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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.

  • Solving partial differential equation applications with PDE2D / Granville Sewell

    Solve engineering and scientific partial differential equation applications using the PDE2D software developed by the author

    Solving Partial Differential Equation Applications with PDE2D derives and solves a range of ordinary and partial differential equation (PDE) applications. This book describes an easy-to-use, general purpose, and time-tested PDE solver developed by the author that can be applied to a wide variety of science and engineering problems. The equations studied include many time-dependent, steady-state and eigenvalue applications such as diffusion, heat conduction and convection, image processing, math finance, fluid flow, and elasticity and quantum mechanics, in one, two, and three space dimensions.

    The author begins with some simple "0D" problems that give the reader an opportunity to become familiar with PDE2D before proceeding to more difficult problems. The book ends with the solution of a very difficult nonlinear problem, which requires a moving adaptive grid because the solution has sharp, moving peaks. This important book:

    Describes a finite-element program, PDE2D, developed by the author over the course of 40 years Derives the ordinary and partial differential equations, with appropriate initial and boundary conditions, for a wide variety of applications Offers free access to the Windows version of the PDE2D software through the author's website at www.pde2d.com Offers free access to the Linux and MacOSX versions of the PDE2D software also, for instructors who adopt the book for their course and contact the author at www.pde2d.com

    Written for graduate applied mathematics or computational science classes, Solving Partial Differential Equation Applications with PDE2D offers students the opportunity to actually solve interesting engineering and scientific applications using the accessible PDE2D.

  • Advanced time series data analysis : forecasting using EViews / I. Gusti Ngurah Agung

    Introduces the latest developments in forecasting in advanced quantitative data analysis

    This book presents advanced univariate multiple regressions, which can directly be used to forecast their dependent variables, evaluate their in-sample forecast values, and compute forecast values beyond the sample period. Various alternative multiple regressions models are presented based on a single time series, bivariate, and triple time-series, which are developed by taking into account specific growth patterns of each dependent variables, starting with the simplest model up to the most advanced model. Graphs of the observed scores and the forecast evaluation of each of the models are offered to show the worst and the best forecast models among each set of the models of a specific independent variable.

    Advanced Time Series Data Analysis: Forecasting Using EViews provides readers with a number of modern, advanced forecast models not featured in any other book. They include various interaction models, models with alternative trends (including the models with heterogeneous trends), and complete heterogeneous models for monthly time series, quarterly time series, and annually time series. Each of the models can be applied by all quantitative researchers.

    Presents models that are all classroom tested Contains real-life data samples Contains over 350 equation specifications of various time series models Contains over 200 illustrative examples with special notes and comments Applicable for time series data of all quantitative studies

    Advanced Time Series Data Analysis: Forecasting Using EViews will appeal to researchers and practitioners in forecasting models, as well as those studying quantitative data analysis. It is suitable for those wishing to obtain a better knowledge and understanding on forecasting, specifically the uncertainty of forecast values.

  • Mathematics for dyslexics and dyscalculics : a teaching handbook / Steve Chinn and Richard E. Ashcroft

    A seminal handbook in the field for more than 20 years, this new and updated edition of Mathematics for Dyslexics and Dyscalculics contains the latest research and best practices for helping learners with numerical and mathematical difficulties.

    Provides a complete overview of theory and research in the fields of dyslexia and dyscalculia, along with detailed yet pragmatic methods to apply in the classroom Contains enhanced coverage of place value and the role of the decimal point, why fractions can challenge a developed logic for arithmetic, and the complexity of time along with new material on addressing anxiety, fear, motivation, and resilience in the classroom; and links to new resources including standardized tests and recommended reading lists Written by two mathematics teachers with 50 years of teaching experience between them, much of it in specialist settings for students with specific learning difficulties Offers effective teaching strategies for learners of all ages in a structured but accessible format

  • Bayesian statistics the fun way : understanding statistics and probability with Star Wars, LEGO, and rubber ducks / by Will Kurt
    Many professionals use statistics and probabilities in their everyday work but struggle to make much sense of what they're doing. Bayesian Statistics the Fun Way gets you understanding the theory behind data analysis without making you slog through a load of dry concepts first - with no programming experience necessary. Fun and unusual examples are used to illustrate otherwise dry statistical concepts. You'll learn about probability with LEGO, statistics through Star Wars, distributions with bomb fuses, estimation through precipitation, and come away with some strong mathematical reasoning skills. You'll start with learning about priors and calculating simple probabilities and move on to measuring spreads and distributions, modelling data, simulating monte carlo scenarios, handling irrational data; you'll even get a crash course in R basics. This is a super approachable book for people who need to do data science and probability work in their lives, but never got a good grip on the underlying theory.

