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MATLAB is a high-level language and environment for numerical
computation, visualization, and programming. Using MATLAB, you can
analyze data, develop algorithms, and create models and
applications. The language, tools, and built-in math functions
enable you to explore multiple approaches and reach a solution
faster than with spreadsheets or traditional programming languages,
such as C/C++ or Java. This book is designed for use as a
scientific/business calculator so that you can get numerical
solutions to problems involving a wide array of mathematics using
MATLAB. Just look up the function you want in the book and you are
ready to use it in MATLAB or use the book to learn about the
enormous range of options that MATLAB offers. MATLAB Numerical
Calculations focuses on MATLAB capabilities to give you numerical
solutions to problems you are likely to encounter in your
professional or scholastic life. It introduces you to the MATLAB
language with practical hands-on instructions and results, allowing
you to quickly achieve your goals. Starting with a look at basic
MATLAB functionality with integers, rational numbers and real and
complex numbers, and MATLAB's relationship with Maple, you will
learn how to solve equations in MATLAB, and how to simplify the
results. You will see how MATLAB incorporates vector, matrix and
character variables, and functions thereof. MATLAB is a powerful
tool used to defined, manipulate and simplify complex algebraic
expressions. With MATLAB you can also work with ease in matrix
algebra, making use of commands which allow you to find
eigenvalues, eigenvectors, determinants, norms and various matrix
decompositions, among many other features. Lastly, you will see how
you can write scripts and use MATLAB to explore numerical analysis,
finding approximations of integrals, derivatives and numerical
solutions of differential equations.
MATLAB enables you to work with its graphics capabilities in almost
all areas of the experimental sciences and engineering. The
commands that MATLAB implements in job related graphics are quite
useful and are very efficient. MATLAB has functions for working
with two-dimensional and three-dimensional graphics, statistical
graphs, curves and surfaces in explicit, implicit, parametric and
polar coordinates. It also works perfectly with twisted curves,
surfaces, volumes and graphical interpolation. MATLAB Graphical
Programming addresses all these issues by developing the following
topics:This book is a reference designed to give you a simple
syntax example of the commands and to graph it so that you can see
the result for:
MATLAB is a high-level language and environment for numerical
computation, visualization, and programming. Using MATLAB, you can
analyze data, develop algorithms, and create models and
applications. The language, tools, and built-in math functions
enable you to explore multiple approaches and reach a solution
faster than with spreadsheets or traditional programming languages,
such as C/C++ or Java. MATLAB Symbolic Algebra and Calculus Tools
introduces you to the MATLAB language with practical hands-on
instructions and results, allowing you to quickly achieve your
goals. Starting with a look at symbolic variables and functions,
you will learn how to solve equations in MATLAB, both symbolically
and numerically, and how to simplify the results. Extensive
coverage of polynomial solutions, inequalities and systems of
equations are covered in detail. You will see how MATLAB
incorporates vector, matrix and character variables, and functions
thereof. MATLAB is a powerful symbolic manipulator which enables
you to factorize, expand and simplify complex algebraic expressions
over all common fields (including over finite fields and algebraic
field extensions of the rational numbers). With MATLAB you can also
work with ease in matrix algebra, making use of commands which
allow you to find eigenvalues, eigenvectors, determinants, norms
and various matrix decompositions, among many other features.
Lastly, you will see how you can use MATLAB to explore mathematical
analysis, finding limits of sequences and functions, sums of
series, integrals, derivatives and solving differential equation.
MATLAB is a high-level language and environment for numerical
computation, visualization, and programming. Using MATLAB, you can
analyze data, develop algorithms, and create models and
applications. The language, tools, and built-in math functions
enable you to explore multiple approaches and reach a solution
faster than with spreadsheets or traditional programming languages,
such as C/C++ or Java. MATLAB Optimization Techniques introduces
you to the MATLAB language with practical hands-on instructions and
results, allowing you to quickly achieve your goals. It begins by
introducing the MATLAB environment and the structure of MATLAB
programming before moving on to the mathematics of optimization.
The central part of the book is dedicated to MATLAB's Optimization
Toolbox, which implements state-of-the-art algorithms for solving
multiobjective problems, non-linear minimization with boundary
conditions and restrictions, minimax optimization, semi-infinitely
constrained minimization and linear and quadratic programming. A
wide range of exercises and examples are included, illustrating the
most widely used optimization methods.
