/* ** Command & Conquer Renegade(tm) ** Copyright 2025 Electronic Arts Inc. ** ** This program is free software: you can redistribute it and/or modify ** it under the terms of the GNU General Public License as published by ** the Free Software Foundation, either version 3 of the License, or ** (at your option) any later version. ** ** This program 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. ** ** You should have received a copy of the GNU General Public License ** along with this program. If not, see . */ /*********************************************************************************************** *** C O N F I D E N T I A L --- W E S T W O O D S T U D I O S *** *********************************************************************************************** * * * Project Name : Sampler * * * * $Archive:: /VSS_Sync/wwlib/sampler.h $* * * * Original Author:: Hector Yee * * * * $Author:: Vss_sync $* * * * $Modtime:: 10/26/01 3:13p $* * * * $Revision:: 2 $* * * *---------------------------------------------------------------------------------------------* * Functions: * * - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ #if _MSC_VER >= 1000 #pragma once #endif // _MSC_VER >= 1000 #ifndef SAMPLER_H #define SAMPLER_H class Random4Class; // This module contains sampling techniques that sample over multidimensional space // Dimension is the length of the vector to sample // Divisions is used to determine the number of strata to sample over // In some samplers, e.g. regular grid, it will repeat after dimension*division calls // to sample. A call to sample increments the internal state of the sampler. // Hector Yee 6/11/01 // Abstract base class // all these sampling algoriths modify a vector of length Dimensions // they all return a value between 0..1 // Hector Yee 6/11/01 class SamplingClass { public: SamplingClass(unsigned int dimensions, unsigned char divisions): Dimensions(dimensions), Divisions(divisions) {}; virtual void Reset() {}; virtual void Sample(float *target)=0; virtual ~SamplingClass() {}; protected: unsigned int Dimensions; unsigned char Divisions; }; // Samples randomly in the dimensions using Mesenne Twister // divisions ignored // Hector Yee 6/11/01 class RandomSamplingClass : public SamplingClass { public: RandomSamplingClass(unsigned int dimensions, unsigned char divisions=0); virtual void Reset() {}; virtual void Sample(float *target); }; // samples over a regular hypergrid // Hector Yee 6/11/01 class RegularSamplingClass : public SamplingClass { public: RegularSamplingClass(unsigned int dimensions, unsigned char divisions=3); virtual void Reset(); virtual void Sample(float *target); virtual ~RegularSamplingClass(); protected: unsigned char *index; }; // samples over a regular hypergrid with random perturbations // Hector Yee 6/11/01 class StratifiedSamplingClass : public SamplingClass { public: StratifiedSamplingClass(unsigned int dimensions, unsigned char divisions=3); virtual void Reset(); virtual void Sample(float *target); virtual ~StratifiedSamplingClass(); protected: unsigned char *index; }; // samples using QuasiMonteCarlo // divisions ignored // based on the Halton-Hammersly sequence which is in turn based on the inverse radical function // Hector Yee 6/11/01 class QMCSamplingClass : public SamplingClass { public: QMCSamplingClass(unsigned int dimensions, unsigned char divisions=0); virtual void Reset() {index=0;}; virtual void Sample(float *target); void Set_Offset(unsigned int offset) { index=offset; } protected: unsigned int index; }; #endif