  • The golden ticket : P, NP, and the search for the impossible / Lance Fortnow

    The P-NP problem is the most important open problem in computer science, if not all of mathematics. Simply stated, it asks whether every problem whose solution can be quickly checked by computer can also be quickly solved by computer. The Golden Ticket provides a nontechnical introduction to P-NP, its rich history, and its algorithmic implications for everything we do with computers and beyond. Lance Fortnow traces the history and development of P-NP, giving examples from a variety of disciplines, including economics, physics, and biology. He explores problems that capture the full difficulty of the P-NP dilemma, from discovering the shortest route through all the rides at Disney World to finding large groups of friends on Facebook. The Golden Ticket explores what we truly can and cannot achieve computationally, describing the benefits and unexpected challenges of this compelling problem.

  • The perils of applying AI prediction to complex decisions : Recent research sheds light on the negative outcomes of blurring correlation and cause when applying machine learning / Susan Athey, Frieda Klotz

  • Implementing CDISC using SAS : an end-to-end guide / Chris Holland, Jack Shostak

  • R cookbook : proven recipes for data analysis, statistics, and graphics / J.D. Long and Paul Teetor
    QA 276.45 R3L66 2019eb

  • Geometry essentials for dummies

    Geometry Essentials For Dummies (9781119590446) was previously published as Geometry Essentials For Dummies (9781118068755). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.

    Just the critical concepts you need to score high in geometry

    This practical, friendly guide focuses on critical concepts taught in a typical geometry course, from the properties of triangles, parallelograms, circles, and cylinders, to the skills and strategies you need to write geometry proofs. Geometry Essentials For Dummies is perfect for cramming or doing homework, or as a reference for parents helping kids study for exams.

    Get down to the basics -- get a handle on the basics of geometry, from lines, segments, and angles, to vertices, altitudes, and diagonals Conquer proofs with confidence -- follow easy-to-grasp instructions for understanding the components of a formal geometry proof Take triangles in strides -- learn how to take in a triangle's sides, analyze its angles, work through an SAS proof, and apply the Pythagorean Theorem Polish up on polygons -- get the lowdown on quadrilaterals and other polygons: their angles, areas, properties, perimeters, and much more


    Algebra II Essentials For Dummies (9781119590873) was previously published as Algebra II Essentials For Dummies (9780470618400). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.

    Passing grades in two years of algebra courses are required for high school graduation. Algebra II Essentials For Dummies covers key ideas from typical second-year Algebra coursework to help students get up to speed. Free of ramp-up material, Algebra II Essentials For Dummies sticks to the point, with content focused on key topics only. It provides discrete explanations of critical concepts taught in a typical Algebra II course, from polynomials, conics, and systems of equations to rational, exponential, and logarithmic functions. This guide is also a perfect reference for parents who need to review critical algebra concepts as they help students with homework assignments, as well as for adult learners headed back into the classroom who just need a refresher of the core concepts.

    The Essentials For Dummies Series
    Dummies is proud to present our new series, The Essentials For Dummies . Now students who are prepping for exams, preparing to study new material, or who just need a refresher can have a concise, easy-to-understand review guide that covers an entire course by concentrating solely on the most important concepts. From algebra and chemistry to grammar and Spanish, our expert authors focus on the skills students most need to succeed in a subject.

  • Advanced numerical and semi analytical methods for differential equations / Snehashish Chakraverty (National Institute of Technology Rourkela, Odisha, India) [and three others]

    Examines numerical and semi-analytical methods for differential equations that can be used for solving practical ODEs and PDEs

    This student-friendly book deals with various approaches for solving differential equations numerically or semi-analytically depending on the type of equations and offers simple example problems to help readers along.

