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Books > Science & Mathematics > Mathematics
In this book, matrices and their algebra have been introduced from the beginning. So, the addition, multiplication, determinants, adjoint and inverse of matrices with concrete examples have been discussed properly. For advanced students, rank, vector spaces, with row and column spaces of matrices have been given in detail. Some new chapters on geometrical transformation, bilinear forms, quadratic forms, Hermitian forms and similar matrices are dealt with at specific length to give the book a self contained feel. Conceptual, theoretical as well as numerical problems have also been included. Many important problems have been solved and graded exercises are given at the end of each section. This book caters to the needs of undergraduate students of engineering, physics, computer graphics, economics, psychology and other branches.
Mathematical Problems for Chemistry Students has been compiled and
written (a) to help chemistry
The third edition of the by now classic reference on rigorous analysis of symmetry breaking in both classical and quantum field theories adds new topics of relevance, in particular the effect of dynamical Coulomb delocalization, by which boundary conditions give rise to volume effects and to energy/mass gap in the Goldstone spectrum (plasmon spectrum, Anderson superconductivity, Higgs phenomenon). The book closes with a discussion of the physical meaning of global and local gauge symmetries and their breaking, with attention to the effect of gauge group topology in QCD. From the reviews of the first edition: It is remarkable to see how much material can actually be presented in a rigorous way (incidentally, many of the results presented are due to Strocchi himself), yet this is largely ignored, the original heuristic derivations being, as a rule, more popular. - At each step he strongly emphasizes the physical meaning and motivation of the various notions introduced [...] a book that fills a conspicuous gap in the literature, and does it rather well. It could also be a good basis for a graduate course in mathematical physics. J.-P. Antoine, Physicalia 28/2, 2006 Despite many accounts in popular textbooks and a widespread belief, the phenomenon is rather subtle, requires an infinite set of degrees of freedom and an advanced mathematical setting of the system under investigation. [...] The mathematically oriented graduate student will certainly benefit from this thorough, rigorous and detailed investigation. G. Roepstorff, Zentralblatt MATH, Vol. 1075, 2006 From the reviews of the second edition: This second edition of Strocchi's Symmetry Breaking presents a complete, generalized and highly rigorous discussion of the subject, based on a formal analysis of conditions necessary for the mechanism of spontaneous symmetry breaking to occur in classical systems, as well as in quantum systems. [...] This book is specifically recommended for mathematical physicists interested in a deeper and rigorous understanding of the subject, and it should be mandatory for researchers studying the mechanism of spontaneous symmetry breaking. S. Hajjawi, Mathematical Reviews, 2008
This book introduces game theory as a means to conceptualize, model, and analyze cyber deception. Drawing upon a collection of deception research from the past 10 years, the authors develop a taxonomy of six species of defensive cyber deception. Three of these six species are highlighted in the context of emerging problems such as privacy against ubiquitous tracking in the Internet of things (IoT), dynamic honeynets for the observation of advanced persistent threats (APTs), and active defense against physical denial-of-service (PDoS) attacks. Because of its uniquely thorough treatment of cyber deception, this book will serve as a timely contribution and valuable resource in this active field. The opening chapters introduce both cybersecurity in a manner suitable for game theorists and game theory as appropriate for cybersecurity professionals. Chapter Four then guides readers through the specific field of defensive cyber deception. A key feature of the remaining chapters is the development of a signaling game model for the species of leaky deception featured in honeypots and honeyfiles. This model is expanded to study interactions between multiple agents with varying abilities to detect deception. Game Theory for Cyber Deception will appeal to advanced undergraduates, graduate students, and researchers interested in applying game theory to cybersecurity. It will also be of value to researchers and professionals working on cybersecurity who seek an introduction to game theory.
This book highlights new methods and parametric algorithms for the digital coherent processing of signals in airborne radar systems located on air vehicles. Using the autoregressive (AR) model, it delivers more accurate danger assessments for flight in wind shear and atmospheric turbulence, while also suggesting how they could be implemented. Given its scope, the book is intended for technical experts whose work involves the development, production and operation of airborne radio-electronic systems.
