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Books in Mathematics and applied mathematics

Uncertainties in GPS Positioning

  • 1st Edition
  • January 16, 2017
  • Alan Oxley
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 9 5 9 4 - 2
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 9 7 8 7 - 8
Uncertainties in GPS Positioning: A Mathematical Discourse describes the calculations performed by a GPS receiver and the problems associated with ensuring that the derived location is a close match to the actual location. Inaccuracies in calculating a location can have serious repercussions, so this book is a timely source for information on this rapidly evolving technology.

Handbook of Numerical Methods for Hyperbolic Problems

  • 1st Edition
  • Volume 18
  • January 16, 2017
  • Remi Abgrall + 5 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 6 3 9 1 0 - 3
  • eBook
    9 7 8 - 0 - 4 4 4 - 6 3 9 1 1 - 0
Handbook on Numerical Methods for Hyperbolic Problems: Applied and Modern Issues details the large amount of literature in the design, analysis, and application of various numerical algorithms for solving hyperbolic equations that has been produced in the last several decades. This volume provides concise summaries from experts in different types of algorithms, so that readers can find a variety of algorithms under different situations and become familiar with their relative advantages and limitations.

A Generalized Framework of Linear Multivariable Control

  • 1st Edition
  • January 11, 2017
  • Liansheng Tan
  • English
  • Paperback
    9 7 8 - 0 - 0 8 - 1 0 1 9 4 6 - 7
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 1 9 4 7 - 4
A Generalized Framework of Linear Multivariable Control proposes a number of generalized models by using the generalized inverse of matrix, while the usual linear multivariable control theory relies on some regular models. The book supports that in H-infinity control, the linear fractional transformation formulation is relying on the inverse of the block matrix. If the block matrix is not regular, the H-infinity control does not apply any more in the normal framework. Therefore, it is very important to relax those restrictions to generalize the classical notions and models to include some non-regular cases. This book is ideal for scholars, academics, professional engineer and students who are interested in control system theory.

New Approaches of Protein Function Prediction from Protein Interaction Networks

  • 1st Edition
  • January 11, 2017
  • Jingyu Hou
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 9 8 1 4 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 9 9 4 4 - 5
New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein function prediction, including semantically assessing the reliability of PPI data, measuring the functional similarity between proteins, dynamically selecting prediction domains, predicting functions, and establishing corresponding prediction frameworks. Functional annotation of proteins is vital to biological and clinical research and other applications due to the important roles proteins play in various biological processes. Although the functions of some proteins have been annotated via biological experiments, there are still many proteins whose functions are yet to be annotated due to the limitations of existing methods and the high cost of experiments. To overcome experimental limitations, this book helps users understand the computational approaches that have been rapidly developed for protein function prediction.

Handbook of Numerical Methods for Hyperbolic Problems

  • 1st Edition
  • Volume 17
  • November 17, 2016
  • Qiang Du + 5 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 6 3 7 8 9 - 5
  • eBook
    9 7 8 - 0 - 4 4 4 - 6 3 7 9 5 - 6
Handbook of Numerical Methods for Hyperbolic Problems explores the changes that have taken place in the past few decades regarding literature in the design, analysis and application of various numerical algorithms for solving hyperbolic equations. This volume provides concise summaries from experts in different types of algorithms, so that readers can find a variety of algorithms under different situations and readily understand their relative advantages and limitations.

Stress Testing and Risk Integration in Banks

  • 1st Edition
  • November 2, 2016
  • Tiziano Bellini
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 0 3 5 9 0 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 3 6 1 1 - 2
Stress Testing and Risk Integration in Banks provides a comprehensive view of the risk management activity by means of the stress testing process. An introduction to multivariate time series modeling paves the way to scenario analysis in order to assess a bank resilience against adverse macroeconomic conditions. Assets and liabilities are jointly studied to highlight the key issues that a risk manager needs to face. A multi-national bank prototype is used all over the book for diving into market, credit, and operational stress testing. Interest rate, liquidity and other major risks are also studied together with the former to outline how to implement a fully integrated risk management toolkit. Examples, business cases, and exercises worked in Matlab and R facilitate readers to develop their own models and methodologies.

