Experiments (Wiley Probability and Statistics, #247) (Wiley Series in Probability and Statistics, #552)
by C. F. Jeff Wu and Michael Hamada
Experimental design is one of the most important subjects in statistics. Used in experimental investigations, statistically designed experiments are also a key tool for improving quality in industry and manufacturing. This practical book modernizes experimentation to develop a new system of design and analysis to define the area for years to come. The title's inclusion of modern, never--seen--before topics is compelling and the book will make an excellent complement to Wiley's best--selling Stat...
Stochastic Processes, Finance and Control (Advances in Statistics, Probablity and Actuarial Science)
Advanced Optimization Techniques and Examples with MATLAB
by Clapton E
60 Worksheets - Identifying Smallest Number of 5 Digits (60 Days Math Smallest Numbers, #4)
by Kapoo Stem
60 Worksheets - Identifying Smallest Number of 9 Digits (60 Days Math Smallest Numbers, #8)
by Kapoo Stem
Advances in Combinatorial Optimization
by Moustapha Diaby and Mark H Karwan
Spanning Tree Results For Graphs And Multigraphs: A Matrix-theoretic Approach
by John T Saccoman, Daniel J Gross, and Charles L Suffel
This book is concerned with the optimization problem of maximizing the number of spanning trees of a multigraph. Since a spanning tree is a minimally connected subgraph, graphs and multigraphs having more of these are, in some sense, immune to disconnection by edge failure. We employ a matrix-theoretic approach to the calculation of the number of spanning trees.The authors envision this as a research aid that is of particular interest to graduate students or advanced undergraduate students and r...
Dynamical System Models In The Life Sciences And Their Underlying Scientific Issues
by Frederic Y M Wan
Broadly speaking, there are two general approaches to teaching mathematical modeling: 1) the case study approach, and 2) the method based approach (that teaches mathematical techniques with applications to relevant mathematical models). This text emphasizes instead the scientific issues for modeling different phenomena. For the natural or harvested growth of a fish population, we may be interested in the evolution of the population, whether it reaches a steady state (equilibrium or cycle), stab...
Mathematical Optimization and Modeling: Concepts, Theories and Applications
Mathematical Optimisation in Economics (CIME Summer Schools, v. 38)
Preface by B. de Finetti.- G.Th. Guilbaud: Les equilibres dans les modeles economiques.-H.W. Kuhn: Locational problems and mathematical programming.- M. Morishima: The multi-sectoral theory of economic growth.- B. Martos, J. Kornai: Experiments in Hungary with industry-wide and economy wide programming.- A. Prekopa: Probability distribution problems concerning stochastic programming problems.- R. Frisch: General principles and mathematical techniques of macroeconomic programming.
Partitional Clustering via Nonsmooth Optimization (Unsupervised and Semi-Supervised Learning)
by Adil M. Bagirov, Napsu Karmitsa, and Sona Taheri
This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, a...
OPTIMIZATION with MATLAB. DIRECT SEARCH ALGORITMS and SURROGATE OPTIMIZATION
by J Lopez
A modern, up-to-date introduction to optimization theory and methods This authoritative book serves as an introductory text to optimization at the senior undergraduate and beginning graduate levels. With consistently accessible and elementary treatment of all topics, An Introduction to Optimization, Second Edition helps students build a solid working knowledge of the field, including unconstrained optimization, linear programming, and constrained optimization. Supplemented with more than one hun...
This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions imposed in the theorems on Markov Decision Processes. Many of the examples are based upon examples p...
Introduction To The Fractional Calculus Of Variations
by Delfim F M Torres and Agnieszka Barbara Malinowska
This invaluable book provides a broad introduction to the fascinating and beautiful subject of Fractional Calculus of Variations (FCV). In 1996, FVC evolved in order to better describe non-conservative systems in mechanics. The inclusion of non-conservatism is extremely important from the point of view of applications. Forces that do not store energy are always present in real systems. They remove energy from the systems and, as a consequence, Noether's conservation laws cease to be valid. Howev...
Identification and Adaptive Control for Nonlinear Systems and Applications: Applied Mathematics in Control Engineering introduces nonlinear system concepts, system analysis, system control methods and applications in various fields. The major concepts in the book include comprehensive discussions on nonlinear systems stability analysis and the nonlinear systems control method, a stability analysis of complex nonlinear system with adaptive neural networks control, a description of nonlinear syste...
Optimization is the act of obtaining the "best" result under given circumstances. In design, construction, and maintenance of any engineering system, engineers must make technological and managerial decisions to minimize either the effort or cost required or to maximize benefits. There is no single method available for solving all optimization problems efficiently. Several optimization methods have been developed for different types of problems. The optimum-seeking methods are mathematical progr...
General Fractional Derivatives with Applications in Viscoelasticity
by Xiao-jun Yang, Feng Gao, and Yang Ju
General Fractional Derivatives with Applications in Viscoelasticity introduces the newly established fractional-order calculus operators involving singular and non-singular kernels with applications to fractional-order viscoelastic models from the calculus operator viewpoint. Fractional calculus and its applications have gained considerable popularity and importance because of their applicability to many seemingly diverse and widespread fields in science and engineering. Many operations in physi...