Almost a year ago, Microsoft has introduced the .NET architecture as a new component-based programming environment, which allows for easy integration of classical distributed programming techniques with Web computing. .NET defines a type system and introduces notions such as component, object, and interface, which are building blocks for distributed multi-language component-based applications. ...

Bibliography 119 Index 123 6 CONTENTS Preface The Goal language is a high-level programming language for programming multi-agent systems. The language has been designed for the programming of cognitive and autonomous decision-making agents. Goal is a rule-based language that supports reasoning about knowledge and the goals an agent pursues. Cognitive agents maintain a mental state and derive th...

We present a library of C++ classes for writing mathematical optimization models in C++. The library deenes classes to represent the variables and constraints of models, and also deenes overloaded operators on these classes which results in a natural syntax for model deenition. The system requires programming in C++ for its use, and is hence most suitable for the advanced programmer/modeler. Fo...

The attached paper by Andrew Birrell, An Introduction to Programming with C# Threads, originally appeared as An Introduction to Programming with Threads, report 35 of the Systems Research Center, Digital Equipment Corp., Jan. 1989; it was based on the Modula-3 language. A somewhat revised version appears as chapter 4 of Systems Programming with Modula-3, Greg Nelson ed., Prentice-Hall, 1991, pp...

Stochastic programming presents many challenges to modelling environments. One major challenge is to support the efficient processing of model artifacts as stochastic parameters change and scenarios are generated. In this paper we present an example that combines COIN-OR packages FLOPC++ and SMI to produce a C++ program, which generates and solves the extensive form of a stochastic program know...

Computer simulations are essential in virtually every scienti c discipline, even more so in those such as economics or climate change where the ability to make laboratory experiments is limited. Therefore, it is important to ensure that the models are implemented correctly, that they can be re-implemented and that the results can be reproduced. Typically, though, the models are described by a m...

Embedded software development suffers from inadequate languages and tools. The C programming language does not provide means for defining adequate abstractions. Furthermore, modeling tools and their languages are typically closed and cannot be adapted to particular domains. In this paper we present the current state of an extensible language based on C that combines the best of both worlds. The...

Nowadays, one of the most important challenges in programming is the efficient usage of multicore processors. All modern programming languages support multicore programming at native or library level. C++11, the next standard of the C++ programming language, also supports multithreading at a low level. In this paper we argue for some extensions of the C++ Standard Template Library based on the ...

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