Provides a domain specific language (DSL) for math engineering (matlab-like syntax).
GroovyLab is a set of Groovy classes and Java libraries. It provides common linear algebra and plot static methods easily usable in any groovy script or class.
GroovyLab is fully usable, but still in development status. It is based on JMathTools Java API (based on JAMA and RngPack).
GroovyLab is just provided to start a math engineering DSL sub-project of Groovy. If you need GroovyLab, GroovyLab also needs you...
Source release available at GroovyLab website
Just extract the GroovyLab archive, and try to run examples cases using groovylab.bat or groovylab script: '
GroovyLab is based on Groovy 1.1 and Java 1.5.
The following example shows GroovyLab in action:
import static org.math.array.Matrix.* import static org.math.plot.Plot.* def A = rand(10,3) println A plot("A",A,"SCATTER")
import static org.math.array.Matrix.* import static org.math.plot.Plot.* def A = rand(10,3) // random Matrix of 10 rows and 3 columns def B = fill(10,3,1.0) // one Matrix of 10 rows and 3 columns def C = A + B // support for matrix addition with "+" or "-" def D = A - 2.0 // support for number addition with "+" or "-" def E = A * B // support for matrix multiplication or division def F = rand(3,3) def G = F**(-1) // support for matrix power (with integers only) println A // display Matrix content plot("A",A,"SCATTER") // plot Matrix values as ScatterPlot def M = rand(5,5) + id(5) //Eigenvalues decomposition println "M=\n" + M println "V=\n" + V(M) println "D=\n" + D(M) println "M~\n" + (V(M) * D(M) * V(M)**(-1))