Mathematics Books

Book SynopsisTwo volume work containing a contemporary account on "Positivity in Algebraic Geometry". Both volumes also available as hardcover editions as Vols. 48 and 49 in the series "Ergebnisse der Mathematik und ihrer Grenzgebiete". A good deal of the material has not previously appeared in book form. Volume II is more at the research level and somewhat more specialized than Volume I. Volume II contains a survey of positivity for vector bundles, and moves on to a systematic development of the theory of multiplier ideals and their applications. Contains many concrete examples, applications, and pointers to further developmentsTrade ReviewFrom the reviews: "The main theme of this ... monograph is a comprehensive description of the fields of complex algebraic geometry connected with the notion of positivity. ... The book is written for mathematicians interested in the modern development of algebraic geometry." (EMS Newsletter, September, 2006)Table of ContentsNotation and Conventions.- Two: Positivity for Vector Bundles.- 6 Ample and Nef Vector Bundles.- 6.1 Classical Theory.- 6.1.A Definition and First Properties.- 6.1.B Cohomological Properties.- 6.1.C Criteria for Amplitude.- 6.1.D Metric Approaches to Positivity of Vector Bundles.- 6.2 Q-Twisted and Nef Bundles.- 6.2.A Twists by Q-Divisors.- 6.2.B Nef Bundles.- 6.3 Examples and Constructions.- 6.3.A Normal and Tangent Bundles.- 6.3.B Ample Cotangent Bundles and Hyperbolicity.- 6.3.C Picard Bundles.- 6.3.D The Bundle Associated to a Branched Covering.- 6.3.E Direct Images of Canonical Bundles.- 6.3.F Some Constructions of Positive Vector Bundles.- 6.4 Ample Vector Bundles on Curves.- 6.4.A Review of Semistability.- 6.4.B Semistability and Amplitude.- Notes.- 7 Geometric Properties of Ample Bundles.- 7.1 Topology.- 7.1.A Sommese’s Theorem.- 7.1.B Theorem of Bloch and Gieseker.- 7.1.C A Barth-Type Theorem for Branched Coverings.- 7.2 Degeneracy Loci.- 7.2.A Statements and First Examples.- 7.2.B Proof of Connectedness of Degeneracy Loci.- 7.2.C Some Applications.- 7.2.D Variants and Extensions.- 7.3 Vanishing Theorems.- 7.3.A Vanishing Theorems of Griffiths and Le Potier.- 7.3.B Generalizations.- Notes.- 8 Numerical Properties of Ample Bundles.- 8.1 Preliminaries from Intersection Theory.- 8.1.A Chern Classes for Q-Twisted Bundles.- 8.1.B Cone Classes.- 8.1.C Cone Classes for Q-Twists.- 8.2 Positivity Theorems.- 8.2.A Positivity of Chern Classes.- 8.2.B Positivity of Cone Classes.- 8.3 Positive Polynomials for Ample Bundles.- 8.4 Some Applications.- 8.4.A Positivity of Intersection Products.- 8.4.B Non-Emptiness of Degeneracy Loci.- 8.4.C Singularities of Hypersurfaces Along a Curve.- Notes.- Three: Multiplier Ideals and Their Applications.- 9 Multiplier Ideal Sheaves.- 9.1 Preliminaries.- 9.1.A Q-Divisors.- 9.1.B Normal Crossing Divisors and Log Resolutions.- 9.1.C The Kawamata—Viehweg Vanishing Theorem.- 9.2 Definition and First Properties.- 9.2.A Definition of Multiplier Ideals.- 9.2.B First Properties.- 9.3 Examples and Complements.- 9.3.A Multiplier Ideals and Multiplicity.- 9.3.B Invariants Arising from Multiplier Ideals.- 9.3.C Monomial Ideals.- 9.3.D Analytic Construction of Multiplier Ideals.- 9.3.E Adjoint Ideals.- 9.3.F Multiplier and Jacobian Ideals.- 9.3.G Multiplier Ideals on Singular Varieties.- 9.4 Vanishing Theorems for Multiplier Ideals.- 9.4.A Local Vanishing for Multiplier Ideals.- 9.4.B The Nadel Vanishing Theorem.- 9.4.C Vanishing on Singular Varieties.- 9.4.D Nadel’s Theorem in the Analytic Setting.- 9.4.E Non-Vanishing and Global Generation.- 9.5 Geometric Properties of Multiplier Ideals.- 9.5.A Restrictions of Multiplier Ideals.- 9.5.B Subadditivity.- 9.5.C The Summation Theorem.- 9.5.D Multiplier Ideals in Families.- 9.5.E Coverings.- 9.6 Skoda’s Theorem.- 9.6.A Integral Closure of Ideals.- 9.6.B Skoda’s Theorem: Statements.- 9.6.C Skoda’s Theorem: Proofs.- 9.6.D Variants.- Notes.- 10 Some Applications of Multiplier Ideals.- 10.1 Singularities.- 10.1.A Singularities of Projective Hypersurfaces.- 10.1.B Singularities of Theta Divisors.- 10.1.C A Criterion for Separation of Jets of Adjoint Series.- 10.2 Matsusaka’s Theorem.- 10.3 Nakamaye’s Theorem on Base Loci.- 10.4 Global Generation of Adjoint Linear Series.- 10.4.A Fujita Conjecture and Angehrn—Siu Theorem.- 10.4.B Loci of Log-Canonical Singularities.- 10.4.C Proof of the Theorem of Angehrn and Siu.- 10.5 The Effective Nullstellensatz.- Notes.- 11 Asymptotic Constructions.- 11.1 Construction of Asymptotic Multiplier Ideals.- 11.1.A Complete Linear Series.- 11.1.B Graded Systems of Ideals and Linear Series.- 11.2 Properties of Asymptotic Multiplier Ideals.- 11.2.A Local Statements.- 11.2.B Global Results.- 11.2.C Multiplicativity of Plurigenera.- 11.3 Growth of Graded Families and Symbolic Powers.- 11.4 Fujita’s Approximation Theorem.- 11.4.A Statement and First Consequences.- 11.4.B Proof of Fujita’s Theorem.- 11.4.C The Dual of the Pseudoeffective Cone.- 11.5.- Notes.- References.- Glossary of Notation.

