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: 802

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: 381

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

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: 710

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

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: 509

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

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: 531

View: 368

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

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: 889

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: 710

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

Integrated Uncertainty Management and Applications

Integrated Uncertainty Management and Applications

Fuzzy Sets and Systems 125, 105–119 (2002) 6. Snyman, J.A.: Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms. Springer, New York (2005) 7.

Author: Van-Nam Huynh

Publisher: Springer Science & Business Media

ISBN: 9783642119606

Category: Technology & Engineering

Page: 560

View: 217

Solving practical problems often requires the integration of information and knowledge from many different sources, taking into account uncertainty and impreciseness. The 2010 International Symposium on Integrated Uncertainty Management and Applications (IUM’2010), which takes place at the Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan, between 9th–11th April, is therefore conceived as a forum for the discussion and exchange of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.
Categories: Technology & Engineering

Optimization in Practice with MATLAB

Optimization in Practice with MATLAB

If so, what is the value of x and f(x) at the minimum? BIBLIOGRAPHY OF CHAPTER 2 [1] J. Snyman. Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms. Springer ...

Author: Achille Messac

Publisher: Cambridge University Press

ISBN: 9781107109186

Category: Mathematics

Page: 503

View: 829

This textbook is designed for students and industry practitioners for a first course in optimization integrating MATLAB® software.
Categories: Mathematics

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: 266

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