This proceedings volume covers research in key areas of applied mathematical analysis, and gathers works presented at the international conference "Concord-90," in honor of the 90th birthday of Professor Constantin Corduneanu (1928-2018). The event - which Professor Corduneanu was able to attend - was held at Ural Federal University in Ekaterinburg, Russia, on July 26-28, 2018. Professor Corduneanu's research in mathematical analysis spanned nearly seven decades and explored a range of important issues in the field, including studies of global existence, stability problems, and oscillation theory, with special emphasis on various classes of nonlinear equations. He published over two hundred articles and several books, including "Almost Periodic Oscillations and Waves" (Springer, 2009). In this volume the reader will find selected, peer-reviewed articles from seven fields of research - Differential Equations, Optimal Control and Stabilization; Stochastic Methods; Topology and Functions Approximation; Mathematical Biology and Bioinformatics; Mathematical Modeling in Mining; Mathematical Modeling in Economics; and Computer Science and Image Processing - which honor and reflect Professor Corduneanu's legacy in the fields of oscillation, stability and control theory.
Text extracted from opening pages of book: HIGHER ALGEBRA BY S. BARNARD, M. A. FORMERLY ASSISTANT MASTER AT RUGBY SCHOOL, LATE FELLOW AND LECTURER AT EMMANUEL COLLEGE, CAMBRIDGE AND J. M. CHILD, B. A., B. Sc. FORMERLY LECTURER IN MATHEMATICS IN THE UNIVERSITY OF' MANCHESTER LATE HEAD OF MATHEMATICAL DEPARTMENT, TECHNICAL COLLEGE, DERBY FORMERLY SCHOLAR AT JESUS COLLEGE, CAMBRIDGE LON-DON MACMILLAN fcf'CO LTD * v NEW YORK ST MARTIN * S PRESS 1959 This book is copyright in all countries which are signatories to the Berne Convention First Edition 1936 Reprinted 1947, 949> I952> * 955, 1959 MACMILLAN AND COMPANY LIMITED London Bombay Calcutta Madras Melbourne THE MACMILLAN COMPANY OF CANADA LIMITED Toronto ST MARTIN'S PRESS INC New York PRINTED IN GREAT BRITAIN BY LOWE AND BRYDONE ( PRINTERS) LIMITED, LONDON, N. W. IO CONTENTS ix IjHAPTER EXEKCISE XV ( 128). Minors, Expansion in Terms of Second Minors ( 132, 133). Product of Two Iteterminants ( 134). Rectangular Arrays ( 135). Reciprocal Deteyrrtlilnts, Two Methods of Expansion ( 136, 137). Use of Double Suffix, Symmetric and Skew-symmetric Determinants, Pfaffian ( 138-143), ExERtad XVI ( 143) X. SYSTEMS OF EQUATIONS. Definitions, Equivalent Systems ( 149, 150). Linear Equations in Two Unknowns, Line at Infinity ( 150-152). Linear Equations in Three Unknowns, Equation to a Plane, Plane at Infinity ( 153-157). EXEKCISE XVII ( 158). Systems of Equations of any Degree, Methods of Solution for Special Types ( 160-164). EXERCISE XVIII ( 164). XL RECIPROCAL AND BINOMIAL EQUATIONS. Reduction of Reciprocal Equations ( 168-170). The Equation x n - 1= 0, Special Roots ( 170, 171). The Equation x n - A = 0 ( 172). The Equation a 17 - 1 == 0, Regular17-sided Polygon ( 173-176). EXERCISE XIX ( 177). AND BIQUADRATIC EQUATIONS. The Cubic Equation ( roots a, jS, y), Equation whose Roots are ( - y) 2, etc., Value of J, Character of Roots ( 179, 180). Cardan's Solution, Trigonometrical Solution, the Functions a - f eo/? - f-\> V> a-f a> 2 4-a> y ( 180, 181). Cubic as Sum of Two Cubes, the Hessftfh ( 182, 183). Tschirnhausen's Transformation ( 186). EXERCISE XX ( 184). The Biquadratic Equation ( roots a, y, 8) ( 186). The Functions A= y ] aS, etc., the Functions /, J, J, Reducing Cubic, Character of Roots ( 187-189). Ferrari's Solution and Deductions ( 189-191). Descartes' Solution ( 191). Conditions for Four Real Roots ( 192-ty). Transformation into Reciprocal Form ( 194). Tschirnhausen's Trans formation ( 195). EXERCISE XXI ( 197). OP IRRATIONALS. Sections of the System of Rationals, Dedekind's Definition ( 200, 201). Equality and Inequality ( 202). Use of Sequences in defining a Real Number, Endless Decimals ( 203, 204). The Fundamental Operations of Arithmetic, Powers, Roots and Surds ( 204-209). Irrational Indices, Logarithms ( 209, 210). Definitions, Interval, Steadily Increasing Functions ( 210). Sections of the System of Real Numbers, the Continuum ( 211, 212). Ratio and Proportion, Euclid's Definition ( 212, 213). EXERCISE XXII ( 214). x CONTENTS CHAPTER XIV/ INEQUALITIES. Weierstrass' Inequalities ( 216). Elementary Methods ( 210, 217) For n Numbers a l9 a 2 a > \* JACJJ n n n ( a* -!)