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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.

  • Inside the Mathematics Class : Sociological Perspectives on Participation, Inclusion, and Enhancement / editors, Uwe Gellert, Christine Knipping and Hauke Straehler-Pohl

  • S.M.A.R.T. circle minicourses / Andy Liu

  • Research on Mathematics Textbooks and Teachers' Resources : Advances and Issues / Lianghuo Fan [4 others], editors

  • Visualizing mathematics : the role of spatial reasoning in mathematical thought / editors, Kelly S.S. Mix and Michael T. Battista

  • Mathematics education in Brazil : panorama of current research / Alessandro Jacques Ribeiro, Lulu Healy, Rute Elizabete de Souza Rosa Borba, Solange Hassan Ahmad Eli Fernandes, editors

  • Mathematics teachers engaging with representations of practice : a dynamically evolving field / Orly Buchbinder, Sebastian Kuntze, editors

  • Advances in Mathematics Education Research on Proof and Proving : an International Perspective / Andreas J. Stylianides, Guershon Harel, editors

  • Views and Beliefs in Mathematics Education : The Role of Beliefs in the Classroom / editors, Benjamin Rott, Günter Törner, Joyce Peters-Dasdemir, Anne Möller and Safrudiannur

  • Scripting approaches in mathematics education : mathematical dialogues in research and practice / Rina Zazkis, Patricio Herbst, editors
    QA 11.2 S37 2018eb

  • Educating Prospective Secondary Mathematics Teachers : Knowledge, Identity, and Pedagogical Practices / Marilyn E. Strutchens [and 3 others]
    QA 11.2 E383 2018eb

  • Contemporary Research in Adult and Lifelong Learning of Mathematics : International Perspectives / Katherine Safford-Ramus, Jürgen Maaß, Evelyn Süss-Stepancik, editors
    QA 11.2 C66 2018eb

  • Cohesive subgraph computation over large sparse graphs : algorithms, data structures, and programming techniques / Lijun Chang, Lu Qin

  • Maths for social sciences / Lorenzo Peccati, Mauro D'Amico, Margherita Cigola

  • Distributions, partial differential equations, and harmonic analysis / Dorina Mitrea

  • Arithmetic of finite fields : 7th International Workshop, WAIFI 2018, Bergen, Norway, June 14-16, 2018, Revised Selected Papers / Lilya Budaghyan, Francisco Rodríguez-Henríquez (eds.)
    QA 247 W35 2018eb

  • Symmetry breaking for representations of rank one orthogonal groups II / Toshiyuki Kobayashi, Birgit Speh

  • From Particle Systems to Partial Differential Equations : PSPDE V, Braga, Portugal, November 2016 / Patrícia Gonçalves, Ana Jacinta Soares, editors

  • Dirichlet : a mathematical biography / Uta C. Merzbach
    QA 29 D575 M47 2018eb

  • Fuzzy lie algebras / Muhammad Akram
    QA 252.3 A37 2018eb

  • Advances in summability and approximation theory / S. A. Mohiuddine, Tuncer Acar, editors
    QA 295 A38 2018eb

  • Single-Valued Neutrosophic Graphs / Muhammad Akram

  • Bayesian claims reserving methods in non-life Insurance with Stan : an introduction / Guangyuan Gao
    QA 279.5 G36 2018eb

  • Operator theory, analysis and the state space approach : in honor of Rien Kaashoek / Harm Bart, Sanne ter Horst, André C.M. Ran, Hugo J. Woerdeman, editors

  • New trends in emerging complex real life problems : ODS, Taormina, Italy, September 10-13 2018 / Patrizia Daniele, Laura Scrimali, editors
    QA 402.5 I58 2018eb

  • Open Problems in Optimization and Data Analysis / edited by Panos M. Pardalos, Athanasios Migdalas

  • A spectral theory for simply periodic solutions of the Sinh-Gordon equation / Sebastian Klein
    QA 371 K44 2018eb

  • Advances in Mathematical Inequalities and Applications / Praveen Agarwal [and 3 others], editors

  • Singular algebraic curves : with an appendix by Oleg Viro / Gert-Martin Greuel, Christoph Lossen and Eugenii Shustin

  • Algebraic and analytic microlocal analysis : AAMA, Evanston, Illinois, USA, 2012 And 2013 / Michael Hitrik, Dmitry Tamarkin, Boris Tsygan, Steve Zelditch, editors
    QA 299.6 A44 2018eb

  • Spectral action in noncommutative geometry / Michał Eckstein, Bruno Iochum
    QA 320 E25 2018eb

  • Markov chains / Randal Douc, Eric Moulines, Pierre Priouret, Philippe Soulier

  • Approximation theory and algorithms for data analysis / Armin Iske

  • The GLOBAL Optimization Algorithm : newly updated with Java Implementation and Parallelization / Balázs Bánhelyi... [et al.]

