Optimizing Optimization

Optimizing Optimization
Author: Stephen Satchell
Publsiher: Academic Press
Total Pages: 328
Release: 2009-09-19
Genre: Business & Economics
ISBN: 0080959202

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The practical aspects of optimization rarely receive global, balanced examinations. Stephen Satchell’s nuanced assembly of technical presentations about optimization packages (by their developers) and about current optimization practice and theory (by academic researchers) makes available highly practical solutions to our post-liquidity bubble environment. The commercial chapters emphasize algorithmic elements without becoming sales pitches, and the academic chapters create context and explore development opportunities. Together they offer an incisive perspective that stretches toward new products, new techniques, and new answers in quantitative finance. Presents a unique "confrontation" between software engineers and academics Highlights a global view of common optimization issues Emphasizes the research and market challenges of optimization software while avoiding sales pitches Accentuates real applications, not laboratory results

Convex Optimization

Convex Optimization
Author: Stephen Boyd,Stephen P. Boyd,Lieven Vandenberghe
Publsiher: Cambridge University Press
Total Pages: 716
Release: 2004-03-08
Genre: Business & Economics
ISBN: 0521833787

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A comprehensive introduction to the tools, techniques and applications of convex optimization.

Computational Methods for Optimizing Manufacturing Technology Models and Techniques

Computational Methods for Optimizing Manufacturing Technology  Models and Techniques
Author: Davim, J. Paulo
Publsiher: IGI Global
Total Pages: 395
Release: 2012-02-29
Genre: Technology & Engineering
ISBN: 9781466601291

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"This book contains the latest research developments in manufacturing technology and its optimization, and demonstrates the fundamentals of new computational approaches and the range of their potential application"--Provided by publisher.

Optimize

Optimize
Author: Lee Odden
Publsiher: John Wiley & Sons
Total Pages: 256
Release: 2012-04-17
Genre: Business & Economics
ISBN: 9781118167779

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Attract, engage, and inspire your customers with an "Optimize and Socialize" content marketing strategy Optimize is designed to give readers a practical approach to integrating search and social media optimization with content marketing to boost relevance, visibility, and customer engagement. Companies, large and small, will benefit from the practical planning and creative content marketing tactics in this book that have been proven to increase online performance across marketing, public relations, and customer service. Learn to incorporate essential content optimization and social media engagement principles thereby increasing their ability to acquire and engage relevant customers online. Optimize provides insights from Lee Odden, one of the leading authorities on Content and Online Marketing. This book explains how to: Create a blueprint for integrated search, social media and content marketing strategy Determine which creative tactics will provide the best results for your company Implement search and social optimization holistically in the organization Measure the business value of optimized and socialized content marketing Develop guidelines, processes and training to scale online marketing success Optimize offers a tested approach for a customer-centric and adaptive online marketing strategy that incorporates the best of content, social media marketing, and search engine optimization tactics.

Optimizing Your Capacity to Care

Optimizing Your Capacity to Care
Author: Pierce Story, MPHM
Publsiher: CRC Press
Total Pages: 232
Release: 2017-12-19
Genre: Business & Economics
ISBN: 9781466593978

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Our nation's capacity to care is becoming increasingly stressed as an aging and increasingly unhealthy population collides with a relative reduction in the numbers of clinicians and ever-tightening financial resources. If even the mildest of future-state predictions are to be believed, we need a significant restructuring of our entire healthcare system and its total Capacity to Care, such that we can simultaneously improve care capacity, cost, quality, accessibility, and resource gratification. Optimizing Your Capacity to Care: A Systems Approach to Hospital and Population Health Management provides comprehensive guidance to a new way to optimize and manage community-wide Care Capacity via a unique, holistic approach to healthcare operations. Through clear examples and actual project results, the book demonstrates the outcomes of a systems-level way of thinking about a community's Capacity to Care that incorporates and integrates the full spectrum of available clinical and communal resources into the care of patients, including hospitals, physicians, emergency departments, surgical services, local churches, civic organizations, pharmacies, and volunteers. The book details operational models for each major department of the hospital and a fully integrated communal resource pool to demonstrate how the optimization of capacity, resource utilization, cost, and clinical outcomes can be attained. And by providing healthcare leaders with a deeper understanding of key elements missing from the most common process improvement methodologies and approaches, this book offers fresh perspectives and bold alternatives for hospitals, health systems, and entire communities.

