Mathematical Modeling And Optimization

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Mathematical Modeling and Optimization

Author : Tony Hürlimann
Publisher : Springer Science & Business Media
Page : 323 pages
File Size : 55,9 Mb
Release : 2013-03-14
Category : Mathematics
ISBN : 9781475757934

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Mathematical Modeling and Optimization by Tony Hürlimann Pdf

Computer-based mathematical modeling - the technique of representing and managing models in machine-readable form - is still in its infancy despite the many powerful mathematical software packages already available which can solve astonishingly complex and large models. On the one hand, using mathematical and logical notation, we can formulate models which cannot be solved by any computer in reasonable time - or which cannot even be solved by any method. On the other hand, we can solve certain classes of much larger models than we can practically handle and manipulate without heavy programming. This is especially true in operations research where it is common to solve models with many thousands of variables. Even today, there are no general modeling tools that accompany the whole modeling process from start to finish, that is to say, from model creation to report writing. This book proposes a framework for computer-based modeling. More precisely, it puts forward a modeling language as a kernel representation for mathematical models. It presents a general specification for modeling tools. The book does not expose any solution methods or algorithms which may be useful in solving models, neither is it a treatise on how to build them. No help is intended here for the modeler by giving practical modeling exercises, although several models will be presented in order to illustrate the framework. Nevertheless, a short introduction to the modeling process is given in order to expound the necessary background for the proposed modeling framework.

Advances in Mathematical Modeling, Optimization and Optimal Control

Author : Jean-Baptiste Hiriart-Urruty,Adam Korytowski,Helmut Maurer,Maciej Szymkat
Publisher : Springer
Page : 205 pages
File Size : 50,5 Mb
Release : 2016-05-19
Category : Mathematics
ISBN : 9783319307855

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Advances in Mathematical Modeling, Optimization and Optimal Control by Jean-Baptiste Hiriart-Urruty,Adam Korytowski,Helmut Maurer,Maciej Szymkat Pdf

This book contains extended, in-depth presentations of the plenary talks from the 16th French-German-Polish Conference on Optimization, held in Kraków, Poland in 2013. Each chapter in this book exhibits a comprehensive look at new theoretical and/or application-oriented results in mathematical modeling, optimization, and optimal control. Students and researchers involved in image processing, partial differential inclusions, shape optimization, or optimal control theory and its applications to medical and rehabilitation technology, will find this book valuable. The first chapter by Martin Burger provides an overview of recent developments related to Bregman distances, which is an important tool in inverse problems and image processing. The chapter by Piotr Kalita studies the operator version of a first order in time partial differential inclusion and its time discretization. In the chapter by Günter Leugering, Jan Sokołowski and Antoni Żochowski, nonsmooth shape optimization problems for variational inequalities are considered. The next chapter, by Katja Mombaur is devoted to applications of optimal control and inverse optimal control in the field of medical and rehabilitation technology, in particular in human movement analysis, therapy and improvement by means of medical devices. The final chapter, by Nikolai Osmolovskii and Helmut Maurer provides a survey on no-gap second order optimality conditions in the calculus of variations and optimal control, and a discussion of their further development.

Mathematical Modeling, Simulation and Optimization for Power Engineering and Management

Author : Simone Göttlich,Michael Herty,Anja Milde
Publisher : Springer
Page : 325 pages
File Size : 54,8 Mb
Release : 2022-02-17
Category : Technology & Engineering
ISBN : 3030627349

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Mathematical Modeling, Simulation and Optimization for Power Engineering and Management by Simone Göttlich,Michael Herty,Anja Milde Pdf

This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineering may also benefit strongly.

Mathematical Modelling and Optimization of Engineering Problems

Author : J. A. Tenreiro Machado,Necati Özdemir,Dumitru Baleanu
Publisher : Springer Nature
Page : 204 pages
File Size : 43,9 Mb
Release : 2020-02-12
Category : Mathematics
ISBN : 9783030370626

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Mathematical Modelling and Optimization of Engineering Problems by J. A. Tenreiro Machado,Necati Özdemir,Dumitru Baleanu Pdf

This book presents recent developments in modelling and optimization of engineering systems and the use of advanced mathematical methods for solving complex real-world problems. It provides recent theoretical developments and new techniques based on control, optimization theory, mathematical modeling and fractional calculus that can be used to model and understand complex behavior in natural phenomena including latest technologies such as additive manufacturing. Specific topics covered in detail include combinatorial optimization, flow and heat transfer, mathematical modelling, energy storage and management policy, artificial intelligence, optimal control, modelling and optimization of manufacturing systems.

