Algebraic Linguistics Analytical Models

Algebraic Linguistics  Analytical Models
Author: Solomon Marcus
Publsiher: Anonim
Total Pages: 254
Release: 1967
ISBN 10:
ISBN 13: UCSC:32106001517777
Language: EN, FR, DE, ES & NL

Algebraic Linguistics Analytical Models Book Review:

Computational Methods for Modeling of Nonlinear Systems

Computational Methods for Modeling of Nonlinear Systems
Author: Anatoli Torokhti,Phil Howlett,Solomon Lefschetz
Publsiher: Elsevier Science Limited
Total Pages: 322
Release: 1961
ISBN 10: 9780124370562
ISBN 13: 012437056X
Language: EN, FR, DE, ES & NL

Computational Methods for Modeling of Nonlinear Systems Book Review:

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression. - Best operator approximation, - Non-Lagrange interpolation, - Generic Karhunen-Loeve transform - Generalised low-rank matrix approximation - Optimal data compression - Optimal nonlinear filtering

Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett
Author: Anatoli Torokhti,Phil Howlett
Publsiher: Elsevier
Total Pages: 322
Release: 2007-04-11
ISBN 10: 9780080475387
ISBN 13: 0080475388
Language: EN, FR, DE, ES & NL

Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett Book Review:

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression. Best operator approximation Non-Lagrange interpolation Generic Karhunen-Loeve transform Generalised low-rank matrix approximation Optimal data compression Optimal nonlinear filtering

Nonlinear Systems Vol 1

Nonlinear Systems  Vol  1
Author: Victoriano Carmona,Jesús Cuevas-Maraver,Fernando Fernandez-Sanchez
Publsiher: Springer
Total Pages: 442
Release: 2019-10-11
ISBN 10: 9783030097813
ISBN 13: 3030097811
Language: EN, FR, DE, ES & NL

Nonlinear Systems Vol 1 Book Review:

Computational Solution of Nonlinear Systems of Equations

Computational Solution of Nonlinear Systems of Equations
Author: Eugene L. Allgower,Kurt Georg
Publsiher: American Mathematical Soc.
Total Pages: 762
Release: 1990-04-03
ISBN 10: 9780821896945
ISBN 13: 0821896946
Language: EN, FR, DE, ES & NL

Computational Solution of Nonlinear Systems of Equations Book Review:

Nonlinear equations arise in essentially every branch of modern science, engineering, and mathematics. However, in only a very few special cases is it possible to obtain useful solutions to nonlinear equations via analytical calculations. As a result, many scientists resort to computational methods. This book contains the proceedings of the Joint AMS-SIAM Summer Seminar, ``Computational Solution of Nonlinear Systems of Equations,'' held in July 1988 at Colorado State University. The aim of the book is to give a wide-ranging survey of essentially all of the methods which comprise currently active areas of research in the computational solution of systems of nonlinear equations. A number of ``entry-level'' survey papers were solicited, and a series of test problems has been collected in an appendix. Most of the articles are accessible to students who have had a course in numerical analysis.

Numerical Methods for Unconstrained Optimization and Nonlinear Equations

Numerical Methods for Unconstrained Optimization and Nonlinear Equations
Author: J. E. Dennis, Jr.,Robert B. Schnabel
Publsiher: SIAM
Total Pages: 378
Release: 1996-12-01
ISBN 10: 9781611971200
ISBN 13: 1611971209
Language: EN, FR, DE, ES & NL

Numerical Methods for Unconstrained Optimization and Nonlinear Equations Book Review:

This book has become the standard for a complete, state-of-the-art description of the methods for unconstrained optimization and systems of nonlinear equations. Originally published in 1983, it provides information needed to understand both the theory and the practice of these methods and provides pseudocode for the problems. The algorithms covered are all based on Newton's method or "quasi-Newton" methods, and the heart of the book is the material on computational methods for multidimensional unconstrained optimization and nonlinear equation problems. The republication of this book by SIAM is driven by a continuing demand for specific and sound advice on how to solve real problems. The level of presentation is consistent throughout, with a good mix of examples and theory, making it a valuable text at both the graduate and undergraduate level. It has been praised as excellent for courses with approximately the same name as the book title and would also be useful as a supplemental text for a nonlinear programming or a numerical analysis course. Many exercises are provided to illustrate and develop the ideas in the text. A large appendix provides a mechanism for class projects and a reference for readers who want the details of the algorithms. Practitioners may use this book for self-study and reference. For complete understanding, readers should have a background in calculus and linear algebra. The book does contain background material in multivariable calculus and numerical linear algebra.