    Featuring both traditional and recent methods, Advanced Numerical and Semi Analytical Methods for Differential Equations begins with a review of basic numerical methods. It then looks at Laplace, Fourier, and weighted residual methods for solving differential equations. A new challenging method of Boundary Characteristics Orthogonal Polynomials (BCOPs) is introduced next. The book then discusses Finite Difference Method (FDM), Finite Element Method (FEM), Finite Volume Method (FVM), and Boundary Element Method (BEM). Following that, analytical/semi analytic methods like Akbari Ganji's Method (AGM) and Exp-function are used to solve nonlinear differential equations. Nonlinear differential equations using semi-analytical methods are also addressed, namely Adomian Decomposition Method (ADM), Homotopy Perturbation Method (HPM), Variational Iteration Method (VIM), and Homotopy Analysis Method (HAM). Other topics covered include: emerging areas of research related to the solution of differential equations based on differential quadrature and wavelet approach; combined and hybrid methods for solving differential equations; as well as an overview of fractal differential equations. Further, uncertainty in term of intervals and fuzzy numbers have also been included, along with the interval finite element method. This book:

    Discusses various methods for solving linear and nonlinear ODEs and PDEs Covers basic numerical techniques for solving differential equations along with various discretization methods Investigates nonlinear differential equations using semi-analytical methods Examines differential equations in an uncertain environment Includes a new scenario in which uncertainty (in term of intervals and fuzzy numbers) has been included in differential equations Contains solved example problems, as well as some unsolved problems for self-validation of the topics covered

    Advanced Numerical and Semi Analytical Methods for Differential Equations is an excellent text for graduate as well as post graduate students and researchers studying various methods for solving differential equations, numerically and semi-analytically.

  • Statistical analysis with missing data / Roderick J.A. Little, Donald B. Rubin
    QA 276 L57 2020
    An up-to-date, comprehensive treatment of a classic text on missing data in statistics

    The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems.

    Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing complete-case and available-case analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics.
    An updated "classic" written by renowned authorities on the subject Features over 150 exercises (including many new ones) Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methods Revises previous topics based on past student feedback and class experience Contains an updated and expanded bibliography
    The authors were awarded The Karl Pearson Prize in 2017 by the International Statistical Institute, for a research contribution that has had profound influence on statistical theory, methodology or applications. Their work "has been no less than defining and transforming." (ISI)

    Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry.

  • Practical applications of Bayesian reliability / Yan Liu, Athula I. Abeyratne

    Demonstrates how to solve reliability problems using practical applications of Bayesian models

    This self-contained reference provides fundamental knowledge of Bayesian reliability and utilizes numerous examples to show how Bayesian models can solve real life reliability problems. It teaches engineers and scientists exactly what Bayesian analysis is, what its benefits are, and how they can apply the methods to solve their own problems. To help readers get started quickly, the book presents many Bayesian models that use JAGS and which require fewer than 10 lines of command. It also offers a number of short R scripts consisting of simple functions to help them become familiar with R coding.

    Practical Applications of Bayesian Reliability starts by introducing basic concepts of reliability engineering, including random variables, discrete and continuous probability distributions, hazard function, and censored data. Basic concepts of Bayesian statistics, models, reasons, and theory are presented in the following chapter. Coverage of Bayesian computation, Metropolis-Hastings algorithm, and Gibbs Sampling comes next. The book then goes on to teach the concepts of design capability and design for reliability; introduce Bayesian models for estimating system reliability; discuss Bayesian Hierarchical Models and their applications; present linear and logistic regression models in Bayesian Perspective; and more.

    Provides a step-by-step approach for developing advanced reliability models to solve complex problems, and does not require in-depth understanding of statistical methodology Educates managers on the potential of Bayesian reliability models and associated impact Introduces commonly used predictive reliability models and advanced Bayesian models based on real life applications Includes practical guidelines to construct Bayesian reliability models along with computer codes for all of the case studies JAGS and R codes are provided on an accompanying website to enable practitioners to easily copy them and tailor them to their own applications

    Practical Applications of Bayesian Reliability is a helpful book for industry practitioners such as reliability engineers, mechanical engineers, electrical engineers, product engineers, system engineers, and materials scientists whose work includes predicting design or product performance.

  • Pre-Calculus Workbook For Dummies / by Mary Jane Sterling

    Get a handle on pre-calculus in a pinch!