Optimizing Flood Control Allocation for a Multipurpose Reservoir

Optimizing Flood Control Allocation for a Multipurpose Reservoir
Author: Fred Kenneth Duren,Leo R. Beard
Publsiher: Unknown
Total Pages: 13
Release: 1972
Genre: Flood control
ISBN: UCR:31210024979906

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In the last decade, much research has been devoted to applying the systems analysis approach to water resources problems. A popular research goal has been determination of the 'best' method of operating a multipurpose reservoir. The goal of this study was to derive the economically optimum flood control diagram for a multipurpose reservoir by systems analysis. The technique employed to optimize the flood control diagram was programmed so that the optimization process could be applied to other multipurpose reservoirs. Two computer programs developed at the U.S. Army Corps of Engineers Hydrologic Engineering Center were utilized with modifications to simulate the operation of Folsom Reservoir in central California. Economic analyses were incorporated along with an optimization technique into the reservoir operations program; and the resultant program was capable of routing a sequence of monthly reservoir inflows, computing benefits for various flood control diagrams (as dictated by the optimization procedure) and selecting the economically optimum flood control diagram. The univariate gradient technique was the optimization procedure employed. The two computer programs are on file at The Hydrologic Engineering Center in Davis, California. (Author).

Optimizing and Measuring Smart Grid Operation and Control

Optimizing and Measuring Smart Grid Operation and Control
Author: Recioui, Abdelmadjid,Bentarzi, Hamid
Publsiher: IGI Global
Total Pages: 400
Release: 2020-11-13
Genre: Technology & Engineering
ISBN: 9781799840282

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Smart grid (SG), also called intelligent grid, is a modern improvement of the traditional power grid that will revolutionize the way electricity is produced, delivered, and consumed. Studying key concepts such as advanced metering infrastructure, distribution management systems, and energy management systems will support the design of a cost-effective, reliable, and efficient supply system, and will create a real-time bidirectional communication means and information exchange between the consumer and the grid operator of electric power. Optimizing and Measuring Smart Grid Operation and Control is a critical reference source that presents recent research on the operation, control, and optimization of smart grids. Covering topics that include phase measurement units, smart metering, and synchrophasor technologies, this book examines all aspects of modern smart grid measurement and control. It is designed for engineers, researchers, academicians, and students.

Optimizing The Organization

Optimizing The Organization
Author: Subhash Khare
Publsiher: Tata McGraw-Hill Education
Total Pages: 194
Release: 2006
Genre: Organizational change
ISBN: 0070604630

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Optimizing Engineering Problems through Heuristic Techniques

Optimizing Engineering Problems through Heuristic Techniques
Author: Kaushik Kumar,Divya Zindani,J. Paulo Davim
Publsiher: CRC Press
Total Pages: 152
Release: 2019-12-06
Genre: Computers
ISBN: 9781351049566

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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 employed by engineers, researchers, and manufacturing industries, to improve their productivity with the sole motive of socio-economic development. This will be the first book in the category of heuristic techniques with relevance to engineering problems and achieving optimal solutions. Features Explains the concept of optimization and the relevance of using heuristic techniques for optimal solutions in engineering problems Illustrates the various heuristics techniques Describes evolutionary heuristic techniques like genetic algorithm and particle swarm optimization Contains natural based techniques like ant colony optimization, bee algorithm, firefly optimization, and cuckoo search Offers sample problems and their optimization, using various heuristic techniques

The Shortcut Guide to Optimized WAN Application Delivery

The Shortcut Guide to Optimized WAN Application Delivery
Author: Ed Tittel
Publsiher: Realtimepublishers.com
Total Pages: 135
Release: 2008
Genre: Computers
ISBN: 9781931491808

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RSM A Key to Optimize Machining Multi Response Optimization of CNC Turning with Al 7020 Alloy

RSM  A Key to Optimize Machining  Multi Response Optimization of CNC Turning with Al 7020 Alloy
Author: Bikram Jit Singh
Publsiher: Anchor Academic Publishing (aap_verlag)
Total Pages: 117
Release: 2014-02-01
Genre: Technology & Engineering
ISBN: 9783954897094

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Parametric optimization, especially in machining of non-ferrous alloys seems to be quite rare and needs an immediate attention because of its associated downstream financial and non-financial losses. This book tries to fill the gap and presents an optimization problem of commonly used Al-7020 Alloy. Principles of Response Surface Methodology (RSM) have been implemented through Minitab software to bring necessary multi-response optimization, while turning on a CNC turner. The present study focuses on to enhance Material Removal Rate (MRR) while simultaneously reducing the Surface Roughness (Ra), during turning of Al-alloy. Such opposite natured response optimization is much difficult to achieve, particularly when uncoated carbide tip has been used as a cutting tool. Intensive literature survey helps to pin point parameters like; Cutting Speed, Feed Rate and Depth of Cut as a most critical to machining parameters, as far as effective and efficient optimization of selected responses are concerned. All these control-parameters are directly or inversely related to each other. If the depth of cut is increased MRR increases at the same time we get poor surface finish. Increase in the cutting speed has positive impact on both material removal rate and surface finish. Shortlisted parameters are conflicting, so we have to optimize these for further enhancement of the overall turning performance. At last, the optimized results are verified by using ANOVA as a statistical tool. This book provides quite rare Case-study of multi-response optimization (while non-ferrous CNC turning) to practioners, machinists and SME owners appropriately.