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Book SynopsisThis introduction can be used, at the beginning graduate level, for a one-semester course on probability theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as finance theory, electrical engineering, and operations research. The text covers the essentials in a directed and lean way with 28 short chapters, and assumes only an undergraduate background in mathematics. Readers are taken right up to a knowledge of the basics of Martingale Theory, and the interested student will be ready to continue with the study of more advanced topics, such as Brownian Motion and Ito Calculus, or Statistical Inference.Trade Review"(The book is) a lean and largely self-contained introduction to the modern theory of probability, aimed at advanced undergraduate or beginning graduate students. The 28 short chapters belie the book's genesis as polished lecture notes; the exposition is sleek and rigorous and each chapter ends with a supporting collection of mainly routine exercises. ... The authors make it clear what luggage is required for this exhilarating trek,... a good knowledge of advanced calculus, some linear algebra, and some "mathematical sophistication". With this understood, the itinerary is immaculately paced and planned with just the right balances of technical ascents and pauses to admire the scenery. Within the constraints of a slim volume, it is hard to imagine how the authors could have done a more effective or more attractive job." The Mathematical Gazette, Vol. 84, No 500, 2000 "The authors provide the shortest path through the twenty-eight chapter headings. The topics are treated in a mathematically and pedagogically digestible way. The writing is concise and crisp: the average chapter length is about eight pages. ... Numerous exercises add to the value of the text as a teaching tool. In conclusion, this is an excellent text for the intended audience."Short Book Reviews, Vol. 21, No. 2, 2001Table of Contents1. Introduction 2. Axioms of Probability 3. Conditional Probability and Independence 4. Probabilities on a Countable Space 5. Random Variables on a Countable Space 6. Construction of a Probability Measure 7. Construction of a Probability Measure on R 8. Random Variables 9. Integration with Respect to a Probability Measure 10. Independent Random Variables 11. Probability Distributions on R 12. Probability Distributions on Rn 13. Characteristic Functions 14. Properties of Characteristic Functions 15. Sums of Independent Random Variables 16. Gaussian Random Variables (The Normal and the Multivariate Normal Distributions) 17. Convergence of Random Variables 18. Weak Convergence 19. Weak Convergence and Characteristic Functions 20. The Laws of Large Numbers 21. The Central Limit Theorem 22. L2 and Hilbert Spaces 23. Conditional Expectation 24. Martingales 25. Supermartingales and Submartingales 26. Martingale Inequalities 27. Martingales Convergence Theorems 28. The Radon-Nikodym Theorem

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Book SynopsisThis book provides a tour of the principal areas and methods of modern differential geometry. Beginning at the introductory level with curves in Euclidian space, the sections become more challenging, arriving finally at the advanced topics that form the greatest part of the book: transformation groups, the geometry of differential equations, geometric structures, the equivalence problem, the geometry of elliptic operators.Table of Contents1. Introduction: A Metamathematical View of Differential Geometry.- 2. The Geometry of Surfaces.- 3. The Field Approach of Riemann.- 4. The Group Approach of Lie and Klein. The Geometry of Transformation Groups.- 5. The Geometry of Differential Equations.- 6. Geometric Structures.- 7. The Equivalence Problem, Differential Invariants and Pseudogroups.- 8. Global Aspects of Differential Geometry.- Commentary on the References.- References.- Author Index.

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Book SynopsisThe main goal of the CIME Summer School on "Algebraic Cycles and Hodge Theory" has been to gather the most active mathematicians in this area to make the point on the present state of the art. Thus the papers included in the proceedings are surveys and notes on the most important topics of this area of research. They include infinitesimal methods in Hodge theory; algebraic cycles and algebraic aspects of cohomology and k-theory, transcendental methods in the study of algebraic cycles.Table of ContentsContents: M. Green: Infinitesimal methods in Hodge theory.- J.P. Murre: Algebraic cycles and algebraic aspects of cohomology and k-theory.- C. Voisin: Transcendental methods in the study of algebraic cycles.- P. Pirola: The infinitesimal invariant of C(+)-C(-).- B. van Geemen: An introduction to the Hodge conjecture for abelian varieties.- S. Müller-Stach: A remark on height pairings.

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Book Synopsis1. People were already interested in prime numbers in ancient times, and the first result concerning the distribution of primes appears in Euclid's Elemen­ ta, where we find a proof of their infinitude, now regarded as canonical. One feels that Euclid's argument has its place in The Book, often quoted by the late Paul ErdOs, where the ultimate forms of mathematical arguments are preserved. Proofs of most other results on prime number distribution seem to be still far away from their optimal form and the aim of this book is to present the development of methods with which such problems were attacked in the course of time. This is not a historical book since we refrain from giving biographical details of the people who have played a role in this development and we do not discuss the questions concerning why each particular person became in­ terested in primes, because, usually, exact answers to them are impossible to obtain. Our idea is to present the development of the theory of the distribu­ tion of prime numbers in the period starting in antiquity and concluding at the end of the first decade of the 20th century. We shall also present some later developments, mostly in short comments, although the reader will find certain exceptions to that rule. The period of the last 80 years was full of new ideas (we mention only the applications of trigonometrical sums or the advent of various sieve methods) and certainly demands a separate book.Trade Review“This is a most welcome addition to the literature on prime numbers, zeta and L-functions and arithmetical functions. … The style is clear, with just the right amount of details. Each chapter closes with carefully chosen Exercises. Novices and experts alike will find that this a book of highest quality, which sets a standard for future works dealing with the history of Mathematics.” (A.Ivić, zbMATH 0942.11002, 2021)Table of Contents1. Early Times.- 2. Dirichlet’s Theorem on Primes in Arithmetic Progressions.- 3. ?ebysev’s Theorem.- 4. Riemann’s Zeta-function and Dirichlet Series.- 5. The Prime Number Theorem.- 6. The Turn of the Century.- References.- Author Index.

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Book SynopsisSince the early 70's, mixed finite elements have been the object of a wide and deep study by the mathematical and engineering communities. The fundamental role of this method for many application fields has been worldwide recognized and its use has been introduced in several commercial codes. An important feature of mixed finite elements is the interplay between theory and application. Discretization spaces for mixed schemes require suitable compatibilities, so that simple minded approximations generally do not work and the design of appropriate stabilizations gives rise to challenging mathematical problems. This volume collects the lecture notes of a C.I.M.E. course held in Summer 2006, when some of the most world recognized experts in the field reviewed the rigorous setting of mixed finite elements and revisited it after more than 30 years of practice. Applications, in this volume, range from traditional ones, like fluid-dynamics or elasticity, to more recent and active fields, like electromagnetism.Table of ContentsMixed Finite Element Methods.- Finite Elements for the Stokes Problem.- Polynomial Exact Sequences and Projection-Based Interpolation with Application to Maxwell Equations.- Finite Element Methods for Linear Elasticity.- Finite Elements for the Reissner–Mindlin Plate.