    If you're tackling pre-calculus and want to up your chances of doing your very best, this hands-on workbook is just what you need to grasp and retain the concepts that will help you succeed. Inside, you'll get basic content review for every concept, paired with examples and plenty of practice problems, ample workspace, step-by-step solutions, and thorough explanations for each and every problem.

    In Pre-Calculus Workbook For Dummies , you'll also get free access to a quiz for every chapter online! With all of the lessons and practice offered, you'll memorize the most frequently used formulas, see how to avoid common mistakes, understand tricky trig proofs, and get the inside scoop on key concepts such as quadratic equations.

    Get ample review before jumping into a calculus course Supplement your classroom work with easy-to-follow guidance Make complex formulas and concepts more approachable Be prepared to further your mathematics studies

    Whether you're enrolled in a pre-calculus class or you're looking for a refresher as you prepare for a calculus course, this is the perfect study companion to make it easier.

  • Probability, random variables, statistics, and random processes : fundamentals & applications / Ali Grami
    QA 273 A5G73 2020

    Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of the fundamental concepts that are extensively used in various Engineering disciplines as well as in a variety of programs in Life and Social Sciences. The text provides students with the requisite building blocks of knowledge they require to understand and progress in their areas of interest. With a simple, clear-cut style of writing, the intuitive explanations, insightful examples, and practical applications are the hallmarks of this book.

    The text consists of twelve chapters divided into four parts. Part-I, Probability (Chapters 1 - 3), lays a solid groundwork for probability theory, and introduces applications in counting, gambling, reliability, and security. Part-II, Random Variables (Chapters 4 - 7), discusses in detail multiple random variables, along with a multitude of frequently-encountered probability distributions. Part-III, Statistics (Chapters 8 - 10), highlights estimation and hypothesis testing. Part-IV, Random Processes (Chapters 11 - 12), delves into the characterization and processing of random processes. Other notable features include:

    Most of the text assumes no knowledge of subject matter past first year calculus and linear algebra With its independent chapter structure and rich choice of topics, a variety of syllabi for different courses at the junior, senior, and graduate levels can be supported A supplemental website includes solutions to about 250 practice problems, lecture slides, and figures and tables from the text

    Given its engaging tone, grounded approach, methodically-paced flow, thorough coverage, and flexible structure, Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications clearly serves as a must textbook for courses not only in Electrical Engineering, but also in Computer Engineering, Software Engineering, and Computer Science.

  • Introduction to stochastic differential equations with applications to modelling in biology and finance / Carlos A. Braumann
    QA 274.23 B73 2019

    A comprehensive introduction to the core issues of stochastic differential equations and their effective application

    Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance offers a comprehensive examination to the most important issues of stochastic differential equations and their applications. The author -- a noted expert in the field -- includes myriad illustrative examples in modelling dynamical phenomena subject to randomness, mainly in biology, bioeconomics and finance, that clearly demonstrate the usefulness of stochastic differential equations in these and many other areas of science and technology.

    The text also features real-life situations with experimental data, thus covering topics such as Monte Carlo simulation and statistical issues of estimation, model choice and prediction. The book includes the basic theory of option pricing and its effective application using real-life. The important issue of which stochastic calculus, Itô or Stratonovich, should be used in applications is dealt with and the associated controversy resolved. Written to be accessible for both mathematically advanced readers and those with a basic understanding, the text offers a wealth of exercises and examples of application. This important volume:

    Contains a complete introduction to the basic issues of stochastic differential equations and their effective application Includes many examples in modelling, mainly from the biology and finance fields Shows how to: Translate the physical dynamical phenomenon to mathematical models and back, apply with real data, use the models to study different scenarios and understand the effect of human interventions Conveys the intuition behind the theoretical concepts Presents exercises that are designed to enhance understanding Offers a supporting website that features solutions to exercises and R code for algorithm implementation

    Written for use by graduate students, from the areas of application or from mathematics and statistics, as well as academics and professionals wishing to study or to apply these models, Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance is the authoritative guide to understanding the issues of stochastic differential equations and their application.

  • Matrix differential calculus with applications in statistics and econometrics / Jan R. Magnus and Heinz Neudecker
    QA 188 M34 2019

    A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics

    This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.

    Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.

    Fulfills the need for an updated and unified treatment of matrix differential calculus Contains many new examples and exercises based on questions asked of the author over the years Covers new developments in field and features new applications Written by a leading expert and pioneer of the theory Part of the Wiley Series in Probability and Statistics

    Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.

