/* sdnoise1234, Simplex noise with true analytic * derivative in 1D to 4D. * * Copyright © 2003-2011, Stefan Gustavson * * Contact: stefan.gustavson@gmail.com * * This library is public domain software, released by the author * into the public domain in February 2011. You may do anything * you like with it. You may even remove all attributions, * but of course I'd appreciate it if you kept my name somewhere. * * This library is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * General Public License for more details. */ /** \file \brief C header file for Perlin simplex noise with analytic derivative over 1, 2, 3 and 4 dimensions. \author Stefan Gustavson (stefan.gustavson@gmail.com) */ /* * This is an implementation of Perlin "simplex noise" over one * dimension (x), two dimensions (x,y), three dimensions (x,y,z) * and four dimensions (x,y,z,w). The analytic derivative is * returned, to make it possible to do lots of fun stuff like * flow animations, curl noise, analytic antialiasing and such. * * Visually, this noise is exactly the same as the plain version of * simplex noise provided in the file "snoise1234.c". It just returns * all partial derivatives in addition to the scalar noise value. * */ #include /** 1D simplex noise with derivative. * If the last argument is not null, the analytic derivative * is also calculated. */ float sdnoise1( float x, float *dnoise_dx); /** 2D simplex noise with derivatives. * If the last two arguments are not null, the analytic derivative * (the 2D gradient of the scalar noise field) is also calculated. */ float sdnoise2( float x, float y, float *dnoise_dx, float *dnoise_dy ); /** 3D simplex noise with derivatives. * If the last tthree arguments are not null, the analytic derivative * (the 3D gradient of the scalar noise field) is also calculated. */ float sdnoise3( float x, float y, float z, float *dnoise_dx, float *dnoise_dy, float *dnoise_dz ); /** 4D simplex noise with derivatives. * If the last four arguments are not null, the analytic derivative * (the 4D gradient of the scalar noise field) is also calculated. */ float sdnoise4( float x, float y, float z, float w, float *dnoise_dx, float *dnoise_dy, float *dnoise_dz, float *dnoise_dw);