Download PDF C++ In Action Industrial Strength Programming Techniques
Sinopsis
The first part teaches C++, the language of choice for general-purpose programming. But it is not your usual C++ tutorial.
For the beginner who doesn't know much about C or C++, it just introduces a new object oriented language. It doesn't concentrate on syntax or grammar; it shows how to express certain ideas in C++. It is like teaching a foreign language by conversation rather than by memorizing words and grammatical rules (when I was teaching it to students, I called this part of the course "Conversational C++"). After all, this is what the programmer needs: to be able to express ideas in the form of a program written in a particular language. When I learn a foreign language, the first thing I want to know is how to say, "How much does it cost?" I don't need to learn the whole conjugation of the verb 'to cost' in the past, present and future tenses. I just want to be able to walk into a store in a foreign country and buy something.
For a C programmer who doesn't know much about C++ (other than that it's slow and cryptic--the popular myths in the C subculture) this is an exercise in unlearning C in order to effectively program in C++. Why should a C programmer unlearn C? Isn't C++ a superset of C? Unfortunately yes! The decision to make C++ compatible with C was a purely practical, marketing decision. And it worked! Instead of being a completely new product that would take decades to gain the market, it became "version 3.1" of C. This is both good and bad. It's good because backward C compatibility allowed C++, and some elements of object oriented programming, to quickly gain foothold in the programming community. It's bad because it doesn't require anybody to change his programming methodology.
Instead of having to rewrite the existing code all at once, many companies were, and still are, able to gradually phase C++ in. The usual path for such a phase-in is to introduce C++ as a 'stricter' C. In principle all C code could be recompiled as C++ . In practice, C++ has somewhat stricter type checking and the compiler is able to detect more bugs and issue more warnings. So recompiling C code using a C++ compiler is a way of cleaning up the existing code. The changes that have to be introduced into the source code at that stage are mostly bug fixes and stricter type enforcement. If the code was written in pre-ANSI C, the prototypes of all functions have to be generated. It is surprising how many bugs are detected during this ANSI-zation procedure. All this work is definitely worth the effort. A C compiler should only be used when a good C++ compiler is not available (really, a rare occurrence nowadays).
Once the C++ compiler becomes part of the programming environment, programmers sooner or later start learning new tricks and eventually they develop some kind of C++ programming methodology, either on their own or by reading various self-help books. This is where the bad news starts. There is a subset of C++ (I call it the C ghetto) where many ex-C-programmers live. A lot of C programmers start hating C++ after a glimpse of the C ghetto. They don't realize that C++ has as many good uses as misuses.
Content
1. Preface
2. Introduction
3. Language
4. Techniques
5. Windows Techniques
6. Software Project
7. Appendix
Download PDF C++ Timesaving Techniques™ FOR DUMMIES by Matthew Telles
Sinopsis
C++ is a flexible, powerful programming language with hundreds of thousands of applications. However, the knowledge of how to take advantage of its full potential comes only with time and experience. That’s where this book comes in. Think of it as a “cookbook” for solving your programming problems, much as The Joy of Cooking is a guide to solving your dinner dilemmas.
C++ Timesaving Techniques For Dummies is a book for the beginning-toadvanced C++ programmer who needs immediate answers to the problems that crop up in the professional software-development world. I assume that you have prior programming experience, as well as experience specifically with the C++ programming language. “Fluff” — like discussions of looping structures or defining variables, or the basics of compiling applications — is kept to a minimum here. Instead, I offer quick, step-by-step instructions for solving specific problems in C++. Each technique includes example code — which you are welcome to use
in your own applications, or modify as you see fit. This is literally a case of “steal this code, please.” C++ is a language that lends itself well to component-based design and implementation. This means that you can take a piece from here and a piece from there to implement the solution that you have in mind.
C++ Timesaving Techniques For Dummies is not an operating-systemspecific (or even compiler-specific) book. The techniques and code that you find here should work on all compilers that support the standard C++ language, and on all operating systems for which a standard compiler exists. This book is intended to be as useful to the Unix programmer as to the Microsoft Windows programmer, and just as useful for programming with X-windows as it is for .Net.