  • Multivariate time series analysis and applications / William W.S. Wei

    An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the field

    Following the highly successful and much lauded book, Time Series Analysis--Univariate and Multivariate Methods , this new work by William W.S. Wei focuses on high dimensional multivariate time series, and is illustrated with numerous high dimensional empirical time series. Beginning with the fundamentalconcepts and issues of multivariate time series analysis,this book covers many topics that are not found in general multivariate time series books. Some of these are repeated measurements, space-time series modelling, and dimension reduction. The book also looks at vector time series models, multivariate time series regression models, and principle component analysis of multivariate time series. Additionally, it provides readers with information on factor analysis of multivariate time series, multivariate GARCH models, and multivariate spectral analysis of time series.

    With the development of computers and the internet, we have increased potential for data exploration. In the next few years, dimension will become a more serious problem. Multivariate Time Series Analysis and its Applications provides some initial solutions, which may encourage the development of related software needed for the high dimensional multivariate time series analysis.

    Written by bestselling author and leading expert in the field Covers topics not yet explored in current multivariate books Features classroom tested material Written specifically for time series courses

    Multivariate Time Series Analysis and its Applications is designed for an advanced time series analysis course. It is a must-have for anyone studying time series analysis and is also relevant for students in economics, biostatistics, and engineering.

  • Carleman estimates for second order partial differential operators and applications : a unified approach / Xiaoyu Fu, Qi Lü, Xu Zhang

  • Nonlinear equations for beams and degenerate plates with piers / Maurizio Garrione, Filippo Gazzola

  • Discrete energy on rectifiable sets / Sergiy V. Borodachov, Douglas P. Hardin, Edward B. Saff

  • Introduction to ℓ²-invariants by Holger Kammeyer

  • Integrodifference equations in spatial ecology Frithjof Lutscher

  • Temporal network theory / edited by Petter Holme, Jari Saramäki

  • An introduction to the Kolmogorov-Bernoulli equivalence / Gabriel Ponce, Régis Varão
    QA 313 P66 2019eb

  • Mathematical optimization theory and operations research : 18th International Conference, MOTOR 2019, Ekaterinburg, Russia, July 8-12, 2019 : revised selected papers / Igor Bykadorov, Vitaly Strusevich, Tatiana Tchemisova (eds.)
    QA 402.5 I58 2019eb

  • Foundations of hyperbolic manifolds / John G. Ratcliffe

  • Semilocal categories and modules with semilocal endomorphism rings / Alberto Facchini
    QA 247 F33 2019eb

  • Topics in classical and modern analysis in memory of Yingkang Hu / Martha Abell, Emil Iacob, Alex Stokolos, Sharon Taylor, Sergey Tokhonov, Jiehua Zhu, editors

  • From Domination to Coloring : Stephen Hedetniemi's Graph Theory and Beyond / Gary Chartrand, Teresa W. Haynes, Michael A. Henning, Ping Zhang
    QA 166 C43 2019

  • Stephen of Pisa and Antioch : Liber Mamonis : An Introduction to Ptolemaic Cosmology and Astronomy from the Early Crusader States / Dirk Grupe
    QB 23 G78 2019

  • Higher Segal spaces / Tobias Dyckerhoff, Mikhail Kapranov
    QA 169 D93 2019

  • Multilevel strategic interaction game models for complex networks / Eitan Altman, Konstantin Avrachenkov, Francesco De Pellegrini, Rachid El-Azouzi, Huijuan Wang, editors
    QA 270 M85 2019eb

  • Theory and applications of time series analysis : selected contributions from ITISE 2018 / Olga Valenzuela, Fernando Rojas, Héctor Pomares, Ignacio Rojas, editors

  • Representations and nilpotent orbits of Lie algebraic systems : in honour of the 75th birthday of Tony Joseph / Maria Gorelik, Vladimir Hinich, Anna Melnikov, editors

  • Sojourns in probability theory and statistical physics. a festschrift for Charles M. Newman / Vladas Sidoravicius, editor

  • Sojourns in probability theory and statistical physics. a festschrift for Charles M. Newman / Vladas Sidoravicius, editor

  • Sojourns in probability theory and statistical physics. a festschrift for Charles M. Newman / Vladas Sidoravicius, editors

