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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.

  • Random ordinary differential equations and their numerical solution / Xiaoying Han, Peter E. Kloeden

  • Variational analysis of regular mappings : theory and applications / Alexander D. Ioffe

  • Characterizing interdependencies of multiple time series : theory and applications / Yuzo Hosoya, Kosuke Oya, Taro Takimoto, Ryo Kinoshita

  • Non-instantaneous impulses in differential equations / Ravi Agarwal, Snezhana Hristova, Donal O'Regan

  • Theory and applications of ordered fuzzy numbers : a tribute to Professor Witold Kosiński / Piotr Prokopowicz, Jacek Czerniak, Dariusz Mikołajewski, Łukasz Apiecionek, Dominik Śļezak, editors

  • Mathematical methods for curves and surfaces : 9th International Conference, MMCS 2016, Tønsberg, Norway, June 23-28, 2016, Revised selected papers / edited by Michael Floater, Tom Lyche, Marie-Laurence Mazure, Knut Mørken, Larry L. Schumaker (eds.)

  • Mathematical statistics : essays on history and methodology / Johann Pfanzagl

    In the middle of the last century the development of mathematical statistics underwent an enduring change, due to the use of more refined mathematical tools.

    New concepts like sufficiency, superefficiency, adaptivity etc. motivated scholars to reflect upon the interpretation of mathematical concepts in terms of their real-world relevance. Questions concerning the optimality of estimators, for instance, had remained unanswered for decades, as a meaningful concept of optimality (based on regularity of the estimators, the representation of their limit distribution and assertions about their concentration by means of Anderson's Theorem) was not yet available.

    The rapidly developing asymptotic theory provided approximate answers to questions for which non-asymptotic theory had found no satisfying solutions.

    In four engaging essays, Pfanzagl's book presents a detailed description of how the use of mathematical methods stimulated the development of a statistical theory.

    A book on the history of mathematical statistics would offer a description of who did what and when. Pfanzagl's book, centred on questions of methodology, points to missed opportunities, questionable proofs, neglected questions of priority, and to the presence of such deficiencies even in recent textbooks.

  • Semi-infinite fractional programming / Ram U. Verma

  • Representation theory, number theory, and invariant theory : in honor of Roger Howe on the occasion of his 70th birthday / Jim Cogdell, Ju-Lee Kim, Chen-Bo Zhu, editors

  • Function spaces and inequalities : New Delhi, India, December 2015 / Pankaj Jain, Hans-Jürgen Schmeisser, editors

  • Industrial mathematics and complex systems : emerging mathematical models, methods and algorithms / Pammy Manchanda, René Lozi, Abul Hasan Siddiqi, editors

  • Dynamical systems with applications using Mathematica® / Stephen Lynch

  • Numerical models for differential problems / Alfio Quarteroni
    QA 377 Q83 2017eb
    In this text, we introduce the basic concepts for the numerical modelling of partial differential equations. We consider the classical elliptic, parabolic and hyperbolic linear equations, but also the diffusion, transport, and Navier-Stokes equations, as well as equations representing conservation laws, saddle-point problems and optimal control problems. Furthermore, we provide numerous physical examples which underline such equations. We then analyze numerical solution methods based on finite elements, finite differences, finite volumes, spectral methods and domain decomposition methods, and reduced basis methods. In particular, we discuss the algorithmic and computer implementation aspects and provide a number of easy-to-use programs. The text does not require any previous advanced mathematical knowledge of partial differential equations: the absolutely essential concepts are reported in a preliminary chapter. It is therefore suitable for students of bachelor and master courses in scientific disciplines, and recommendable to those researchers in the academic and extra-academic domain who want to approach this interesting branch of applied mathematics.

  • Matrix algebra : theory, computations and applications in statistics / James E. Gentle

  • Intuitive introductory statistics / Douglas A. Wolfe, Grant Schneider

  • Riemannian geometry and geometric analysis / Jürgen Jost

  • Sample path analysis and distributions of boundary crossing times / Shelemyahu Zacks

  • Algorithmic decision theory : 5th International Conference, ADT 2017, Luxembourg, Luxembourg, October 25-27, 2017, Proceedings / Jörg Rothe (ed.)

