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Author: Nathan Adelgren
Publisher: Springer Nature
ISBN: 3030618218
Category : Mathematics
Languages : en
Pages : 118
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Book Description
The theory presented in this work merges many concepts from mathematical optimization and real algebraic geometry. When unknown or uncertain data in an optimization problem is replaced with parameters, one obtains a multi-parametric optimization problem whose optimal solution comes in the form of a function of the parameters.The theory and methodology presented in this work allows one to solve both Linear Programs and convex Quadratic Programs containing parameters in any location within the problem data as well as multi-objective optimization problems with any number of convex quadratic or linear objectives and linear constraints. Applications of these classes of problems are extremely widespread, ranging from business and economics to chemical and environmental engineering. Prior to this work, no solution procedure existed for these general classes of problems except for the recently proposed algorithms
Author: Nathan Adelgren
Publisher: Springer Nature
ISBN: 3030618218
Category : Mathematics
Languages : en
Pages : 118
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Book Description
The theory presented in this work merges many concepts from mathematical optimization and real algebraic geometry. When unknown or uncertain data in an optimization problem is replaced with parameters, one obtains a multi-parametric optimization problem whose optimal solution comes in the form of a function of the parameters.The theory and methodology presented in this work allows one to solve both Linear Programs and convex Quadratic Programs containing parameters in any location within the problem data as well as multi-objective optimization problems with any number of convex quadratic or linear objectives and linear constraints. Applications of these classes of problems are extremely widespread, ranging from business and economics to chemical and environmental engineering. Prior to this work, no solution procedure existed for these general classes of problems except for the recently proposed algorithms
Author: Abhijit Gosavi
Publisher: Springer
ISBN: 1489974911
Category : Business & Economics
Languages : en
Pages : 530
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Book Description
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques – especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms. Key features of this revised and improved Second Edition include: · Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms) · Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming (value and policy iteration) for discounted, average, and total reward performance metrics · An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata · A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential Equations Themed around three areas in separate sets of chapters – Static Simulation Optimization, Reinforcement Learning and Convergence Analysis – this book is written for researchers and students in the fields of engineering (industrial, systems, electrical and computer), operations research, computer science and applied mathematics.
Author: John C. Nash
Publisher: John Wiley & Sons
ISBN: 1118883969
Category : Mathematics
Languages : en
Pages : 304
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Book Description
Nonlinear Parameter Optimization Using R John C. Nash, Telfer School of Management, University of Ottawa, Canada A systematic and comprehensive treatment of optimization software using R In recent decades, optimization techniques have been streamlined by computational and artificial intelligence methods to analyze more variables, especially under non–linear, multivariable conditions, more quickly than ever before. Optimization is an important tool for decision science and for the analysis of physical systems used in engineering. Nonlinear Parameter Optimization with R explores the principal tools available in R for function minimization, optimization, and nonlinear parameter determination and features numerous examples throughout. Nonlinear Parameter Optimization with R: Provides a comprehensive treatment of optimization techniques Examines optimization problems that arise in statistics and how to solve them using R Enables researchers and practitioners to solve parameter determination problems Presents traditional methods as well as recent developments in R Is supported by an accompanying website featuring R code, examples and datasets Researchers and practitioners who have to solve parameter determination problems who are users of R but are novices in the field optimization or function minimization will benefit from this book. It will also be useful for scientists building and estimating nonlinear models in various fields such as hydrology, sports forecasting, ecology, chemical engineering, pharmaco-kinetics, agriculture, economics and statistics.
Author: Ravipudi Venkata Rao
Publisher: Springer Nature
ISBN: 981974654X
Category :
Languages : en
Pages : 584
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Book Description
Author: Bikash Sharma
Publisher: CRC Press
ISBN: 1003804721
Category : Technology & Engineering
Languages : en
Pages : 235
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Book Description
This book covers various facets of nanomaterials and their applications including low-dimensional materials along with discussions on in vitro cell imaging, bioanalyses, UV laser applications of scheelite-type nanomaterials, and nanosized cyanobridged metal-organic frameworks, including high spin transition metal ions. It explains transition metal dichalcogenides and magnetic tunnel junction devices as an alternative to complementary metal-oxide semiconductors. One of the main aims of this book is to grow interest in the atomistic simulation process and characterization of these nanoscale devices. Details the recent advances in the application of nanomaterials for nanoelectronics devices, sensors, and memories Describes the first-principles approach to ultrasensitive electrically doped biosensors Discusses the application of nanomaterials in spintronic devices, specifically magnetic tunnel junction devices with new architectures Covers nanomaterials in water purification and conducting polymer nanocomposites in electrochemical supercapacitors Presents the theoretical background of next-generation MRI contrast agents with nanosized cyanobridged metal-organic frameworks including high spin transition metal ions This book is aimed at researchers and graduate students of materials engineering and nanoelectronics.
Author: Dariusz Król
Publisher: Springer
ISBN: 3319566601
Category : Technology & Engineering
Languages : en
Pages : 542
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Book Description
This book presents recent research in intelligent information and database systems. The carefully selected contributions were initially accepted for presentation as posters at the 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2017) held from to 5 April 2017 in Kanazawa, Japan. While the contributions are of an advanced scientific level, several are accessible for non-expert readers. The book brings together 47 chapters divided into six main parts: • Part I. From Machine Learning to Data Mining.• Part II. Big Data and Collaborative Decision Support Systems,• Part III. Computer Vision Analysis, Detection, Tracking and Recognition,• Part IV. Data-Intensive Text Processing,• Part V. Innovations in Web and Internet Technologies, and• Part VI. New Methods and Applications in Information and Software Engineering. The book is an excellent resource for researchers and those working in algorithmics, artificial and computational intelligence, collaborative systems, decision management and support systems, natural language processing, image and text processing, Internet technologies, and information and software engineering, as well as for students interested in such research areas.
Author: S.S Thipse
Publisher: ALPHA SCIENCE INTERNATIONAL LIMITED
ISBN: 184265974X
Category : Technology & Engineering
Languages : en
Pages : 358
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Book Description
Advanced Thermodynamics covers Extensive coverage of thermodynamics applications; Detailed discussion on chemical thermodynamics; Explanation of combustion phenomena; Discussion on entropy; Exergy and its applications; Application of Phases and Gibbs rule; Statistical thermodynamics; Description of various distributions and partition function; Thermodynamic laws and their applications; Information on Gas Mixtures; Thermodynamic property relations.
Author: Gopal Prasad Sinha
Publisher: Allied Publishers
ISBN: 9788184242591
Category : Manufactures
Languages : en
Pages : 732
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Book Description
Contributed papers presented at the conference organized by Central Mechanical Engineering Research Institute.
Author: Yi Wang
Publisher: Springer Nature
ISBN: 9819706653
Category :
Languages : en
Pages : 774
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Book Description
Author: Sumit Bhowmik
Publisher:
ISBN: 9783030000370
Category : TECHNOLOGY & ENGINEERING
Languages : en
Pages :
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Book Description
This book covers various multiple-criteria decision making (mcdm) methods for modeling and optimization of advanced manufacturing processes (AMPs). Processes such as non-conventional machining, rapid prototyping, environmentally conscious machining and hybrid machining are finally put together in a single book. It highlights the research advances and discusses the published literature of the last 15 years in the field. Case studies of real life manufacturing situations are also discussed.
