Practical Mathematical Optimization

Practical Mathematical Optimization

This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form.

Author: Jan A Snyman

Publisher: Springer

ISBN: 9783319775869

Category: Mathematics

Page: 372

View: 610

This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.
Categories: Mathematics

Introduction to the Theory of Nonlinear Optimization

Introduction to the Theory of Nonlinear Optimization

J.A. Snyman, Practical mathematical optimization - an introduction to basic optimization theory and classical and new gradient-based algorithms (Springer, 2005). P. Spellucci, Numerische Verfahren der nichtlinearen Optimierung ...

Author: Johannes Jahn

Publisher: Springer Nature

ISBN: 9783030427603

Category: Business & Economics

Page: 323

View: 598

This book serves as an introductory text to optimization theory in normed spaces and covers all areas of nonlinear optimization. It presents fundamentals with particular emphasis on the application to problems in the calculus of variations, approximation and optimal control theory. The reader is expected to have a basic knowledge of linear functional analysis.
Categories: Business & Economics

Emerging Perspectives on Translanguaging in Multilingual University Classrooms

Emerging Perspectives on Translanguaging in Multilingual University Classrooms

Language Council of Europe Language Policy Division GD IV. Snyman, J.A. & Wilke, D.N. 2018. Practical mathematical optimizationBasic optimization theory and gradient-based algorithms. Springer optimization and its applications, Vol.

Author: Vimbai Mbirimi-Hungwe

Publisher: Cambridge Scholars Publishing

ISBN: 9781527559646

Category: Language Arts & Disciplines

Page: 180

View: 580

This collection highlights research conducted by academics from the fields of science and English language studies. The contributions gathered here bring out the importance of using a translanguaging approach to teaching subject content. The volume responds to the generally agreed custom among academics that translanguaging should only be used by language teachers and lecturers. The practical descriptions of how translanguaging has been, and can be, used in science and maths classrooms show that translanguaging pedagogy should not be a tool to be used by language lecturers only. The volume shows that there are emerging perspectives with regards to teaching maths and science where translingual pedagogy can be used as a vehicle towards assisting students to understand difficult academic concepts.
Categories: Language Arts & Disciplines

Riemannian Optimization and Its Applications

Riemannian Optimization and Its Applications

American Mathematical Soc, pp 113–135 Snyman JA (2005) Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms. Springer, Heidelberg Steinlechner M (2016) ...

Author: Hiroyuki Sato

Publisher: Springer Nature

ISBN: 9783030623913

Category: Technology & Engineering

Page: 129

View: 898

This brief describes the basics of Riemannian optimization—optimization on Riemannian manifolds—introduces algorithms for Riemannian optimization problems, discusses the theoretical properties of these algorithms, and suggests possible applications of Riemannian optimization to problems in other fields. To provide the reader with a smooth introduction to Riemannian optimization, brief reviews of mathematical optimization in Euclidean spaces and Riemannian geometry are included. Riemannian optimization is then introduced by merging these concepts. In particular, the Euclidean and Riemannian conjugate gradient methods are discussed in detail. A brief review of recent developments in Riemannian optimization is also provided. Riemannian optimization methods are applicable to many problems in various fields. This brief discusses some important applications including the eigenvalue and singular value decompositions in numerical linear algebra, optimal model reduction in control engineering, and canonical correlation analysis in statistics.
Categories: Technology & Engineering

Foundations of Computational Intelligence Volume 3

Foundations of Computational Intelligence Volume 3

Global Optimization Ajith Abraham, Aboul-Ella Hassanien, Patrick Siarry, Andries Engelbrecht. computing systems. The chapter ... Basic Optimization Theory and Classical and New Gradient-Based Algorithms. Springer Publishing, Heidelberg ...

Author: Ajith Abraham

Publisher: Springer Science & Business Media

ISBN: 9783642010842

Category: Computers

Page: 528

View: 969

Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear, stochastic and combinatorial programming, multiobjective programming, control, games, geometry, approximation, algorithms for parallel architectures and so on. Due to its wide usage and applications, it has gained the attention of researchers and practitioners from a plethora of scientific domains. Typical practical examples of global optimization applications include: Traveling salesman problem and electrical circuit design (minimize the path length); safety engineering (building and mechanical structures); mathematical problems (Kepler conjecture); Protein structure prediction (minimize the energy function) etc. Global Optimization algorithms may be categorized into several types: Deterministic (example: branch and bound methods), Stochastic optimization (example: simulated annealing). Heuristics and meta-heuristics (example: evolutionary algorithms) etc. Recently there has been a growing interest in combining global and local search strategies to solve more complicated optimization problems. This edited volume comprises 17 chapters, including several overview Chapters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of global optimization. Besides research articles and expository papers on theory and algorithms of global optimization, papers on numerical experiments and on real world applications were also encouraged. The book is divided into 2 main parts.
Categories: Computers

Optimization Theory and Practice

Optimization   Theory and Practice

This book gives a modern and well-balanced presentation of the subject, focusing on theory but also including algorithims and examples from various real-world applications.