  • Geometry in history / S.G. Dani, Athanase Papadopoulos, editors
    QA 443.5 G46 2019eb

  • Mordell-Weil lattices / Matthias Schütt, Tetsuji Shioda

  • Numerical Methods for Fractional Differentiation Kolade M. Owoladi, Abdon Atangana

  • Topics in Clifford Analysis Special Volume in Honor of Wolfgang Sprößig / Swanhild Bernstein, editor

  • Stochastic Models, Statistics and Their Applications Dresden, Germany, March 2019 / Ansgar Steland, Ewaryst Rafajłowicz, Ostap Okhrin, editors

  • Game theory : third East Asia International Conference, EAGT 2019, Fuzhou, China, March 7-9, 2019, Revised selected papers / edited by Deng-Feng Li

  • Birational geometry of hypersurfaces : Gargnano del Garda, Italy, 2018 / Andreas Hochenegger, Manfred Lehn, Paolo Stellari, editors

  • Numerical geometry, grid generation and scientific computing : proceedings of the 9th International Conference, NUMGRID 2018 / Voronoi 150, celebrating the 150th anniversary of G.F. Voronoi, Moscow, Russia, December 2018 / Vladimir A. Garanzha, Lennard Kamenski, Hang Si, editors

  • Applications in statistical computing : from music data analysis to industrial quality improvement / Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi, editors

  • Algorithmic decision theory : 6th International Conference, ADT 2019, Durham, NC, USA, October 25-27, 2019, Proceedings / Saša Pekeč, Kristen Brent Venable (eds.)

  • Dynamical systems, bifurcation analysis and applications : Penang, Malaysia, August 6-13, 2018 / Mohd Hafiz Mohd, Norazrizal Aswad Abdul Rahman, Nur Nadiah Abd Hamid, Yazariah Mohd Yatim, editors

  • Dimension theory : a selection of theorems and counterexamples / Michael G. Charalambous

  • Linear time series with MATLAB and OCTAVE / Víctor Gómez

  • Delays and interconnections : methodology, algorithms and applications / Giorgio Valmorbida, Alexandre Seuret, Islam Boussaada, Rifat Sipahi, editors

  • Mathesis universalis, computability and proof Stefania Centrone, Sara Negri, Deniz Sarikaya, Peter M. Schuster, editors

  • Weyl and the problem of space : from science to philosophy / Julien Bernard, Carlos Lobo, editors

  • Proof technology in mathematics research and teaching / edited by Gila Hanna, David A. Reid, Michael de Villiers, editors

  • Transnational synergies in school mathematics and science debates / Roger Openshaw, Margaret Walshaw

  • Contributions to location analysis : in honor of Zvi Drezner's 75th birthday / H.A. Eiselt, Vladimir Marianov, editors

  • The Dirichlet space and related function spaces / Nicola Arcozzi, Richard Rochberg, Eric T. Sawyer, Brett D. Wick
    QA 323 D55 2019
    The study of the classical Dirichlet space is one of the central topics on the intersection of the theory of holomorphic functions and functional analysis. It was introduced about100 years ago and continues to be an area of active current research. The theory is related to such important themes as multipliers, reproducing kernels, and Besov spaces, among others. The authors present the theory of the Dirichlet space and related spaces starting with classical results and including some quite recent achievements like Dirichlet-type spaces of functions in several complex variables and the corona problem. The first part of this book is an introduction to the function theory and operator theory of the classical Dirichlet space, a space of holomorphic functions on the unit disk defined by a smoothness criterion. The Dirichlet space is also a Hilbert space with a reproducing kernel, and is the model for the dyadic Dirichlet space, a sequence space defined on the dyadic tree. These various viewpoints are used to study a range of topics including the Pick property, multipliers, Carleson measures, boundary values, zero sets, interpolating sequences, the local Dirichlet integral, shift invariant subspaces, and Hankel forms. Recurring themes include analogies, sometimes weak and sometimes strong, with the classical Hardy space; and the analogy with the dyadic Dirichlet space. The final chapters of the book focus on Besov spaces of holomorphic functions on the complex unit ball, a class of Banach spaces generalizing the Dirichlet space. Additional techniques are developed to work with the nonisotropic complex geometry, including a useful invariant definition of local oscillation and a sophisticated variation on the dyadic Dirichlet space. Descriptions are obtained of multipliers, Carleson measures, interpolating sequences, and multiplier interpolating sequences; $\overline\partial$ estimates are obtained to prove corona theorems.

