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Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers

Finite Element Simulations Using ANSYS (Hardcover, 2nd edition): Esam M. Alawadhi Finite Element Simulations Using ANSYS (Hardcover, 2nd edition)
Esam M. Alawadhi
R3,801 Discovery Miles 38 010 Ships in 12 - 17 working days

Uses a Step-By-Step Technique Directed with Guided Problems and Relevant Screen Shots Simulation use is on the rise, and more practicing professionals are depending on the reliability of software to help them tackle real-world mechanical engineering problems. Finite Element Simulations Using ANSYS, Second Edition offers a basic understanding of the principles of simulation in conjunction with the application of ANSYS. Employing a step-by-step process, the book presents practical end-of-chapter problems that are solved using ANSYS and explains the physics behind them. The book examines structure, solid mechanics, vibration, heat transfer, and fluid dynamics. Each topic is treated in a way that allows for the independent study of a single subject or related chapter. What's New in the Second Edition: Introduces the newest methods in modeling and meshing for finite element analysis Modifies ANSYS examples to comply with the newest version of ANSYS Replaces many ANSYS examples used in the first edition with more general, comprehensive, and easy-to-follow examples Adds more details to the theoretical material on the finite element Provides increased coverage of finite element analysis for heat transfer topics Presents open-ended, end-of-chapter problems tailored to serve as class projects Finite Element Simulations Using ANSYS, Second Edition functions as a fundamental reference for finite element analysis with ANSYS methods and procedures, as well as a guide for project and product analysis and design.

Tomorrow's Systems Engineering - Commentaries on the Profession (Hardcover): Howard Eisner Tomorrow's Systems Engineering - Commentaries on the Profession (Hardcover)
Howard Eisner
R1,412 Discovery Miles 14 120 Ships in 12 - 17 working days

This book looks at systems engineering now and comments on the future. It notes the signs of deepening our understanding of the field which includes, digital engineering, interactive model-based systems, decision support frameworks, and points to a grand unified theory. The book also suggests how the systems engineer can be a better designer and architect. Offering commentaries regarding how the field of systems engineering might evolve over the next couple of decades, Tomorrow's Systems Engineering: Commentaries on the Profession looks at the potential opportunities that might lie ahead rather than making predictions for the future of the field. The book allows the reader to prepare for the future in terms of technical interest as well as competitiveness and suggests opportunities that could be significant and useful for planning actions in the careers of future systems engineers. Discussions of improvements in how we develop and use software that can help to facilitate and protect overall IT capability within the system design and system architecture are also included. This book is for systems engineers and software engineers who wish to think now about the directions the field might take in the next two decades.

Structural Dynamics for the Practising Engineer (Hardcover): H.M. Irvine Structural Dynamics for the Practising Engineer (Hardcover)
H.M. Irvine
R9,634 Discovery Miles 96 340 Ships in 12 - 17 working days

This text covers the increasingly significant field of structural dynamics within civil/structural engineering. The book concentrates on single-degree systems as nearly all systems can be reduced to single-degree level and the quality of the information is considered adequate for decision-making. The author goes on to cover multi-degree systems in the final chapter. There are worked examples drawn from practice and exercises are provided at the end of each chapter.

Anisotropy Across Fields and Scales (Hardcover, 1st ed. 2021): Evren OEzarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster Anisotropy Across Fields and Scales (Hardcover, 1st ed. 2021)
Evren OEzarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
R1,332 Discovery Miles 13 320 Ships in 12 - 17 working days

This open access book focuses on processing, modeling, and visualization of anisotropy information, which are often addressed by employing sophisticated mathematical constructs such as tensors and other higher-order descriptors. It also discusses adaptations of such constructs to problems encountered in seemingly dissimilar areas of medical imaging, physical sciences, and engineering. Featuring original research contributions as well as insightful reviews for scientists interested in handling anisotropy information, it covers topics such as pertinent geometric and algebraic properties of tensors and tensor fields, challenges faced in processing and visualizing different types of data, statistical techniques for data processing, and specific applications like mapping white-matter fiber tracts in the brain. The book helps readers grasp the current challenges in the field and provides information on the techniques devised to address them. Further, it facilitates the transfer of knowledge between different disciplines in order to advance the research frontiers in these areas. This multidisciplinary book presents, in part, the outcomes of the seventh in a series of Dagstuhl seminars devoted to visualization and processing of tensor fields and higher-order descriptors, which was held in Dagstuhl, Germany, on October 28-November 2, 2018.