Mathematical Models for Neglected Tropical Diseases: Essential Tools for Control and Elimination, Part B

  • 1st Edition
  • Volume 94
  • October 13, 2016
  • Roy M Anderson + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 0 9 9 7 1 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 9 9 7 2 - 8
Mathematic Modelling: Improving the Implementation, Monitoring and Evaluation of Interventions, Part B, the latest volume in the Advances in Parasitology series contains comprehensive and up-to-date reviews in the field of mathematic modeling and its implementation within parasitology. The series includes medical studies of parasites of major influence, such as Plasmodium falciparum and trypanosomes, along with reviews of more traditional areas, such as zoology, taxonomy, and life history, all of which shape current thinking and applications.

Factorization of Boundary Value Problems Using the Invariant Embedding Method

  • 1st Edition
  • October 12, 2016
  • Jacques Henry + 1 more
  • English
  • Hardback
    9 7 8 - 1 - 7 8 5 4 8 - 1 4 3 - 7
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 1 0 9 0 - 7
Factorization Method for Boundary Value Problems by Invariant Embedding presents a new theory for linear elliptic boundary value problems. The authors provide a transformation of the problem in two initial value problems that are uncoupled, enabling you to solve these successively. This method appears similar to the Gauss block factorization of the matrix, obtained in finite dimension after discretization of the problem. This proposed method is comparable to the computation of optimal feedbacks for linear quadratic control problems.

Stochastic Models of Financial Mathematics

  • 1st Edition
  • October 12, 2016
  • Vigirdas Mackevicius
  • English
  • Hardback
    9 7 8 - 1 - 7 8 5 4 8 - 1 9 8 - 7
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 2 0 8 6 - 9
This book presents a short introduction to continuous-time financial models. An overview of the basics of stochastic analysis precedes a focus on the Black–Scholes and interest rate models. Other topics covered include self-financing strategies, option pricing, exotic options and risk-neutral probabilities. Vasicek, Cox−Ingersoll−Ross, and Heath–Jarrow–Morton interest rate models are also explored.The author presents practitioners with a basic introduction, with more rigorous information provided for mathematicians. The reader is assumed to be familiar with the basics of probability theory. Some basic knowledge of stochastic integration and differential equations theory is preferable, although all preliminary information is given in the first part of the book. Some relatively simple theoretical exercises are also provided.

An Invitation to Applied Mathematics

  • 1st Edition
  • September 24, 2016
  • Carmen Chicone
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 0 4 1 5 3 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 4 1 5 4 - 3
An Invitation to Applied Mathematics: Differential Equations, Modeling, and Computation introduces the reader to the methodology of modern applied mathematics in modeling, analysis, and scientific computing with emphasis on the use of ordinary and partial differential equations. Each topic is introduced with an attractive physical problem, where a mathematical model is constructed using physical and constitutive laws arising from the conservation of mass, conservation of momentum, or Maxwell's electrodynamics. Relevant mathematical analysis (which might employ vector calculus, Fourier series, nonlinear ODEs, bifurcation theory, perturbation theory, potential theory, control theory, or probability theory) or scientific computing (which might include Newton's method, the method of lines, finite differences, finite elements, finite volumes, boundary elements, projection methods, smoothed particle hydrodynamics, or Lagrangian methods) is developed in context and used to make physically significant predictions. The target audience is advanced undergraduates (who have at least a working knowledge of vector calculus and linear ordinary differential equations) or beginning graduate students. Readers will gain a solid and exciting introduction to modeling, mathematical analysis, and computation that provides the key ideas and skills needed to enter the wider world of modern applied mathematics.