duration PDF Author: Sami A. Beidoun
Publisher:
ISBN:
Category : Project management
Languages : en
Pages : 164

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Book Description


Optimal Resource Allocation Over Time

Optimal Resource Allocation Over Time PDF Author: Mohamed A. El-Hodiri
Publisher:
ISBN:
Category : Production control
Languages : en
Pages :

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Book Description


Optimal and Near-optimal Resource Allocation Using Branch and Bound Methods

Optimal and Near-optimal Resource Allocation Using Branch and Bound Methods PDF Author: William Ira Kannawin
Publisher:
ISBN:
Category : Branch and bound algorithms
Languages : en
Pages : 606

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Book Description


Optimal resource allocation vs competitive resource allocation in a mono-center urban form

Optimal resource allocation vs competitive resource allocation in a mono-center urban form PDF Author: ייתזהכ ארון
Publisher:
ISBN:
Category :
Languages : iw
Pages : 183

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Book Description


Machine Learning for Future Wireless Communications

Machine Learning for Future Wireless Communications PDF Author: Fa-Long Luo
Publisher: John Wiley & Sons
ISBN: 1119562252
Category : Technology & Engineering
Languages : en
Pages : 490

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Book Description
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.