  • Hidden Dynamics : The Mathematics of Switches, Decisions and Other Discontinuous Behaviour / Mike R. Jeffrey

  • Lie groups, geometry, and representation theory : a tribute to the life and work of Bertram Kostant / Victor G. Kac, Vladimir L. Popov, editors
    QA 387 L54 2018eb

  • Semiparametric regression with R / Jaroslaw Harezlak, David Ruppert, Matt P. Wand

  • Generalized locally Toeplitz sequences : theory and applications. Carlo Garoni, Stefano Serra-Capizzano

  • Uncertainty in complex networked systems : in honor of Roberto Tempo / editor, Tamer Başar

  • Stochastic processes and applications : SPAS2017, Västerås and Stockholm, Sweden, October 4-6 2017 / Sergei Silvestrov, Anatoliy Malyarenko, Milica Rančić, editors

  • Geometric flows and the geometry of space-time / Vicente Cortés, Klaus Kröncke, Jan Louis, editors
    QA 445 G46 2018eb

  • Quantum computation and logic : how quantum computers have inspired logical investigations / Maria Luisa Dalla Chiara, Roberto Giuntini, Roberto Leporini and Giuseppe Sergioli

  • Empirical likelihood and quantile methods for time series : efficiency, robustness, optimality, and prediction / Yan Liu, Fumiya Akashi, Masanobu Taniguchi
    This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.g., infinite variance processes, not only from the point of view of efficiency but also from that of robustness and optimality by minimizing prediction error. This is the first book to consider the generalized empirical likelihood applied to time series models in frequency domain and also the estimation motivated by minimizing quantile prediction error without assumption of true model. It provides the reader with a new horizon for understanding the prediction problem that occurs in time series modeling and a contemporary approach of hypothesis testing by the generalized empirical likelihood method. Nonparametric aspects of the methods proposed in this book also satisfactorily address economic and financial problems without imposing redundantly strong restrictions on the model, which has been true until now. Dealing with infinite variance processes makes analysis of economic and financial data more accurate under the existing results from the demonstrative research. The scope of applications, however, is expected to apply to much broader academic fields. The methods are also sufficiently flexible in that they represent an advanced and unified development of prediction form including multiple-point extrapolation, interpolation, and other incomplete past forecastings. Consequently, they lead readers to a good combination of efficient and robust estimate and test, and discriminate pivotal quantities contained in realistic time series models.

  • Attraction in Numerical Minimization : Iteration Mappings, Attractors, and Basins of Attraction / Adam B. Levy

  • On some problems associated with D²-statistics and p-statistics [by] P.K. Bose and S.B. Chaudhuri
    QA 276.7 B6 1967

  • Patently mathematical / Jeff Suzuki
    QA 41 .S9395 2019eb

    How do dating sites match compatible partners? What do cell phones and sea coasts have in common? And why do computer scientists keep ant colonies? Jeff Suzuki answers these questions and more in Patently Mathematical , which explores the mathematics behind some of the key inventions that have changed our world.

    In recent years, patents based on mathematics have been issued by the thousands--from search engines and image recognition technology to educational software and LEGO designs. Suzuki delves into the details of cutting-edge devices, programs, and products to show how even the simplest mathematical principles can be turned into patentable ideas worth billions of dollars. Readers will discover

    * whether secure credit cards are really secure
    * how improved data compression made streaming video services like Netflix a hit
    * the mathematics behind self-correcting golf balls
    * why Google is such an effective and popular search engine
    * how eHarmony and Match.com find the perfect partner for those seeking a mate
    * and much more!

    A gifted writer who combines quirky historical anecdotes with relatable, everyday examples, Suzuki makes math interesting for everyone who likes to ponder the world of numerical relationships.

