This section describes the eSOAP toolkit demo package. It consists of the eSOAP
runtime for MS Windows, the demo version of the esoapcg compiler and some
source code examples to help developers learning how to use the toolkit
( run-time ) and how to specify service interfaces using the esoap code
generator (esaopcg).
As all of you know, MATLAB is a powerful engineering language. Because of some limitation, some tasks take very long time to proceed. Also MATLAB is an interpreter not a compiler. For this reason, executing a MATLAB program (m file) is time consuming. For solving this problem, Mathworks provides us C Math Library or in common language, MATLAB API. A developer can employ these APIs to solve engineering problems very fast and easy. This article is about how can use these APIs.
build a modbus client/server for use on the Protocessor (from FieldServer Technologies)
Tools Required:
1. Microchip MCC18 compiler.
2. ICD2 debugger (or other device to program your PIC)
3. Protocessor hardware.
The program md.f implements a simple molecular dynamics simulation in continuous real space. The velocity Verlet algorithm is used to implement the time stepping. The force and energy computations are performed in parallel, as is the time integration. (The program uses some Fortran90 features, so an F90 compiler may be needed.)
CForms, by Lars Berntzon (Stockholm, Sweden), is a tool for building interactive forms-driven applications. CForms applications can run on nany type of library supported by the "curses" library. CForms uses a language-based design to define forms. An application may contain C source modules, field pictures, field definitions, literals, and events. CForms applications must be compiled with the CFC compiler and linked with the CFL linker.CForms runs on most Unix SYSV compatible platforms including SunOS, Dell-SVR4, and Diab SYSV.3. It requires a curses library and yacc or GNU Bison. CForms version 2.1 is now available as volume #402 in the CUG Library.
The second volume in the Write Great Code series supplies the critical information that today s computer science students don t often get from college and university courses: How to carefully choose their high-level language statements to produce efficient code. Write Great Code, Volume 2: Thinking Low-Level, Writing High-Level, teaches software engineers how compilers translate high-level language statements and data structures into machine code. Armed with this knowledge, a software engineer can make an informed choice concerning the use of those high-level structures to help the compiler produce far better machine code--all without having to give up the productivity and portability benefits of using a high-level language
The core of Java(TM) technology, the Java virtual machine is an abstract computing machine that enables the Java(TM) platform to host applications on any computer or operating system without rewriting or recompiling. Anyone interested in designing a language or writing a compiler for the Java virtual machine must have an in-depth understanding of its binary class format and instruction set. If you are programming with the Java programming language, knowledge of the Java virtual machine will give you valuable insight into the Java platform s security capabilities and cross-platform portability. It will increase your understanding of the Java programming language, enabling you to improve the security and performance of your programs.
A framework written in Java for implementing high-level and dynamic languages, compiling them into Java bytecodes.
An implementation of Scheme, which is in the Lisp family of programming languages. Kawa is a featureful dialect in its own right, and additionally provides very useful integration with Java. It can be used as a “scripting language”, but includes a compiler and all the benefits of a “real” programming language, including optional static typing.
