« Back | Print 
Concordia.ca   /   Library   /   About the library   /   News   /   Acquisitions

New books by subject

sort items by: 

Mathematics - Concordia University Libraries Recent Acquisitions

Titles in the call number range QA 1 - QA 73, QA 90 - QA 699 (Mathematics) that were added to the Concordia University Libraries collection in the last 60 days.

  • Adventures in graph theory / W. David Joyner, Caroline Grant Melles

  • On characters of finite groups / Michel Broué

  • Geometric group theory : an introduction / Clara Löh

  • Ergodic theory and negative curvature : CIRM Jean-Morlet Chair, Fall 2013 / Boris Hasselblatt, editor
    These lectures center on ergodicity of the (Weil-Petersson) geodesic flow on a nonpositively curved space whose points are negatively curved metrics on surfaces. The subject matter is anchored by a self-contained introduction to hyperbolic dynamics and ergodic theory and complemented by lectures that show the deep connections of geodesic flows in negative curvature with on one hand Diophantine approximation and on the other hand with the ergodic theory of horocycle flows.

  • Computerized Adaptive and Multistage Testing with R : Using Packages catR and mstR / by David Magis, Duanli Yan, Alina A. von Davier

  • Lyapunov exponents / Luís Barreira

  • The relationship between language and spatial ability : an analysis of spatial language for reconstructing the solving of spatial tasks / by Angel Mizzi ; with preface by Prof. Dr. Andreas Büchter

  • Convergence and summability of Fourier transforms and Hardy spaces / Ferenc Weisz

  • Combinatorial set theory : with a gentle introduction to forcing / Lorenz J. Halbeisen
    QA 248 H35 2017eb

  • Covariant Schrödinger semigroups on Riemannian manifolds / Batu Güneysu

  • Real analysis : series, functions of several variables, and applications / Miklós Laczkovich, Vera T. Sós

  • Research in history and philosophy of mathematics : the CSHPM 2016 annual meeting in Calgary, Alberta / Maria Zack, Dirk Schlimm, editors

  • Multivariable calculus with MATLAB® : with applications to geometry and physics / Ronald L. Lipsman, Jonathan M. Rosenberg

  • Algebraic modeling of topological and computational structures and applications : THALES, Athens, Greece, July 1-3, 2015 / Sofia Lambropoulou, Doros Theodorou, Petros Stefaneas, Louis H. Kauffman, editors

  • Nevanlinna theory / Kunihiko Kodaira

  • Theory of random sets / Ilya Molchanov

  • Perspectives in lie theory / Filippo Callegaro, Giovanna Carnovale, Fabrizio Caselli, Corrado De Concini, Alberto De Sole, editors

  • Women in mathematics : celebrating the centennial of the Mathematical Association of America / Janet L. Beery, Sarah J. Greenwald, Jacqueline A. Jensen-Vallin, Maura B. Mast, editors

  • Continuous nonlinear optimization for engineering applications in GAMS technology / Neculai Andrei

  • Mathematical structures of natural intelligence / Yair Neuman

  • Derivative-free and blackbox optimization / Charles Audet, Warren Hare

  • Modern real analysis / William P. Ziemer ; with contributions by Monica Torres

  • A discrete Hilbert transform with circle packings / Dominik Volland

  • Modern problems of stochastic analysis and statistics : selected contributions in honor of Valentin Konakov / Vladimir Panov, editor

  • Number theory -- diophantine problems, uniform distribution and applications : festschrift in honour of Robert F. Tichy's 60th birthday / Christian Elsholtz, Peter Grabner, editors

  • Innovative algorithms and analysis / Laurent Gosse, Roberto Natalini, editors

  • Fundamentals of tensor calculus for engineers with a primer on smooth manifolds / Uwe Mühlich

  • Waves in Continuous Media / by Place of publication not identified Gavrilyuk, N.I. Makarenko, S.V. Sukhinin

    Starting with the basic notions and facts of the mathematical theory of waves illustrated by numerous examples, exercises, and methods of solving typical problems Chapters 1 & 2 show e.g. how to recognize the hyperbolicity property, find characteristics, Riemann invariants and conservation laws for quasilinear systems of equations, construct and analyze solutions with weak or strong discontinuities, and how to investigate equations with dispersion and to construct travelling wave solutions for models reducible to nonlinear evolution equations.