    Praise for Jeff Suzuki's Constitutional Calculus

    "Presents an entertaining and insightful approach to the mathematics that underlies the American system of government. The book is neatly organized, breaking down the United States Constitution by article, section, and amendment. Within each piece, Suzuki reviews the mathematical principles that went into the underlying framework."-- Mathematical Reviews

    "A breath of fresh air.... A reaffirmation that mathematics should be used more often to make general public policy."-- MAA Reviews

  • Partial differential equations in fluid mechanics / edited by Charles L. Fefferman, James C. Robinson, José L. Rodrigo
    QA 374 P3484 2018eb
    The Euler and Navier-Stokes equations are the fundamental mathematical models of fluid mechanics, and their study remains central in the modern theory of partial differential equations. This volume of articles, derived from the workshop 'PDEs in Fluid Mechanics' held at the University of Warwick in 2016, serves to consolidate, survey and further advance research in this area. It contains reviews of recent progress and classical results, as well as cutting-edge research articles. Topics include Onsager's conjecture for energy conservation in the Euler equations, weak-strong uniqueness in fluid models and several chapters address the Navier-Stokes equations directly; in particular, a retelling of Leray's formative 1934 paper in modern mathematical language. The book also covers more general PDE methods with applications in fluid mechanics and beyond. This collection will serve as a helpful overview of current research for graduate students new to the area and for more established researchers.

  • Log-linear models, extensions, and applications / edited by Aleksandr Aravkin [and six others]
    QA 278 L64 2018
    Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications.

    Log-linear models play a key role in modern big data and machine learning applications. From simple binary classification models through partition functions, conditional random fields, and neural nets, log-linear structure is closely related to performance in certain applications and influences fitting techniques used to train models. This volume covers recent advances in training models with log-linear structures, covering the underlying geometry, optimization techniques, and multiple applications. The first chapter shows readers the inner workings of machine learning, providing insights into the geometry of log-linear and neural net models. The other chapters range from introductory material to optimization techniques to involved use cases. The book, which grew out of a NIPS workshop, is suitable for graduate students doing research in machine learning, in particular deep learning, variable selection, and applications to speech recognition. The contributors come from academia and industry, allowing readers to view the field from both perspectives.

    Aleksandr Aravkin, Avishy Carmi, Guillermo A. Cecchi, Anna Choromanska, Li Deng, Xinwei Deng, Jean Honorio, Tony Jebara, Huijing Jiang, Dimitri Kanevsky, Brian Kingsbury, Fabrice Lambert, Aur lie C. Lozano, Daniel Moskovich, Yuriy S. Polyakov, Bhuvana Ramabhadran, Irina Rish, Dimitris Samaras, Tara N. Sainath, Hagen Soltau, Serge F. Timashev, Ewout van den Berg

  • How to develop confident mathematicians in the early years : a guide for practitioners and parents / Tony Cotton
    QA 135.6 C6745 2019eb

    Showing how everyday experiences can be used to encourage early mathematical thinking, this book will help you to confidently support young children's mathematical development through play.

    Developing Confident Mathematicians in the Early Years clearly explains the stages of mathematical development from birth to five years. It considers how practitioners and parents can create a mathematically rich environment and then offers a wealth of practical activities and suggestions for adult-child interactions to enhance children's mathematical learning. Features include:

    60 activities each covering a core area of mathematical experience - measurement, algebra, data handling, counting and calculation. clear explanations of the mathematics taking place in each activity and how this forms the foundation for mathematical learning in the future. practical suggestions for home learning and working in partnership with parents. links to the EYFS and National Curriculum.

    Offering a rich source of ideas using everyday resources, this practical text will inspire practitioners and parents to nurture young children's innate confidence and ability in mathematics.

  • Brainball : teaching inquiry math as a team sport / Mickey Kolis and Cassandra Meinholz
    QA 20 G35 K65 2018eb

  • The block theory of finite group algebras. Markus Linckelmann
    QA 174.2 L56 2018eb
    This is a comprehensive introduction to the modular representation theory of finite groups, with an emphasis on block theory. The two volumes take into account classical results and concepts as well as some of the modern developments in the area. Volume 1 introduces the broader context, starting with general properties of finite group algebras over commutative rings, moving on to some basics in character theory and the structure theory of algebras over complete discrete valuation rings. In Volume 2, blocks of finite group algebras over complete p-local rings take centre stage, and many key results which have not appeared in a book before are treated in detail. In order to illustrate the wide range of techniques in block theory, the book concludes with chapters classifying the source algebras of blocks with cyclic and Klein four defect groups, and relating these classifications to the open conjectures that drive block theory.