Engineering Statistics (Paperback, 5th Edition SI Version): Douglas C. Montgomery, George C. Runger, Norma F. Hubele Engineering Statistics (Paperback, 5th Edition SI Version)
Douglas C. Montgomery, George C. Runger, Norma F. Hubele
R1,443 Discovery Miles 14 430 Ships in 12 - 17 working days

Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, and statistical process control. Developed with sponsorship from the National Science Foundation, this revision incorporates many insights from the authors teaching experience along with feedback from numerous adopters of previous editions.

Statistical Methods and the Geographer (Paperback, Revised): Stanley Gregory Statistical Methods and the Geographer (Paperback, Revised)
Stanley Gregory
R1,546 Discovery Miles 15 460 Ships in 12 - 17 working days

First published in 1978. Routledge is an imprint of Taylor & Francis, an informa company.

Modeling and Computation in Engineering II (Hardcover): Liquan Xie Modeling and Computation in Engineering II (Hardcover)
Liquan Xie
R4,376 Discovery Miles 43 760 Ships in 12 - 17 working days

Modeling and Computation in Engineering II (CMCE 2013, Hong Kong, 22-23 June 2013) includes 50 contributions on modeling and simulation technology, which were presented at the 2nd SREE Conference on Modeling and Computation in Engineering (CMCE 2013) and the 3rd SREE Workshop on Applied Mechanics and Civil Engineering (AMCE 2013), both held in Hong Kong, 22-23 June 2013 . The topics covered include:

- Modeling technology

- Simulation technology and tools

- Computation methods and their engineering applications

- Mechanics in engineering

Modeling and Computation in Engineering II reviews recent advances in multiple areas, including applied mechanics & civil engineering, modeling & simulation in engineering, design theories, construction science and advanced material applications in building structures, underground structures, bridge structures, hydraulic engineering, municipal engineering, port and coastal engineering, road and transportation engineering, and will be invaluable to academics and professional interested in civil, hydraulic and mechanical engineering.

Algebraic and Differential Methods for Nonlinear Control Theory - Elements of Commutative Algebra and Algebraic Geometry... Algebraic and Differential Methods for Nonlinear Control Theory - Elements of Commutative Algebra and Algebraic Geometry (Hardcover, 1st ed. 2019)
Rafael Martinez-Guerra, Oscar Martinez-Fuentes, Juan Javier Montesinos-Garcia
R3,405 Discovery Miles 34 050 Ships in 10 - 15 working days

This book is a short primer in engineering mathematics with a view on applications in nonlinear control theory. In particular, it introduces some elementary concepts of commutative algebra and algebraic geometry which offer a set of tools quite different from the traditional approaches to the subject matter. This text begins with the study of elementary set and map theory. Chapters 2 and 3 on group theory and rings, respectively, are included because of their important relation to linear algebra, the group of invertible linear maps (or matrices) and the ring of linear maps of a vector space. Homomorphisms and Ideals are dealt with as well at this stage. Chapter 4 is devoted to the theory of matrices and systems of linear equations. Chapter 5 gives some information on permutations, determinants and the inverse of a matrix. Chapter 6 tackles vector spaces over a field, Chapter 7 treats linear maps resp. linear transformations, and in addition the application in linear control theory of some abstract theorems such as the concept of a kernel, the image and dimension of vector spaces are illustrated. Chapter 8 considers the diagonalization of a matrix and their canonical forms. Chapter 9 provides a brief introduction to elementary methods for solving differential equations and, finally, in Chapter 10, nonlinear control theory is introduced from the point of view of differential algebra.