MATLAB is a high-level language and environment for numerical
computation, visualization, and programming. Using MATLAB, you can
analyze data, develop algorithms, and create models and
applications. The language, tools, and built-in math functions
enable you to explore multiple approaches and reach a solution
faster than with spreadsheets or traditional programming languages,
such as C/C++ or Java. Programming MATLAB for Numerical Analysis
introduces you to the MATLAB language with practical hands-on
instructions and results, allowing you to quickly achieve your
goals. You will first become familiar with the MATLAB environment,
and then you will begin to harness the power of MATLAB. You will
learn the MATLAB language, starting with an introduction to
variables, and how to manipulate numbers, vectors, matrices, arrays
and character strings. You will learn about MATLAB's high-precision
capabilities, and how you can use MATLAB to solve problems, making
use of arithmetic, relational and logical operators in combination
with the common functions and operations of real and complex
analysis and linear algebra. You will learn to implement various
numerical methods for optimization, interpolation and solving
non-linear equations. You will discover how MATLAB can solve
problems in differential and integral calculus, both numerically
and symbolically, including techniques for solving ordinary and
partial differential equations, and how to graph the solutions in
brilliant high resolution. You will then expand your knowledge of
the MATLAB language by learning how to use commands which enable
you to investigate the convergence of sequences and series, and
explore continuity and other analytical features of functions in
one and several variables.
MATLAB Mathematical Analysis is a reference book that presents the
techniques of mathematical analysis through examples and exercises
resolved with MATLAB software. The purpose is to give you examples
of the mathematical analysis functions offered by MATLAB so that
you can use them in your daily work regardless of the application.
The book supposes proper training in the mathematics and so
presents the basic knowledge required to be able to use MATLAB for
calculational or symbolic solutions to your problems for a vast
amount of MATLAB functions. The book begins by introducing the
reader to the use of numbers, operators, variables and functions in
the MATLAB environment. Then it delves into working with complex
variables. A large section is devoted to working with and
developing graphical representations of curves, surfaces and
volumes. MATLAB functions allow working with two-dimensional and
three-dimensional graphics, statistical graphs, curves and surfaces
in explicit, implicit, parametric and polar coordinates. Additional
work implements twisted curves, surfaces, meshes, contours, volumes
and graphical interpolation. The following part covers limits,
functions, continuity and numerical and power series. Then
differentiation is addressed in one and several variables including
differential theorems for vector fields. Thereafter the topic of
integration is handled including improper integrals, definite and
indefinite integration, integration in multiple variables and
multiple integrals and their applications. Differential equations
are exemplified in detail, Laplace transforms, Tayor series, and
the Runga-Kutta method and partial differential equations.
MATLAB is a high-level language and environment for numerical
computation, visualization, and programming. Using MATLAB, you can
analyze data, develop algorithms, and create models and
applications. The language, tools, and built-in math functions
enable you to explore multiple approaches and reach a solution
faster than with spreadsheets or traditional programming languages,
such as C/C++ or Java. MATLAB Differential and Integral Calculus
introduces you to the MATLAB language with practical hands-on
instructions and results, allowing you to quickly achieve your
goals. In addition to giving a short introduction to the MATLAB
environment and MATLAB programming, this book provides all the
material needed to work with ease in differential and integral
calculus in one and several variables. Among other core topics of
calculus, you will use MATLAB to investigate convergence, find
limits of sequences and series and, for the purpose of exploring
continuity, limits of functions. Various kinds of local
approximations of functions are introduced, including Taylor and
Laurent series. Symbolic and numerical techniques of
differentiation and integration are covered with numerous examples,
including applications to finding maxima and minima, areas, arc
lengths, surface areas and volumes. You will also see how MATLAB
can be used to solve problems in vector calculus and how to solve
differential and difference equations.
MATLAB is a high-level language and environment for numerical
computation, visualization, and programming. Using MATLAB, you can
analyze data, develop algorithms, and create models and
applications. The language, tools, and built-in math functions
enable you to explore multiple approaches and reach a solution
faster than with spreadsheets or traditional programming languages,
such as C/C++ or Java. MATLAB Differential Equations introduces you
to the MATLAB language with practical hands-on instructions and
results, allowing you to quickly achieve your goals. In addition to
giving an introduction to the MATLAB environment and MATLAB
programming, this book provides all the material needed to work on
differential equations using MATLAB. It includes techniques for
solving ordinary and partial differential equations of various
kinds, and systems of such equations, either symbolically or using
numerical methods (Euler's method, Heun's method, the Taylor series
method, the Runge-Kutta method,...). It also describes how to
implement mathematical tools such as the Laplace transform,
orthogonal polynomials, and special functions (Airy and Bessel
functions), and find solutions of finite difference equations.