  • The block theory of finite group algebras. Markus Linckelmann
    QA 174.2 L56 2018eb
    This is a comprehensive introduction to the modular representation theory of finite groups, with an emphasis on block theory. The two volumes take into account classical results and concepts as well as some of the modern developments in the area. Volume 1 introduces the broader context, starting with general properties of finite group algebras over commutative rings, moving on to some basics in character theory and the structure theory of algebras over complete discrete valuation rings. In Volume 2, blocks of finite group algebras over complete p-local rings take centre stage, and many key results which have not appeared in a book before are treated in detail. In order to illustrate the wide range of techniques in block theory, the book concludes with chapters classifying the source algebras of blocks with cyclic and Klein four defect groups, and relating these classifications to the open conjectures that drive block theory.

  • The Mathieu groups / A.A. Ivanov, Imperial College London and Institute for System Analysis, FRC, CSC, RAS
    QA 171 I93 2018eb
    The Mathieu groups have many fascinating and unusual characteristics and have been studied at length since their discovery. This book provides a unique, geometric perspective on these groups. The amalgam method is explained and used to construct M24, enabling readers to learn the method through its application to a familiar example. The same method is then used to construct, among others, the octad graph, the Witt design and the Golay code. This book also provides a systematic account of 'small groups', and serves as a useful reference for the Mathieu groups. The material is presented in such a way that it guides the reader smoothly and intuitively through the process, leading to a deeper understanding of the topic.

  • Applying mathematics : immersion, inference, interpretation / Otávio Bueno and Steven French
    QA 8.4 B84 2018eb

  • Geometric Structures of Information / Frank Nielsen, editor
    QA 276.23 G46 2019eb

  • Ramsey theory : unsolved problems and results / Xiaodong Xu, Meilian Liang, Haipeng Luo
    QA 166 X865 2018eb

    Key problems and conjectures have played an important role in promoting the development of Ramsey theory, a field where great progress has been made during the past two decades, with some old problems solved and many new problems proposed. The present book will be helpful to readers who wish to learn about interesting problems in Ramsey theory, to see how they are interconnected, and then to study them in depth. This book is the first problem book of such scope in Ramsey theory. Many unsolved problems, conjectures and related partial results in Ramsey theory are presented, in areas such as extremal graph theory, additive number theory, discrete geometry, functional analysis, algorithm design, and in other areas. Most presented problems are easy to understand, but they may be difficult to solve. They can be appreciated on many levels and by a wide readership, ranging from undergraduate students majoring in mathematics to research mathematicians. This collection is an essential reference for mathematicians working in combinatorics and number theory, as well as for computer scientists studying algorithms.

    Some definitions and notations
    Ramsey theory
    Bi-color diagonal classical Ramsey numbers
    Paley graphs and lower bounds for R(k, k)
    Bi-color off-diagonal classical Ramsey numbers
    Multicolor classical Ramsey numbers
    Generalized Ramsey numbers
    Folkman numbers
    The Erdős-Hajnal conjecture
    Other Ramsey-type problems in graph theory
    On van der Waerden numbers and Szemeredi's theorem
    More problems of Ramsey type in additive number theory
    Sidon-Ramsey numbers
    Games in Ramsey theory
    Local Ramsey theory
    Set-coloring Ramsey theory

    Other problems and conjectures

  • Robust nonlinear regression : with applications using R / Hossein Riazoshams, Habshah Midi, Gebrenegus Ghilagaber
    QA 278.2 R48 2019

    The first book to discuss robust aspects of nonlinear regression--with applications using R software

    Robust Nonlinear Regression: with Applications using R covers a variety of theories and applications of nonlinear robust regression. It discusses both parts of the classic and robust aspects of nonlinear regression and focuses on outlier effects. It develops new methods in robust nonlinear regression and implements a set of objects and functions in S-language under SPLUS and R software. The software covers a wide range of robust nonlinear fitting and inferences, and is designed to provide facilities for computer users to define their own nonlinear models as an object, and fit models using classic and robust methods as well as detect outliers. The implemented objects and functions can be applied by practitioners as well as researchers.