    Chapter 3 deals with surface and internal waves in an incompressible fluid. The efficiency of mathematical methods is demonstrated on a hierarchy of approximate submodels generated from the Euler equations of homogeneous and non-homogeneous fluids.

    The self-contained presentations of the material is complemented by 200+ problems of different level of difficulty, numerous illustrations, and bibliographical recommendations.

  • Spatial interaction models : facility location using game theory / Lina Mallozzi, Egidio D'Amato, Panos M. Pardalos, editors

    Facility location theory develops the idea of locating one or more facilities by optimizing suitable criteria such as minimizing transportation cost, or capturing the largest market share. The contributions in this book focus an approach to facility location theory through game theoretical tools highlighting situations where a location decision is faced by several decision makers and leading to a game theoretical framework in non-cooperative and cooperative methods. Models and methods regarding the facility location via game theory are explored and applications are illustrated through economics, engineering, and physics. Mathematicians, engineers, economists and computer scientists working in theory, applications and computational aspects of facility location problems using game theory will find this book useful.

  • Discrete-time optimal control and games on large intervals / Alexander J. Zaslavski

  • Geometry over nonclosed fields / Fedor Bogomolov, Brendan Hassett, Yuri Tschinkel, editors
    Based on the Simons Symposia held in 2015, the proceedings in this volume focus on rational curves on higher-dimensional algebraic varieties and applications of the theory of curves to arithmetic problems. There has been significant progress in this field with major new results, which have given new impetus to the study of rational curves and spaces of rational curves on K3 surfaces and their higher-dimensional generalizations. One main recent insight the book covers is the idea that the geometry of rational curves is tightly coupled to properties of derived categories of sheaves on K3 surfaces. The implementation of this idea led to proofs of long-standing conjectures concerning birational properties of holomorphic symplectic varieties, which in turn should yield new theorems in arithmetic. This proceedings volume covers these new insights in detail.

  • Mathematical practitioners and the transformation of natural knowledge in early modern Europe / Lesley B. Cormack, Steven A. Walton, John A. Schuster, editors

    This book argues that we can only understand transformations of nature studies in the Scientific Revolution if we take seriously the interaction between practitioners (those who know by doing) and scholars (those who know by thinking). These are not in opposition, however. Theory and practice are end points on a continuum, with some participants interested only in the practical, others only in the theoretical, and most in the murky intellectual world in between. It is this borderland where influence, appropriation, and collaboration have the potential to lead to new methods, new subjects of enquiry, and new social structures of natural philosophy and science.

    The case for connection between theory and practice can be most persuasively drawn in the area of mathematics, which is the focus of this book. Practical mathematics was a growing field in early modern Europe and these essays are organised into three parts which contribute to the debate about the role of mathematical practice in the Scientific Revolution. First, they demonstrate the variability of the identity of practical mathematicians, and of the practices involved in their activities in early modern Europe. Second, readers are invited to consider what practical mathematics looked like and that although practical mathematical knowledge was transmitted and circulated in a wide variety of ways, participants were able to recognize them all as practical mathematics. Third, the authors show how differences and nuances in practical mathematics typically depended on the different contexts in which it was practiced: social, cultural, political, and economic particularities matter. Historians of science, especially those interested in the Scientific Revolution period and the history of mathematics will find this book and its ground-breaking approach of particular interest.

  • Study guide for Single variable calculus : early transcendentals, eighth edition / Richard St. Andre
    QA 303.2 S772 2016 Guide
    For each section of the text, the Study Guide provides students with a brief introduction, a short list of concepts to master, as well as summary and focus questions with explained answers. The Study Guide also contains "Technology Plus" questions, and multiple-choice "On Your Own" exam-style questions.