Benchmarking Measuring and Optimizing

Benchmarking  Measuring  and Optimizing
Author: Wanling Gao,Jianfeng Zhan,Geoffrey Fox,Xiaoyi Lu,Dan Stanzione
Publsiher: Springer Nature
Total Pages: 362
Release: 2020-06-09
Genre: Computers
ISBN: 9783030495565

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This book constitutes the refereed proceedings of the Second International Symposium on Benchmarking, Measuring, and Optimization, Bench 2019, held in Denver, CO, USA, in November 2019. The 20 full papers and 11 short papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections named: Best Paper Session; AI Challenges on Cambircon using AIBenc; AI Challenges on RISC-V using AIBench; AI Challenges on X86 using AIBench; AI Challenges on 3D Face Recognition using AIBench; Benchmark; AI and Edge; Big Data; Datacenter; Performance Analysis; Scientific Computing.

Optimizing Hyperparameters for Machine Learning Algorithms in Production

Optimizing Hyperparameters for Machine Learning Algorithms in Production
Author: Jonathan Krauß
Publsiher: Apprimus Wissenschaftsverlag
Total Pages: 258
Release: 2022-04-13
Genre: Technology & Engineering
ISBN: 9783985550746

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Machine learning (ML) offers the potential to train data-based models and therefore to extract knowledge from data. Due to an increase in networking and digitalization, data and consequently the application of ML are growing in production. The creation of ML models includes several tasks that need to be conducted within data integration, data preparation, modeling, and deployment. One key design decision in this context is the selection of the hyperparameters of an ML algorithm – regardless of whether this task is conducted manually by a data scientist or automatically by an AutoML system. Therefore, data scientists and AutoML systems rely on hyperparameter optimization (HPO) techniques: algorithms that automatically identify good hyperparameters for ML algorithms. The selection of the HPO technique is of great relevance, since it can improve the final performance of an ML model by up to 62 % and reduce its errors by up to 95 %, compared to computing with default values. As the selection of the HPO technique depends on different domain-specific influences, it becomes more and more popular to use decision support systems to facilitate this selection. Since no approach exists, which covers the requirements from the production domain, the main research question of this thesis was: Can a decision support system be developed that supports in the selecting of HPO techniques in the production domain?

Optimizing HPC Applications with Intel Cluster Tools

Optimizing HPC Applications with Intel Cluster Tools
Author: Alexander Supalov,Andrey Semin,Christopher Dahnken,Michael Klemm
Publsiher: Apress
Total Pages: 300
Release: 2014-10-09
Genre: Computers
ISBN: 9781430264972

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Optimizing HPC Applications with Intel® Cluster Tools takes the reader on a tour of the fast-growing area of high performance computing and the optimization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interface (MPI) and OpenMP for multi-threading to achieve the ultimate goal of high performance at low power consumption on enterprise-class workstations and compute clusters. The book focuses on optimization for clusters consisting of the Intel® Xeon processor, but the optimization methodologies also apply to the Intel® Xeon Phi™ coprocessor and heterogeneous clusters mixing both architectures. Besides the tutorial and reference content, the authors address and refute many myths and misconceptions surrounding the topic. The text is augmented and enriched by descriptions of real-life situations.

Optimizing Contemporary Application and Processes in Open Source Software

Optimizing Contemporary Application and Processes in Open Source Software
Author: Khosrow-Pour, Mehdi
Publsiher: IGI Global
Total Pages: 318
Release: 2018-02-02
Genre: Computers
ISBN: 9781522553151

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As is true of most technological fields, the software industry is constantly advancing and becoming more accessible to a wider range of people. The advancement and accessibility of these systems creates a need for understanding and research into their development. Optimizing Contemporary Application and Processes in Open Source Software is a critical scholarly resource that examines the prevalence of open source software systems as well as the advancement and development of these systems. Featuring coverage on a wide range of topics such as machine learning, empirical software engineering and management, and open source, this book is geared toward academicians, practitioners, and researchers seeking current and relevant research on the advancement and prevalence of open source software systems.