  • Strict convexity and complex strict convexity : theory and applications / Vasile I. Istrățescu
    QA 322.2 I83 1984
    This important work provides a comprehensive overview of the properties of Banachspaces related to strict convexity and a survey of significant applications-uniting a wealthof information previously scattered throughout the mathematical literature in a well-organized,accessible format.After introducing the subject through a discussion of the basic results of linear functionalanalysis, this unique book proceeds to investigate the characteristics of strictly convexspaces and related classes, including uniformly convex spaces, and examine important applicationsregarding approximation theory and fixed point theory. Following this extensivetreatment, the book discusses complex strictly convex spaces and related spaces- alsowith applications. Complete, clearly elucidated proofs accompany results throughout thebook, and ample references are provided to aid further research of the subject.Strict Convexity and Complex Strict Convexity is essential fot mathematicians and studentsinterested in geometric theory of Banach spaces and applications to approximationtheory and fixed point theory, and is of great value to engineers working in optimizationstudies. In addition, this volume serves as an excellent text for a graduate course inGeometric Theory of Banach Spaces.

  • The ruler in geometrical constructions / by A.S. Smogorzhevskii ; translated from the Russian by Halina Moss ; translation editor, Ian N. Sneddon
    QA 471 S573 1961

  • Mathematics instruction : early childhood / William D. McKillip, Edward J. Davis ; [ill., Victoria Christian]
    QA 135.5 M24

  • Conference record of the 1973 International Symposium on Multiple-Valued Logic : Toronto, Canada, May 24-25, 1973 / sponsored by the University of Toronto [and others]
    QA 267 I61 1973

  • Elements of analytical dynamics / by Rudolph Kurth
    QA 611.5 K87 1976

  • Large deviations / Frank den Hollander
    QA 273.67 H65 2000
    This volume offers an introduction to large deviations. It is divided into two parts: theory and applications. Basic large deviation theorems are presented for i.i.d. sequences, Markov sequences, and sequences with moderate dependence. The rate function is computed explicitly. The theory is explained without too much emphasis on technicalities. Also included is an outline of general definitions and theorems. The goal is to expose the unified theme that gives large deviation theory its overall structure, which can be made to work in many concrete cases.

  • Introduction to probability and statistics / William Mendenhall, University of Florida, Emeritus, S. Ejaz Ahmed, Brock University, Robert J. Beaver, University of California, Riverside, Barbara M. Beaver, University of California, Riverside
    QA 276 M42 2018
    In the technologically advanced world of today, we encounter data and statistics daily. From news outlets to retail to social media, it is becoming ever more important to understand statistics and how they are used. Introduction to Probability and Statistics is written to help "train your brain" for statistical thinking and understanding, a theme central to this 4th Canadian Edition. This text contains full coverage of descriptive and inferential statistics while taking a user-friendly approach to help students practice, understand and connect to statistical thinking. The 4th Canadian Edition aims to bolster student success with exercises that encourage students to use the breadth of their knowledge and develop strong conceptual foundations. Distinctly Canadian and engaging examples and data, such as that from social media, make Introduction to Probability and Statistics relevant and modern for today's Canadian students and instructors.

  • Category theory applied to computation and control : proceedings of the first international symposium, San Francisco, February 25-26, 1974 / edited by E.G. Manes
    QA 267 C35
    Presents the results of a symposium which brought together scientists interested in applying modern algebraic techniques to problems in control & computer science.

  • Fast start advanced calculus / Daniel Ashlock
    QA 303.2 A754 2019eb

    This book continues the material in two early Fast Start calculus volumes to include multivariate calculus, sequences and series, and a variety of additional applications.

    These include partial derivatives and the optimization techniques that arise from them, including Lagrange multipliers. Volumes of rotation, arc length, and surface area are included in the additional applications of integration. Using multiple integrals, including computing volume and center of mass, is covered. The book concludes with an initial treatment of sequences, series, power series, and Taylor's series, including techniques of function approximation.

  • Fast start integral calculus / Daniel Ashlock
    QA 308 A754 2019eb

    This book introduces integrals, the fundamental theorem of calculus, initial value problems, and Riemann sums.

