Listing 1 - 10 of 94 | << page >> |
Sort by
|
Choose an application
Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis
Choose an application
In a self-contained presentation, this book builds upon the standard mathematical background imparted in an undergraduate engineering program. It develops the often-encountered abstruse concepts by proceeding from concrete examples to abstract results. Based on the author's classroom experience, the author feels this approach will make it easier for readers to understand the subject efficiently. Practice-based and application-oriented, the book includes a number of chemical engineering optimal control problems in the examples and chapter problems that help readers practice the learned concepts--
Chemical process control. --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Process control
Choose an application
Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis
Choose an application
Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis
Choose an application
The second edition of this 5-volume handbook is intended to be a basic yet comprehensive reference work in combinatorial optimization that will benefit newcomers and researchers for years to come. This multi-volume work deals with several algorithmic approaches for discrete problems as well as with many combinatorial problems. The editors have brought together almost every aspect of this enormous field of combinatorial optimization, an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communications networks, and management science. An international team of 30-40 experts in the field form the editorial board. The Handbook of Combinatorial Optimization, second edition is addressed to all scientists who use combinatorial optimization methods to model and solve problems. Experts in the field as well as non-specialists will find the material stimulating and useful.
Combinatorial optimization --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Optimization, Combinatorial --- Mathematics. --- Mathematical optimization. --- Combinatorics. --- Optimization. --- Combinatorics --- Algebra --- Mathematical analysis --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Maxima and minima --- Operations research --- Simulation methods --- System analysis
Choose an application
This volume describes the principles and history behind the use of Krylov subspace methods in science and engineering. The outcome of the analysis is very practical and indicates what can and cannot be expected from the use of Krylov subspace methods challenging some common assumptions and justifications of standard approaches.
Sparse matrices. --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Spare matrix techniques --- Matrices --- Sparse matrices
Choose an application
System analysis --- Mathematical optimization --- System theory --- Mathematical models --- Research --- Systems, Theory of --- Systems science --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Network theory --- Systems analysis --- Science --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- Philosophy --- Network analysis --- Network science
Choose an application
Mathematical optimization --- Structural optimization --- Mathematical optimization. --- Structural optimization. --- linear programming --- gradient descent --- optimal control --- optimization --- process optimization --- Optimal structural design --- Optimization, Structural --- Optimization of structural systems --- Optimum design of structures --- Optimum structural design --- Optimum structures --- Structures, Optimum design of --- Structural design --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis
Choose an application
Nonconvex Optimal Control and Variational Problems is an important contribution to the existing literature in the field and is devoted to the presentation of progress made in the last 15 years of research in the area of optimal control and the calculus of variations. This volume contains a number of results concerning well-posedness of optimal control and variational problems, nonoccurrence of the Lavrentiev phenomenon for optimal control and variational problems, and turnpike properties of approximate solutions of variational problems. Chapter 1 contains an introduction as well as examples of select topics. Chapters 2-5 consider the well-posedness condition using fine tools of general topology and porosity. Chapters 6-8 are devoted to the nonoccurrence of the Lavrentiev phenomenon and contain original results. Chapter 9 focuses on infinite-dimensional linear control problems, and Chapter 10 deals with “good” functions and explores new understandings on the questions of optimality and variational problems. Finally, Chapters 11-12 are centered around the turnpike property, a particular area of expertise for the author. This volume is intended for mathematicians, engineers, and scientists interested in the calculus of variations, optimal control, optimization, and applied functional analysis, as well as both undergraduate and graduate students specializing in those areas. The text devoted to Turnpike properties may be of particular interest to the economics community. Also by Alexander J. Zaslavski: Optimization on Metric and Normed Spaces, © 2010; Structure of Solutions of Variational Problems, © 2013; Turnpike Properties in the Calculus of Variations and Optimal Control, © 2006.
Mathematical optimization --- Variational inequalities (Mathematics) --- Mathematics --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Calculus --- Operations Research --- Calculus of variations. --- Inequalities, Variational (Mathematics) --- Isoperimetrical problems --- Variations, Calculus of --- Mathematics. --- Mathematical optimization. --- Calculus of Variations and Optimal Control; Optimization. --- Optimization. --- Maxima and minima --- Calculus of variations --- Differential inequalities --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Operations research --- Simulation methods --- System analysis
Choose an application
mathematics --- statistics --- optimization --- computer --- information sciences --- engineering --- Statistics --- Mathematical optimization --- Information science --- Mathematical optimization. --- Statistics. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Communication --- Information literacy --- Library science --- Data processing --- Data processing. --- Mathematical Statistics
Listing 1 - 10 of 94 | << page >> |
Sort by
|