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Book SynopsisThe main theme is the integration of the theory of linear PDE and the theory of finite difference and finite element methods. For each type of PDE, elliptic, parabolic, and hyperbolic, the text contains one chapter on the mathematical theory of the differential equation, followed by one chapter on finite difference methods and one on finite element methods. The chapters on elliptic equations are preceded by a chapter on the two-point boundary value problem for ordinary differential equations. Similarly, the chapters on time-dependent problems are preceded by a chapter on the initial-value problem for ordinary differential equations. There is also one chapter on the elliptic eigenvalue problem and eigenfunction expansion. The presentation does not presume a deep knowledge of mathematical and functional analysis. The required background on linear functional analysis and Sobolev spaces is reviewed in an appendix. The book is suitable for advanced undergraduate and beginning graduate students of applied mathematics and engineering.Trade ReviewFrom the reviews:"The book under review is an introduction to the field of linear partial differential equations and to standard methods for their numerical solution. … The balanced combination of mathematical theory with numerical analysis is an essential feature of the book. … The book is easily accessible and concentrates on the main ideas while avoiding unnecessary technicalities. It is therefore well suited as a textbook for a beginning graduate course in applied mathematics." (A. Ostermann, IMN - Internationale Mathematische Nachrichten, Vol. 59 (198), 2005)"This book, which is aimed at beginning graduate students of applied mathematics and engineering, provides an up to date synthesis of mathematical analysis, and the corresponding numerical analysis, for elliptic, parabolic and hyperbolic partial differential equations. … This widely applicable material is attractively presented in this impeccably well-organised text. … Partial differential equations with numerical methods covers a lot of ground authoritatively and without ostentation and with a constant focus on the needs of practitioners." (Nick Lord, The Mathematical Gazette, March, 2005)"Larsson and Thomée … discuss numerical solution methods of linear partial differential equations. They explain finite difference and finite element methods and apply these concepts to elliptic, parabolic, and hyperbolic partial differential equations. … The text is enhanced by 13 figures and 150 problems. Also included are appendixes on mathematical analysis preliminaries and a connection to numerical linear algebra. Summing Up: Recommended. Upper-division undergraduates through faculty." (D. P. Turner, CHOICE, March, 2004)"This book presents a very well written and systematic introduction to the finite difference and finite element methods for the numerical solution of the basic types of linear partial differential equations (PDE). … the book is very well written, the exposition is clear, readable and very systematic." (Emil Minchev, Zentralblatt MATH, Vol. 1025, 2003)"The author’s purpose is to give an elementary, relatively short, and readable account of the basic types of linear partial differential equations, their properties, and the most commonly used methods for their numerical solution. … We warmly recommend it to advanced undergraduate and beginning graduate students of applied mathematics and/or engineering at every university of the world." (Ferenc Móricz, Acta Scientiarum Mathematicarum, Vol. 71, 2005)"The presentation of the book is smart and very classical; it is more a reference book for applied mathematicians … . The convergence results, error estimates, variation formulations, all the theorems proofs, are very clear and well presented, the annexes A and B summary the necessary background for the understanding, without redundant generalisation or forgotten matter. The bibliography is presented by theme, well targeted on the topic of the book." (Anne Lemaitre, Physicalia Magazine, Vol. 28 (1), 2006)“Offers basic theory of linear partial differential equations and discusses the most commonly used numerical methods to solve these equations. … There are two appendices providing some extra basic material, useful to help understanding some of the theoretical principles that might be unfamiliar to unexperienced readers and students. The text is elementary and meant for students in mathematics, physics, engineering. … The bibliography is well arranged according to the important issues, which makes it easy to get informed about possible references for further study.” (Paula Bruggen, Bulletin of the Belgian Mathematical Society, Vol. 15 (1), 2008)Table of ContentsA Two-Point Boundary Value Problem.- Elliptic Equations.- Finite Difference Methods for Elliptic Equations.- Finite Element Methods for Elliptic Equations.- The Elliptic Eigenvalue Problem.- Initial-Value Problems for Ordinary Differential Equations.- Parabolic Equations.- Finite Difference Methods for Parabolic Problems.- The Finite Element Method for a Parabolic Problem.- Hyperbolic Equations.- Finite Difference Methods for Hyperbolic Equations.- The Finite Element Method for Hyperbolic Equations.- Some Other Classes of Numerical Methods.