  • An introduction to partial differential equations / Daniel J. Arrigo
    QA374 .A773 2018eb
    This book is an introduction to methods for solving partial differential equations (PDEs). After the introduction of the main four PDEs that could be considered the cornerstone of Applied Mathematics, the reader is introduced to a variety of PDEs that come from a variety of fields in the Natural Sciences and Engineering and is a springboard into this wonderful subject. The chapters include the following topics: First-order PDEs, Second-order PDEs, Fourier Series, Separation of Variables, and the Fourier Transform. The reader is guided through these chapters where techniques for solving first- and second-order PDEs are introduced. Each chapter ends with a series of exercises illustrating the material presented in each chapter. The book can be used as a textbook for any introductory course in PDEs typically found in both science and engineering programs and has been used at the University of Central Arkansas for over ten years.

  • Numerical integration of space fractional partial differential equations. Younes Salehi, William E. Schiesser
    QA372 .S2662 2018eb
    Partial differential equations (PDEs) are one of the most used widely forms of mathematics in science and engineering. PDEs can have partial derivatives with respect to (1) an initial value variable, typically time, and (2) boundary value variables, typically spatial variables. Therefore, two fractional PDEs can be considered, (1) fractional in time (TFPDEs), and (2) fractional in space (SFPDEs). The two volumes are directed to the development and use of SFPDEs, with the discussion divided as: *Vol 1: Introduction to Algorithms and Computer Coding in R *Vol 2: Applications from Classical Integer PDEs. Various definitions of space fractional derivatives have been proposed. We focus on the Caputo derivative, with occasional reference to the Riemann-Liouville derivative. In the second volume, the emphasis is on applications of SFPDEs developed mainly through the extension of classical integer PDEs to SFPDEs. The example applications are: *Fractional diffusion equation with Dirichlet, Neumann and Robin boundary conditions *Fisher-Kolmogorov SFPDE *Burgers SFPDE *Fokker-Planck SFPDE *Burgers-Huxley SFPDE *Fitzhugh-Nagumo SFPDE. These SFPDEs were selected because they are integer first order in time and integer second order in space. The variation in the spatial derivative from order two (parabolic) to order one (first order hyperbolic) demonstrates the effect of the spatial fractional order ?? with 1 ≤ ?? ≤ 2. All of the example SFPDEs are one dimensional in Cartesian coordinates. Extensions to higher dimensions and other coordinate systems, in principle, follow from the examples in this second volume. The examples start with a statement of the integer PDEs that are then extended to SFPDEs. The format of each chapter is the same as in the first volume. The R routines can be downloaded and executed on a modest computer (R is readily available from the Internet).

  • Numerical integration of space fractional partial differential equations. Younes Salehi, William E. Schiesser
    QA372 .S266 2018eb
    Partial differential equations (PDEs) are one of the most used widely forms of mathematics in science and engineering. PDEs can have partial derivatives with respect to (1) an initial value variable, typically time, and (2) boundary value variables, typically spatial variables. Therefore, two fractional PDEs can be considered, (1) fractional in time (TFPDEs), and (2) fractional in space (SFPDEs). The two volumes are directed to the development and use of SFPDEs, with the discussion divided as: Vol 1: Introduction to Algorithms and Computer Coding in R Vol 2: Applications from Classical Integer PDEs. Various definitions of space fractional derivatives have been proposed. We focus on the Caputo derivative, with occasional reference to the Riemann-Liouville derivative. Partial differential equations (PDEs) are one of the most used widely forms of mathematics in science and engineering. PDEs can have partial derivatives with respect to (1) an initial value variable, typically time, and (2) boundary value variables, typically spatial variables. Therefore, two fractional PDEs can be considered, (1) fractional in time (TFPDEs), and (2) fractional in space (SFPDEs). The two volumes are directed to the development and use of SFPDEs, with the discussion divided as: Vol 1: Introduction to Algorithms and Computer Coding in R Vol 2: Applications from Classical Integer PDEs. Various definitions of space fractional derivatives have been proposed. We focus on the Caputo derivative, with occasional reference to the Riemann-Liouville derivative. The Caputo derivative is defined as a convolution integral. Thus, rather than being local (with a value at a particular point in space), the Caputo derivative is non-local (it is based on an integration in space), which is one of the reasons that it has properties not shared by integer derivatives. A principal objective of the two volumes is to provide the reader with a set of documented R routines that are discussed in detail, and can be downloaded and executed without having to first study the details of the relevant numerical analysis and then code a set of routines. In the first volume, the emphasis is on basic concepts of SFPDEs and the associated numerical algorithms. The presentation is not as formal mathematics, e.g., theorems and proofs. Rather, the presentation is by examples of SFPDEs, including a detailed discussion of the algorithms for computing numerical solutions to SFPDEs and a detailed explanation of the associated source code.