Computational Techniques for Modelling Learning in Economics

Computational Techniques for Modelling Learning in Economics
Author: Thomas Brenner
Publsiher: Springer Science & Business Media
Total Pages: 391
Release: 2012-12-06
ISBN 10: 1461550297
ISBN 13: 9781461550297
Language: EN, FR, DE, ES & NL

Computational Techniques for Modelling Learning in Economics Book Review:

Computational Techniques for Modelling Learning in Economics offers a critical overview of the computational techniques that are frequently used for modelling learning in economics. It is a collection of papers, each of which focuses on a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models and cognitive learning models. Each paper describes the technique it uses, gives an example of its applications, and discusses the advantages and disadvantages of the technique. Hence, the book offers some guidance in the field of modelling learning in computation economics. In addition, the material contains state-of-the-art applications of the learning models in economic contexts such as the learning of preference, the study of bidding behaviour, the development of expectations, the analysis of economic growth, the learning in the repeated prisoner's dilemma, and the changes of cognitive models during economic transition. The work even includes innovative ways of modelling learning that are not common in the literature, for example the study of the decomposition of task or the modelling of cognitive learning.

Numerical Time Dependent Partial Differential Equations for Scientists and Engineers

Numerical Time Dependent Partial Differential Equations for Scientists and Engineers
Author: Moysey Brio,Gary M. Webb,Aramais R. Zakharian
Publsiher: Academic Press
Total Pages: 312
Release: 2010-09-21
ISBN 10: 9780080917047
ISBN 13: 0080917046
Language: EN, FR, DE, ES & NL

Numerical Time Dependent Partial Differential Equations for Scientists and Engineers Book Review:

It is the first text that in addition to standard convergence theory treats other necessary ingredients for successful numerical simulations of physical systems encountered by every practitioner. The book is aimed at users with interests ranging from application modeling to numerical analysis and scientific software development. It is strongly influenced by the authors research in in space physics, electrical and optical engineering, applied mathematics, numerical analysis and professional software development. The material is based on a year-long graduate course taught at the University of Arizona since 1989. The book covers the first two-semesters of a three semester series. The second semester is based on a semester-long project, while the third semester requirement consists of a particular methods course in specific disciplines like computational fluid dynamics, finite element method in mechanical engineering, computational physics, biology, chemistry, photonics, etc. The first three chapters focus on basic properties of partial differential equations, including analysis of the dispersion relation, symmetries, particular solutions and instabilities of the PDEs; methods of discretization and convergence theory for initial value problems. The goal is to progress from observations of simple numerical artifacts like diffusion, damping, dispersion, and anisotropies to their analysis and management technique, as it is not always possible to completely eliminate them. In the second part of the book we cover topics for which there are only sporadic theoretical results, while they are an integral part and often the most important part for successful numerical simulation. We adopt a more heuristic and practical approach using numerical methods of investigation and validation. The aim is teach students subtle key issues in order to separate physics from numerics. The following topics are addressed: Implementation of transparent and absorbing boundary conditions; Practical stability analysis in the presence of the boundaries and interfaces; Treatment of problems with different temporal/spatial scales either explicit or implicit; preservation of symmetries and additional constraints; physical regularization of singularities; resolution enhancement using adaptive mesh refinement and moving meshes. Self contained presentation of key issues in successful numerical simulation Accessible to scientists and engineers with diverse background Provides analysis of the dispersion relation, symmetries, particular solutions and instabilities of the partial differential equations

Computational Methods in Nonlinear Structural and Solid Mechanics

Computational Methods in Nonlinear Structural and Solid Mechanics
Author: Ahmed K. Noor,Harvey G. McComb
Publsiher: Elsevier
Total Pages: 470
Release: 2014-05-20
ISBN 10: 1483145646
ISBN 13: 9781483145648
Language: EN, FR, DE, ES & NL

Computational Methods in Nonlinear Structural and Solid Mechanics Book Review:

Computational Methods in Nonlinear Structural and Solid Mechanics covers the proceedings of the Symposium on Computational Methods in Nonlinear Structural and Solid Mechanics. The book covers the development of efficient discretization approaches; advanced numerical methods; improved programming techniques; and applications of these developments to nonlinear analysis of structures and solids. The chapters of the text are organized into 10 parts according to the issue they tackle. The first part deals with nonlinear mathematical theories and formulation aspects, while the second part covers computational strategies for nonlinear programs. Part 3 deals with time integration and numerical solution of nonlinear algebraic equations, while Part 4 discusses material characterization and nonlinear fracture mechanics, and Part 5 tackles nonlinear interaction problems. The sixth part discusses seismic response and nonlinear analysis of concrete structure, and the seventh part tackles nonlinear problems for nuclear reactors. Part 8 covers crash dynamics and impact problems, while Part 9 deals with nonlinear problems of fibrous composites and advanced nonlinear applications. The last part discusses computerized symbolic manipulation and nonlinear analysis software systems. The book will be of great interest to numerical analysts, computer scientists, structural engineers, and other professionals concerned with nonlinear structural and solid mechanics.

