Function plotter + analyzer

I would search around for an open source graphing application. The biggest problem with computers and mathematics is always overflow. You must make sure ur code is tough enough to handle ridiculous inputs such as divide by zero and fail gracefully. I'll look around, if I find something I'll let you know.

EDIT: wth is CUDA?

CUDA = some architecture developed by NVIDIA.

EDIT : This is the introduction for the article on CUDA in Wikipedia.

CUDA (an acronym for Compute Unified Device Architecture) is a parallel computing architecture developed by NVIDIA. CUDA is the computing engine in NVIDIA graphics processing units (GPUs) that is accessible to software developers through variants of industry standard programming languages. Programmers use 'C for CUDA' (C with NVIDIA extensions and certain restrictions), compiled through a PathScale Open64 C compiler,[1] to code algorithms for execution on the GPU. CUDA architecture shares a range of computational interfaces with two competitors -the Khronos Group's Open Computing Language[2] and Microsoft's DirectCompute[3]. Third party wrappers are also available for Python, Perl, Fortran, Java, Ruby, Lua, and MATLAB.

CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs. Using CUDA, the latest NVIDIA GPUs become accessible for computation like CPUs. Unlike CPUs however, GPUs have a parallel throughput architecture that emphasizes executing many concurrent threads slowly, rather than executing a single thread very fast. This approach of solving general purpose problems on GPUs is known as GPGPU.

In the computer game industry, in addition to graphics rendering, GPUs are used in game physics calculations (physical effects like debris, smoke, fire, fluids); examples include PhysX and Bullet. CUDA has also been used to accelerate non-graphical applications in computational biology, cryptography and other fields by an order of magnitude or more.[4][5][6][7] An example of this is the BOINC distributed computing client.[8]

CUDA provides both a low level API and a higher level API. The initial CUDA SDK was made public on 15 February 2007, for Microsoft Windows and Linux. Mac OS X support was later added in version 2.0[9], which supersedes the beta released February 14, 2008.[10] CUDA works with all NVIDIA GPUs from the G8X series onwards, including GeForce, Quadro and the Tesla line. NVIDIA states that programs developed for the GeForce 8 series will also work without modification on all future NVIDIA video cards, due to binary compatibility.

Yeah, I already have a nice way of drawing the graphs without killing my cards in the process. The only problem is when I want to find out certain attributes of the functions. And I know of a few open source (sadly windows and java) graphing programs but I need something more tutorial-ish.

Umm, just a question - if you already have a nice way of drawing the graphs, why do you need a tutorial-ish type thing? /:

-confuzzled-

The card is not the probbie.
Try sending a Funct with impossible crap or Graphing something that Divides by Zero through your card without crap management, You will see what he means.

If he tries dividing by 0 his computer will implode. It's not worth the risk.

It's more fun to see something explode than implode. /:

My desktop has 4x gtx480, I also have a quadro 4800 (got it relatively cheap when my friend upgraded his stuff). I'm hoping I'll get access to a tesla workstation soon though. Oh and my laptop has a 210gt or whatever

And why do I need a tutorial-ish thing? I'm not about to go through thousands of lines of code and figure out what they were doing if I already have my base created. I just need to find out what would be the easiest way to perform calculations with the functions / graphs.