An important scienti?c innovation rarely makes its way by gradually winning over and converting its opponents. . . What does happen is that its opponents die out and that the growing generation is familiarised with the idea from the beginning. (Max Planck, 1936) Humans have always attempted to in?uence their environment. Indeed, it seems likely that the understanding of aspects of this environment, and its control, whether by trial-and-error or by actual study and analysis, are crucial to the ve...
The 2009 World Forecasts of Corrective or Protective Spectacles and Goggles Export Supplies
by Philip M. Parker
This book concentrates on providing technical tools to make the user of Multiple Criteria Decision Making (MCDM) methodologies independent of bulky optimization computations. These bulky computations have been a necessary, but limiting, characteristic of interactive MCDM methodologies and algorithms. The book removes these limitations of MCDM problems by reducing a problem's computational complexity. The result is a wider and more functional general framework for presenting, teaching, implementi...
This volume represents the sum of the author's research in the local parametric optimization of finite-dimensional cases. It presents a complete formulation of the main perturbation theory problems for finite-dimensional optimization, as well as new mathematical methods to analyze these problems. Using a unified approach, the author has developed a general perturbation theory for finite-dimensional extremum problems. Within the framework of this theory, methods for studying perturbed problems in...
An Annotated Timeline of Operations Research: An Informal History
by Arjang A. Assad, Dr Saul I Gass, and I Gass Saul
Cyber–physical Systems: Theory, Methodology and Applications (IEEE Press)
by Pedro H. J. Nardelli
CYBER-PHYSICAL SYSTEMS Provides a unique general theory of cyber-physical systems, focusing on how physical, data, and decision processes are articulated as a complex whole Cyber-physical systems (CPS) operate in complex environments systems with integrated physical and computational capabilities. With the ability to interact with humans through variety of modalities, cyber-physical systems are applied across areas such as Internet of Things (IoT)-enabled devices, smart grids, autonomous auto...
Optimal Control Problems for Partial Differential Equations on Reticulated Domains (Systems & Control: Foundations & Applications)
by Peter I Kogut and G Nter R Leugering
In the development of optimal control, the complexity of the systems to which it is applied has increased significantly, becoming an issue in scientific computing. In order to carry out model-reduction on these systems, the authors of this work have developed a method based on asymptotic analysis. Moving from abstract explanations to examples and applications with a focus on structural network problems, they aim at combining techniques of homogenization and approximation.Optimal Control Problems...
Studies on Graphs and Discrete Programming. North-Holland Mathematics Studies, Volume 59
This volume offers edited papers presented at the IUTAM-Symposium Topological design optimization of structures, machines and materials - status and perspectives, October 2005. The papers cover the application of topological design optimization to fluid-solid interaction problems, acoustics problems, and to problems in biomechanics, as well as to other multiphysics problems. Also in focus are new basic modelling paradigms, covering new geometry modelling such as level-set methods and topological...
User's Manual for Linear, Integer, & Quadratic Programming with Lindo
by Linus E. Schrage
Short-Memory Linear Processes and Econometric Applications
by Kairat Mynbaev
Optimization of Discrete Time Systems (Advanced Series in Agricultural Sciences, #51)
by Zbigniew Nahorski
Interactive Fuzzy Optimization (Basic and Clinical Aspects of Neuroscience, #368)
Stochastic Programming (Wiley Interscience Series in Systems & Optimization)
by Peter Kall and S.W. Wallace
Stochastic programming methods are increasingly used to help solve optimization problems in many areas of scientific research, business and industry. This text provides an up-to-date and accessible guide to stochastic programming concepts and methods. Emphasis is placed on the appropriate use of these techniques rather than the mathematical proofs and theories underlying the methods.
Network Flows and Monotropic Optimization (Pure & Applied Mathematics S.)
by R.T. Rockafellar
Describes optimization problem in which duality is an important computational tool, including network and linear programming. Introduces monotropic programming, a new form of mathematical programming developed by the author.
Optimization in Economics and Finance (Dynamic Modeling & Econometrics in Economics & Finance, #7)
by Bruce D. Craven and Sardar M. N. Islam
Some recent developments in the mathematics of optimization, including the concepts of invexity and quasimax, have not yet been applied to models of economic growth, and to finance and investment. Their applications to these areas are shown in this book.
Ever since the discovery of the five platonic solids in ancient times, the study of symmetry and regularity has been one of the most fascinating aspects of mathematics. Quite often the arithmetical regularity properties of an object imply its uniqueness and the existence of many symmetries. This interplay between regularity and symmetry properties of graphs is the theme of this book. Starting from very elementary regularity properties, the concept of a distance-regular graph arises naturally as...
Differential Evolution (Natural Computing)
by Kenneth Price, Rainer M. Storn, and Jouni A. Lampinen
Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables.The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a...
Data Mining in Agriculture (Springer Optimization and Its Applications, #34)
by Antonio Mucherino, Petraq J Papajorgji, and Panos M. Pardalos
Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB (R).
This book serves as an introduction to queuing theory and provides a thorough treatment of tools like Markov processes, renewal theory, random walks, Levy processes, matrix-analytic methods and change of measure. It also treats in detail basic structures like GI/G/1 and GI/G/s queues, Markov-modulated models and queuing networks, and gives an introduction to areas such as storage, inventory, and insurance risk. Exercises are included and a survey of mathematical prerequisites is given in an appe...