Computational Techniques for Process Simulation and Analysis Using MATLAB

Computational Techniques for Process Simulation and Analysis Using MATLAB
Author: Niket S. Kaisare
Publsiher: CRC Press
Total Pages: 538
Release: 2017-09-18
ISBN 10: 1498762123
ISBN 13: 9781498762120
Language: EN, FR, DE, ES & NL

Computational Techniques for Process Simulation and Analysis Using MATLAB Book Review:

MATLAB® has become one of the prominent languages used in research and industry and often described as "the language of technical computing". The focus of this book will be to highlight the use of MATLAB® in technical computing; or more specifically, in solving problems in Process Simulations. This book aims to bring a practical approach to expounding theories: both numerical aspects of stability and convergence, as well as linear and nonlinear analysis of systems. The book is divided into three parts which are laid out with a "Process Analysis" viewpoint. First part covers system dynamics followed by solution of linear and nonlinear equations, including Differential Algebraic Equations (DAE) while the last part covers function approximation and optimization. Intended to be an advanced level textbook for numerical methods, simulation and analysis of process systems and computational programming lab, it covers following key points • Comprehensive coverage of numerical analyses based on MATLAB for chemical process examples. • Includes analysis of transient behavior of chemical processes. • Discusses coding hygiene, process animation and GUI exclusively. • Treatment of process dynamics, linear stability, nonlinear analysis and function approximation through contemporary examples. • Focus on simulation using MATLAB to solve ODEs and PDEs that are frequently encountered in process systems.

Numerical Methods for Nonlinear Partial Differential Equations

Numerical Methods for Nonlinear Partial Differential Equations
Author: Sören Bartels
Publsiher: Springer
Total Pages: 393
Release: 2015-01-19
ISBN 10: 3319137972
ISBN 13: 9783319137971
Language: EN, FR, DE, ES & NL

Numerical Methods for Nonlinear Partial Differential Equations Book Review:

The description of many interesting phenomena in science and engineering leads to infinite-dimensional minimization or evolution problems that define nonlinear partial differential equations. While the development and analysis of numerical methods for linear partial differential equations is nearly complete, only few results are available in the case of nonlinear equations. This monograph devises numerical methods for nonlinear model problems arising in the mathematical description of phase transitions, large bending problems, image processing, and inelastic material behavior. For each of these problems the underlying mathematical model is discussed, the essential analytical properties are explained, and the proposed numerical method is rigorously analyzed. The practicality of the algorithms is illustrated by means of short implementations.

Computational Methods in Systems Biology

Computational Methods in Systems Biology
Author: Corrado Priami,INTERNATIONAL WORKSHOP ON COMPUTATIONAL METHODS IN,International Workshop on Computational Methods in Systems Biology 200
Publsiher: Springer Science & Business Media
Total Pages: 214
Release: 2003-02-07
ISBN 10: 3540006052
ISBN 13: 9783540006053
Language: EN, FR, DE, ES & NL

Computational Methods in Systems Biology Book Review:

Rovereto,December2002 CorradoPriami ProgrammeCommitteeofCMSB 2003 CorradoPriami(Chair),UniversityofTrento(Italy), CharlesAu?ray,CNRS,Villejuif(France), CosimaBaldari,Universit`adiSiena(Italy), AlexanderBockmayr,Universit ́eHenriPoincar ́e(France), LucaCardelli,MicrosoftResearchCambridge(UK), VincentDanos,Universit ́eParisVII(France), PierpaoloDegano,Universitad ` iPisa(Italy), Francois ̧ Fages,INRIA,Rocquencourt(France), DrabløsFinn,NorwegianUniversityofScienceandTechnology,Trondheim(N- way), MonikaHeiner,BrandenburgUniversityofTechnologyatCottbus(Germany), InaKoch,UniversityofAppliedSciencesBerlin,(Germany), JohnE.