  • Painlevé III : a case study in the geometry of Meromorphic connections / Martin A. Guest, Claus Hertling

  • Complex and symplectic geometry Daniele Angella, Costantino Medori, Adriano Tomassini, editors

  • Game theory and applications : 3rd Joint China-Dutch Workshop and 7th China Meeting, GTA 2016, Fuzhou, China, November 20-23, 2016, Revised selected papers / edited by Deng-Feng Li, Xiao-Guang Yang, Marc Uetz, Gen-Jiu Xu

  • Representations of Lie algebras and partial differential equations / Xiaoping Xu

  • Copulas and dependence models with applications : contributions in honor of Roger B. Nelsen / Manuel Úbeda Flores, Enrique de Amo Artero, Fabrizio Durante, Juan Fernández Sánchez, editors

  • Linear algebra / Belkacem Said-Houari

  • Two-scale approach to oscillatory singularly perturbed transport equations / Emmanuel Frénod

  • Lévy matters. Franziska Kühn

  • Nonlocal and nonlinear diffusions and interactions : new methods and directions : Cetraro, Italy 2016 / José Antonio Carrillo, Manuel del Pino, Alessio Figalli, Giuseppe Mingione, Juan Luis Vázquez ; Matteo Bonforte, Gabriele Grillo, editors

  • Modern approaches to discrete curvature / Laurent Najman, Pascal Romon, editors

  • Subdivision surface modeling technology / Wenhe Liao, Hao Liu, Tao Li

  • Canonical duality theory : unified methodology for multidisciplinary study / David Yang Gao, Vittorio Latorre, Ning Ruan, editors

  • Bayesian optimization for materials science Daniel Packwood

  • Algebraic properties of generalized inverses Dragana S. Cvetković Ilić, Yimin Wei

  • Stochastic analysis and related topics : a festschrift in honor of Rodrigo Bañuelos / Fabrice Baudoin, Jonathan Peterson, editors

  • A forward-backward SDEs approach to pricing in carbon markets Jean-François Chassagneux, Hinesh Chotai, Mirabelle Muûls

  • Basic elements of computational statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin

  • From Riemann to differential geometry and relativity Lizhen Ji, Athanase Papadopoulos, Sumio Yamada, editors

  • Moduli of curves CIMAT Guanajuato, Mexico 2016 / Leticia Brambila Paz... [et al.], editors

  • Advances in real and complex analysis with applications Michael Ruzhansky... [et al.], editors

  • Combinatorial optimization and graph algorithms : communications of NII Shonan Meetings / Takuro Fukunaga, Ken-ichi Kawarabayashi, editors

  • Modeling, dynamics, optimization and bioeconomics II : DGS III, Porto, Portugal, February 2014, and Bioeconomy VII, Berkeley, USA, March 2014 -- selected contributions / Alberto A. Pinto, David Zilberman, editors

  • Growth curve models and applications : Indian Statistical Institute, Giridih, India, March 28-29, 2016 / Ratan Dasgupta, editor

  • Kolmogorov complexity and algorithmic randomness / A. Shen, V.A. Uspensky, N. Vereshchagin
    QA 267.7 S52413 2017
    Looking at a sequence of zeros and ones, we often feel that it is not random, that is, it is not plausible as an outcome of fair coin tossing. Why? The answer is provided by algorithmic information theory: because the sequence is compressible, that is, it has small complexity or, equivalently, can be produced by a short program. This idea, going back to Solomonoff, Kolmogorov, Chaitin, Levin, and others, is now the starting point of algorithmic information theory.

    The first part of this book is a textbook-style exposition of the basic notions of complexity and randomness; the second part covers some recent work done by participants of the ``Kolmogorov seminar'' in Moscow (started by Kolmogorov himself in the 1980s) and their colleagues. This book contains numerous exercises (embedded in the text) that will help readers to grasp the material.

  • Turing's vision : the birth of computer science / Chris Bernhardt
    QA 29 T8A57 2015eb

  • Single variable calculus / James Stewart
    QA 303.2 S75 2016b
    Success in your calculus course starts here! James Stewart's CALCULUS texts are world-wide best-sellers for a reason: they are clear, accurate, and filled with relevant, real-world examples. With SINGLE VARIABLE CALCULUS, Eighth Edition, Stewart conveys not only the utility of calculus to help you develop technical competence, but also gives you an appreciation for the intrinsic beauty of the subject. His patient examples and built-in learning aids will help you build your mathematical confidence and achieve your goals in the course.

  • An introduction to modern nonparametric statistics / James J. Higgins
    QA 278.8 H54 2004
    Guided by problems that frequently arise in actual practice, James Higgins' book presents a wide array of nonparametric methods of data analysis that researchers will find useful. It discusses a variety of nonparametric methods and, wherever possible, stresses the connection between methods. For instance, rank tests are introduced as special cases of permutation tests applied to ranks. The author provides coverage of topics not often found in nonparametric textbooks, including procedures for multivariate data, multiple regression, multi-factor analysis of variance, survival data, and curve smoothing. This truly modern approach teaches non-majors how to analyze and interpret data with nonparametric procedures using today's computing technology.