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Book SynopsisThe most important aspects of modern surface science are covered. All topics are presented in a concise and clear form accessible to a beginner. At the same time, the coverage is comprehensive and at a high technical level, with emphasis on the fundamental physical principles. Numerous examples, references, practice exercises, and problems complement this remarkably complete treatment, which will also serve as an excellent reference for researchers and practitioners. The textbook is idea for students in engineering and physical sciences. Trade ReviewFrom the reviews: PHYSICS TODAY, OCTOBER 2004 Review by John T. Yates Jr., University of Pittsburgh "Surface Science: An Introduction is an excellent book that reviews many of the centrally important features of this interdisciplinary field. … The text is smoothly written and interesting. Readers will be immediately impressed by the quality and number of figures (372 in all) used to tell the story. Surface Science is designed for advanced undergraduate or graduate students in the engineering and physical sciences. It also serves as an introduction for researchers entering the field. Many earlier surface-science textbooks have concentrated on the experimental techniques used for measurements in the field. Surface Science also describes numerous experimental methods, but its main focus is on the concepts central to the field. After the introduction, the book presents an excellent chapter on two-dimensional crystallography; a chapter on experimental background follows, and the book then progresses through four chapters on surface analysis--from diffraction to electron spectroscopy, ion probes, and microscopy. The book proceeds to atomic and electronic structure of surfaces. The final four chapters discuss surfaces containing adsorbed atoms or molecules; topics include adsorption, desorption, surface diffusion, thin film behavior, and nanostructures on surfaces. … I like the book because of its clarity and compactness. Each chapter presents a few exercises that will serve well in the classroom. … Surface Science is a good resource for the student who is introduced to the field for the first time." "The book is designed as textbook for students in engineering and physical sciences. … All topics are presented in a concise and clear form accessible to a beginner. At the same time, the coverage is comprehensive and at a high technical level, with emphasis on the fundamental physical principles. Numerous examples, references, practice exercises, and problems complement this remarkably complete treatment, which will also serve as an excellent reference for researchers and practitioners." (Aluminium, Vol. 81 (4), 2005) "Surface Science: An Introduction is an excellent book that reviews many of the centrally important features of this interdisciplinary field. … Readers will be immediately impressed by the quality and number of figures (372 in all) used to tell the story. … I like the book because of its clarity and compactness. … Surface Science is a good resource for the student who is introduced to the field for the first time." (John T. Yates Jr, Physics Today, October, 2004) "The whole book is easy to read and well-structured. The explanations and descriptions are clear and logical. Many examples taken from literature illustrate the content. … the book is a successful attempt to provide a comprehensive introduction into various aspects of surface science. It can be recommended to all readers wishing to get an insight into the experimental background as well as its scientific scope ranging from basic concepts to current research." (Marcus Bäumer, ChemPhysChem, Vol. 5 (3), 2004)Table of Contents1. Introduction.- 2. Basics of Two-Dimensional Crystallography.- 3. Experimental Background.- 4. Surface Analysis I. Diffraction Methods.- 5. Surface Analysis II. Electron Spectroscopy Methods.- 6. Surface Analysis III. Probing Surfaces with Ions.- 7. Surface Analysis IV. Microscopy.- 8. Atomic Structure of Clean Surfaces.- 9. Atomic Structure of Surfaces with Adsorbates.- 10. Structural Defects at Surfaces.- 11. Electronic Structure of Surfaces.- 12. Elementary Processes at Surfaces I. Adsorption and Desorption.- 13. Elementary Processes at Surfaces II. Surface Diffusion.- 14. Growth of Thin Films.- 15. Atomic Manipulations and Nanostructure Formation.- References.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisFrom the reviews: "The account is quite detailed and is written in a manner that will appeal to analysts and numerical practitioners alike...they contain everything from rigorous proofs to tables of numerical calculations.... one of the strong features of these books...that they are designed not for the expert, but for those who whish to learn the subject matter starting from little or no background...there are numerous examples, and counter-examples, to back up the theory...To my knowledge, no other authors have given such a clear geometric account of convex analysis." "This innovative text is well written, copiously illustrated, and accessible to a wide audience"Trade ReviewFrom the reviews: "The account is quite detailed and is written in a manner that will appeal to analysts and numerical practitioners alike...they contain everything from rigorous proofs to tables of numerical calculations.... one of the strong features of these books. . . [is] that they are designed not for the expert, but for those who wish to learn the subject matter starting from little or no background...there are numerous examples, and counter-examples, to back up the theory...To my knowledge, no other authors have given such a clear geometric account of convex analysis." "This innovative text is well written, copiously illustrated, and accessible to a wide audience"Table of ContentsIX. Inner Construction of the Subdifferential.- X. Conjugacy in Convex Analysis.- XI. Approximate Subdifferentials of Convex Functions.- XII. Abstract Duality for Practitioners.- XIII. Methods of ?-Descent.- XIV. Dynamic Construction of Approximate Subdifferentials: Dual Form of Bundle Methods.- XV. Acceleration of the Cutting-Plane Algorithm: Primal Forms of Bundle Methods.- Bibliographical Comments.- References.

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Book SynopsisThe application of modern methods in numerical mathematics on problems in chemical engineering is essential for designing, analyzing and running chemical processes and even entire plants. Scientific Computing in Chemical Engineering II gives the state of the art from the point of view of numerical mathematicians as well as that of engineers.The present volume as part of a two-volume edition covers topics such as computer-aided process design, combustion and flame, image processing, optimization, control, and neural networks. The volume is aimed at scientists, practitioners and graduate students in chemical engineering, industrial engineering and numerical mathematics.Table of ContentsInvited Presentations.- Combustion and Flame.- Computer Aided Process Design.- Control.- Image Processing.- Optimization.- Neural Network.

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Book SynopsisIn the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential equations to make the book even more valuable for practitioners.Trade ReviewFrom the reviews of the fourth edition:“This is the fourth edition of a textbook intended for everyone interested in practising stochastic processes. … this fourth one is ‘thoroughly revised and augmented, and has been completely reset. … this new edition is designed to cater better for the wider readership as well as to those [he] originally had in mind’. … The bibliography is well presented, with a list of the references cited in each chapter, a commented global bibliography and an author index.” (Yves Elskens, Belgian Physical Society Magazine, Issue 2, 2012)Table of ContentsA Historical Introduction.- Probability Concepts.- Markov Processes.- The Ito Calculus and Stochastic Differential Equations.- The Fokker-Planck Equation.- The Fokker-Planck Equation in Several Dimensions.- Small Noise Approximations for Diffusion Processes.- The White Noise Limit.- Beyond the White Noise Limit.- Lévy Processes and Financial Applications.- Master Equations and Jump Processes.- The Poisson Representation.- Spatially Distributed Systems.- Bistability, Metastability, and Escape Problems.- Simulation of Stochastic Differential Equations.

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Book SynopsisM. Brelot: Historical introduction.- H. Bauer: Harmonic spaces and associated Markov processes.- J.M. Bony: Opérateurs elliptiques dégénérés associés aux axiomatiques de la theorie du potentiel.- J. Deny: Méthodes hilbertiennes en theory du potentiel.- J.L. Doob: Martingale theory – Potential theory.- G. Mokobodzki: Cônes de potentiels et noyaux subordonnés.Table of ContentsM. Brelot: Historical introduction.- H. Bauer: Harmonic spaces and associated Markov processes.- J.M. Bony: Opérateurs elliptiques dégénérés associés aux axiomatiques de la theorie du potentiel.- J. Deny: Méthodes hilbertiennes en theory du potentiel.- J.L. Doob: Martingale theory – Potential theory.- G. Mokobodzki: Cônes de potentiels et noyaux subordonnés.

