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Books > Science & Mathematics > Mathematics > Applied mathematics > General
Using the familiar software Microsoft ® Excel, this book examines
the applications of complex variables. Implementation of the
included problems in Excel eliminates the “black box” nature of
more advanced computer software and programming languages and
therefore the reader has the chance to become more familiar with
the underlying mathematics of the complex variable problems. This
book consists of two parts. In Part I, several topics are covered
that one would expect to find in an introductory text on complex
variables. These topics include an overview of complex numbers,
functions of a complex variable, and the Cauchy integral formula.
In particular, attention is given to the study of analytic complex
variable functions. This attention is warranted because of the
property that the real and imaginary parts of an analytic complex
variable function can be used to solve the Laplace partial
differential equation (PDE). Laplace's equation is ubiquitous
throughout science and engineering as it can be used to model the
steady-state conditions of several important transport processes
including heat transfer, soil-water flow, electrostatics, and ideal
fluid flow, among others. In Part II, a specialty application of
complex variables known as the Complex Variable Boundary Element
Method (CVBEM) is examined. CVBEM is a numerical method used for
solving boundary value problems governed by Laplace's equation.
This part contains a detailed description of the CVBEM and a guide
through each step of constructing two CVBEM programs in Excel. The
writing of these programs is the culminating event of the book.
Students of complex variables and anyone with interest in a novel
method for approximating potential functions using the principles
of complex variables are the intended audience for this book. The
Microsoft Excel applications (including simple programs as well as
the CVBEM program) covered will also be of interest in the
industry, as these programs are accessible to anybody with
Microsoft Office.
Quantum mechanics is one of the most fascinating, and at the
same time most controversial, branches of contemporary science.
Disputes have accompanied this science since its birth and have not
ceased to this day.
"Uncommon Paths in Quantum Physics" allows the reader to
contemplate deeply some ideas and methods that are seldom met in
the contemporary literature. Instead of widespread recipes of
mathematical physics, based on the solutions of
integro-differential equations, the book follows logical and partly
intuitional derivations of non-commutative algebra. Readers can
directly penetrate the abstract world of quantum mechanics.
First book in the market that treats this newly developed area of
theoretical physics; the book will thus provide a fascinating
overview of the prospective applications of this area, strongly
founded on the theories and methods that it describes.Provides a
solid foundation for the application of quantum theory to current
physical problems arising in the interpretation of molecular
spectra and important effects in quantum field theory.New insight
into the physics of anharmonic vibrations, more feasible
calculations with improved precision.
This book on finite element-based computational methods for solving
incompressible viscous fluid flow problems shows readers how to
apply operator splitting techniques to decouple complicated
computational fluid dynamics problems into a sequence of relatively
simpler sub-problems at each time step, such as hemispherical
cavity flow, cavity flow of an Oldroyd-B viscoelastic flow, and
particle interaction in an Oldroyd-B type viscoelastic fluid.
Efficient and robust numerical methods for solving those resulting
simpler sub-problems are introduced and discussed. Interesting
computational results are presented to show the capability of
methodologies addressed in the book.
This book uses a hands-on approach to nonlinear dynamics using
commonly available software, including the free dynamical systems
software Xppaut, Matlab (or its free cousin, Octave) and the Maple
symbolic algebra system. Detailed instructions for various common
procedures, including bifurcation analysis using the version of
AUTO embedded in Xppaut, are provided. This book also provides a
survey that can be taught in a single academic term covering a
greater variety of dynamical systems (discrete versus continuous
time, finite versus infinite-dimensional, dissipative versus
conservative) than is normally seen in introductory texts.
Numerical computation and linear stability analysis are used as
unifying themes throughout the book. Despite the emphasis on
computer calculations, theory is not neglected, and fundamental
concepts from the field of nonlinear dynamics such as solution maps
and invariant manifolds are presented.
For various scientific and engineering problems, how to deal with
variables and parameters of uncertain value is an important issue.
Full analysis of the specific errors in measurement, observations,
experiments, and applications are vital in dealing with the
parameters taken to simplify the problem. Mathematics of
Uncertainty Modeling in the Analysis of Engineering and Science
Problems aims to provide the reader with basic concepts for soft
computing and other methods for various means of uncertainty in
handling solutions, analysis, and applications. This book is an
essential reference work for students, scholars, practitioners and
researchers in the assorted fields of engineering and applied
mathematics interested in a model for uncertain physical problems.