  • Ten great ideas about chance / Persi Diaconis, Brian Skyrms
    QA 273 D53 2018

    A fascinating account of the breakthrough ideas that transformed probability and statistics

    In the sixteenth and seventeenth centuries, gamblers and mathematicians transformed the idea of chance from a mystery into the discipline of probability, setting the stage for a series of breakthroughs that enabled or transformed innumerable fields, from gambling, mathematics, statistics, economics, and finance to physics and computer science. This book tells the story of ten great ideas about chance and the thinkers who developed them, tracing the philosophical implications of these ideas as well as their mathematical impact.

    Persi Diaconis and Brian Skyrms begin with Gerolamo Cardano, a sixteenth-century physician, mathematician, and professional gambler who helped develop the idea that chance actually can be measured. They describe how later thinkers showed how the judgment of chance also can be measured, how frequency is related to chance, and how chance, judgment, and frequency could be unified. Diaconis and Skyrms explain how Thomas Bayes laid the foundation of modern statistics, and they explore David Hume's problem of induction, Andrey Kolmogorov's general mathematical framework for probability, the application of computability to chance, and why chance is essential to modern physics. A final idea--that we are psychologically predisposed to error when judging chance--is taken up through the work of Daniel Kahneman and Amos Tversky.

    Complete with a brief probability refresher, Ten Great Ideas about Chance is certain to be a hit with anyone who wants to understand the secrets of probability and how they were discovered.

  • Probability : a lively introduction / Henk Tijms
    QA 273.2 T55 2018
    Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right. This engaging textbook with its easy-to-follow writing style provides a comprehensive, yet concise introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses as well as many topics that are usually not found in standard text - such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds.

  • Period mappings and period domains / James Carlson, University of Utah ; Stefan Müller-Stach, Johannes Gutenberg Universität, Mainz, Germany ; Chris Peters, Université Grenoble Alpes, France
    QA 564 C28 2017
    This up-to-date introduction to Griffiths' theory of period maps and period domains focusses on algebraic, group-theoretic and differential geometric aspects. Starting with an explanation of Griffiths' basic theory, the authors go on to introduce spectral sequences and Koszul complexes that are used to derive results about cycles on higher-dimensional algebraic varieties such as the Noether-Lefschetz theorem and Nori's theorem. They explain differential geometric methods, leading up to proofs of Arakelov-type theorems, the theorem of the fixed part and the rigidity theorem. They also use Higgs bundles and harmonic maps to prove the striking result that not all compact quotients of period domains are Khler. This thoroughly revised second edition includes a new third part covering important recent developments, in which the group-theoretic approach to Hodge structures is explained, leading to Mumford-Tate groups and their associated domains, the Mumford-Tate varieties and generalizations of Shimura varieties.

  • Algebraic groups : the theory of group schemes of finite type over a field / J.S. Milne, University of Michigan, Ann Arbor
    QA 564 M525 2017
    Algebraic groups play much the same role for algebraists as Lie groups play for analysts. This book is the first comprehensive introduction to the theory of algebraic group schemes over fields that includes the structure theory of semisimple algebraic groups, and is written in the language of modern algebraic geometry. The first eight chapters study general algebraic group schemes over a field and culminate in a proof of the Barsotti-Chevalley theorem, realizing every algebraic group as an extension of an abelian variety by an affine group. After a review of the Tannakian philosophy, the author provides short accounts of Lie algebras and finite group schemes. The later chapters treat reductive algebraic groups over arbitrary fields, including the Borel-Chevalley structure theory. Solvable algebraic groups are studied in detail. Prerequisites have also been kept to a minimum so that the book is accessible to non-specialists in algebraic geometry.

  • Alice and Bob meet Banach : the interface of asymptotic geometric analysis and quantum information theory / Guillaume Aubrun, Stanisław J. Szarek
    QA 360 A83 2017
    The quest to build a quantum computer is arguably one of the major scientific and technological challenges of the twenty-first century, and quantum information theory (QIT) provides the mathematical framework for that quest. Over the last dozen or so years, it has become clear that quantum information theory is closely linked to geometric functional analysis (Banach space theory, operator spaces, high-dimensional probability), a field also known as asymptotic geometric analysis (AGA). In a nutshell, asymptotic geometric analysis investigates quantitative properties of convex sets, or other geometric structures, and their approximate symmetries as the dimension becomes large. This makes it especially relevant to quantum theory, where systems consisting of just a few particles naturally lead to models whose dimension is in the thousands, or even in the billions.
    Alice and Bob Meet Banach is aimed at multiple audiences connected through their interest in the interface of QIT and AGA: at quantum information researchers who want to learn AGA or apply its tools; at mathematicians interested in learning QIT, especially the part that is relevant to functional analysis/convex geometry/random matrix theory and related areas; and at beginning researchers in either field. Moreover, this user-friendly book contains numerous tables and explicit estimates, with reasonable constants when possible, which make it a useful reference even for established mathematicians generally familiar with the subject.