Enhanced Bayesian Network Models for Spatial Time Series Prediction - Recent Research Trend in Data-Driven Predictive Analytics... Enhanced Bayesian Network Models for Spatial Time Series Prediction - Recent Research Trend in Data-Driven Predictive Analytics (Hardcover, 1st ed. 2020)
Monidipa Das, Soumya K. Ghosh
R3,362 Discovery Miles 33 620 Ships in 12 - 17 working days

This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, while it is also a source of intriguing and motivating questions for advanced research on spatial data science. The monograph is primarily prepared for graduate students of Computer Science, who wish to employ probabilistic graphical models, especially Bayesian networks (BNs), for applied research on spatial/spatio-temporal data. Students of any other discipline of engineering, science, and technology, will also find this monograph useful. Research students looking for a suitable problem for their MS or PhD thesis will also find this monograph beneficial. The open research problems as discussed with sufficient references in Chapter-8 and Chapter-9 can immensely help graduate researchers to identify topics of their own choice. The various illustrations and proofs presented throughout the monograph may help them to better understand the working principles of the models. The present monograph, containing sufficient description of the parameter learning and inference generation process for each enhanced BN model, can also serve as an algorithmic cookbook for the relevant system developers.

Mathematical Foundations of System Safety Engineering - A Road Map for the Future (Hardcover, 1st ed. 2020): Richard R. Zito Mathematical Foundations of System Safety Engineering - A Road Map for the Future (Hardcover, 1st ed. 2020)
Richard R. Zito
R1,885 Discovery Miles 18 850 Ships in 12 - 17 working days

This graduate-level textbook elucidates low-risk and fail-safe systems in mathematical detail. It addresses, in particular, problems where mission-critical performance is paramount, such as in aircraft, missiles, nuclear reactors and weapons, submarines, and many other types of systems where "failure" can result in overwhelming loss of life and property. The book is divided into four parts: Fundamentals, Electronics, Software, and Dangerous Goods. The first part on Fundamentals addresses general concepts of system safety engineering that are applicable to any type of system. The second part, Electronics, addresses the detection and correction of electronic hazards. In particular, the Bent Pin Problem, Sneak Circuit Problem, and related electrical problems are discussed with mathematical precision. The third part on Software addresses predicting software failure rates as well as detecting and correcting deep software logical flaws (called defects). The fourth part on Dangerous Goods presents solutions to three typical industrial chemical problems faced by the system safety engineer during the design, storage, and disposal phases of a dangerous goods' life cycle.

Smoothed Finite Element Methods (Hardcover): G.R. Liu, Nguyen Trung Smoothed Finite Element Methods (Hardcover)
G.R. Liu, Nguyen Trung
R5,303 Discovery Miles 53 030 Ships in 12 - 17 working days

Generating a quality finite element mesh is difficult and often very time-consuming. Mesh-free methods operations can also be complicated and quite costly in terms of computational effort and resources. Developed by the authors and their colleagues, the smoothed finite element method (S-FEM) only requires a triangular/tetrahedral mesh to achieve more accurate results, a generally higher convergence rate in energy without increasing computational cost, and easier auto-meshing of the problem domain. Drawing on the authors extensive research results, Smoothed Finite Element Methods presents the theoretical framework and development of various S-FEM models.

After introducing background material, basic equations, and an abstracted version of the FEM, the book discusses the overall modeling procedure, fundamental theories, error assessment matters, and necessary building blocks to construct useful S-FEM models. It then focuses on several specific S-FEM models, including cell-based (CS-FEM), node-based (NS-FEM), edge-based (ES-FEM), face-based (FS-FEM), and a combination of FEM and NS-FEM (?FEM). These models are then applied to a wide range of physical problems in solid mechanics, fracture mechanics, viscoelastoplasticity, plates, piezoelectric structures, heat transfer, and structural acoustics.

Requiring no previous knowledge of FEM, this book shows how computational methods and numerical techniques like the S-FEM help in the design and analysis of advanced engineering systems in rapid and cost-effective ways since the modeling and simulation can be performed automatically in a virtual environment without physically building the system. Readers can easily apply the methods presented in the text to their own engineering problems for reliable and certified solutions.

