Thanks for sharing this. I'm glad to see symbolics being used, even if it
isn't Python.

I would suggest putting a LICENSE in the project, so it is clear to people
that they can use the code (if you're unsure what to use, I would suggest
BSD, the same as SymPy).

Aaron Meurer

On Thu, Jan 15, 2015 at 7:38 PM, yueming liu <[email protected]> wrote:

> Just finished a prototype of the project SymJava (
> https://github.com/yuemingl/SymJava ) which is similar to sympy.
> Actually, I borrowed some ideas from sympy. Thanks all the sympy
> contributors.
>
> The reason to develop this library is that sympy can NOT run on JPython
> :(. I have another Java library FuturEye for numerical computation to solve
> PDE constrained inverse problems. Symbolic computation is important for
> this library since it will reduce a huge amount of time with automatic
> functional derivative computation.
>
> Here is a piece of example code of SymJava:
>
> Expr expr = x + y * z;
>
> System.out.println(expr); //x + y*z
>
> Expr expr2 = expr.subs(x, y*y);
>
> System.out.println(expr2); //y^2 + y*z
>
> System.out.println(expr2.diff(y)); //2*y + z
>
> Func f = new Func("f1", expr2.diff(y));
>
> System.out.println(f); //f1(y,z)
>
> BytecodeFunc func = f.toBytecodeFunc(); //Similar to the lambdify in sympy
>
> System.out.println(func.apply(1,2)); //4.0
>
> There are two important features:
>
> 1. Operator Overloading is implemented by using
> https://github.com/amelentev/java-oo
>
> 2. Lambdify in sympy is implemented in SymJava by using BCEL library
>
> Let me know if any one interested in this? Just send me an email:
> nkliuyuemingATgmail.com
>
>
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