Pyomo – Optimization Modeling in Python

Author : William E. Hart,Carl Laird,Jean-Paul Watson,David L. Woodruff
Publisher : Springer Science & Business Media
Page : 238 pages
File Size : 42,9 Mb
Release : 2012-02-15
Category : Mathematics
ISBN : 9781461432265

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Pyomo – Optimization Modeling in Python by William E. Hart,Carl Laird,Jean-Paul Watson,David L. Woodruff Pdf

This book provides a complete and comprehensive reference/guide to Pyomo (Python Optimization Modeling Objects) for both beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. The text illustrates the breadth of the modeling and analysis capabilities that are supported by the software and support of complex real-world applications. Pyomo is an open source software package for formulating and solving large-scale optimization and operations research problems. The text begins with a tutorial on simple linear and integer programming models. A detailed reference of Pyomo's modeling components is illustrated with extensive examples, including a discussion of how to load data from data sources like spreadsheets and databases. Chapters describing advanced modeling capabilities for nonlinear and stochastic optimization are also included. The Pyomo software provides familiar modeling features within Python, a powerful dynamic programming language that has a very clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions. The software supports a different modeling approach than commercial AML (Algebraic Modeling Languages) tools, and is designed for flexibility, extensibility, portability, and maintainability but also maintains the central ideas in modern AMLs.

Modeling Languages in Mathematical Optimization

Author : Josef Kallrath
Publisher : Springer Science & Business Media
Page : 427 pages
File Size : 48,8 Mb
Release : 2013-12-01
Category : Mathematics
ISBN : 9781461302155

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Modeling Languages in Mathematical Optimization by Josef Kallrath Pdf

This volume presents a unique combination of modeling and solving real world optimization problems. It is the only book which treats systematically the major modeling languages and systems used to solve mathematical optimization problems, and it also provides a useful overview and orientation of today's modeling languages in mathematical optimization. It demonstrates the strengths and characteristic features of such languages and provides a bridge for researchers, practitioners and students into a new world: solving real optimization problems with the most advances modeling systems.

Mathematical Models and Algorithms for Power System Optimization

Author : Mingtian Fan,Zuping Zhang,Chengmin Wang
Publisher : Academic Press
Page : 450 pages
File Size : 53,8 Mb
Release : 2019-08-23
Category : Technology & Engineering
ISBN : 9780128132319

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Mathematical Models and Algorithms for Power System Optimization by Mingtian Fan,Zuping Zhang,Chengmin Wang Pdf

Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations. Provides insights on the development of new mathematical models of power system optimization Analyzes power systems comprehensively to create novel mathematic models and algorithms for issues related to the planning operation of power systems Includes research on the optimization of power systems and related practical research projects carried out since 1981

Chemical Process Retrofitting and Revamping

Author : Gade Pandu Rangaiah
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 55,6 Mb
Release : 2016-01-29
Category : Technology & Engineering
ISBN : 9781119016304

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Chemical Process Retrofitting and Revamping by Gade Pandu Rangaiah Pdf

The proposed book will be divided into three parts. The chapters in Part I provide an overview of certain aspect of process retrofitting. The focus of Part II is on computational techniques for solving process retrofit problems. Finally, Part III addresses retrofit applications from diverse process industries. Some chapters in the book are contributed by practitioners whereas others are from academia. Hence, the book includes both new developments from research and also practical considerations. Many chapters include examples with realistic data. All these feature make the book useful to industrial engineers, researchers and students.

Optimization and Mathematical Modeling in Computer Architecture

Author : Karu Sankaralingam,Michael Ferris,Tony Nowatzki
Publisher : Springer Nature
Page : 144 pages
File Size : 51,7 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031017735

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Optimization and Mathematical Modeling in Computer Architecture by Karu Sankaralingam,Michael Ferris,Tony Nowatzki Pdf

In this book we give an overview of modeling techniques used to describe computer systems to mathematical optimization tools. We give a brief introduction to various classes of mathematical optimization frameworks with special focus on mixed integer linear programming which provides a good balance between solver time and expressiveness. We present four detailed case studies -- instruction set customization, data center resource management, spatial architecture scheduling, and resource allocation in tiled architectures -- showing how MILP can be used and quantifying by how much it outperforms traditional design exploration techniques. This book should help a skilled systems designer to learn techniques for using MILP in their problems, and the skilled optimization expert to understand the types of computer systems problems that MILP can be applied to.

Mathematical Modeling Approaches for Optimization of Chemical Processes

Author : Gabriela Corsano
Publisher : Unknown
Page : 0 pages
File Size : 53,7 Mb
Release : 2009
Category : Chemical processes
ISBN : 1604569425

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Mathematical Modeling Approaches for Optimization of Chemical Processes by Gabriela Corsano Pdf

Mathematical modelling is a powerful tool for solving optimisation problems in chemical engineering. In this work several models are proposed aimed at helping to make decisions about different aspects of the processes lifecycle, from the synthesis and design steps up to the operation and scheduling. Using an example of the Sugar Cane industry, several models are formulated and solved in order to assess the trade-offs involved in optimisation decisions. Thus, the power and versatility of mathematical modelling in the area of chemical processes optimisation is analysed and evaluated.