Discrete Variational Derivative Method - A Structure-Preserving Numerical Method for Partial Differential Equations... Discrete Variational Derivative Method - A Structure-Preserving Numerical Method for Partial Differential Equations (Hardcover)
Daisuke Furihata, Takayasu Matsuo
R3,502 Discovery Miles 35 020 Ships in 12 - 17 working days

Nonlinear Partial Differential Equations (PDEs) have become increasingly important in the description of physical phenomena. Unlike Ordinary Differential Equations, PDEs can be used to effectively model multidimensional systems. The methods put forward in Discrete Variational Derivative Method concentrate on a new class of "structure-preserving numerical equations" which improves the qualitative behaviour of the PDE solutions and allows for stable computing. The authors have also taken care to present their methods in an accessible manner, which means that the book will be useful to engineers and physicists with a basic knowledge of numerical analysis. Topics discussed include: * "Conservative" equations such as the Korteweg-de Vries equation (shallow water waves) and the nonlinear Schr dinger equation (optical waves) * "Dissipative" equations such as the Cahn-Hilliard equation (some phase separation phenomena) and the Newell-Whitehead equation (two-dimensional B nard convection flow) * Design of spatially and temporally high-order schemas * Design of linearly-implicit schemas * Solving systems of nonlinear equations using numerical Newton method libraries

Markov Chains and Decision Processes for Engineers and Managers (Hardcover): Theodore J Sheskin Markov Chains and Decision Processes for Engineers and Managers (Hardcover)
Theodore J Sheskin
R4,525 Discovery Miles 45 250 Ships in 12 - 17 working days

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and service systems. However, most books on Markov chains or decision processes are often either highly theoretical, with few examples, or highly prescriptive, with little justification for the steps of the algorithms used to solve Markov models. Providing a unified treatment of Markov chains and Markov decision processes in a single volume, Markov Chains and Decision Processes for Engineers and Managers supplies a highly detailed description of the construction and solution of Markov models that facilitates their application to diverse processes.

Organized around Markov chain structure, the book begins with descriptions of Markov chain states, transitions, structure, and models, and then discusses steady state distributions and passage to a target state in a regular Markov chain. The author treats canonical forms and passage to target states or to classes of target states for reducible Markov chains. He adds an economic dimension by associating rewards with states, thereby linking a Markov chain to a Markov decision process, and then adds decisions to create a Markov decision process, enabling an analyst to choose among alternative Markov chains with rewards so as to maximize expected rewards. An introduction to state reduction and hidden Markov chains rounds out the coverage.

In a presentation that balances algorithms and applications, the author provides explanations of the logical relationships that underpin the formulas or algorithms through informal derivations, and devotes considerable attention to the construction of Markov models. He constructs simplified Markov models for a wide assortment of processes such as the weather, gambling, diffusion of gases, a waiting line, inventory, component replacement, machine maintenance, selling a stock, a charge account, a career path, patient flow in a hospital, marketing, and a production line. This treatment helps you harness the power of Markov modeling and apply it to your organization s processes.

Transforms and Applications Handbook (Hardcover, 3rd edition): Alexander D. Poularikas Transforms and Applications Handbook (Hardcover, 3rd edition)
Alexander D. Poularikas; Contributions by Artyom M. Grigoryan; Series edited by Richard C. Dorf
R6,214 Discovery Miles 62 140 Ships in 12 - 17 working days

Updating the original, Transforms and Applications Handbook, Third Edition solidifies its place as the complete resource on those mathematical transforms most frequently used by engineers, scientists, and mathematicians. Highlighting the use of transforms and their properties, this latest edition of the bestseller begins with a solid introduction to signals and systems, including properties of the delta function and some classical orthogonal functions. It then goes on to detail different transforms, including lapped, Mellin, wavelet, and Hartley varieties. Written by top experts, each chapter provides numerous examples and applications that clearly demonstrate the unique purpose and properties of each type. The material is presented in a way that makes it easy for readers from different backgrounds to familiarize themselves with the wide range of transform applications. Revisiting transforms previously covered, this book adds information on other important ones, including: Finite Hankel, Legendre, Jacobi, Gengenbauer, Laguerre, and Hermite Fraction Fourier Zak Continuous and discrete Chirp-Fourier Multidimensional discrete unitary Hilbert-Huang Most comparable books cover only a few of the transforms addressed here, making this text by far the most useful for anyone involved in signal processing-including electrical and communication engineers, mathematicians, and any other scientist working in this field.