/* ( a - I)/*, , ( 219). xa x ~ l ( a-b)$ a x - b x xb x ~ l ( a - 6), ( 219). ( l+ x) n l+ nx, ( 220). Arithmetic and Geometric Means ( 221, 222). - - V n and Extension ( 223). Maxima and Minima ( 223, 224). EXERCISE XXIII ( 224). XV. SEQUENCESAND LIMITS. Definitions, Theorems, Monotone Sequences ( 228-232). E* ponential Inequalities and Limits, l\ m / i\ n / l\-m / 1 \ ~ n 1) >(!+-) and ( 1--) n, m/ \ n/ \ mj \ nj / 1 \ n / l\ w lim ( 1-f-= lim( l--) = e, ( 232,233). n _ > 00 V nj \ nj EXERCISE XXIV ( 233). General Principle of Convergence ( 235-237). Bounds of a Sequent Limits of Inde termination ( 237-240). Theorems: ( 1) Increasing Sequence ( u n ), where u n - u n l 0 and u n+ l lu n -* l, then u n n -* L ( 3) If lim u n l, then lim ( U
This book analyzes a range of new developments in various fields concerning the concepts of chaos and complexity theory. The proceedings of the 7th International Symposium on Chaos, Complexity and Leadership feature newly developed concepts involving various research methodologies for identifying chaos and complexity in different fields of the sciences and leadership. In addition, it explores chaotic and complex systems from all fields of knowledge in order to stake a claim of prevalence of compatibility between knowledge fields. Particular emphasis is placed on exploring non-linearity in order to open a discussion on new approaches to and perspectives on chaos, complexity and leadership. Readers will find coverage of important events that have recently taken place in our world, regardless of whether they were social, political, economic or scientific in nature. The book explores diverse aspects of and issues related to the effects of chaos and complexity in the world; discusses the application of nonlinear dynamics in order to arrive at transformational policies; and offers projections of tomorrow's world using an interdisciplinary approach. Though primarily intended for readers with an interest in nonlinear science, thanks to its focus on the application of chaos and complexity to other disciplines, the book appeals to a broad readership.
This book is considered the first extended survey on algorithms and techniques for efficient cohesive subgraph computation. With rapid development of information technology, huge volumes of graph data are accumulated. An availability of rich graph data not only brings great opportunities for realizing big values of data to serve key applications, but also brings great challenges in computation. Using a consistent terminology, the book gives an excellent introduction to the models and algorithms for the problem of cohesive subgraph computation. The materials of this book are well organized from introductory content to more advanced topics while also providing well-designed source codes for most algorithms described in the book. This is a timely book for researchers who are interested in this topic and efficient data structure design for large sparse graph processing. It is also a guideline book for new researchers to get to know the area of cohesive subgraph computation.
In this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods. In this regard, differential evolution is considered to be a highly promising technique for optimization and is being used to solve various real-time problems. The book studies the algorithms in detail, tests them on a range of test images, and carefully analyzes their performance. Accordingly, it offers a valuable reference guide for all researchers, students and practitioners working in the fields of artificial intelligence, optimization and data analytics.
