Skip to main content

Books in Mathematics

81-90 of 2667 results in All results

Numerical Control: Part A

  • 1st Edition
  • Volume 23
  • February 15, 2022
  • Emmanuel Trélat + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 8 5 0 5 9 - 9
  • eBook
    9 7 8 - 0 - 3 2 3 - 8 5 3 3 9 - 2
Numerical Control: Part A, Volume 23 in the Handbook of Numerical Analysis series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this volume include Numerics for finite-dimensional control systems, Moments and convex optimization for analysis and control of nonlinear PDEs, The turnpike property in optimal control, Structure-Preserving Numerical Schemes for Hamiltonian Dynamics, Optimal Control of PDEs and FE-Approximation, Filtration techniques for the uniform controllability of semi-discrete hyperbolic equations, Numerical controllability properties of fractional partial differential equations, Optimal Control, Numerics, and Applications of Fractional PDEs, and much more.

Extremal Problems and Inequalities of Markov-Bernstein Type for Algebraic Polynomials

  • 1st Edition
  • February 10, 2022
  • Robert B. Gardner + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 1 9 8 8 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 2 0 0 7 - 1
Inequalities for polynomials and their derivatives are very important in many areas of mathematics, as well as in other computational and applied sciences; in particular they play a fundamental role in approximation theory. Here, not only Extremal Problems and Inequalities of Markov-Bernstein Type for Algebraic Polynomials, but also ones for trigonometric polynomials and related functions, are treated in an integrated and comprehensive style in different metrics, both on general classes of polynomials and on important restrictive classes of polynomials. Primarily for graduate and PhD students, this book is useful for any researchers exploring problems which require derivative estimates. It is particularly useful for those studying inverse problems in approximation theory.

Advances in Computers

  • 1st Edition
  • Volume 124
  • February 4, 2022
  • Suyel Namasudra
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 8 5 6 8 8 - 1
  • eBook
    9 7 8 - 0 - 3 2 3 - 8 5 6 8 9 - 8
Advances in Computers, Volume 124 presents updates on innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on Traffic-Load-Aware Virtual Channel Power-gating in Network-on-Chips, An Efficient DVS Scheme for On-chip Networks, A Power-Performance Balanced Network-on-Chip for Mixed CPU-GPU Systems, Routerless Networks-on-Chip, Routing Algorithm Design for Power- and Temperature-Aware NoCs, Approximate Communication for Energy-Efficient Network-on-Chip, Power-Efficient NoC Design by Partial Topology Reconfiguration, The Design of a Deflection-based Energy-efficient On-chip Network, and Power-Gating in Networks-on-Chip.

Differential Equations with Mathematica

  • 5th Edition
  • January 18, 2022
  • Martha L. Abell + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 4 1 6 0 - 8
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 8 4 3 6 - 2
Differential Equations with Mathematica, Fifth Edition uses the fundamental concepts of the popular platform to solve (analytically, numerically, and/or graphically) differential equations of interest to students, instructors, and scientists. Mathematica’s diversity makes it particularly well suited to performing calculations encountered when solving many ordinary and partial differential equations. In some cases, Mathematica’s built-in functions can immediately solve a differential equation by providing an explicit, implicit, or numerical solution. In other cases, Mathematica can be used to perform the calculations encountered when solving a differential equation. Because one goal of elementary differential equations courses is to introduce students to basic methods and algorithms so that they gain proficiency in them, nearly every topic covered this book introduces basic commands, also including typical examples of their application. A study of differential equations relies on concepts from calculus and linear algebra, so this text also includes discussions of relevant commands useful in those areas. In many cases, seeing a solution graphically is most meaningful, so the book relies heavily on Mathematica’s outstanding graphics capabilities.

