Programming language processors
Programming language processors
A framework for interprocedural optimization in the presence of dynamic class loading
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
Building parsers with Java
Numerical Recipes in C++: the art of scientific computing
Numerical Recipes in C++: the art of scientific computing
Efficient Java RMI for parallel programming
ACM Transactions on Programming Languages and Systems (TOPLAS)
The Mathematica Guidebook: Programming with CD-ROM
The Mathematica Guidebook: Programming with CD-ROM
Advanced Engineering Mathematics: Maple Computer Guide
Advanced Engineering Mathematics: Maple Computer Guide
Constructing Intelligent Agents Using Java
Constructing Intelligent Agents Using Java
Java Number Cruncher: The Java Programmer's Guide to Numerical Computing
Java Number Cruncher: The Java Programmer's Guide to Numerical Computing
Criteria for Transportable ALGOL Libraries
Portability of Numerical Software, Workshop
Java Reflection in Action (In Action series)
Java Reflection in Action (In Action series)
Technology Reviews: 3Ms for Instruction: Reviews of Maple, Mathematica, and Matlab
Computing in Science and Engineering
Matlab Guide
3Ms for Instruction, Part 2: Maple, Mathematica, and Matlab
Computing in Science and Engineering
Principles of Compiler Design (Addison-Wesley series in computer science and information processing)
Principles of Compiler Design (Addison-Wesley series in computer science and information processing)
Java 6 New Features
Introduction to Neural Networks with Java
Introduction to Neural Networks with Java
Computer Graphics Using Java 2D and 3D
Computer Graphics Using Java 2D and 3D
Core Java 2 - Volumen I - Fundamentos
Core Java 2 - Volumen I - Fundamentos
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Modeling and Simulation in Scilab/Scicos with ScicosLab 4.4
Modeling and Simulation in Scilab/Scicos with ScicosLab 4.4
Matlab-like scripting for the java platform with the jLab environment
WSEAS Transactions on Information Science and Applications
Scientific scripting for the java platform with a matlab-like scripting engine
ISTASC'08 Proceedings of the 8th conference on Systems theory and scientific computation
AIC'08 Proceedings of the 8th conference on Applied informatics and communications
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The jLab environment extends the potential of Java for scientific computing. It provides a Matlab/Scilab like scripting language that is executed by an interpreter implemented in the Java language. The scripting language supports the basic programming constructs with Matlab like matrix manipulation operators. The jLab ''core'' provides the general purpose functionality with an extensive set of built in mathematical routines that cover all the basic numerical analysis tasks. Application specific functionality can be dynamically ''plugged'' in jLab by means of toolboxes. These toolboxes can be easily implemented in Java. They are packaged in .jar files for convenient handling and their corresponding classes can be dynamically integrated to the system. The important advantage of jLab compared to other similar environments is the potentiality to dynamically and automatically integrate Java code to the system in order to obtain both execution speed and to reduce the programming effort. This task is supported both by an easy to use extension Java class wizard and by application specific class wizards that automate the utilization of jLab's scientific libraries. Numerical analysis algorithms can require enormous computation resources and at the same time an expressive programming environment. We demonstrate the potentiality of jLab by describing the implementation of a simple numerical analysis algorithm that detects the zero of a function. Also an additional example concerning the solution of ODEs with the compute intensive Runge-Kutta methods is illustrated. The former task can be facilitated with the external class wizard while the ODE wizard can completely automate the later.