Ideal for college students in intermediate finance courses, this
book uniquely applies mathematical formulas to teach the
underpinnings of financial and lending decisions, covering common
applications in real estate, capital budgeting, and commercial
loans. An updated and expanded version of the time-honored classic
text on financial math, this book provides, in one place, a
complete and practical treatment of the four primary venues for
finance: commercial lending, financial formulas, mortgage lending,
and resource allocation or capital budgeting techniques. With an
emphasis on understanding the principles involved rather than blind
reliance on formulas, the book provides rigorous and thorough
explanations of the mathematical calculations used in determining
the time value of money, valuation of loans by commercial banks,
valuation of mortgages, and the cost of capital and capital
budgeting techniques for single as well as mutually exclusive
projects. This new edition devotes an entire chapter to a method of
evaluating mutually exclusive projects without resorting to any
imposed conditions. Two chapters not found in the previous edition
address special topics in finance, including a novel and innovative
way to approach amortization tables and the time value of money for
cash flows when they increase geometrically or arithmetically. This
new edition also features helpful how-to sections on Excel
applications at the end of each appropriate chapter. Lays the
foundation of all the topics that are typically covered in a
financial management textbook or class Demonstrates how the mastery
of a few basic concepts-such as the time value of money under all
possible situations-allows for a precise understanding of more
complex topics in finance Describes how all advanced capital
budgeting techniques can be reduced to the simplest technique-the
payback period method Examines traditional financial techniques
using simple interest rate and accounting rate of return methods to
conclusively show how these practices are now defunct
This proceedings volume documents the contributions presented at
the CONIAPS XXVII international Conference on Recent Advances in
Pure and Applied Algebra. The entries focus on modern trends and
techniques in various branches of pure and applied Algebra and
highlight their applications in coding theory, cryptography, graph
theory, and fuzzy theory.
Hulchul: The Common Ingredient of MotionMotionMotionMotion and Time
Author, Sohan Jain, proposes the following in the book: Instants of
Motion, Instants of Time and Time Outage: Just as time has instants
of time, motion has instants of motion, too. Instants of time and
motion can be divided into three classes: pure instants of time,
pure instants of motion, and composite instants of time and motion.
The sequences of the three types of instants are interspersed into
a single sequence of their occurrences. A body does not experience
time during pure instants of motion, a phenomenon we will call time
outage -the cause of time dilation. Time outage is not continuous;
it is intermittent. Internal and external motion of a body and
their inheritance: Each body has, generally, two kinds of motions:
internal motion and external motion. A body goes, wherever its
outer bodies go. An inner body inherits external motion of its
outer bodies. An outer body inherits internal motion of its inner
bodies. Photons and light do not inherit motion; may be, this is
why their motions are independent of their sources. Prime ticks,
the building blocks of time and any motion: Motion of a common body
is not continuous; it is intermittent. Any kind of motion is
perceived to be made of discrete, indivisible tiny movements,
called prime ticks (p-ticks). P-ticks are to motion what elementary
particles are to matter or what photons are to light. There is time
only because there is motion. Prime ticks are events and imply
motion. Events have concurrency, which implies time. Total
concurrency hulchul, a universal constant: Concurrency events of
external and internal p-ticks of a body are precisely the instants
of motion and time. The sum of the two is called the total
concurrency hulchul (c-hulchul). Total c-hulchul is the same for
all bodies. The proposed theory possibly explains: Why a particle
accelerator works. Why atoms have compartmentalized internal
structure. Why lighter bodies, such as elementary particles and
photons, have wavy straight motion rather than straight motion. The
theory predicts: The sharing of an electron by two atoms is not
continuous; it alternates between the two atoms.
This book highlights new developments in the wide and growing field
of partial differential equations (PDE)-constrained optimization.
Optimization problems where the dynamics evolve according to a
system of PDEs arise in science, engineering, and economic
applications and they can take the form of inverse problems,
optimal control problems or optimal design problems. This book
covers new theoretical, computational as well as implementation
aspects for PDE-constrained optimization problems under
uncertainty, in shape optimization, and in feedback control, and it
illustrates the new developments on representative problems from a
variety of applications.
Susanna Epp's DISCRETE MATHEMATICS WITH APPLICATIONS, 4e,
International Edition provides a clear introduction to discrete
mathematics. Renowned for her lucid, accessible prose, Epp explains
complex, abstract concepts with clarity and precision. This book
presents not only the major themes of discrete mathematics, but
also the reasoning that underlies mathematical thought. Students
develop the ability to think abstractly as they study the ideas of
logic and proof. While learning about such concepts as logic
circuits and computer addition, algorithm analysis, recursive
thinking, computability, automata, cryptography, and combinatorics,
students discover that the ideas of discrete mathematics underlie
and are essential to the science and technology of the computer
age. Overall, Epp's emphasis on reasoning provides students with a
strong foundation for computer science and upper-level mathematics
courses.
Magic squares are among the more popular mathematical
recreations. Over the last 50 years, many generalizations of
"magic" ideas have been applied to graphs. Recently there has been
a resurgence of interest in "magic labelings" due to a number of
results that have applications to the problem of decomposing graphs
into trees.
Key features of this second edition include:
. a new chapter on magic labeling of directed graphs
. applications of theorems from graph theory and interesting
counting arguments
. new research problems and exercises covering a range of
difficulties
. a fully updated bibliography and index
This concise, self-contained exposition is unique in its focus
on the theory of magic graphs/labelings. It may serve as a graduate
or advanced undergraduate text for courses in mathematics or
computer science, and as reference for the researcher."
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