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Book SynopsisIncidence geometry is a central part of modern mathematics that has an impressive tradition. The main topics of incidence geometry are projective and affine geometry and, in more recent times, the theory of buildings and polar spaces.Embedded into the modern view of diagram geometry, projective and affine geometry including the fundamental theorems, polar geometry including the Theorem of Buekenhout-Shult and the classification of quadratic sets are presented in this volume. Incidence geometry is developed along the lines of the fascinating work of Jacques Tits and Francis Buekenhout.The book is a clear and comprehensible introduction into a wonderful piece of mathematics. More than 200 figures make even complicated proofs accessible to the reader.Trade Review“This book provides an introduction into projective and affine spaces as well as polar spaces in the modern language of diagram geometry. … The book is well written and contains many enlightning pictures. It is mainly directed to students.” (Hans Cuypers, Nieuw Archief voor Wiskunde, Issue 4, December, 2015)“The book under review is a comprehensive monograph devoted to the foundations of incidence geometry … . a clear and good introduction for graduate students who want to learn about modern geometry and is also useful for lecturers who offer courses on this topic. The book may also be of interest for researchers because it contains several results which were previously only available in the original research articles. … At the end of the book the author gives some hints about further reading too.” (Gyӧrgy Kiss, Mathematical Reviews, November, 2013)“The book contains almost all classical results from projective geometry. It is written in a readable style. Especially the first two chapters can be recommended to those who are interested in a synthetic treatment of projective geometry.” (Boris Odehnal, Zentralblatt MATH, Vol. 1237, 2012)Table of ContentsI Projective and Affine Geometries.- 1. Introduction.- 2. Geometries and Pregeometries.- 3. Projective and Affine Planes.- 4. Projective Spaces.- 5. Affine Spaces.- 6. A Characterization of Affine Spaces.- 7. Residues and Diagrams.- 8. Finite geometries.- II Isomorphisms and Collineations.- 1. Introduction.- 2. Morphisms.- 3. Projections.- 4. Collineations of projective and affine spaces.- 5. Central Collineations.- 6. The Theorem of Desargues.- III Projective Geometry over a Vector Space.- 1. Introduction.- 2. The Projective Space P(V).- 3. Homogeneous Coordinates of Projective Spaces.- 4. Automorphisms of P(V).- 5. The Affine Space AG(W).- 6. Automorphisms of A(W).- 7. The First Fundamental Theorem.- 8. The Second Fundamental Theorem.- IV Polar Spaces and Polarities.- 1. Introduction.- 2. The Theorem of Buekenhout-Shult.- 3. The diagram of a polar space.- 4. Polarities.- 5. Sesquilinear Forms.- 6. Pseudo-quadrics.- 7. The Kleinian Polar Space.- 8. The Theorem of Buekenhout and Parmentier.- V Quadrics and Quadratic Sets.- 1. Introduction.- 2. Quadratic Sets.- 3. Quadrics.- 4. Quadratic Sets in PG(3, K).- 5. Perspective Quadratic Sets.- 6. Classification of the Quadratic Sets.- 7. The Kleinian Quadric.- 8. The Theorem of Segre.- 9. Further Reading.- References.- Index.

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Book SynopsisIt was the end of 2005 when our employer, a major European Investment Bank, gave our team the mandate to compute in an accurate way the counterparty credit exposure arising from exotic derivatives traded by the ?rm. As often happens, - posure of products such as, for example, exotic interest-rate, or credit derivatives were modelled under conservative assumptions and credit of?cers were struggling to assess the real risk. We started with a few models written on spreadsheets, t- lored to very speci?c instruments, and soon it became clear that a more systematic approach was needed. So we wrote some tools that could be used for some classes of relatively simple products. A couple of years later we are now in the process of building a system that will be used to trade and hedge counterparty credit ex- sure in an accurate way, for all types of derivative products in all asset classes. We had to overcome problems ranging from modelling in a consistent manner different products booked in different systems and building the appropriate architecture that would allow the computation and pricing of credit exposure for all types of pr- ucts, to ?nding the appropriate management structure across Business, Risk, and IT divisions of the ?rm. In this book we describe some of our experience in modelling counterparty credit exposure, computing credit valuation adjustments, determining appropriate hedges, and building a reliable system.Table of ContentsMethodology.- Modelling Framework.- Simulation Models.- Valuation and Sensitivities.- Architecture and Implementation.- Computational Framework.- Implementation.- Architecture.- Products.- Interest-Rate Products.- Equity, Commodity, Inflation and FX Products.- Credit Derivatives.- Structures.- Hedging and Managing Counterparty Risk.- Counterparty Risk Aggregation and Risk Mitigation.- Combining Market and Credit Risk.- Pricing Counterparty Credit Risk.

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Book SynopsisThis book gives an introduction to the finite element method as a general computational method for solving partial differential equations approximately. Our approach is mathematical in nature with a strong focus on the underlying mathematical principles, such as approximation properties of piecewise polynomial spaces, and variational formulations of partial differential equations, but with a minimum level of advanced mathematical machinery from functional analysis and partial differential equations. In principle, the material should be accessible to students with only knowledge of calculus of several variables, basic partial differential equations, and linear algebra, as the necessary concepts from more advanced analysis are introduced when needed. Throughout the text we emphasize implementation of the involved algorithms, and have therefore mixed mathematical theory with concrete computer code using the numerical software MATLAB is and its PDE-Toolbox. We have also had the ambition to cover some of the most important applications of finite elements and the basic finite element methods developed for those applications, including diffusion and transport phenomena, solid and fluid mechanics, and also electromagnetics.​ Trade ReviewFrom the reviews:“The authors give an introduction to the finite element method as a general computational method for solving partial differential equations (PDEs) approximately. … The book should be accessible to students with only knowledge of calculus of several variables, basic partial differential equations, and linear algebra, as the necessary concepts from more advanced analysis are introduced when needed.” (Răzvan Răducanu, Zentralblatt MATH, Vol. 1263, 2013)Table of Contents1. Piecewise Polynomial Approximation in 1D.- 2. The Finite Element Method in 1D.- 3. Piecewise Polynomial Approximation in 2D.- 4. The Finite Element Method in 2D.- 5. Time-dependent Problems.- 6. Solving Large Sparse Linear Systems.- 7. Abstract Finite Element Analysis.- 8. The Finite Element.- 9. Non-linear Problems.- 10. Transport Problems.- 11. Solid Mechanics.- 12. Fluid Mechanics.- 13. Electromagnetics.- 14. Discontinuous Galerkin Methods.- A. Some Additional Matlab Code.- References.

