7 results
Search Results
2. Intelligent Control and Smart Energy Management : Renewable Resources and Transportation
- Author
-
Maude Josée Blondin, João Pedro Fernandes Trovão, Hicham Chaoui, Panos M. Pardalos, Maude Josée Blondin, João Pedro Fernandes Trovão, Hicham Chaoui, and Panos M. Pardalos
- Subjects
- System theory, Control theory, Operations research, Management science, Artificial intelligence, Mathematical analysis
- Abstract
This volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy management. Techniques, combined with technological advances, have enabled the deployment of new operating systems in many engineering applications, especially in the domain of transport and renewable resources. The control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating. As a result, these techniques, also referred to as autonomous control and energy management, will become practically ubiquitous soon. The discussions include methods, based on neural control (and others) as well as distributed and intelligent optimization. While the theoretical concepts are detailed and explained, the techniques presented are tailored to transport and renewable resources applications, such as smart grids and automated vehicles. The reader will grasp the most important theoretical concepts as well as to fathom the challenges and needs related to timely practical applications. Additional content includes research perspectives and future direction as well as insight into the devising of techniques that will meet tomorrow's scientific needs. This contributed volume is for researchers, graduate students, engineers and practitioners in the domains of control, energy, and transportation.
- Published
- 2022
3. Modeling Change and Uncertainty : Machine Learning and Other Techniques
- Author
-
William P. Fox, Robert E. Burks, William P. Fox, and Robert E. Burks
- Subjects
- Mathematical models, Mathematical analysis
- Abstract
This book offers a problem-solving approach. The authors introduce a problem to help motivate the learning of a particular mathematical modeling topic. The problem provides the issue or what is needed to solve using an appropriate modeling technique.
- Published
- 2022
4. Mathematical Analysis and Optimization for Economists
- Author
-
Michael J. Panik and Michael J. Panik
- Subjects
- Economics, Mathematical, Mathematical analysis, Mathematical optimization
- Abstract
In Mathematical Analysis and Optimization for Economists, the author aims to introduce students of economics to the power and versatility of traditional as well as contemporary methodologies in mathematics and optimization theory; and, illustrates how these techniques can be applied in solving microeconomic problems.This book combines the areas of intermediate to advanced mathematics, optimization, and microeconomic decision making, and is suitable for advanced undergraduates and first-year graduate students. This text is highly readable, with all concepts fully defined, and contains numerous detailed example problems in both mathematics and microeconomic applications. Each section contains some standard, as well as more thoughtful and challenging, exercises. Solutions can be downloaded from the CRC Press website. All solutions are detailed and complete.Features Contains a whole spectrum of modern applicable mathematical techniques, many of which are not found in other books of this type. Comprehensive and contains numerous and detailed example problems in both mathematics and economic analysis. Suitable for economists and economics students with only a minimal mathematical background. Classroom-tested over the years when the author was actively teaching at the University of Hartford. Serves as a beginner text in optimization for applied mathematics students. Accompanied by several electronic chapters on linear algebra and matrix theory, nonsmooth optimization, economic efficiency, and distance functions available for free on www.routledge.com/9780367759018.
- Published
- 2021
5. Variational Analysis and Set Optimization : Developments and Applications in Decision Making
- Author
-
Akhtar A. Khan, Elisabeth Köbis, Christiane Tammer, Akhtar A. Khan, Elisabeth Köbis, and Christiane Tammer
- Subjects
- Mathematical optimization, Calculus of variations, Mathematical analysis, Variational inequalities (Mathematics)
- Abstract
This book contains the latest advances in variational analysis and set / vector optimization, including uncertain optimization, optimal control and bilevel optimization. Recent developments concerning scalarization techniques, necessary and sufficient optimality conditions and duality statements are given. New numerical methods for efficiently solving set optimization problems are provided. Moreover, applications in economics, finance and risk theory are discussed.SummaryThe objective of this book is to present advances in different areas of variational analysis and set optimization, especially uncertain optimization, optimal control and bilevel optimization. Uncertain optimization problems will be approached from both a stochastic as well as a robust point of view. This leads to different interpretations of the solutions, which widens the choices for a decision-maker given his preferences. Recent developments regarding linear and nonlinear scalarization techniques with solid and nonsolid ordering cones for solving set optimization problems are discussed in this book. These results are useful for deriving optimality conditions for set and vector optimization problems. Consequently, necessary and sufficient optimality conditions are presented within this book, both in terms of scalarization as well as generalized derivatives. Moreover, an overview of existing duality statements and new duality assertions is given. The book also addresses the field of variable domination structures in vector and set optimization. Including variable ordering cones is especially important in applications such as medical image registration with uncertainties.This book covers a wide range of applications of set optimization. These range from finance, investment, insurance, control theory, economics to risk theory. As uncertain multi-objective optimization, especially robust approaches, lead to set optimization, one main focus of this book is uncertain optimization. Important recent developments concerning numerical methods for solving set optimization problems sufficiently fast are main features of this book. These are illustrated by various examples as well as easy-to-follow-steps in order to facilitate the decision process for users. Simple techniques aimed at practitioners working in the fields of mathematical programming, finance and portfolio selection are presented. These will help in the decision-making process, as well as give an overview of nondominated solutions to choose from.
- Published
- 2019
6. The GLOBAL Optimization Algorithm : Newly Updated with Java Implementation and Parallelization
- Author
-
Balázs Bánhelyi, Tibor Csendes, Balázs Lévai, László Pál, Dániel Zombori, Balázs Bánhelyi, Tibor Csendes, Balázs Lévai, László Pál, and Dániel Zombori
- Subjects
- Mathematical optimization, Calculus of variations, Computer science—Mathematics, Operations research, Management science, Mathematical analysis
- Abstract
This book explores the updated version of the GLOBAL algorithm which contains improvements for a local search algorithm and new Java implementations. Efficiency comparisons to earlier versions and on the increased speed achieved by the parallelization, are detailed. Examples are provided for students as well as researchers and practitioners in optimization, operations research, and mathematics to compose their own scripts with ease. A GLOBAL manual is presented in the appendix to assist new users with modules and test functions. GLOBAL is a successful stochastic multistart global optimization algorithm that has passed several computational tests, and is efficient and reliable for small to medium dimensional global optimization problems. The algorithm uses clustering to ensure efficiency and is modular in regard to the two local search methods it starts with, but it can also easily apply other local techniques. The strength of this algorithm lies in its reliability and adaptive algorithm parameters. The GLOBAL algorithm is free to download also in the earlier Fortran, C, and MATLAB implementations.
- Published
- 2018
7. Analysis, Modelling, Optimization, and Numerical Techniques : ICAMI, San Andres Island, Colombia, November 2013
- Author
-
Gerard Olivar Tost, Olga Vasilieva, Gerard Olivar Tost, and Olga Vasilieva
- Subjects
- Mathematical models, Operations research, Mathematical analysis, Mathematics
- Abstract
This book highlights recent compelling research results and trends in various aspects of contemporary mathematics, emphasizing applicabilitions to real-world situations. The chapters present exciting new findings and developments in situations where mathematical rigor is combined with common sense. A multi-disciplinary approach, both within each chapter and in the volume as a whole, leads to practical insights that may result in a more synthetic understanding of specific global issues as well as their possible solutions. The volume will be of interest not only to experts in mathematics, but also to graduate students, scientists, and practitioners from other fields including physics, biology, geology, management, and medicine.
- Published
- 2015
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.