    It introduces properties of polynomials, including roots and multiplicity, and uses them as a framework for introducing additional calculus concepts including Newton's method, L'Hôpital's Rule, and Rolle's theorem. Both the differential and integral calculus of parametric, polar, and vector functions are introduced. The book concludes with a survey of methods of integration, including u -substitution, integration by parts, special trigonometric integrals, trigonometric substitution, and partial fractions.

  • Fast start differential calculus / Daniel Ashlock
    QA 304 A754 2019eb

    This book reviews the algebraic prerequisites of calculus, including solving equations, lines, quadratics, functions, logarithms, and trig functions.

    It introduces the derivative using the limit-based definition and covers the standard function library and the product, quotient, and chain rules. It explores the applications of the derivative to curve sketching and optimization and concludes with the formal definition of the limit, the squeeze theorem, and the mean value theorem.

  • Generating functions in engineering and the applied sciences / Rajan Chattamvelli, Ramalingam Shanmugam
    QA 353 G44C534 2019eb

    This is an introductory book on generating functions (GFs) and their applications.

    It discusses commonly encountered generating functions in engineering and applied sciences, such as ordinary generating functions (OGF), exponential generating functions (EGF), probability generating functions (PGF), etc. Some new GFs like Pochhammer generating functions for both rising and falling factorials are introduced in Chapter 2. Two novel GFs called "mean deviation generating function" (MDGF) and "survival function generating function" (SFGF), are introduced in Chapter 3. The mean deviation of a variety of discrete distributions are derived using the MDGF. The last chapter discusses a large number of applications in various disciplines including algebra, analysis of algorithms, polymer chemistry, combinatorics, graph theory, number theory, reliability, epidemiology, bio-informatics, genetics, management, economics, and statistics.

    Some background knowledge on GFs is often assumed for courses in analysis of algorithms, advanced data structures, digital signal processing (DSP), graph theory, etc. These are usually provided by either a course on "discrete mathematics" or "introduction to combinatorics." But, GFs are also used in automata theory, bio-informatics, differential equations, DSP, number theory, physical chemistry, reliability engineering, stochastic processes, and so on. Students of these courses may not have exposure to discrete mathematics or combinatorics. This book is written in such a way that even those who do not have prior knowledge can easily follow through the chapters, and apply the lessons learned in their respective disciplines. The purpose is to give a broad exposure to commonly used techniques of combinatorial mathematics, highlighting applications in a variety of disciplines.

  • The lognormal distribution : with special references to its uses in economics / by J. Aitchison and J.A.C. Brown
    QA 276 A311 1963

  • West Coast 123s
    QA 113 A823 2019eb

    Hooray! Time for a new and colourful 123 adventure with bestselling children's author and illustrator Jocey Asnong, along the remarkable west coast of Canada.

    Jocey Asnong's vibrant and whimsical illustrations take readers kayaking through Cowichan Bay, surfing with starfish and sea otters at Tofino, and swimming with sea wolves in the Great Bear Rainforest. From carving through fresh powder at Whistler Blackcomb to treasure hunting at the bottom of the Salish Sea, this early concept board book in number recognition and counting is an excellent companion to Asnong's West Coast ABCs , as she continues showcasing the diverse marine mammals, ocean organisms, birds and other species that are unique to this region.

  • Pairwise multiple comparisons theory and computation / Taka-aki Shiraishi, Hiroshi Sugiura, Shin-ichi Matsuda

  • A model-theoretic approach to proof theory Henryk Kotlarski, author

  • Introduction to numerical methods for variational problems Hans Petter Langtangen, Kent-Andre Mardal

  • 500 examples and problems of applied differential equations Ravi P. Agarwal, Simona Hodis, Donal O'Regan

  • Frontiers of dynamic games Game Theory and Management, St. Petersburg, 2018 / Leon A. Petrosyan, Vladimir V. Mazalov, Nikolay A. Zenkevich, editors

  • On Hilbert-type and Hardy-type integral inequalities and applications Bicheng Yang, Michael Th. Rassias

  • Bayesian optimization and data science Francesco Archetti, Antonio Candelieri

  • Selected essays on pre- and early modern mathematical practice Jens Høyrup
Updated: Saturday 14 December 2019
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