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Book SynopsisThis book is a collection of state-of-the-art papers on the properties of business cycles and financial analysis. The individual contributions cover new advances in Markov-switching models with applications to business cycle research and finance. The introduction surveys the existing methods and new results of the last decade. Individual chapters study features of the U. S. and European business cycles with particular focus on the role of monetary policy, oil shocks and co­ movements among key variables. The short-run versus long-run consequences of an economic recession are also discussed. Another area that is featured is an extensive analysis of currency crises and the possibility of bubbles or fads in stock prices. A concluding chapter offers useful new results on testing for this kind of regime-switching behaviour. Overall, the book provides a state-of-the-art over­ view of new directions in methods and results for estimation and inference based on the use of Markov-switching time-series analysis. A special feature of the book is that it includes an illustration of a wide range of applications based on a common methodology. It is expected that the theme of the book will be of particular interest to the macroeconomics readers as well as econometrics professionals, scholars and graduate students. We wish to express our gratitude to the authors for their strong contributions and the reviewers for their assistance and careful attention to detail in their reports.Table of ContentsI Introduction and Overview.- New directions in business cycle research and financial analysis.- II The Business Cycle in the U.S..- Permanent and transitory components of recessions.- Can oil shocks explain asymmetries in the US Business Cycle?.- Markov switching in disaggregate unemployment rates.- III The Business Cycle in Other Countries.- A Markov-switching vector equilibrium correction model of the UK labour market.- Plucking models of business cycle fluctuations: Evidence from the G-7 countries.- IV Financial Applications.- Is there an asymmetric effect of monetary policy over time? A Bayesian analysis using Austrian data.- A regime-switching approach to the study of speculative attacks: A focus on EMS crises.- Fads or bubbles?.- Improving GARCH volatility forecasts with regime-switching GARCH.- V Methodological Contribution.- Power issues when testing the Markov switching model with the sup likelihood ratio test using U.S. Output.- List of Referees.

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Book SynopsisSince Additive Manufacturing (AM) techniques allow the manufacture of complex-shaped structures the combination of lightweight construction, topology optimization, and AM is of significant interest. Besides the established continuum topology optimization methods, less attention is paid to algorithm-driven optimization based on linear optimization, which can also be used for topology optimization of truss-like structures.To overcome this shortcoming, we combined linear optimization, Computer-Aided Design (CAD), numerical shape optimization, and numerical simulation into an algorithm-driven product design process for additively manufactured truss-like structures. With our Ansys SpaceClaim add-in construcTOR, which is capable of obtaining ready-for-machine-interpretation CAD data of truss-like structures out of raw mathematical optimization data, the high performance of (heuristic-based) optimization algorithms implemented in linear programming software is now available to the CAD community.Table of ContentsIntroduction.- Physical and Technical Background.- Optimization of Truss Structures.- Bridging Algorithm-Driven Truss Optimization and Additive Manufacturing.- Mixed-Integer Linear Programming for Truss Optimization.- CAD-Based Mathematical Optimization.- Computational Study.- Conclusion and Outlook.

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Book Synopsis

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Book SynopsisThis book presents the state-of-the-art in simulation on supercomputers. Leading researchers present results achieved on systems of the High Performance Computing Center Stuttgart (HLRS) for the year 2010. The reports cover all fields of computational science and engineering, ranging from CFD to computational physics and chemistry to computer science, with a special emphasis on industrially relevant applications. Presenting results for both vector systems and microprocessor-based systems, the book makes it possible to compare the performance levels and usability of various architectures. As HLRS operates the largest NEC SX-8 vector system in the world, this book gives an excellent insight into the potential of vector systems, covering the main methods in high performance computing. Its outstanding results in achieving the highest performance for production codes are of particular interest for both scientists and engineers. The book includes a wealth of color illustrations and tables.

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Book SynopsisThis book presents the state-of-the-art in simulation on supercomputers. Leading researchers present results achieved on systems of the High Performance Computing Center Stuttgart (HLRS) for the year 2012. The reports cover all fields of computational science and engineering ranging from CFD via computational physics and chemistry to computer science with a special emphasis on industrially relevant applications. Presenting results for both vector-systems and micro-processor based systems the book allows to compare performance levels and usability of various architectures. As HLRS operates not only a large cluster system but also one of the largest NEC vector systems in the world this book gives an excellent insight also into the potential of vector systems. The book covers the main methods in high performance computing. Its outstanding results in achieving highest performance for production codes are of particular interest for both the scientist and the engineer. The book comes with a wealth of coloured illustrations and tables of results. ​Table of Contents1. Physics.- 2. Solid State Physics.- 3. Reacting Flows.- 4. Computational Fluid Dynamics.- 5. Transport and Climate.- 6. Miscellaneous Topics.