Nonlinear Analysis Problems Applications and Computational Methods

Nonlinear Analysis  Problems  Applications and Computational Methods
Author: Zakia Hammouch,Hemen Dutta,Said Melliani,Michael Ruzhansky
Publsiher: Springer Nature
Total Pages: 249
Release: 2020-11-13
ISBN 10: 3030622991
ISBN 13: 9783030622992
Language: EN, FR, DE, ES & NL

Nonlinear Analysis Problems Applications and Computational Methods Book Review:

This book is a collection of original research papers as proceedings of the 6th International Congress of the Moroccan Society of Applied Mathematics organized by Sultan Moulay Slimane University, Morocco, during 7th–9th November 2019. It focuses on new problems, applications and computational methods in the field of nonlinear analysis. It includes various topics including fractional differential systems of various types, time-fractional systems, nonlinear Jerk equations, reproducing kernel Hilbert space method, thrombin receptor activation mechanism model, labour force evolution model, nonsmooth vector optimization problems, anisotropic elliptic nonlinear problem, viscous primitive equations of geophysics, quadratic optimal control problem, multi-orthogonal projections and generalized continued fractions. The conference aimed at fostering cooperation among students, researchers and experts from diverse areas of applied mathematics and related sciences through fruitful deliberations on new research findings. This book is expected to be resourceful for researchers, educators and graduate students interested in applied mathematics and interactions of mathematics with other branches of science and engineering.

Computational Methods in Systems Biology

Computational Methods in Systems Biology
Author: Monika Heiner
Publsiher: Springer Science & Business Media
Total Pages: 401
Release: 2008-10-07
ISBN 10: 3540885617
ISBN 13: 9783540885610
Language: EN, FR, DE, ES & NL

Computational Methods in Systems Biology Book Review:

This volume contains the proceedings of the 6th Conference on Computational Methods in Systems Biology (CMSB) held in October 2008 in Rostock/ Warnemunde. ] The CMSB conference series was established in 2003 to promote the c- vergence of (1) modelers, physicists, mathematicians, and theoretical computer scientists from ?elds such as language design, concurrency theory, software ve- ?cation, and (2) molecular biologists, physicians, neuroscientists joined by their interest in a systems-level understanding of cellular physiology and pathology. Sincethistime, theconferencehastakenplaceannually. Theconferencehasbeen held in Italy, France, and the UK, and we were glad to host CMSB in Germany for the ?rst time. The summaries of the invited talks by Hidde de Jong, Jane Hillston, Koichi Takahashi, Nicolas Le Novere, and Dieter Oesterhelt are included at the - ginning of the proceedings. The 21 regular papers cover theoretical or applied contributions that are motivated by a biological question focusing on modeling approaches, including process algebra, simulation approaches, analysis methods, in particular model checking and ?ux analysis, and case studies. They were - lected out of more than 60 submissions by a careful reviewing process. Each paper received at least three reviews from members of the Program Committee consistingof27renownedscientistsfromsevencountries. We wouldliketothank all members of the Program Committee and the referees for the thorough and insightful reviews and the constructive discussions. Due to the number of hi- quality submissions, the decision on which papers to accept or reject was not easy. Therefore, we integrated a rebuttal phase for the ?rst tim

Advances in the Efficiency of Computational Methods and Applications

Advances in the Efficiency of Computational Methods and Applications
Author: Ioannis K. Argyros
Publsiher: World Scientific
Total Pages: 546
Release: 2000
ISBN 10: 9789810243364
ISBN 13: 9810243367
Language: EN, FR, DE, ES & NL

Advances in the Efficiency of Computational Methods and Applications Book Review:

This invaluable textbook creates a general framework for the study of optimal iterative procedures for problems that are solved approximately. Emphasis is given to the efficiency of numerical methods. For generality the setting is abstract, but the book presents many applications to practical problems, allowing the reader to take advantage of the most modern high speed calculating devices, and provides examples to illustrate concepts and major theorems. The examples are selected from astrophysics (radiative transfer and the kinetic theory of gases), mechanics (elasticity), economics (predator -- prey problems), the n-dimensional Euclidean space and other applied areas. The book will benefit not only senior undergraduates, graduates, graduate students and researchers in the field but also those who wish to obtain information about specific results or techniques that take into account the particular nature of the equation.

MATHEMATICAL METHODS IN CHEMICAL ENGINEERING

MATHEMATICAL METHODS IN CHEMICAL ENGINEERING
Author: S. PUSHPAVANAM
Publsiher: PHI Learning Pvt. Ltd.
Total Pages: 336
Release: 1998-01-01
ISBN 10: 9788120312623
ISBN 13: 8120312627
Language: EN, FR, DE, ES & NL

MATHEMATICAL METHODS IN CHEMICAL ENGINEERING Book Review:

This comprehensive, well organized and easy to read book presents concepts in a unified framework to establish a similarity in the methods of solutions and analysis of such diverse systems as algebraic equations, ordinary differential equations and partial differential equations. The distin-guishing feature of the book is the clear focus on analytical methods of solving equations. The text explains how the methods meant to elucidate linear problems can be extended to analyse nonlinear problems. The book also discusses in detail modern concepts like bifurcation theory and chaos.To attract engineering students to applied mathematics, the author explains the concepts in a clear, concise and straightforward manner, with the help of examples and analysis. The significance of analytical methods and concepts for the engineer/scientist interested in numerical applications is clearly brought out.Intended as a textbook for the postgraduate students in engineering, the book could also be of great help to the research students.