  • Diffusion-driven wavelet design for shape analysis / Tingbo Hou, Hong Qin
    QA403.3 .H68 2015

    From Design Methods and Generation Schemes to State-of-the-Art Applications
    Wavelets are powerful tools for functional analysis and geometry processing, enabling researchers to determine the structure of data and analyze 3D shapes. Suitable for researchers in computer graphics, computer vision, visualization, medical imaging, and geometric modeling as well as graduate and senior undergraduate students in computer science, Diffusion-Driven Wavelet Design for Shape Analysispresents recent research results in wavelet designs on 3D shapes and their applications in shape analysis. It explains how to apply the design methods to various types of 3D data, such as polygonal meshes, point clouds, manifolds, and volumetric images.

    Extensions of Wavelet Generation on Volumetric and Manifold Data
    The first part of the book introduces design methods of wavelets on manifold data, incorporating interdisciplinary knowledge from differential geometry, functional analysis, Fourier transform, spectral graph theory, and stochastic processes. The authors show how wavelets are purely determined by the shape geometry and how wavelet transforms are computed as inner products of wavelet kernels and input functions.

    Wavelets for Solving Computer Graphics Problems
    The second part presents applications in shape analysis/representation. The book looks at wavelets as spectral tools for geometry processing with filters in a joint space-frequency domain and examines wavelets as detail extractors for shape feature definition and detection. Going beyond these fundamental applications, the book also covers middle- and high-level applications, including shape matching, shape registration, and shape retrieval.

    Easy-to-Understand Implementations and Algorithms
    Unlike many other wavelet books, this one does not involve complicated mathematics. Instead, the book uses simplified formulations and illustrative examples to explain deep theories. Code and other materials are available on a supplementary website.

  • Modeling shallow water flows using the discontinuous Galerkin method / Abdul A. Khan, Wencong Lai
    QA372 .K43 2014

    Replacing the Traditional Physical Model Approach

    Computational models offer promise in improving the modeling of shallow water flows. As new techniques are considered, the process continues to change and evolve. Modeling Shallow Water Flows Using the Discontinuous Galerkin Methodexamines a technique that focuses on hyperbolic conservation laws and includes one-dimensional and two-dimensional shallow water flows and pollutant transports.

    Combines the Advantages of Finite Volume and Finite Element Methods

    This book explores the discontinuous Galerkin (DG) method, also known as the discontinuous finite element method, in depth. It introduces the DG method and its application to shallow water flows, as well as background information for implementing and applying this method for natural rivers. It considers dam-break problems, shock wave problems, and flows in different regimes (subcritical, supercritical, and transcritical).

    Readily Adaptable to the Real World

    While the DG method has been widely used in the fields of science and engineering, its use for hydraulics has so far been limited to simple cases. The book compares numerical results with laboratory experiments and field data, and includes a set of tests that can be used for a wide range of applications.

    Provides step-by-step implementation details Presents the different forms in which the shallow water flow equations can be written Places emphasis on the details and modifications required to apply the scheme to real-world flow problems

    This text enables readers to readily understand and develop an efficient computer simulation model that can be used to model flow, contaminant transport, and other aspects in rivers and coastal environments. It is an ideal resource for practicing environmental engineers and researchers in the area of computational hydraulics and fluid dynamics, and graduate students in computational hydraulics.

  • Monte Carlo methods for particle transport / Alireza Haghighat
    QA298 .H34 2015

    The Monte Carlo method has become the de facto standard in radiation transport. Although powerful, if not understood and used appropriately, the method can give misleading results.