  • Elementary differential geometry / Andrew Pressley
    QA 641 P68 2012

    Elementary Differential Geometry presents the main results in the differential geometry of curves and surfaces suitable for a first course on the subject. Prerequisites are kept to an absolute minimum - nothing beyond first courses in linear algebra and multivariable calculus - and the most direct and straightforward approach is used throughout.

    New features of this revised and expanded second edition include:

    a chapter on non-Euclidean geometry, a subject that is of great importance in the history of mathematics and crucial in many modern developments. The main results can be reached easily and quickly by making use of the results and techniques developed earlier in the book. Coverage of topics such as: parallel transport and its applications; map colouring; holonomy and Gaussian curvature. Around 200 additional exercises, and a full solutions manual for instructors, available via www.springer.com ul

  • Grete Hermann - between physics and philosophy / Elise Crull, Guido Bacciagaluppi, editors
    QA 29 H36 G74 2016eb

  • Analysis meets geometry the Mikael Passare memorial volume / Mats Andersson [and 4 others], editors
    QA 300.5 A53 2017eb

  • Information technologies and mathematical modelling : queueing theory and applications : 16th International Conference, ITMM 2017, named after A.F. Terpugov, Kazan, Russia, September 29-October 3, 2017, Proceedings / Alexander Dudin, Anatoly Nazarov, Alexander Kirpichnikov (eds.)

  • Hyponormal quantization of planar domains exponential transform in dimension two / Björn Gustafsson, Mihai Putinar

  • Advances in complex analysis and operator theory : festschrift in honor of Daniel Alpay's 60th birthday / Fabrizio Colombo, Irene Sabadini, Daniele C. Struppa, Mihaela B. Vajiac, editors

  • Putnam and beyond / Răzvan Gelca, Titu Andreescu

  • Numerical linear algebra : theory and applications / Larisa Beilina, Evgenii Karchevskii, Mikhail Karchevskii

  • Probability for statisticians / Galen R. Shorack

  • Euclidean distance geometry : an introduction / Leo Liberti, Carlile Lavor

  • Coding Theory and Applications : 5th International Castle Meeting, ICMCTA 2017, Vihula, Estonia, August 28-31, 2017, Proceedings / edited by Ángela I. Barbero, Vitaly Skachek, Øyvind Ytrehus

  • Introduction to Relation Algebras Relation Algebras / by Steven Givant

  • Transactions on petri nets and other models of concurrency XII / Maciej Koutny, Jetty Kleijn, Wojciech Penczek (eds.)

  • Nonlinear reaction-diffusion systems : conditional symmetry, exact solutions and their applications in biology / Roman Cherniha, Vasyl' Davydovych

  • Math tools : 500+ applications in science and arts / Georg Glaeser

  • Ergodic optimization in the expanding case concepts, tools and applications / Eduardo Garibaldi

  • Harmonic and complex analysis in several variables Steven G. Krantz

  • Ginzburg-Landau vortices Fabrice Bethuel, Haim Brezis, Frederic Helein

  • Lie groups, differential equations, and Geometry advances and surveys / Giovanni Falcone, editor

  • Game theory for networks : 7th International EAI Conference, GameNets 2017 Knoxville, TN, USA, May 9, 2017, Proceedings / Lingjie Duan, Anibal Sanjab, Husheng Li, Xu Chen, Donatello Materassi, Rachid Elazouzi (eds.)

  • Nearly pseudo-Kähler manifolds and related special holonomies / Lars Schäfer

  • Ramanujan summation of divergent series / Bernard Candelpergher

  • Introductory statistics and random phenomena : uncertainty, complexity and chaotic behavior in engineering and science / Manfred Denker, Wojbor Woyczynski

  • Exploring the Riemann Zeta function 190 years from Riemann's birth / Hugh Montgomery, Ashkan Nikeghbali, Michael Th. Rassias, editors

  • Hermitian-Grassmannian submanifolds Daegu, Korea, July 2016 / Young Jin Suh...[et al.], editors

  • Mobile point sensors and actuators in the controllability theory of partial differential equations Alexander Y. Khapalov

  • Lecture notes on wavelet transforms / Lokenath Debnath, Firdous A. Shah

  • Optimization and approximation / Pablo Pedregal

  • Geometric invariant theory : over the real and complex numbers / Nolan R. Wallach

  • Stein manifolds and holomorphic mappings the homotopy principle in complex analysis / Franc Forstnerič
page last updated on: Friday 15 December 2017
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