Computational Methods in Engineering Science

Computational Methods in Engineering   Science
Author: Zhenhan Yao,Mingwu Yuan
Publsiher: Springer Science & Business Media
Total Pages: 339
Release: 2007-12-31
ISBN 10: 3540482601
ISBN 13: 9783540482604
Language: EN, FR, DE, ES & NL

Computational Methods in Engineering Science Book Review:

Here are the printed proceedings of EPMESC X, held on August 21-23, 2006 in Sanya, Hainan Island of China. It includes 14 full papers of plenary and semi-plenary lectures and approximately 166 one-page summaries. The accompanying CD-ROM includes all 180 full papers presented at the conference.

Structural Dynamic Systems Computational Techniques and Optimization

Structural Dynamic Systems Computational Techniques and Optimization
Author: Cornelius T. Leondes
Publsiher: CRC Press
Total Pages: 324
Release: 1999-05-11
ISBN 10: 9789056996581
ISBN 13: 9056996584
Language: EN, FR, DE, ES & NL

Structural Dynamic Systems Computational Techniques and Optimization Book Review:

There are various techniques to optimize either structural parameters, or structural controllers, but there are not many techniques that can simultaneously optimize the structural parameters and controller. The advantage of integrating the structural and controller optimization problems is that structure and controller interaction is taken into account in the design process and a more efficient overall design (lower control force/lighter weight) can be achieved, and also multidisciplinary design optimization can be performed. The down side is that the combined optimization problem is more difficult to formulate and solve, and computations are increased. This volume is a comprehensive treatment of dynamic analysis and control techniques in structural dynamic systems and the wide variety of issues and techniques that fall within this broad area, including the interactions between structural control systems and structural system parameters.

Computational Methods for the Study of Dynamic Economies

Computational Methods for the Study of Dynamic Economies
Author: Ramon Marimon,Andrew Scott
Publsiher: OUP Oxford
Total Pages: 292
Release: 1999-03-04
ISBN 10: 0191522392
ISBN 13: 9780191522390
Language: EN, FR, DE, ES & NL

Computational Methods for the Study of Dynamic Economies Book Review:

Macroeconomics increasingly uses stochastic dynamic general equilibrium models to understand theoretical and policy issues. Unless very strong assumptions are made, understanding the properties of particular models requires solving the model using a computer. This volume brings together leading contributors in the field who explain in detail how to implement the computational techniques needed to solve dynamic economics models. A broad spread of techniques are covered, and their application in a wide range of subjects discussed. The book provides the basics of a toolkit which researchers and graduate students can use to solve and analyse their own theoretical models.

Computational Methods in Transport

Computational Methods in Transport
Author: Frank Graziani
Publsiher: Springer Science & Business Media
Total Pages: 539
Release: 2006-02-17
ISBN 10: 3540281258
ISBN 13: 9783540281252
Language: EN, FR, DE, ES & NL

Computational Methods in Transport Book Review:

Thereexistawiderangeofapplicationswhereasigni?cantfractionofthe- mentum and energy present in a physical problem is carried by the transport of particles. Depending on the speci?capplication, the particles involved may be photons, neutrons, neutrinos, or charged particles. Regardless of which phenomena is being described, at the heart of each application is the fact that a Boltzmann like transport equation has to be solved. The complexity, and hence expense, involved in solving the transport problem can be understood by realizing that the general solution to the 3D Boltzmann transport equation is in fact really seven dimensional: 3 spatial coordinates, 2 angles, 1 time, and 1 for speed or energy. Low-order appro- mations to the transport equation are frequently used due in part to physical justi?cation but many in cases, simply because a solution to the full tra- port problem is too computationally expensive. An example is the di?usion equation, which e?ectively drops the two angles in phase space by assuming that a linear representation in angle is adequate. Another approximation is the grey approximation, which drops the energy variable by averaging over it. If the grey approximation is applied to the di?usion equation, the expense of solving what amounts to the simplest possible description of transport is roughly equal to the cost of implicit computational ?uid dynamics. It is clear therefore, that for those application areas needing some form of transport, fast, accurate and robust transport algorithms can lead to an increase in overall code performance and a decrease in time to solution.