    Monte Carlo Methods for Particle Transport teaches appropriate use of the Monte Carlo method, explaining the method's fundamental concepts as well as its limitations. Concise yet comprehensive, this well-organized text:

    Introduces the particle importance equation and its use for variance reduction Describes general and particle-transport-specific variance reduction techniques Presents particle transport eigenvalue issues and methodologies to address these issues Explores advanced formulations based on the author's research activities Discusses parallel processing concepts and factors affecting parallel performance

    Featuring illustrative examples, mathematical derivations, computer algorithms, and homework problems, Monte Carlo Methods for Particle Transport provides nuclear engineers and scientists with a practical guide to the application of the Monte Carlo method.

  • Regularization, optimization, kernels, and support vector machines / edited by Johan A.K. Suykens, KU Leuven, Belgium, Marco Signoretto, KU Leuven, Belgium, Andreas Argyriou, Ecole Centrale Paris, France
    QA401 .R56 2013

    Regularization, Optimization, Kernels, and Support Vector Machinesoffers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines. Consisting of 21 chapters authored by leading researchers in machine learning, this comprehensive reference:

    Covers the relationship between support vector machines (SVMs) and the Lasso Discusses multi-layer SVMs Explores nonparametric feature selection, basis pursuit methods, and robust compressive sensing Describes graph-based regularization methods for single- and multi-task learning Considers regularized methods for dictionary learning and portfolio selection Addresses non-negative matrix factorization Examines low-rank matrix and tensor-based models Presents advanced kernel methods for batch and online machine learning, system identification, domain adaptation, and image processing Tackles large-scale algorithms including conditional gradient methods, (non-convex) proximal techniques, and stochastic gradient descent

    Regularization, Optimization, Kernels, and Support Vector Machines is ideal for researchers in machine learning, pattern recognition, data mining, signal processing, statistical learning, and related areas.

  • Finite element mesh generation / Daniel S.H. Lo
    QA377 .L574 2015

    Highlights the Progression of Meshing Technologies and Their Applications

    Finite Element Mesh Generationprovides a concise and comprehensive guide to the application of finite element mesh generation over 2D domains, curved surfaces, and 3D space. Organised according to the geometry and dimension of the problem domains, it develops from the basic meshing algorithms to the most advanced schemes to deal with problems with specific requirements such as boundary conformity, adaptive and anisotropic elements, shape qualities, and mesh optimization.

    It sets out the fundamentals of popular techniques, including:

    Delaunay triangulation Advancing-front (ADF) approach Quadtree/Octree techniques Refinement and optimization-based strategies

    From the geometrical and the topological aspects and their associated operations and inter-relationships, each approach is vividly described and illustrated with examples. Beyond the algorithms, the book also explores the practice of using metric tensor and surface curvatures for generating anisotropic meshes on parametric space. It presents results from research including 3D anisotropic meshing, mesh generation over unbounded domains, meshing by means of intersection, re-meshing by Delaunay-ADF approach, mesh refinement and optimization, generation of hexahedral meshes, and large scale and parallel meshing, along with innovative unpublished meshing methods. The author provides illustrations of major meshing algorithms, pseudo codes, and programming codes in C++ or FORTRAN.

    Geared toward research centers, universities, and engineering companies, Finite Element Mesh Generationdescribes mesh generation methods and fundamental techniques, and also serves as a valuable reference for laymen and experts alike.

  • Iterative optimization in inverse problems / Charles L. Byrne, University of Massachusetts, Lowell, USA
    QA297.8 .B974 2014

    Iterative Optimization in Inverse Problemsbrings together a number of important iterative algorithms for medical imaging, optimization, and statistical estimation. It incorporates recent work that has not appeared in other books and draws on the author's considerable research in the field, including his recently developed class of SUMMA algorithms. Related to sequential unconstrained minimization methods, the SUMMA class includes a wide range of iterative algorithms well known to researchers in various areas, such as statistics and image processing.

    Organizing the topics from general to more specific, the book first gives an overview of sequential optimization, the subclasses of auxiliary-function methods, and the SUMMA algorithms. The next three chapters present particular examples in more detail, including barrier- and penalty-function methods, proximal minimization, and forward-backward splitting. The author also focuses on fixed-point algorithms for operators on Euclidean space and then extends the discussion to include distance measures other than the usual Euclidean distance. In the final chapters, specific problems illustrate the use of iterative methods previously discussed. Most chapters contain exercises that introduce new ideas and make the book suitable for self-study.