Author: Wilhelm Forst

Publisher: Springer Science & Business Media

ISBN: 9780387789774

Category: Mathematics

Page: 402

View: 838

Optimization is a field important in its own right but is also integral to numerous applied sciences, including operations research, management science, economics, finance and all branches of mathematics-oriented engineering. Constrained optimization models are one of the most widely used mathematical models in operations research and management science. This book gives a modern and well-balanced presentation of the subject, focusing on theory but also including algorithims and examples from various real-world applications. Detailed examples and counter-examples are provided--as are exercises, solutions and helpful hints, and Matlab/Maple supplements.
Categories: Mathematics

Manufacturing in Digital Industries

Manufacturing in Digital Industries

Distributed evolutionary algorithms and their models: A survey of the state-of-the-art. ... D. N. Practical mathematical optimization: Basic optimization theory and gradient-based algorithms 2018, Springer International Publishing, ...

Author: J. Paulo Davim

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 9783110575262

Category: Technology & Engineering

Page: 125

View: 995

Digital Industry can provide the framework for examining the challenges of future production technology. This book describes some of the various aspects that can, and may, influence future manufacturing. Computational intelligence techniques, cyber-physical systems, virtual and cloud-based manufacturing and man-machine interaction are studied and some of the most recent research completed by international experts in industry and academia is considered. Case studies provide practical solutions.
Categories: Technology & Engineering

Model Based Signal Enhancement for Impulse Response Measurement

Model Based Signal Enhancement for Impulse Response Measurement

Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms. Springer. Strang, G. 1988. Linear Algebra and Its Applications. Harcourth Brace Jovanovich; 3 edition.

Author: Xun Wang

Publisher: Logos Verlag Berlin GmbH

ISBN: 9783832536305

Category: Computers

Page: 143

View: 902

Impulse response measurements that are performed outdoors are highly susceptible to the uncertainties caused by the non-perfect measurement setup, the presence of background noise, and fluctuations in media such as wind and temperature drift. This work concentrates on two scenarios: the measurement of reflection coefficients of noise barriers and the influence of temperature variances in machinery cavities. Regarding the sound barrier measurement outdoors, a linear four-microphone array can be used to separate direct sound and reflected sound if the sound barrier does not include complicated scattering structures. With regard to the impulse response of an air-borne sound measurement for a machine monitoring system, a time-warping model for inter-period and intra-period temperature variances is investigated.
Categories: Computers

Computational Intelligence in Optimization

Computational Intelligence in Optimization

Computer Methods in Applied Mechanics and Engineering 19(1), 99–106 (1979) Snyman, J.A.: Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms. Springer ...

Author: Yoel Tenne

Publisher: Springer Science & Business Media

ISBN: 9783642127755

Category: Technology & Engineering

Page: 412

View: 567

This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.
Categories: Technology & Engineering

Introduction To Evolutionary Informatics

Introduction To Evolutionary Informatics

Jan A. Snyman, Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms (Springer Publishing, 2005). Gunter Dueck, “New optimization heuristics: the great deluge ...

Author: Marks Ii Robert J

Publisher: World Scientific

ISBN: 9789813142169

Category: Computers

Page: 332

View: 628

Science has made great strides in modeling space, time, mass and energy. Yet little attention has been paid to the precise representation of the information ubiquitous in nature. Introduction to Evolutionary Informatics fuses results from complexity modeling and information theory that allow both meaning and design difficulty in nature to be measured in bits. Built on the foundation of a series of peer-reviewed papers published by the authors, the book is written at a level easily understandable to readers with knowledge of rudimentary high school math. Those seeking a quick first read or those not interested in mathematical detail can skip marked sections in the monograph and still experience the impact of this new and exciting model of nature's information. This book is written for enthusiasts in science, engineering and mathematics interested in understanding the essential role of information in closely examined evolution theory.
Categories: Computers