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Books in Applied mathematics

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41-50 of 143 results in All results

Navier—Stokes Equations

  • 2nd Edition
  • February 16, 2016
  • Roger Temam
  • J. L. Lions + 2 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 5 6 8 5 - 6
Navier-Stokes Equations: Theory and Numerical Analysis focuses on the processes, methodologies, principles, and approaches involved in Navier-Stokes equations, computational fluid dynamics (CFD), and mathematical analysis to which CFD is grounded. The publication first takes a look at steady-state Stokes equations and steady-state Navier-Stokes equations. Topics include bifurcation theory and non-uniqueness results, discrete inequalities and compactness theorems, existence and uniqueness theorems, discretization of Stokes equations, existence and uniqueness for the Stokes equations, and function spaces. The text then examines the evolution of Navier-Stokes equations, including linear case, compactness theorems, alternate proof of existence by semi-discretization, and discretization of the Navier-Stokes equations. The book ponders on the approximation of the Navier-Stokes equations by the projection and compressibility methods; properties of the curl operator and application to the steady-state Navier-Stokes equations; and implementation of non-conforming linear finite elements. The publication is a valuable reference for researchers interested in the theory and numerical analysis of Navier-Stokes equations.

Advances in Mathematical Chemistry and Applications: Volume 2

  • 1st Edition
  • January 18, 2016
  • Subhash C. Basak + 2 more
  • English
  • Paperback
    9 7 8 - 1 - 6 8 1 0 8 - 0 5 3 - 6
  • eBook
    9 7 8 - 1 - 6 8 1 0 8 - 0 5 2 - 9
Advances in Mathematical Chemistry and Applications highlights the recent progress in the emerging discipline of discrete mathematical chemistry. Editors Subhash C. Basak, Guillermo Restrepo, and Jose Luis Villaveces have brought together 27 chapters written by 68 internationally renowned experts in these two volumes. Each volume comprises a wise integration of mathematical and chemical concepts and covers numerous applications in the field of drug discovery, bioinformatics, chemoinformatics, computational biology, mathematical proteomics, and ecotoxicology. Volume 2 explores deeper the topics introduced in Volume 1, with numerous additional topics such as topological approaches for classifying fullerene isomers; chemical reaction networks; discrimination of small molecules using topological molecular descriptors; GRANCH methods for the mathematical characterization of DNA, RNA and protein sequences; linear regression methods and Bayesian techniques; in silico toxicity prediction methods; drug design; integration of bioinformatics and systems biology, molecular docking, and molecular dynamics; metalloenzyme models; protein folding models; molecular periodicity; generalized topologies and their applications; and many more.

A Practical Approach to Dynamical Systems for Engineers

  • 1st Edition
  • November 19, 2015
  • Patricia Mellodge
  • English
  • Hardback
    9 7 8 - 0 - 0 8 - 1 0 0 2 0 2 - 5
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 0 2 2 4 - 7
A Practical Approach to Dynamical Systems for Engineers takes the abstract mathematical concepts behind dynamical systems and applies them to real-world systems, such as a car traveling down the road, the ripples caused by throwing a pebble into a pond, and a clock pendulum swinging back and forth. Many relevant topics are covered, including modeling systems using differential equations, transfer functions, state-space representation, Hamiltonian systems, stability and equilibrium, and nonlinear system characteristics with examples including chaos, bifurcation, and limit cycles. In addition, MATLAB is used extensively to show how the analysis methods are applied to the examples. It is assumed readers will have an understanding of calculus, differential equations, linear algebra, and an interest in mechanical and electrical dynamical systems.

Fluid Flow, Heat and Mass Transfer at Bodies of Different Shapes

  • 1st Edition
  • September 8, 2015
  • Kuppalapalle Vajravelu + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 0 3 7 3 3 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 3 7 8 5 - 0
Most of the equations governing the problems related to science and engineering are nonlinear in nature. As a result, they are inherently difficult to solve. Analytical solutions are available only for some special cases. For other cases, one has no easy means but to solve the problem must depend on numerical solutions. Fluid Flow, Heat and Mass Transfer at Bodies of Different Shapes: Numerical Solutions presents the current theoretical developments of boundary layer theory, a branch of transport phenomena. Also, the book addresses the theoretical developments in the area and presents a number of physical problems that have been solved by analytical or numerical method. It is focused particularly on fluid flow problems governed by nonlinear differential equations. The book is intended for researchers in applied mathematics, physics, mechanics and engineering.