Introduction to Probability and Statistics for Engineers and Scientists (Hardcover, 6th edition): Sheldon M. Ross Introduction to Probability and Statistics for Engineers and Scientists (Hardcover, 6th edition)
Sheldon M. Ross
R2,784 Discovery Miles 27 840 Ships in 12 - 17 working days

Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this useful introduction supports reader comprehension through a wide variety of exercises and examples. End-of-chapter reviews of materials highlight key ideas, also discussing the risks associated with the practical application of each material. In the new edition, coverage includes information on Big Data and the use of R. This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological, physical and computer science departments. It is also appropriate for scientists, engineers and other professionals seeking a reference of foundational content and application to these fields.

Spatial Ecology (Hardcover): Stephen Cantrell, Chris Cosner, Shigui Ruan Spatial Ecology (Hardcover)
Stephen Cantrell, Chris Cosner, Shigui Ruan
R3,207 Discovery Miles 32 070 Ships in 12 - 17 working days

Exploring the relationship between mathematics and ecology, Spatial Ecology focuses on some important emerging challenges in the field. These challenges consist of understanding the impact of space on community structure, incorporating the scale and structure of landscapes into mathematical models, and developing connections between spatial ecology and evolutionary theory, epidemiology, and economics. The book begins with essays on how spatial effects influence the dynamics of populations and the structure of communities. It then discusses how spatial scale and structure and dispersal behavior connect to phenomena in population dynamics, evolution, epidemiology, and economics. Subsequent chapters focus on the interplay of ecology with evolution, epidemiology, and economics. The chapters on ecology and evolutionary theory provide a guided tour through a number of scenarios and modeling approaches that represent active areas of current research and suggest some paths toward conceptual unification. The book then illustrates how problems in epidemiology and ecology can be profitably addressed by similar modeling regimes. It concludes with essays that describe how ideas from economics, ecology, and quality control theory may be combined to address issues in natural resource management. With contributions from some of the best in the field, this volume promotes the advancement of ecology as a truly quantitative science, particularly as it touches on the role of space. The book will inspire readers to open up new areas of research in the mathematical theory of spatial ecology and its connections with evolutionary theory, epidemiology, and economics.

Computer Arithmetics for Nanoelectronics (Hardcover, New): Vlad P. Shmerko, Svetlana N. Yanushkevich, Sergey Edward Lyshevski Computer Arithmetics for Nanoelectronics (Hardcover, New)
Vlad P. Shmerko, Svetlana N. Yanushkevich, Sergey Edward Lyshevski
R5,734 Discovery Miles 57 340 Ships in 12 - 17 working days

"Emphasizes the Basic Principles of Computational Arithmetic and Computational Structure Design"

Taking an interdisciplinary approach to the nanoscale generation of computer devices and systems, Computer Arithmetics for Nanoelectronics develops a consensus between computational properties provided by data structures and phenomenological properties of nano and molecular technology.

"Covers All Stages of the Design Cycle, from Task Formulation to Molecular-Based Implementation"

The book introduces the theoretical base and properties of various data structures, along with techniques for their manipulation, optimization, and implementation. It also assigns the computational properties of logic design data structures to 3D structures, furnishes information-theoretical measures and design aspects, and discusses the testability problem. The last chapter presents a nanoscale prospect for natural computing based on assorted computing paradigms from nature.

"Balanced Coverage of State-of-the-Art Concepts, Techniques, and Practices"

Up-to-date, comprehensive, and pragmatic in its approach, this text provides a unified overview of the relationship between the fundamentals of digital system design, computer architectures, and micro- and nanoelectronics.