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Table of ContentsInvited papers.- Discrete Differential Forms, Approximation of Eigenvalue Problems, and Application to the p Version of Edge Finite Elements.- Semi-Implicit DGFE Discretization of the Compressible Navier–Stokes Equations: Efficient Solution Strategy.- Some Numerical Approaches for Weakly Random Homogenization.- Goal Oriented, Anisotropic, A Posteriori Error Estimates for the Laplace Equation.- Contributed papers.- Energy Stability of the MUSCL Scheme.- Numerical Stabilization of the Melt Front for Laser Beam Cutting.- Numerical Optimization of a Bioreactor for the Treatment of Eutrophicated Water.- Finite Element Approximation of a Quasi-3D Model for Estuarian River Flows.- Convergence of a Mixed Discontinuous Galerkin and Finite Volume Scheme for the 3 Dimensional Vlasov–Poisson–Fokker–Planck System.- Infrastructure for the Coupling of Dune Grids.- FEM for Flow and Pollution Transport in a Street Canyon.- Stabilized Finite Element Methods with Shock-Capturing for Nonlinear Convection–Diffusion-Reaction Models.- Finite Element Discretization of the Giesekus Model for Polymer Flows.- A dG Method for the Strain-Rate Formulation of the Stokes Problem Related with Nonconforming Finite Element Methods.- Numerical Simulation of the Stratified Flow Past a Body.- A Flexible Updating Framework for Preconditioners in PDE-Based Image Restoration Algorithms.- Stabilized Finite Element Method for Compressible–Incompressible Diphasic Flows.- An Immersed Interface Technique for the Numerical Solution of the Heat Equation on a Moving Domain.- Lid-Driven-Cavity Simulations of Oldroyd-B Models Using Free-Energy-Dissipative Schemes.- Adaptive Multiresolution Simulation of Waves in Electrocardiology.- On the Numerical Approximation of the Laplace Transform Function from Real Samples and Its Inversion.- A Motion-Aided Ultrasound Image Sequence Segmentation.- A High Order Finite Volume Numerical Scheme for Shallow Water System: An Efficient Implementation on GPUs.- Spectral Analysis for Radial Basis Function Collocation Matrices.- Finite Element Solution of the Primitive Equations of the Ocean by the Orthogonal Sub-Scales Method.- Solution of Incompressible Flow Equations by a High-Order Term-by-Term Stabilized Method.- Solving Large Sparse Linear Systems Efficiently on Grid Computers Using an Asynchronous Iterative Method as a Preconditioner.- Hierarchical High Order Finite Element Approximation Spaces for H(div) and H(curl).- Some Theoretical Results About Stability for IMEX Schemes Applied to Hyperbolic Equations with Stiff Reaction Terms.- Stable Perfectly Matched Layers for the Schrödinger Equations.- Domain Decomposition Schemes for Frictionless Multibody Contact Problems of Elasticity.- Analysis and Acceleration of a Fluid-Structure Interaction Coupling Scheme.- Second Order Numerical Operator Splitting for 3D Advection–Diffusion-Reaction Models.- Space-Time DG Method for Nonstationary Convection–Diffusion Problems.- High Order Finite Volume Schemes for Numerical Solution of Unsteady Flows.- Multigrid Finite Element Method on Semi-Structured Grids for the Poroelasticity Problem.- A Posteriori Error Bounds for Discontinuous Galerkin Methods for Quasilinear Parabolic Problems.- An A Posteriori Analysis of Multiscale Operator Decomposition.- Goal-Oriented Error Estimation for the Discontinuous Galerkin Method Applied to the Biharmonic Equation.- Solving Stochastic Collocation Systems with Algebraic Multigrid.- Adaptive Two-Step Peer Methods for Incompressible Navier–Stokes Equations.- On Hierarchical Error Estimators for Time-Discretized Phase Field Models.- Nonlinear Decomposition Methods in Elastodynamics.- An Implementation Framework for Solving High-Dimensional PDEs on Massively Parallel Computers.- Benchmarking FE-Methods for the Brinkman Problem.- Finite Element Based Second Moment Analysis for Elliptic Problems in Stochastic Domains.- On Robust Parallel Preconditioning for Incompressible Flow Problems.- Hybrid Modeling of Plasmas.- A Priori Error Estimates for DGFEM Applied to Nonstationary Nonlinear Convection–Diffusion Equation.- Stable Crank–Nicolson Discretisation for Incompressible Miscible Displacement Problems of Low Regularity.- Simulations of 3D/4D Precipitation Processes in a Turbulent Flow Field.- 2D Finite Volume Lagrangian Scheme in Hyperelasticity and Finite Plasticity.- Local Projection Method for Convection-Diffusion-Reaction Problems with Projection Spaces Defined on Overlapping Sets.- Numerical Solution of Volterra Integral Equations with Weak Singularities.- Non-Conforming Finite Element Method for the Brinkman Problem.- Error Control for Simulations of a Dissociative Quantum System.- A Comparison of Simplicial and Block Finite Elements.- Five-Dimensional Euclidean Space Cannot be Conformly Partitioned into Acute Simplices.- The Discontinuous Galerkin Method for Convection-Diffusion Problems in Time-Dependent Domains.- A Spectral Time-Domain Method for Computational Electrodynamics.- Numerical Simulation of Fluid–Structure Interaction in Human Phonation: Application.- Error Estimation and Anisotropic Mesh Refinement for Aerodynamic Flow Simulations.- A MHD Problem on Unbounded Domains: Coupling of FEM and BEM.- A Stable and High Order Interface Procedure for Conjugate Heat Transfer Problems.- Local Time-Space Mesh Refinement for Finite Difference Simulation of Waves.- Formulation of a Staggered Two-Dimensional Lagrangian Scheme by Means of Cell-Centered Approximate Riemann Solver.- Optimal Control for River Pollution Remediation.- An Anisotropic Micro-Sphere Approach Applied to the Modelling of Soft Biological Tissues.- Anisotropic Adaptation via a Zienkiewicz–Zhu Error Estimator for 2D Elliptic Problems.- On a Sediment Transport Model in Shallow Water Equations with Gravity Effects.- Adaptive SQP Method for Shape Optimization.- Convergence of Path-Conservative Numerical Schemes for Hyperbolic Systems of Balance Laws.- A Two-Level Newton–Krylov–Schwarz Method for the Bidomain Model of Electrocardiology.- On a Shallow Water Model for Non-Newtonian Fluids.- On Stationary Viscous Incompressible Flow Through a Cascade of Profiles with the Modified Boundary Condition on the Outflow and Large Inflow.- Variational and Heterogeneous Multiscale Methods.- Discrete Dislocation Dynamics and Mean Curvature Flow.- Non-Symmetric Algebraic Multigrid Preconditioners for the Bidomain Reaction–Diffusion system.- Efficiency of Shock Capturing Schemes for Burgers’ Equation with Boundary Uncertainty.- FEM Techniques for the LCR Reformulation of Viscoelastic Flow Problems.- A Posteriori Estimates for Variational Inequalities.- Review on Longest Edge Nested Algorithms.- Simulation of Spray Painting in Automotive Industry.- Numerical Simulation of the Electrohydrodynamic Generation of Droplets by the Boundary Element Method.- A General Pricing Technique Based on Theta-Calculus and Sparse Grids.- A Posteriori Error Estimation in Mixed Finite Element Methods for Signorini’s Problem.- Solution of an Inverse Problem for a 2-D Turbulent Flow Around an Airfoil.- On Skew-Symmetric Splitting and Entropy Conservation Schemes for the Euler Equations.- Ideal Curved Elements and the Discontinuous Galerkin Method.- Analysis of the Parallel Finite Volume Solver for the Anisotropic Allen–Cahn Equation in 3D.- Stabilized Finite Element Approximations of Flow Over a Self-Oscillating Airfoil.- Multigrid Methods for Elliptic Optimal Control Problems with Neumann Boundary Control.- Extension of the Complete Flux Scheme to Time-Dependent Conservation Laws.- Solution of Navier–Stokes Equations Using FEM with Stabilizing Subgrid.- Multigrid Methods for Control-Constrained Elliptic Optimal Control Problems.- Modelling the New Soil Improvement Method Biogrout: Extension to 3D.- Angle Conditions for Discrete Maximum Principles in Higher-Order FEM.- Unsteady High Order Residual Distribution Schemes with Applications to Linearised Euler Equations.- Implicit–Explicit Backward Difference Formulae Discontinuous Galerkin Finite Element Methods for Convection–Diffusion Problems.- A Cut-Cell Finite-Element Method for a Discontinuous Switch Model for Wound Closure.