Modelling of information is necessary in developing information systems. Information is acquired from many sources, by using various methods and tools. It must be recognized, conceptualized, and conceptually organized efficiently so that users can easily understand and use it. Modelling is needed to understand, explain, organize, predict, and reason on information. It also helps to master the role and functions of components of information systems. Modelling can be performed with many different purposes in mind, at different levels, and by using different notions and different background theories. It can be made by emphasizing users' conceptual understanding of information on a domain level, on an algorithmic level, or on representation levels. On each level, the objects and structures used on them are different, and different rules govern the behavior on them. Therefore the notions, rules, theories, languages, and methods for modelling on different levels are also different. It will be useful if we can develop theories and methodologies for modelling, to be used in different situations, because databases, knowledge bases, and repositories in knowledge management systems, developed on the basis of models and used to technically store information, are growing day by day. In this publication, the interest is focused on modelling of information, and one of the central topics is modelling of time. Scientific and technical papers of high quality are brought together in this book.
During the past three decades, the development of nonlinear analysis, dynamical systems and their applications to science and engineering has stimulated renewed enthusiasm for the theory of Ordinary Differential Equations (ODE).This useful book, which is based on the lecture notes of a well-received graduate course, emphasizes both theory and applications, taking numerous examples from physics and biology to illustrate the application of ODE theory and techniques.Written in a straightforward and easily accessible style, this volume presents dynamical systems in the spirit of nonlinear analysis to readers at a graduate level and serves both as a textbook and as a valuable resource for researchers.This new edition contains corrections and suggestions from the various readers and users. A new chapter on Monotone Dynamical Systems is added to take into account the new developments in ordinary differential equations and dynamical systems.
This book addresses multiple aspects of biological clocks in prokaryotes. The first part of the book deals with the circadian clock system in cyanobacteria, i.e. the pioneer of bacterial clocks. Starting with the history and background of cyanobacteria and circadian rhythms in microorganisms, the topics range from the molecular basis, structure and evolution of the circadian clock to modelling approaches, Kai systems in cyanobacteria and biotechnological applications. In the second part, emergent timekeeping properties of bacteria in microbiomes and bacteria other than cyanobacteria are discussed. Since the discovery of circadian rhythms in cyanobacteria in the late 1980s, the field has exploded with new information. The cyanobacterial model system for studying circadian rhythms (Synechococcus elongatus), has allowed a detailed genetic dissection of the bacterial clock due to state-of-the-art methods in molecular, structural, and evolutionary biology. Cutting-edge research spanning from cyanobacteria and circadian phenomena in other kinds of bacteria, to microbiomes has now given the field another major boost. This book is aimed at junior and senior researchers alike. Students or researchers new to the field of biological clocks in prokaryotes will get a comprehensive overview, while more experienced researchers will get an update on the latest developments.
This book is intended as a study aid for the finite element method. Based on the free computer algebra system Maxima, we offer routines to symbolically or numerically solve problems from the context of two-dimensional problems. For this rather advanced topic, classical 'hand calculations' are difficult to perform and the incorporation of a computer algebra system is a convenient approach to handle, for example, larger matrix operations. The mechanical theories focus on the classical two-dimensional structural elements, i.e., plane elements, thin or classical plates, and thick or shear deformable plate elements. The use of a computer algebra system and the incorporated functions, e.g., for matrix operations, allows to focus more on the methodology of the finite element method and not on standard procedures. Furthermore, we offer a graphical user interface (GUI) to facilitate the model definition. Thus, the user may enter the required definitions in a source code manner directly in wxMaxima or use the GUI which is able to execute wxMaxime to perform the calculations.
