127 lines
No EOL
4.9 KiB
C++
127 lines
No EOL
4.9 KiB
C++
/*
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** Command & Conquer Renegade(tm)
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** Copyright 2025 Electronic Arts Inc.
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**
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** This program is free software: you can redistribute it and/or modify
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** it under the terms of the GNU General Public License as published by
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** the Free Software Foundation, either version 3 of the License, or
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** (at your option) any later version.
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**
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** This program is distributed in the hope that it will be useful,
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** but WITHOUT ANY WARRANTY; without even the implied warranty of
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** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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** GNU General Public License for more details.
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**
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** You should have received a copy of the GNU General Public License
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** along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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/***********************************************************************************************
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*** 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 ***
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***********************************************************************************************
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* *
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* Project Name : Sampler *
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* *
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* $Archive:: /VSS_Sync/wwlib/sampler.h $*
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* *
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* Original Author:: Hector Yee *
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* *
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* $Author:: Vss_sync $*
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* *
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* $Modtime:: 10/26/01 3:13p $*
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* *
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* $Revision:: 2 $*
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* *
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*---------------------------------------------------------------------------------------------*
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* Functions: *
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* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
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#if _MSC_VER >= 1000
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#pragma once
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#endif // _MSC_VER >= 1000
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#ifndef SAMPLER_H
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#define SAMPLER_H
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class Random4Class;
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// This module contains sampling techniques that sample over multidimensional space
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// Dimension is the length of the vector to sample
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// Divisions is used to determine the number of strata to sample over
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// In some samplers, e.g. regular grid, it will repeat after dimension*division calls
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// to sample. A call to sample increments the internal state of the sampler.
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// Hector Yee 6/11/01
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// Abstract base class
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// all these sampling algoriths modify a vector of length Dimensions
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// they all return a value between 0..1
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// Hector Yee 6/11/01
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class SamplingClass
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{
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public:
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SamplingClass(unsigned int dimensions, unsigned char divisions):
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Dimensions(dimensions),
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Divisions(divisions)
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{};
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virtual void Reset() {};
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virtual void Sample(float *target)=0;
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virtual ~SamplingClass() {};
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protected:
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unsigned int Dimensions;
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unsigned char Divisions;
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};
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// Samples randomly in the dimensions using Mesenne Twister
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// divisions ignored
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// Hector Yee 6/11/01
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class RandomSamplingClass : public SamplingClass
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{
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public:
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RandomSamplingClass(unsigned int dimensions, unsigned char divisions=0);
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virtual void Reset() {};
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virtual void Sample(float *target);
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};
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// samples over a regular hypergrid
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// Hector Yee 6/11/01
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class RegularSamplingClass : public SamplingClass
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{
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public:
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RegularSamplingClass(unsigned int dimensions, unsigned char divisions=3);
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virtual void Reset();
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virtual void Sample(float *target);
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virtual ~RegularSamplingClass();
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protected:
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unsigned char *index;
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};
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// samples over a regular hypergrid with random perturbations
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// Hector Yee 6/11/01
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class StratifiedSamplingClass : public SamplingClass
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{
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public:
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StratifiedSamplingClass(unsigned int dimensions, unsigned char divisions=3);
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virtual void Reset();
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virtual void Sample(float *target);
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virtual ~StratifiedSamplingClass();
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protected:
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unsigned char *index;
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};
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// samples using QuasiMonteCarlo
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// divisions ignored
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// based on the Halton-Hammersly sequence which is in turn based on the inverse radical function
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// Hector Yee 6/11/01
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class QMCSamplingClass : public SamplingClass
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{
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public:
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QMCSamplingClass(unsigned int dimensions, unsigned char divisions=0);
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virtual void Reset() {index=0;};
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virtual void Sample(float *target);
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void Set_Offset(unsigned int offset) { index=offset; }
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protected:
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unsigned int index;
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};
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#endif |