Shouhong Wang – författare

It has become crucial for managers to be computer literate in today’s business environment. It is also important that those entering the field acquire the fundamental theories of information systems, the essential practical skills in computer applications, and the desire for life-long learning in information technology.Programming Languages for Business Problem Solving presents a working knowledge of the major programming languages, including COBOL, C++, Java, HTML, JavaScript, VB.NET, VBA, ASP.NET, Perl, PHP, XML, and SQL, used in the current business computing environment. The book examines the concepts shared by these languages and details the unique features of each. It also focuses on various programming techniques, including structured, object-oriented, client-side and server-side programming, as well as graphical user-interface and multi-media processing. Self-contained, the book provides hands-on examples, self-review questions, project requirements, report formats, and operational manuals of programming environments for use by both MIS students and professionals.

Programming Languages for MIS: Concepts and Practice supplies a synopsis of the major computer programming languages, including C++, HTML, JavaScript, CSS, VB.NET, C#.NET, ASP.NET, PHP (with MySQL), XML (with XSLT, DTD, and XML Schema), and SQL. Ideal for undergraduate students in IS and IT programs, this textbook and its previous versions have been used in the authors’ classes for the past 15 years.Focused on web application development, the book considers client-side computing, server-side computing, and database applications. It emphasizes programming techniques, including structured programming, object-oriented programming, client-side programming, server-side programming, and graphical user interface.Introduces the basics of computer languages along with the key characteristics of all procedural computer languagesCovers C++ and the fundamental concepts of the two programming paradigms: function-oriented and object-orientedConsiders HTML, JavaScript, and CSS for web page developmentPresents VB.NET for graphical user interface developmentIntroduces PHP, a popular open source programming language, and explains the use of the MySQL database in PHPDiscusses XML and its companion languages, including XSTL, DTD, and XML SchemaWith this book, students learn the concepts shared by all computer languages as well as the unique features of each language. This self-contained text includes exercise questions, project requirements, report formats, and operational manuals of programming environments. A test bank and answers to exercise questions are also available upon qualified course adoption.This book supplies professors with the opportunity to structure a course consisting of two distinct modules: the teaching module and the project module. The teaching module supplies an overview of representative computer languages. The project module provides students with the opportunity to gain hands-on experience with the various computer languages through projects.

This book is an introduction to a comprehensive and unified dynamic transition theory for dissipative systems and to applications of the theory to a range of problems in the nonlinear sciences. The main objectives of this book are to introduce a general principle of dynamic transitions for dissipative systems, to establish a systematic dynamic transition theory, and to explore the physical implications of applications of the theory to a range of problems in the nonlinear sciences. The basic philosophy of the theory is to search for a complete set of transition states, and the general principle states that dynamic transitions of all dissipative systems can be classified into three categories: continuous, catastrophic and random. The audience for this book includes advanced graduate students and researchers in mathematics and physics as well as in other related fields.

This book is an introduction to a comprehensive and unified dynamic transition theory for dissipative systems and to applications of the theory to a range of problems in the nonlinear sciences.

This book is an introduction to a comprehensive and unified dynamic transition theory for dissipative systems and to applications of the theory to a range of problems in the nonlinear sciences.

This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations. These approximations  take the form of Lyapunov-Perron integrals, which are further characterized in Volume II as pullback limits associated with some partially coupled backward-forward systems. This pullback characterization provides a useful interpretation of the corresponding approximating manifolds and leads to a simple framework that unifies some other approximation approaches in the literature. A self-contained survey is also included on the existence and attraction of one-parameter families of stochastic invariant manifolds, from the point of view of the theory of random dynamical systems.

In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs). This is accomplished via the concept of parameterizing manifolds (PMs), which are stochastic manifolds that improve, for a given realization of the noise, in mean square error the partial knowledge of the full SPDE solution when compared to its projection onto some resolved modes. Backward-forward systems are designed to give access to such PMs in practice. The key idea consists of representing the modes with high wave numbers as a pullback limit depending on the time-history of the modes with low wave numbers. Non-Markovian stochastic reduced systems are then derived based on such a PM approach. The reduced systems take the form of stochastic differential equations involving random coefficients that convey memory effects. The theory is illustrated on a stochastic Burgers-type equation.

This book covers comprehensive bifurcation theory and its applications to dynamical systems and partial differential equations (PDEs) from science and engineering, including in particular PDEs from physics, chemistry, biology, and hydrodynamics.The book first introduces bifurcation theories recently developed by the authors, on steady state bifurcation for a class of nonlinear problems with even order nondegenerate nonlinearities, regardless of the multiplicity of the eigenvalues, and on attractor bifurcations for nonlinear evolution equations, a new notion of bifurcation.With this new notion of bifurcation, many longstanding bifurcation problems in science and engineering are becoming accessible, and are treated in the second part of the book. In particular, applications are covered for a variety of PDEs from science and engineering, including the Kuramoto-Sivashinsky equation, the Cahn-Hillard equation, the Ginzburg-Landau equation, reaction-diffusion equations in biology and chemistry, the Benard convection problem, and the Taylor problem. The applications provide, on the one hand, general recipes for other applications of the theory addressed in this book, and on the other, full classifications of the bifurcated attractor and the global attractor as the control parameters cross certain critical values, dictated usually by the eigenvalues of the linearized problems. It is expected that the book will greatly advance the study of nonlinear dynamics for many problems in science and engineering.