Uncertain Renewal Processes (Hardcover, 1st ed. 2019): Kai Yao Uncertain Renewal Processes (Hardcover, 1st ed. 2019)
Kai Yao
R2,818 Discovery Miles 28 180 Ships in 12 - 17 working days

This book explores various renewal processes in the context of probability theory, uncertainty theory and chance theory. It also covers the applications of these renewal processes in maintenance models and insurance risk models. The methods used to derive the limit of the renewal rate, the reward rate, and the availability rate are of particular interest, as they can easily be extended to the derivation of other models. Its comprehensive and systematic treatment of renewal processes, renewal reward processes and the alternating renewal process is one of the book's major features, making it particularly valuable for readers who are interested in learning about renewal theory. Given its scope, the book will benefit researchers, engineers, and graduate students in the fields of mathematics, information science, operations research, industrial engineering, etc.

Essential Math Skills for Engineers (Paperback): C.R. Paul Essential Math Skills for Engineers (Paperback)
C.R. Paul
R1,426 Discovery Miles 14 260 Ships in 12 - 17 working days

Just the math skills you need to excel in the study or practice of engineering

Good math skills are indispensable for all engineers regardless of their specialty, yet only a relatively small portion of the math that engineering students study in college mathematics courses is used on a frequent basis in the study or practice of engineering. That's why "Essential Math Skills for Engineers" focuses on only these few critically essential math skills that students need in order to advance in their engineering studies and excel in engineering practice.

"Essential Math Skills for Engineers" features concise, easy-to-follow explanations that quickly bring readers up to speed on all the essential core math skills used in the daily study and practice of engineering. These fundamental and essential skills are logically grouped into categories that make them easy to learn while also promoting their long-term retention. Among the key areas covered are:

Algebra, geometry, trigonometry, complex arithmetic, and differential and integral calculus

Simultaneous, linear, algebraic equations

Linear, constant-coefficient, ordinary differential equations

Linear, constant-coefficient, difference equations

Linear, constant-coefficient, partial differential equations

Fourier series and Fourier transform

Laplace transform

Mathematics of vectors

With the thorough understanding of essential math skills gained from this text, readers will have mastered a key component of the knowledge needed to become successful students of engineering. In addition, this text is highly recommended for practicing engineers who want to refresh their math skills in order to tackle problems in engineering with confidence.

High Performance Computing in Science and Engineering '21 - Transactions of the High Performance Computing Center,... High Performance Computing in Science and Engineering '21 - Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2021 (Hardcover, 1st ed. 2023)
Wolfgang E. Nagel, Dietmar H. Kroener, Michael M Resch
R5,562 Discovery Miles 55 620 Ships in 12 - 17 working days

This book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS) in 2021. The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe's leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance. The book covers the main methods in high-performance computing. Its outstanding results in achieving the best performance for production codes are of particular interest for both scientists and engineers. The book comes with a wealth of color illustrations and tables of results.

An Introduction to Mathematics for Engineers - Mechanics (Paperback): Stephen Lee An Introduction to Mathematics for Engineers - Mechanics (Paperback)
Stephen Lee
R1,688 Discovery Miles 16 880 Ships in 12 - 17 working days

This new introductory mechanics textbook is written for engineering students within further and higher education who are looking to bridge the gap between A-Level and university or college. It introduces key concepts in a clear and straightforward manner, with reference to real-world applications and thoroughly explains each line of mathematical development. Together with instructive diagrams, case studies and many questions to work through, this text will ensure a thorough understanding of the fundamentals of mechanics. An enclosed CD-ROM also contains 'Personal Tutor' electronic step-by-step worked examples, with voice-over commentary, which take the student through sample problems and solutions. This book is suitable for students of: mechanical engineering civil engineering aeronautical engineering automotive engineering physics general engineering and all other related engineering disciplines where applied mathematics is essential.