Mathematical Modeling

Author : Mark M. Meerschaert
Publisher : Elsevier
Page : 360 pages
File Size : 42,7 Mb
Release : 2007-06-18
Category : Mathematics
ISBN : 0123708575

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Mathematical Modeling by Mark M. Meerschaert Pdf

Mathematical Modeling, Third Edition is a general introduction to an increasingly crucial topic for today's mathematicians. Unlike textbooks focused on one kind of mathematical model, this book covers the broad spectrum of modeling problems, from optimization to dynamical systems to stochastic processes. Mathematical modeling is the link between mathematics and the rest of the world. Meerschaert shows how to refine a question, phrasing it in precise mathematical terms. Then he encourages students to reverse the process, translating the mathematical solution back into a comprehensible, useful answer to the original question. This textbook mirrors the process professionals must follow in solving complex problems. Each chapter in this book is followed by a set of challenging exercises. These exercises require significant effort on the part of the student, as well as a certain amount of creativity. Meerschaert did not invent the problems in this book--they are real problems, not designed to illustrate the use of any particular mathematical technique. Meerschaert's emphasis on principles and general techniques offers students the mathematical background they need to model problems in a wide range of disciplines. Increased support for instructors, including MATLAB material New sections on time series analysis and diffusion models Additional problems with international focus such as whale and dolphin populations, plus updated optimization problems

Geometric Modelling, Numerical Simulation, and Optimization:

Author : Geir Hasle,Knut-Andreas Lie,Ewald Quak
Publisher : Springer Science & Business Media
Page : 559 pages
File Size : 44,8 Mb
Release : 2007-06-10
Category : Mathematics
ISBN : 9783540687832

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Geometric Modelling, Numerical Simulation, and Optimization: by Geir Hasle,Knut-Andreas Lie,Ewald Quak Pdf

This edited volume addresses the importance of mathematics for industry and society by presenting highlights from contract research at the Department of Applied Mathematics at SINTEF, the largest independent research organization in Scandinavia. Examples range from computer-aided geometric design, via general purpose computing on graphics cards, to reservoir simulation for enhanced oil recovery. Contributions are written in a tutorial style.

Mathematical Modeling in Economics, Ecology and the Environment

Author : N.V. Hritonenko,Yuri P. Yatsenko
Publisher : Springer Science & Business Media
Page : 225 pages
File Size : 51,6 Mb
Release : 2013-04-17
Category : Mathematics
ISBN : 9781441997333

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Mathematical Modeling in Economics, Ecology and the Environment by N.V. Hritonenko,Yuri P. Yatsenko Pdf

The problems of interrelation between human economics and natural environment include scientific, technical, economic, demographic, social, political and other aspects that are studied by scientists of many specialities. One of the important aspects in scientific study of environmental and ecological problems is the development of mathematical and computer tools for rational management of economics and environment. This book introduces a wide range of mathematical models in economics, ecology and environmental sciences to a general mathematical audience with no in-depth experience in this specific area. Areas covered are: controlled economic growth and technological development, world dynamics, environmental impact, resource extraction, air and water pollution propagation, ecological population dynamics and exploitation. A variety of known models are considered, from classical ones (Cobb Douglass production function, Leontief input-output analysis, Solow models of economic dynamics, Verhulst-Pearl and Lotka-Volterra models of population dynamics, and others) to the models of world dynamics and the models of water contamination propagation used after Chemobyl nuclear catastrophe. Special attention is given to modelling of hierarchical regional economic-ecological interaction and technological change in the context of environmental impact. Xlll XIV Construction of Mathematical Models ...

Modelling in Mathematical Programming

Author : José Manuel García Sánchez
Publisher : Springer Nature
Page : 291 pages
File Size : 54,6 Mb
Release : 2020-10-31
Category : Business & Economics
ISBN : 9783030572501

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Modelling in Mathematical Programming by José Manuel García Sánchez Pdf

This book provides basic tools for learning how to model in mathematical programming, from models without much complexity to complex system models. It presents a unique methodology for the building of an integral mathematical model, as well as new techniques that help build under own criteria. It allows readers to structure models from the elements and variables to the constraints, a basic modelling guide for any system with a new scheme of variables, a classification of constraints and also a set of rules to model specifications stated as logical propositions, helping to better understand models already existing in the literature. It also presents the modelling of all possible objectives that may arise in optimization problems regarding the variables values. The book is structured to guide the reader in an orderly manner, learning of the components that the methodology establishes in an optimization problem. The system includes the elements, which are all the actors that participate in the system, decision activities that occur in the system, calculations based on the decision activities, specifications such as regulations, impositions or actions of defined value and objective criterion, which guides the resolution of the system.

Mathematical Modelling, Optimization and Their Applications

Author : P. C. Jha,M. N. Hoda
Publisher : Unknown
Page : 0 pages
File Size : 48,7 Mb
Release : 2011
Category : Computer systems
ISBN : 8184870671

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Mathematical Modelling, Optimization and Their Applications by P. C. Jha,M. N. Hoda Pdf

Modelling and optimization are the key tools for scientific analysis of real life systems. The application of modelling and optimization for the study of business and the market system provide advantages over the competitors.