    The book offers comprehensive coverage of the subject in 9 chapters: Theories of Nonlinear Regression and Inference; Introduction to R; Optimization; Theories of Robust Nonlinear Methods; Robust and Classical Nonlinear Regression with Autocorrelated and Heteroscedastic errors; Outlier Detection; R Packages in Nonlinear Regression; A New R Package in Robust Nonlinear Regression; and Object Sets.

    The first comprehensive coverage of this field covers a variety of both theoretical and applied topics surrounding robust nonlinear regression Addresses some commonly mishandled aspects of modeling R packages for both classical and robust nonlinear regression are presented in detail in the book and on an accompanying website Robust Nonlinear Regression: with Applications using R is an ideal text for statisticians, biostatisticians, and statistical consultants, as well as advanced level students of statistics.

  • The symbolic computation of integrability structures for partial differential equations / Joseph Krasil'shchik, Alexander Verbovetsky, Raffaele Vitolo

  • Lorentzian geometry and related topics : GeLoMa 2016, Málaga, Spain, September 20-23 / María A. Cañadas-Pinedo, José Luis Flores, Francisco J. Palomo, editors

  • Space in weak propositional proof systems / Ilario Bonacina

  • Functional analysis in interdisciplinary applications : Astana, Kazakhstan, October 2017 / Tynysbek Sh. Kalmenov, Erlan D. Nursultanov, Michael V. Ruzhansky, Makhmud A. Sadybekov, editors

  • Monoidal categories and topological field theory / Vladimir Turaev, Alexis Virelizier
    QA 169 T87 2017eb

    This monograph is devoted to monoidal categories and their connections with 3-dimensional topological field theories. Starting with basic definitions, it proceeds to the forefront of current research.

    Part 1 introduces monoidal categories and several of their classes, including rigid, pivotal, spherical, fusion, braided, and modular categories. It then presents deep theorems of Müger on the center of a pivotal fusion category. These theorems are proved in Part 2 using the theory of Hopf monads. In Part 3 the authors define the notion of a topological quantum field theory (TQFT) and construct a Turaev-Viro-type 3-dimensional state sum TQFT from a spherical fusion category. Lastly, in Part 4 this construction is extended to 3-manifolds with colored ribbon graphs, yielding a so-called graph TQFT (and, consequently, a 3-2-1 extended TQFT). The authors then prove the main result of the monograph: the state sum graph TQFT derived from any spherical fusion category is isomorphic to the Reshetikhin-Turaev surgery graph TQFT derived from the center of that category.

    The book is of interest to researchers and students studying topological field theory, monoidal categories, Hopf algebras and Hopf monads.

  • Cellular automata : a volume in the encyclopedia of complexity and systems science, second edition / Andrew Adamatzky, editor

  • Pseudodifferential operators and wavelets over real and P-Adic fields / Nguyen Minh Chuong

  • Real and complex analysis. Rajnikant Sinha

  • An introduction to the language of mathematics / Frédéric Mynard

  • L2 approaches in several complex variables : towards the Oka-Cartan theory with precise bounds / Takeo Ohsawa

  • A Pythagorean introduction to number theory : right triangles, sums of squares, and arithmetic / Ramin Takloo-Bighash
    QA 241 T35 2018eb

  • ALGEBRA : from the viewpoint of galois theory

  • Mathematical programming and game theory / S.K. Neogy, Ravindra B. Bapat, Dipti Dubey, editors

  • Logics for computer science : classical and non-classical / Anita Wasilewska
    QA 9 W37 2018eb

  • Saddle-point problems and their iterative solution / Miroslav Rozložník

  • Getting acquainted with homogenization and multiscale / Leonid Berlyand, Volodymyr Rybalko

  • Lecture notes in real analysis / Xiaochang Wang

  • Lectures on convex optimization / Yurii Nesterov

  • Sets, models and proofs / Ieke Moerdijk, Jaap van Oosten

  • Transactions on petri nets and other models of concurrency XIII / Maciej Koutny, Lars Michael Kristensen, Wojciech Penczek (eds.)

  • Positive solutions to indefinite problems : a topological approach / Guglielmo Feltrin

  • Fredholm and Local Spectral Theory II : With Application to Weyl-type Theorems / by Pietro Aiena

  • Principles in noisy optimization : applied to multi-agent coordination / Pratyusha Rakshit, Amit Konar

  • Introduction to tensor network methods : numerical simulations of low-dimensional many-body quantum systems / Simone Montangero
page last updated on: Saturday 23 February 2019
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