Practical Business Statistics

  • 8th Edition
  • November 3, 2021
  • Andrew F. Siegel + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 0 0 2 5 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 0 0 2 6 - 1
Practical Business Statistics, Eighth Edition, offers readers a practical, accessible approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The book fosters deep understanding of both how to learn from data and how to deal with uncertainty, while promoting the use of practical computer applications. This trusted resource teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results. The text uses excellent examples with real world data relating to business sector functional areas such as finance, accounting, and marketing. Written in an engaging style, this timely revision is class-tested and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details.

Sabermetrics

  • 1st Edition
  • October 27, 2021
  • Gabriel B. Costa
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 2 3 4 5 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 2 3 4 6 - 8
Sabermetrics: Baseball, Steroids, and How the Game has Changed Over the Past Two Generations offers an introduction to this increasing area of interest to statisticians, students of the game, and many others. Pairing a primer on the applied math with an overview of the origin of the field and its context within baseball today, the work provides an engaging resource for students and interested readers. It includes coverage of relevant baseball history, Bill James and SABR, broken records and steroids. Drawing on the author’s experience teaching the subject at Seton Hall University since 1988, Sabermetrics also offers practice questions and solutions for class use.

Information Geometry

  • 1st Edition
  • Volume 45
  • September 26, 2021
  • Arni S.R. Srinivasa Rao + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 8 5 5 6 7 - 9
  • eBook
    9 7 8 - 0 - 3 2 3 - 8 5 5 6 8 - 6
The subject of information geometry blends several areas of statistics, computer science, physics, and mathematics. The subject evolved from the groundbreaking article published by legendary statistician C.R. Rao in 1945. His works led to the creation of Cramer-Rao bounds, Rao distance, and Rao-Blackawellization. Fisher-Rao metrics and Rao distances play a very important role in geodesics, econometric analysis to modern-day business analytics. The chapters of the book are written by experts in the field who have been promoting the field of information geometry and its applications.

Introduction to Robust Estimation and Hypothesis Testing

  • 5th Edition
  • September 18, 2021
  • Rand R. Wilcox
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 0 0 9 8 - 8
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 0 0 9 9 - 5
Introduction to Robust Estimating and Hypothesis Testing, Fifth Edition is a useful ‘how-to’ on the application of robust methods utilizing easy-to-use software. This trusted resource provides an overview of modern robust methods, including improved techniques for dealing with outliers, skewed distribution curvature, and heteroscedasticity that can provide substantial gains in power. Coverage includes techniques for comparing groups and measuring effect size, current methods for comparing quantiles, and expanded regression methods for both parametric and nonparametric techniques. The practical importance of these varied methods is illustrated using data from real world studies. Over 1700 R functions are included to support comprehension and practice.

An Introduction to Parallel Programming

  • 2nd Edition
  • August 27, 2021
  • Peter Pacheco + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 4 6 0 5 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 4 6 1 8 - 0
An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs.

New Numerical Scheme with Newton Polynomial

  • 1st Edition
  • June 10, 2021
  • Abdon Atangana + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 8 5 4 4 8 - 1
  • eBook
    9 7 8 - 0 - 3 2 3 - 8 5 8 0 2 - 1
New Numerical Scheme with Newton Polynomial: Theory, Methods, and Applications provides a detailed discussion on the underpinnings of the theory, methods and real-world applications of this numerical scheme. The book's authors explore how this efficient and accurate numerical scheme is useful for solving partial and ordinary differential equations, as well as systems of ordinary and partial differential equations with different types of integral operators. Content coverage includes the foundational layers of polynomial interpretation, Lagrange interpolation, and Newton interpolation, followed by new schemes for fractional calculus. Final sections include six chapters on the application of numerical scheme to a range of real-world applications. Over the last several decades, many techniques have been suggested to model real-world problems across science, technology and engineering. New analytical methods have been suggested in order to provide exact solutions to real-world problems. Many real-world problems, however, cannot be solved using analytical methods. To handle these problems, researchers need to rely on numerical methods, hence the release of this important resource on the topic at hand.