MATLAB is a high-level language and environment for numerical
computation, visualization, and programming. Using MATLAB, you can
analyze data, develop algorithms, and create models and
applications. The language, tools, and built-in math functions
enable you to explore multiple approaches and reach a solution
faster than with spreadsheets or traditional programming languages,
such as C/C++ or Java.MATLAB Control Systems Engineering introduces
you to the MATLAB language with practical hands-on instructions and
results, allowing you to quickly achieve your goals. In addition to
giving an introduction to the MATLAB environment and MATLAB
programming, this book provides all the material needed to design
and analyze control systems using MATLAB's specialized Control
Systems Toolbox. The Control Systems Toolbox offers an extensive
range of tools for classical and modern control design. Using these
tools you can create models of linear time-invariant systems in
transfer function, zero-pole-gain or state space format. You can
manipulate both discrete-time and continuous-time systems and
convert between various representations. You can calculate and
graph time response, frequency response and loci of roots. Other
functions allow you to perform pole placement, optimal control and
estimates. The Control System Toolbox is open and extendible,
allowing you to create customized M-files to suit your specific
applications.
MATLAB is a high-level language and environment for numerical
computation, visualization, and programming. Using MATLAB, you can
analyze data, develop algorithms, and create models and
applications. The language, tools, and built-in math functions
enable you to explore multiple approaches and reach a solution
faster than with spreadsheets or traditional programming languages,
such as C/C++ or Java. MATLAB Matrix Algebra introduces you to the
MATLAB language with practical hands-on instructions and results,
allowing you to quickly achieve your goals. Starting with a look at
symbolic and numeric variables, with an emphasis on vector and
matrix variables, you will go on to examine functions and
operations that support vectors and matrices as arguments,
including those based on analytic parent functions. Computational
methods for finding eigenvalues and eigenvectors of matrices are
detailed, leading to various matrix decompositions. Applications
such as change of bases, the classification of quadratic forms and
how to solve systems of linear equations are described, with
numerous examples. A section is dedicated to sparse matrices and
other types of special matrices. In addition to its treatment of
matrices, you will also learn how MATLAB can be used to work with
arrays, lists, tables, sequences and sets.
MATLAB is a high-level language and environment for numerical
computation, visualization, and programming. Using MATLAB, you can
analyze data, develop algorithms, and create models and
applications. The language, tools, and built-in math functions
enable you to explore multiple approaches and reach a solution
faster than with spreadsheets or traditional programming languages,
such as C/C++ or Java. MATLAB Linear Algebra introduces you to the
MATLAB language with practical hands-on instructions and results,
allowing you to quickly achieve your goals. In addition to giving
an introduction to the MATLAB environment and MATLAB programming,
this book provides all the material needed to work in linear
algebra with ease. In addition to exploring MATLAB's matrix algebra
capabilities, it describes the MATLAB commands that are used to
create two- and three-dimensional graphics, including explicit,
implicit and parametric curve and surface plotting, and various
methods of data representation. Methods for solving systems of
equations are detailed.
To date, parasite diseases still affect millions of people
world-wide, mainly in developing countries. The recent sequencing
of parasite genomes opened a new era in parasitology research since
the acquisition of new genomic data, providing a useful tool to
analyse and compare gene structure, location and characteristics
from different species to study evolution and gene function. This
book is a collection of the recent findings of international
experts in modern parasitology, computational biology, evolutionary
biology, and genetics. It includes specific data on the current
knowledge and understanding of genome organisation, dynamic and
function for Plasmodium falciparum, Trypanosoma spp., Leishmania
spp., Trichomonas vaginalis, Giardia lamblia, Entamoeba histolytica
and Microsporidium, which represent the main causes of parasitic
infections in humans. This book will be an essential reference for
all parasitologists and scientists, as well as researchers,
postdoctoral fellows and graduate students in computational
biology, evolutionary biology, and genetics.
MicroRNA (miRNA) biology is a cutting-edge topic in basic as well
as biomedical research. This is a specialized book focusing on the
current understanding of the role of miRNAs in the development,
progression, invasion and metastasis of diverse types of cancer. It
also reviews their potential for applications in cancer diagnosis,
prognosis, and therapeutic targets. In addition it discusses the
potential use in translational medicine. Chapters in this book
present comprehensive and expert perspectives on the roles of
miRNAs in most common cancers from bench to bedside applications
and are written by an international team of renowned experts in the
field. This book is a landmark work providing up-to-date research
on miRNAs and their important roles in cancer translational
research.
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