Methods and Applications of Longitudinal Data Analysis

  • 1st Edition
  • September 1, 2015
  • Xian Liu
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 0 1 3 4 2 - 7
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 1 4 8 2 - 0
Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: descriptive methods for delineating trends over time linear mixed regression models with both fixed and random effects covariance pattern models on correlated errors generalized estimating equations nonlinear regression models for categorical repeated measurements techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists.

Big Data Analytics

  • 1st Edition
  • Volume 33
  • July 7, 2015
  • Venu Govindaraju + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 6 3 4 9 2 - 4
  • eBook
    9 7 8 - 0 - 4 4 4 - 6 3 4 9 7 - 9
While the term Big Data is open to varying interpretation, it is quite clear that the Volume, Velocity, and Variety (3Vs) of data have impacted every aspect of computational science and its applications. The volume of data is increasing at a phenomenal rate and a majority of it is unstructured. With big data, the volume is so large that processing it using traditional database and software techniques is difficult, if not impossible. The drivers are the ubiquitous sensors, devices, social networks and the all-pervasive web. Scientists are increasingly looking to derive insights from the massive quantity of data to create new knowledge. In common usage, Big Data has come to refer simply to the use of predictive analytics or other certain advanced methods to extract value from data, without any required magnitude thereon. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. While there are challenges, there are huge opportunities emerging in the fields of Machine Learning, Data Mining, Statistics, Human-Computer Interfaces and Distributed Systems to address ways to analyze and reason with this data. The edited volume focuses on the challenges and opportunities posed by "Big Data" in a variety of domains and how statistical techniques and innovative algorithms can help glean insights and accelerate discovery. Big data has the potential to help companies improve operations and make faster, more intelligent decisions.

Introduction to Actuarial and Financial Mathematical Methods

  • 1st Edition
  • April 7, 2015
  • Stephen Garrett
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 0 0 1 5 6 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 0 4 9 1 - 3
This self-contained module for independent study covers the subjects most often needed by non-mathematics graduates, such as fundamental calculus, linear algebra, probability, and basic numerical methods. The easily-understandable text of Introduction to Actuarial and Mathematical Methods features examples, motivations, and lots of practice from a large number of end-of-chapter questions. For readers with diverse backgrounds entering programs of the Institute and Faculty of Actuaries, the Society of Actuaries, and the CFA Institute, Introduction to Actuarial and Mathematical Methods can provide a consistency of mathematical knowledge from the outset.

Bio-Inspired Computation in Telecommunications

  • 1st Edition
  • February 6, 2015
  • Xin-She Yang + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 1 5 3 8 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 1 7 4 3 - 2
Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.

Introduction to Structural Equation Models

  • 1st Edition
  • June 28, 2014
  • Otis Dudley Duncan
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 5 3 2 - 9
Introduction to Structural Equation Models prepares the reader to understand the recent sociological literature on the use of structural equation models in research, and discusses methodological questions pertaining to such models. The material in first seven chapters is almost entirely standard, with the remaining four introducing progressively more open-ended issues, seducing the reader into beginning to think for himself about the properties of models or even to suggest problems that may intrigue the advanced student.

Linear Panel Analysis

  • 1st Edition
  • June 28, 2014
  • Ronald C. Kessler
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 7 8 2 - 8
Linear Panel Analysis: Models of Quantitative Change focuses on the use of linear models in the analysis of change data measured on a sample of individuals over multiple time points. This book is organized into 12 chapters. After a general introduction to change analysis in Chapter 1, some basic algebraic results on change scores are presented in Chapter 2. Chapter 3 constructs and analyzes structural equation models for studying the causes of change, while Chapter 4 outlines several ways of simply describing change in groups. The uses and abuses of cross-lagged panel correlations are discussed in Chapter 5. Chapters 6 to 10 deal with a variety of special topics that arise in panel analysis. The alternatives to the analysis of over-time data for a set of individuals are described in Chapter 11. The last chapter is devoted to the practical aspects of designing and carrying out the data collection phase of a panel study. This publication is intended for social scientists who work with change data.