Mathematics is traditionally seen as the most neutral of disciplines, the furthest removed from the arguments and controversy of politics and social life. However, critical mathematics challenges these assumptions and actively attacks the idea that mathematics is pure, objective, and value?neutral. It argues that history, society, and politics have shaped mathematics-not only through its applications and uses but also through molding its concepts, methods, and even mathematical truth and proof, the very means of establishing truth. Critical mathematics education also attacks the neutrality of the teaching and learning of mathematics, showing how these are value?laden activities indissolubly linked to social and political life. Instead, it argues that the values of openness, dialogicality, criticality towards received opinion, empowerment of the learner, and social/political engagement and citizenship are necessary dimensions of the teaching and learning of mathematics, if it is to contribute towards democracy and social justice. This book draws together critical theoretic contributions on mathematics and mathematics education from leading researchers in the field. Recurring themes include: The natures of mathematics and critical mathematics education, issues of epistemology and ethics; Ideology, the hegemony of mathematics, ethnomathematics, and real?life education; Capitalism, globalization, politics, social class, habitus, citizenship and equity. The book demonstrates the links between these themes and the discipline of mathematics, and its critical teaching and learning. The outcome is a groundbreaking collection unified by a shared concern with critical perspectives of mathematics and education, and of the ways they impact on practice.
This book describes analytical methods for modelling drop evaporation, providing the mathematical tools needed in order to generalise transport and constitutive equations and to find analytical solutions in curvilinear coordinate systems. Transport phenomena in gas mixtures are treated in considerable detail, and the basics of differential geometry are introduced in order to describe interface-related transport phenomena. One chapter is solely devoted to the description of sixteen different orthogonal curvilinear coordinate systems, reporting explicitly on the forms of their differential operators (gradient, divergent, curl, Laplacian) and transformation matrices. The book is intended to guide the reader from mathematics, to physical descriptions, and ultimately to engineering applications, in order to demonstrate the effectiveness of applied mathematics when properly adapted to the real world. Though the book primarily addresses the needs of engineering researchers, it will also benefit graduate students.
This book is a step-by-step guide for instructors on how to teach a psychology research methods course at the undergraduate or graduate level. It provides various approaches for teaching the course including lecture topics, difficult concepts for students, sample labs, test questions, syllabus guides and policies, as well as a detailed description of the requirements for the final experimental paper. This book is also supplemented with anecdotes from the author's years of experience teaching research methods classes. Chapters in this book include information on how to deliver more effective lectures, issues you may encounter with students, examples of weekly labs, tips for teaching research methods online, and much more. This book is targeted towards the undergraduate or graduate professor who has either not yet taught research methods or who wants to improve his or her course. Using step by step directions, any teacher will be able to follow the guidelines found in this book that will help them succeed.How to Teach a Course in Research Methods for Psychology Students is a valuable resource for anyone teaching a quantitative research methods course at the college or university level.
This book introduces the reader to solving partial differential equations (PDEs) numerically using element-based Galerkin methods. Although it draws on a solid theoretical foundation (e.g. the theory of interpolation, numerical integration, and function spaces), the book's main focus is on how to build the method, what the resulting matrices look like, and how to write algorithms for coding Galerkin methods. In addition, the spotlight is on tensor-product bases, which means that only line elements (in one dimension), quadrilateral elements (in two dimensions), and cubes (in three dimensions) are considered. The types of Galerkin methods covered are: continuous Galerkin methods (i.e., finite/spectral elements), discontinuous Galerkin methods, and hybridized discontinuous Galerkin methods using both nodal and modal basis functions. In addition, examples are included (which can also serve as student projects) for solving hyperbolic and elliptic partial differential equations, including both scalar PDEs and systems of equations.
Approximation Methods in Engineering and Science covers fundamental and advanced topics in three areas: Dimensional Analysis, Continued Fractions, and Stability Analysis of the Mathieu Differential Equation. Throughout the book, a strong emphasis is given to concepts and methods used in everyday calculations. Dimensional analysis is a crucial need for every engineer and scientist to be able to do experiments on scaled models and use the results in real world applications. Knowing that most nonlinear equations have no analytic solution, the power series solution is assumed to be the first approach to derive an approximate solution. However, this book will show the advantages of continued fractions and provides a systematic method to develop better approximate solutions in continued fractions. It also shows the importance of determining stability chart of the Mathieu equation and reviews and compares several approximate methods for that. The book provides the energy-rate method to study the stability of parametric differential equations that generates much better approximate solutions. |
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