Content
- Streamlining the Means and Mechanics of OOP
- Working with the Pre-Processor
- Types
- Classes
- Arrays and Templates
- Input and Output
- Input and Output Using the Built-In Functionality
- Utilities
- Debugging C++ Applications
- The Scary (or Fun!) Stuff
Download PDF Numerical Techniques for Chemical and Biological Engineers Using MATLAB A Simple Bifurcation Approach by Said Elnashaie
Sinopsis
Mathematical modeling is the science or art of transforming any macro-scale or microscale problem to mathematical equations. Mathematical modeling of chemical and biological systems and processes is based on chemistry, biochemistry, microbiology, mass diffusion, heat transfer, chemical, biochemical and biomedical catalytic or biocatalytic reactions, as well as noncatalytic reactions, material and energy balances, etc. As soon as the chemical and biological processes are turned into equations, these equations must be solved efficiently in order to have practical value. Equations are usually solved numerically with the help of computers and suitable software.
Almost all problems faced by chemical and biological engineers are nonlinear. Most if not all of the models have no known closed form solutions. Thus the model equations generally require numerical techniques to solve them. One central task of chemical/ biological engineers is to identify the chemical/biological processes that take place within the boundaries of a system and to put them intelligently into the form of equations by utilizing justifiable assumptions and physico-chemical and biological laws. The best and most modern classification of different processes is through system theory. The models can be formed of steady-state design equations used in the design (mainly sizing and optimization), or unsteady-state (dynamic) equations used in start-up, shutdown, and the design of control systems. Dynamic equations are also useful to investigate the bifurcation and stability characteristics of the processes.
The complexity of the mathematical model depends upon the degree of accuracy required and on the complexity of the interaction between the different processes taking place within the boundaries of the system and on the interaction between the system and its surrounding. It is an important art for chemical/biological engineers to reach an optimal degree of sophistication (complexity) for the system model. By “optimal degree of sophistication” we mean finding a model for the process, which is as simple as possible without sacrificing the required accuracy as dictated by the specific practical application of the model. After the chemical/biological engineer has developed a suitable mathematical model with an optimal degree of “sophistication” for the process, he/she is then faced with the problem of solving its equations numerically. This is where stable and efficient numerical methods become essential. The classification of numerical solution techniques lends itself excellently to the system theory classification as well. A large number of chemical/biological processes will be presented, modeled, and efficient numerical techniques will be developed and programmed using MATLAB R 2. This is a sophisticated numerical software package. MATLAB is powerful numerically through its built-in functions and it allows us to easily develop and evaluate complicated numerical codes that fulfill very specialized tasks. Our solution techniques will be developed and discussed from both the chemical/biological point of view and the numerical point of view.
Content
- Computations and MATLAB
- Modeling, Simulation, and Design
- Some Models with Scalar Equations
- Initial Value Problems
- Boundary Value Problems
- Heterogeneous and Multistage Systems
- Industrial Problems
Download PDF Molecular Biology Techniques An intensive laboratory course by Walt Beam
Sinopsis
Molecular biology, in particular recombinant DNA research, has transformed research in the biological and medical sciences. This technology currently influences all aspects of biological research, has far-reaching applications in clinical diagnosis, and has led to important developments in agriculture and biotechnology. This course provides a hands-on introduction to molecular biological methods, including molecular cloning, polymerase chain reaction (PCR), Southern (DNA) blotting, Northern (RNA) blotting, DNA sequencing, oligonucleotide-directed mutagenesis, and protein expression, purification, and detection. You will work with a well-characterized gene (virD2) from the Agrobacterium tumefaciens tumor-inducing (Ti) plasmid. Virulence (v/r) genes mediate transfer of a specific region of the Ti plasmid from A. tumefaciens into host plant cells; oncogenes contained in the transferred DNA integrate into the host nuclear genome where their expression causes tumorous growth. Because we have studied virD2 previously, both starting materials and finished products for each experiment are available. All of the experiments you will do are "real," and most are published. This approach will demonstrate practical aspects of experimental design. Although the gene you will use is bacterial, the techniques apply to any research system.
