Mathematics

PUBLISHED


Viewing: 1 - 10 of 1837
Published:
May 01, 2013
Author(s):
Dean Hathout
Wearing Gauss’s Jersey focuses on "Gauss problems," problems that can be very tedious and time consuming when tackled in a traditional, straightforward way but if approached in a more insightful fashion, can yield the solution much more easily and elegantly. The book shows how mathematical problem 
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$24.95
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Published:
April 25, 2013
Author(s):
Felix Abramovich; Ya'acov Ritov
Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, 
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$69.95
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Published:
April 25, 2013
Author(s):
Manuel Laguna; Johan Marklund
Most textbooks on business process management focus on either the nuts and bolts of computer simulation or the managerial aspects of business processes. Covering both technical and managerial aspects of business process management, Business Process Modeling, Simulation and Design, Second Edition 
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$99.95
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Published:
April 25, 2013
Author(s):
Alexander M. Novikov; Dmitry A. Novikov
This book distinguishes itself from many other works devoted to research methodology and the philosophy of science in its integrated approach towards scientific research, which is regarded as the scientific project on all levels – from philosophy of science to research design. This work studies the 
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$79.95
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Published:
April 23, 2013
Author(s):
Anatoliy Swishchuk; Shafiqul Islam
The theory and applications of random dynamical systems (RDS) are at the cutting edge of research in mathematics and economics, particularly in modeling the long-run evolution of economic systems subject to exogenous random shocks. Despite this interest, there are no books available that solely 
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$99.95
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Published:
April 18, 2013
Author(s):
Masaaki Kijima
Financial engineering has been proven to be a useful tool for risk management, but using the theory in practice requires a thorough understanding of the risks and ethical standards involved. Stochastic Processes with Applications to Finance, Second Edition presents the mathematical theory of 
  Hardback
$89.95
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Published:
April 18, 2013
Author(s):
Ever J. Barbero
Developed from the author’s graduate-level course on advanced mechanics of composite materials, Finite Element Analysis of Composite Materials with Abaqus™ shows how powerful finite element tools address practical problems in the structural analysis of composites. Unlike other texts, this one takes 
  Hardback
$119.95
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Published:
April 11, 2013
Author(s):
Anatoly A. Gurchenkov; Vladimir I. Tsurkov; Mikhail V. Nosov
This book is devoted to the study of the dynamics of rotating bodies with cavities containing liquid. Two basic classes of motions are analyzed: rotation and libration. Cases of complete and partial filling of cavities with ideal liquid and complete filling with viscous liquid are treated. The 
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$119.95
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Published:
April 10, 2013
Author(s):
James S. Walker; Gary Don
At first glance, mathematics and music seem to be from separate worlds—one from science, one from art. But in fact, the connections between the two go back thousands of years, such as Pythagoras’s ideas about how to quantify changes of pitch for musical tones (musical intervals). Mathematics and 
  Paperback
$59.95
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Published:
April 09, 2013
Author(s):
Peter Westfall; Kevin S. S. Henning
Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum 
  Hardback
$79.95
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New Textbook! Taking an applied mathematics approach, An Introduction to Exotic Option Pricing illustrates how to use straightforward techniques to price a wide range of exotic options within the Black–Scholes framework. These methods can even be used as control variates in a Monte Carlo simulation of a stochastic volatility model.

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