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Book SynopsisThis book offers an easily accessible and comprehensive guide to the entire market research process, from asking market research questions to collecting and analyzing data by means of quantitative methods. It is intended for all readers who wish to know more about the market research process, data management, and the most commonly used methods in market research. The book helps readers perform analyses, interpret the results, and make sound statistical decisions using IBM SPSS Statistics. Hypothesis tests, ANOVA, regression analysis, principal component analysis, factor analysis, and cluster analysis, as well as essential descriptive statistics, are covered in detail. Highly engaging and hands-on, the book includes many practical examples, tips, and suggestions that help readers apply and interpret the data analysis methods discussed. The new edition uses IBM SPSS version 25 and offers the following new features:A single case and dataset used throughout the book to facilitate learningNew material on survey design and all data analysis methods to reflect the latest advances concerning each topic Improved use of educational elements, such as learning objectives, keywords, self-assessment tests, case studies, and much more A glossary that includes definitions of all the keywords and other descriptions of selected topics Links to additional material and videos via the Springer Multimedia App Table of ContentsIntroduction to Market Reseach.- The Market Research Process.- Data.- Getting Data.- Descriptive Statistics.- Hypothesis Testing & ANOVA.- Regression Analysis.- Principal Component and Factor Analysis.-Cluster Analysis.- Communicating the Results.

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Book SynopsisParameterized Complexity in the Polynomial Hierarchy was co-recipient of the E.W. Beth Dissertation Prize 2017 for outstanding dissertations in the fields of logic, language, and information. This work extends the theory of parameterized complexity to higher levels of the Polynomial Hierarchy (PH). For problems at higher levels of the PH, a promising solving approach is to develop fixed-parameter tractable reductions to SAT, and to subsequently use a SAT solving algorithm to solve the problem. In this dissertation, a theoretical toolbox is developed that can be used to classify in which cases this is possible. The use of this toolbox is illustrated by applying it to analyze a wide range of problems from various areas of computer science and artificial intelligence.Table of ContentsComplexity Theory and Non-determinism.- Parameterized Complexity Theory.- Fpt-Reducibility to SAT.- The Need for a New Completeness Theory.- A New Completeness Theory.- Fpt-algorithms with Access to a SAT Oracle.- Problems in Knowledge Representation and Reasoning.- Model Checking for Temporal Logics.- Problems Related to Propositional Satisfiability.- Problems in Judgment Aggregation.- Planning Problems.- Graph Problems.- Relation to Other Topics in Complexity Theory.- Subexponential-Time Reductions.- Non-Uniform Parameterized Complexity.- Open Problems and Future Research Directions.- Conclusion.- Compendium of Parameterized Problems.- Generalization to Higher Levels of the Polynomial Hierarchy.

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Book SynopsisThis book includes a novel motif discovery for time series, KITE (ill-Known motIf discovery in Time sEries data), to identify ill-known motifs transformed by affine mappings such as translation, uniform scaling, reflection, stretch, and squeeze mappings. Additionally, such motifs may be covered with noise or have variable lengths. Besides KITE’s contribution to motif discovery, new avenues for the signal and image processing domains are explored and created. The core of KITE is an invariant representation method called Analytic Complex Quad Tree Wavelet Packet transform (ACQTWP). This wavelet transform applies to motif discovery as well as to several signal and image processing tasks. The efficiency of KITE is demonstrated with data sets from various domains and compared with state-of-the-art algorithms, where KITE yields the best outcomes.Trade Review“The book under review provides one such vantage point, and anyone whose work involves finding patterns in large amounts of data should take heed. … For those well versed in the mathematics of harmonics and waves, the book should prove very useful in showing how these theories can be applied to data series. But even those who are not specialists in this area, such as myself, can still gain many ideas from this useful tome.” (Eugene Callahan, Computing Reviews, October 11, 2022)Table of ContentsIntroduction.- Preliminaries.- General Principles of Time Series Motif Discovery.- State of the Art in Time Series Motif Discovery.- Distortion-Invariant Motif Discovery.- Evaluation.- Conclusion and Outlook.- Appendices A-D.

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Book SynopsisThis lecture note provides a tutorial review of non-Abelian discrete groups and presents applications to particle physics where discrete symmetries constitute an important principle for model building. While Abelian discrete symmetries are often imposed in order to control couplings for particle physics—particularly model building beyond the standard model—non-Abelian discrete symmetries have been applied particularly to understand the three-generation flavor structure. The non-Abelian discrete symmetries are indeed considered to be the most attractive choice for a flavor sector: Model builders have tried to derive experimental values of quark and lepton masses, mixing angles and CP phases on the assumption of non-Abelian discrete flavor symmetries of quarks and leptons, yet lepton mixing has already been intensively discussed in this context as well. Possible origins of the non-Abelian discrete symmetry for flavors are another topic of interest, as they can arise from an underlying theory, e.g., the string theory or compactification via orbifolding as geometrical symmetries such as modular symmetries, thereby providing a possible bridge between the underlying theory and corresponding low-energy sector of particle physics. The book offers explicit introduction to the group theoretical aspects of many concrete groups, and readers learn how to derive conjugacy classes, characters, representations, tensor products, and automorphisms for these groups (with a finite number) when algebraic relations are given, thereby enabling readers to apply this to other groups of interest. Further, CP symmetry and modular symmetry are also presented.Table of ContentsIntroduction.- Basics of Finite Groups.- SN.- AN.- 5 T ′.- DN.- QN.- QD2N.- Σ(2N ).- Δ (3N2).- TN.- Σ(3N3).- Δ(6N2).- Subgroups and Decompositions of Multiplets.- Anomalies.- Non-Abelian Discrete Symmetry in Quark/Lepton Flavor Models.- Modular Group.- CP Symmetry.- Appendices.

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Book SynopsisThis book provides advanced theoretical and applied tools for the implementation of modern micro-econometric techniques in evidence-based program evaluation for the social sciences. The author presents a comprehensive toolbox for designing rigorous and effective ex-post program evaluation using the statistical software package Stata. For each method, a statistical presentation is developed, followed by a practical estimation of the treatment effects. By using both real and simulated data, readers will become familiar with evaluation techniques, such as regression-adjustment, matching, difference-in-differences, instrumental-variables, regression-discontinuity-design, and synthetic control method, and are given practical guidelines for selecting and applying suitable methods for specific policy contexts.The second revised and extended edition features two new chapters on some recent development of difference-in-differences. Specifically, chapter 5 introduces advanced difference-in-differences methods when many times are available and treatment can be either time-varying or fixed at a specific time. Chapter 6 introduces the synthetic control method, a treatment effect estimation approach suitable when only one unit is treated. Both chapters present applications using the software Stata.Table of ContentsChapter 1. An Introduction to the Econometrics of Program Evaluation.- Chapter 2. Methods Based on Selection on Observables.- Chapter 3. Methods Based on Selection on Unobservables.- Chapter 4. Local Average Treatment Effect and Regression-Discontinuity-Design.- Chapter 5. Difference-in-differences with many pre- and post-treatment times.- Chapter 6. Synthetic Control Method

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