    Unifying a variety of seemingly disparate algorithms, the book shows how to derive new properties of algorithms by comparing known properties of other algorithms. This unifying approach also helps researchers--from statisticians working on parameter estimation to image scientists processing scanning data to mathematicians involved in theoretical and applied optimization--discover useful related algorithms in areas outside of their expertise.

  • Sinusoids : theory and technological applications / Prem K. Kythe, University of New Orleans, Louisiana, USA
    QA403 .K98 2015

    A Complete Treatment of Current Research Topics in Fourier Transforms and Sinusoids

    Sinusoids: Theory and Technological Applicationsexplains how sinusoids and Fourier transforms are used in a variety of application areas, including signal processing, GPS, optics, x-ray crystallography, radioastronomy, poetry and music as sound waves, and the medical sciences. With more than 200 illustrations, the book discusses electromagnetic force and sychrotron radiation comprising all kinds of waves, including gamma rays, x-rays, UV rays, visible light rays, infrared, microwaves, and radio waves. It also covers topics of common interest, such as quasars, pulsars, the Big Bang theory, Olbers' paradox, black holes, Mars mission, and SETI.

    The book begins by describing sinusoids--which are periodic sine or cosine functions--using well-known examples from wave theory, including traveling and standing waves, continuous musical rhythms, and the human liver. It next discusses the Fourier series and transform in both continuous and discrete cases and analyzes the Dirichlet kernel and Gibbs phenomenon. The author shows how invertibility and periodicity of Fourier transforms are used in the development of signals and filters, addresses the general concept of communication systems, and explains the functioning of a GPS receiver. The author then covers the theory of Fourier optics, synchrotron light and x-ray diffraction, the mathematics of radioastronomy, and mathematical structures in poetry and music. The book concludes with a focus on tomography, exploring different types of procedures and modern advances. The appendices make the book as self-contained as possible.

  • Robust response surfaces, regression, and positive data analyses / Rabindra Nath Das
    QA279 .D355 2014

    Although widely used in science and technology for experimental data generating, modeling, and optimization, the response surface methodology (RSM) has many limitations. Showing how robust response surface methodology (RRSM) can overcome these limitations, Robust Response Surfaces, Regression, and Positive Data Analysespresents RRS designs, along with the relevant regression and positive data analysis techniques. It explains how to use RRSM in experimental designs and regression analysis.

    The book addresses problems of RRS designs, such as rotatability, slope-rotatability, weak rotatability, and optimality. It describes methods for estimating model parameters as well as positive data analysis techniques. The author illustrates the concepts and methods with real examples of lifetime responses, resistivity, replicated measures, and more.

    The range of topics and applications gives the book broad appeal both to theoreticians and practicing professionals. The book helps quality engineers, scientists in any area, medical practitioners, demographers, economists, and statisticians understand the theory and applications of RRSM. It can also be used in a second course on the design of experiments.

  • Analysis with ultrasmall numbers / Karel Hrbacek, The City College of New York, USA, Olivier Lessmann, Coll?ge Rousseau, Geneva, Switzerland, Richard O'Donovan, CEC Andr?-Chavanne, Geneva, Switzerland
    QA303.2 .H73 2015

    Analysis with Ultrasmall Numberspresents an intuitive treatment of mathematics using ultrasmall numbers. With this modern approach to infinitesimals, proofs become simpler and more focused on the combinatorial heart of arguments, unlike traditional treatments that use epsilon-delta methods. Students can fully prove fundamental results, such as the Extreme Value Theorem, from the axioms immediately, without needing to master notions of supremum or compactness.

    The book is suitable for a calculus course at the undergraduate or high school level or for self-study with an emphasis on nonstandard methods. The first part of the text offers material for an elementary calculus course while the second part covers more advanced calculus topics.

    The text provides straightforward definitions of basic concepts, enabling students to form good intuition and actually prove things by themselves. It does not require any additional "black boxes" once the initial axioms have been presented. The text also includes numerous exercises throughout and at the end of each chapter.