Cognition and Intractability - A Guide to Classical and Parameterized Complexity Analysis (Paperback): Iris van Rooij, Mark... Cognition and Intractability - A Guide to Classical and Parameterized Complexity Analysis (Paperback)
Iris van Rooij, Mark Blokpoel, Johan Kwisthout, Todd Wareham
R1,042 Discovery Miles 10 420 Ships in 12 - 17 working days

Intractability is a growing concern across the cognitive sciences: while many models of cognition can describe and predict human behavior in the lab, it remains unclear how these models can scale to situations of real-world complexity. Cognition and Intractability is the first book to provide an accessible introduction to computational complexity analysis and its application to questions of intractability in cognitive science. Covering both classical and parameterized complexity analysis, it introduces the mathematical concepts and proof techniques that can be used to test one's intuition of (in)tractability. It also describes how these tools can be applied to cognitive modeling to deal with intractability, and its ramifications, in a systematic way. Aimed at students and researchers in philosophy, cognitive neuroscience, psychology, artificial intelligence, and linguistics who want to build a firm understanding of intractability and its implications in their modeling work, it is an ideal resource for teaching or self-study.

Uncertainty Modeling for Data Mining - A Label Semantics Approach (Hardcover, 2014 ed.): Zengchang Qin, Yongchuan Tang Uncertainty Modeling for Data Mining - A Label Semantics Approach (Hardcover, 2014 ed.)
Zengchang Qin, Yongchuan Tang
R3,540 R2,557 Discovery Miles 25 570 Save R983 (28%) Ships in 12 - 17 working days

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. "Uncertainty Modeling for Data Mining: A Label Semantics Approach" introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for postgraduates, researchers and other professionals in the fields of data mining, fuzzy computing and uncertainty reasoning.

Zengchang Qin is an associate professor at the School of Automation Science and Electrical Engineering, Beihang University, China; Yongchuan Tang is an associate professor at the College of Computer Science, Zhejiang University, China.

Nonlinear Time Series - Semiparametric and Nonparametric Methods (Hardcover): Jiti Gao Nonlinear Time Series - Semiparametric and Nonparametric Methods (Hardcover)
Jiti Gao
R4,506 Discovery Miles 45 060 Ships in 12 - 17 working days

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve dimensionality reduction problems arising from using fully nonparametric models and methods. Answering the call for an up-to-date overview of the latest developments in the field, Nonlinear Time Series: Semiparametric and Nonparametric Methods focuses on various semiparametric methods in model estimation, specification testing, and selection of time series data. After a brief introduction, the book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data. It also assesses some newly proposed semiparametric estimation procedures for time series data with long-range dependence. Even though the book only deals with climatological and financial data, the estimation and specifications methods discussed can be applied to models with real-world data in many disciplines. This resource covers key methods in time series analysis and provides the necessary theoretical details. The latest applied finance and financial econometrics results and applications presented in the book enable researchers and graduate students to keep abreast of developments in the field.

Geometric Algebra and Applications to Physics (Hardcover): Venzo De Sabbata, Bidyut Kumar Datta Geometric Algebra and Applications to Physics (Hardcover)
Venzo De Sabbata, Bidyut Kumar Datta
R5,084 Discovery Miles 50 840 Ships in 12 - 17 working days

Bringing geometric algebra to the mainstream of physics pedagogy, Geometric Algebra and Applications to Physics not only presents geometric algebra as a discipline within mathematical physics, but the book also shows how geometric algebra can be applied to numerous fundamental problems in physics, especially in experimental situations. This reference begins with several chapters that present the mathematical fundamentals of geometric algebra. It introduces the essential features of postulates and their underlying framework; bivectors, multivectors, and their operators; spinor and Lorentz rotations; and Clifford algebra. The book also extends some of these topics into three dimensions. Subsequent chapters apply these fundamentals to various common physical scenarios. The authors show how Maxwell's equations can be expressed and manipulated via space-time algebra and how geometric algebra reveals electromagnetic waves' states of polarization. In addition, they connect geometric algebra and quantum theory, discussing the Dirac equation, wave functions, and fiber bundles. The final chapter focuses on the application of geometric algebra to problems of the quantization of gravity. By covering the powerful methodology of applying geometric algebra to all branches of physics, this book provides a pioneering text for undergraduate and graduate students as well as a useful reference for researchers in the field.

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