  • Reflexion and control : mathematical models / Dmitry A. Novikov & Alexander G. Chkhartishvili, Ttrapeznikov Institute of Control Sciences, Russian, Academy of Sciences, Moscow, Russia
    QA269 .N68 2014

  • Pseudolinear functions and optimization / Shashi Kant Mishra, Balendu Bhooshan Upadhyay
    QA353.P74 M57 2015

    Pseudolinear Functions and Optimizationis the first book to focus exclusively on pseudolinear functions, a class of generalized convex functions. It discusses the properties, characterizations, and applications of pseudolinear functions in nonlinear optimization problems.

    The book describes the characterizations of solution sets of various optimization problems. It examines multiobjective pseudolinear, multiobjective fractional pseudolinear, static minmax pseudolinear, and static minmax fractional pseudolinear optimization problems and their results. The authors extend these results to locally Lipschitz functions using Clarke subdifferentials. They also present optimality and duality results for h -pseudolinear and semi-infinite pseudolinear optimization problems.

    The authors go on to explore the relationships between vector variational inequalities and vector optimization problems involving pseudolinear functions. They present characterizations of solution sets of pseudolinear optimization problems on Riemannian manifolds as well as results on pseudolinearity of quadratic fractional functions. The book also extends n-pseudolinear functions to pseudolinear and n-pseudolinear fuzzy mappings and characterizations of solution sets of pseudolinear fuzzy optimization problems and n-pseudolinear fuzzy optimization problems. The text concludes with some applications of pseudolinear optimization problems to hospital management and economics.

    This book encompasses nearly all the published literature on the subject along with new results on semi-infinite nonlinear programming problems. It will be useful to readers from mathematical programming, industrial engineering, and operations management.

  • Significant figures : the lives and work of great mathematicians / Ian Stewart
    QA 28 S74 2017

    A celebrated mathematician traces the history of math through the lives and work of twenty-five pioneering mathematicians

    In Significant Figures , acclaimed mathematician Ian Stewart introduces the visionaries of mathematics throughout history. Delving into the lives of twenty-five great mathematicians, Stewart examines the roles they played in creating, inventing, and discovering the mathematics we use today. Through these short biographies, we get acquainted with the history of mathematics from Archimedes to Benoit Mandelbrot, and learn about those too often left out of the cannon, such as Muhammad ibn Musa al-Khwarizmi (c. 780-850), the creator of algebra, and Augusta Ada King (1815-1852), Countess of Lovelace, the world's first computer programmer.

    Tracing the evolution of mathematics over the course of two millennia, Significant Figures will educate and delight aspiring mathematicians and experts alike.

  • Probability and computing : randomization and probabilistic techniques in algorithms and data analysis / Michael Mitzenmacher, Eli Upfal
    QA 274 M574 2017
    Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics.

  • Reverse mathematics : proofs from the inside out / John Stillwell
    QA 9.25 S75 2018

    This book presents reverse mathematics to a general mathematical audience for the first time. Reverse mathematics is a new field that answers some old questions. In the two thousand years that mathematicians have been deriving theorems from axioms, it has often been asked: which axioms are needed to prove a given theorem? Only in the last two hundred years have some of these questions been answered, and only in the last forty years has a systematic approach been developed. In Reverse Mathematics , John Stillwell gives a representative view of this field, emphasizing basic analysis--finding the "right axioms" to prove fundamental theorems--and giving a novel approach to logic.

    Stillwell introduces reverse mathematics historically, describing the two developments that made reverse mathematics possible, both involving the idea of arithmetization. The first was the nineteenth-century project of arithmetizing analysis, which aimed to define all concepts of analysis in terms of natural numbers and sets of natural numbers. The second was the twentieth-century arithmetization of logic and computation. Thus arithmetic in some sense underlies analysis, logic, and computation. Reverse mathematics exploits this insight by viewing analysis as arithmetic extended by axioms about the existence of infinite sets. Remarkably, only a small number of axioms are needed for reverse mathematics, and, for each basic theorem of analysis, Stillwell finds the "right axiom" to prove it.

    By using a minimum of mathematical logic in a well-motivated way, Reverse Mathematics will engage advanced undergraduates and all mathematicians interested in the foundations of mathematics.

  • Mathematical thermodynamics of complex fluids Cetraro, Italy 2015 / by John M. Ball, Eduard Feireisl, Felix Otto ; edited by Eduard Feireisl, Elisabetta Rocca

  • Leavitt Path Algebras by Gene Abrams, Pere Ara, Mercedes Siles Molina

  • Cauchy Problem for Differential Operators with Double Characteristics Non-Effectively Hyperbolic Characteristics / by Tatsuo Nishitani

  • Mathematical tapas. Jean-Baptiste Hiriart-Urruty

  • Functional analysis, spectral theory, and applications / Manfred Einsiedler, Thomas Ward

  • Aesthetics of Interdisciplinarity : art and mathematics / Kristóf Fenyvesi, Tuuli Lähdesmäki, editors

  • Special metrics and group actions in geometry Simon G. Chiossi, Anna Fino, Emilio Musso, Fabio Podestà, Luigi Vezzoni, editors

  • hp-Version discontinuous Galerkin methods on polygonal and polyhedral meshes Andrea Cangiani, Zhaonan Dong, Emmanuil H. Georgoulis, Paul Houston

  • Applied Fourier analysis from signal processing to medical imaging / Tim Olson

  • Robust multivariate analysis David J. Olive

  • Carleman estimates and applications to inverse problems for hyperbolic systems Mourad Bellassoued, Masahiro Yamamoto

  • Fourier series, Fourier transform and their applications to mathematical physics Valery Serov

  • Twenty-one lectures on complex analysis : a first course / Alexander Isaev

  • Properties of closed 3-braids and braid representations of links / Alexander Stoimenow

  • Algorithmic and geometric topics around free groups and automorphisms Javier Aramayona... [et al.] ; editors for this volume: Juan González-Meneses, Martin Lustig, Enric Ventura

  • From natural numbers to quaternions / Jürg Kramer, Anna-Maria von Pippich

  • Orthogonal designs Hadamard matrices, quadratic forms and algebras / Jennifer Seberry

  • Quandles and topological pairs symmetry, knots, and cohomology / Takefumi Nosaka

  • The theory of nilpotent groups / Anthony E. Clement, Stephen Majewski, Marcos Zyman

  • Combinatorial algebraic geometry : selected papers from the 2016 Apprenticeship Program / edited by Gregory G. Smith, Bernd Sturmfels

  • Functional data structures in R advanced statistical programming in R / Thomas Mailund

  • Enlargement of filtration with finance in view Anna Aksamit, Monique Jeanblanc

    This volume presents classical results of the theory of enlargement of filtration. The focus is on the behavior of martingales with respect to the enlarged filtration and related objects. The study is conducted in various contexts including immersion, progressive enlargement with a random time and initial enlargement with a random variable.

    The aim of this book is to collect the main mathematical results (with proofs) previously spread among numerous papers, great part of which is only available in French. Many examples and applications to finance, in particular to credit risk modelling and the study of asymmetric information, are provided to illustrate the theory. A detailed summary of further connections and applications is given in bibliographic notes which enables to deepen study of the topic.

    This book fills a gap in the literature and serves as a guide for graduate students and researchers interested in the role of information in financial mathematics and in econometric science. A basic knowledge of the general theory of stochastic processes is assumed as a prerequisite.

  • From Particle Systems to Partial Differential Equations PSPDE IV, Braga, Portugal, December 2015

  • Algebraic geometry for coding theory and cryptography IPAM, Los Angeles, CA, February 2016 / Everett W. Howe, Kristin E. Lauter, Judy L. Walker, editors

  • Homological and Computational Methods in Commutative Algebra Dedicated to Winfried Bruns on the Occasion of his 70th Birthday / Aldo Conca, Joseph Gubeladze, Tim Römer, editors

  • Stochastic processes / Andrei N. Borodin

  • Essential real analysis / Michael Field

  • Stochastic calculus : an introduction through theory and exercises / Paolo Baldi

  • The moment problem / Konrad Schmüdgen

  • Humanizing mathematics and its philosophy : essays celebrating the 90th birthday of Reuben Hersh / Bharath Sriraman, editor
page last updated on: Monday 19 February 2018
Back to top Back to top