#include <SequentialMinimizer.h>
Public Types | |
enum | ImproveRet { Unchanged = 2, Done = 1, NotDone = 0 } |
Public Member Functions | |
const char * | cname () const |
ImproveRet | improve (int steps=1, double ytol=0, double xtol=0, bool force=true) |
void | init (const MinimizerContext &ctx, unsigned int idx, double xmin, double xmax, double xstep, const std::string &name) |
void | initDefault (const MinimizerContext &ctx, unsigned int idx) |
void | initUnbound (const MinimizerContext &ctx, unsigned int idx, double xstep, const std::string &name) |
bool | isInit () const |
double | max () const |
double | min () const |
bool | minimize (int steps=1, double ytol=0, double xtol=0) |
void | moveTo (double x) |
const std::string & | name () const |
OneDimMinimizer (const MinimizerContext &ctx, unsigned int idx, double xmin, double xmax, double xstep, const std::string &name) | |
OneDimMinimizer () | |
OneDimMinimizer (const MinimizerContext &ctx, unsigned int idx) | |
double | step () const |
Private Member Functions | |
void | assign (int to, int from) |
bool | doloop (int steps, double ytol, double xtol) |
double | eval (double x) |
double | eval () |
void | goldenBisection () |
do the golden bisection | |
double | parabolaFit () |
do the parabola fit | |
bool | parabolaStep () |
do the parabola fit | |
void | reseek () |
void | seek () |
search for a triplet of points bracketing the maximum. return false in case of errors | |
double & | x () |
evaluate function at x | |
Private Attributes | |
const MinimizerContext * | f_ |
unsigned int | idx_ |
std::string | name_ |
double | xi_ [3] |
double | xmax_ |
double | xmin_ |
double | xstep_ |
double | yi_ [3] |
Definition at line 26 of file SequentialMinimizer.h.
improve minimum, re-evaluating points (other parameters of the function might have changed) return value is: 0: minimum changed, and did not converge there yet 1: minimum changed, but did converge to it 2: minimum did not change significantly in case 2, then the final position is NOT changed at all. force = true will instead force the update even if it's trivial
Definition at line 63 of file SequentialMinimizer.h.
cmsmath::OneDimMinimizer::OneDimMinimizer | ( | ) | [inline] |
Definition at line 28 of file SequentialMinimizer.h.
cmsmath::OneDimMinimizer::OneDimMinimizer | ( | const MinimizerContext & | ctx, |
unsigned int | idx | ||
) | [inline] |
Definition at line 29 of file SequentialMinimizer.h.
cmsmath::OneDimMinimizer::OneDimMinimizer | ( | const MinimizerContext & | ctx, |
unsigned int | idx, | ||
double | xmin, | ||
double | xmax, | ||
double | xstep, | ||
const std::string & | name | ||
) | [inline] |
void cmsmath::OneDimMinimizer::assign | ( | int | to, |
int | from | ||
) | [inline, private] |
const char* cmsmath::OneDimMinimizer::cname | ( | ) | const [inline] |
Definition at line 35 of file SequentialMinimizer.h.
References name_.
Referenced by cmsmath::SequentialMinimizer::improve().
{ return name_.c_str(); }
bool cmsmath::OneDimMinimizer::doloop | ( | int | steps, |
double | ytol, | ||
double | xtol | ||
) | [private] |
basic loop return false if ended steps, true if reached tolerance
Definition at line 113 of file SequentialMinimizer.cc.
References DEBUG_ODM_printf, i, max(), and relval_steps::steps.
{ if (steps <= 0) steps = 100; for (int i = 0; i < steps; ++i) { if (xtol > 0 && (xi_[2] - xi_[0]) < xtol) { return true; } goldenBisection(); if (ytol > 0 && (std::max(yi_[2],yi_[0]) - yi_[1]) < ytol) { DEBUG_ODM_printf("ODM: intermediate ytol for %s: ymin %.8f, ymax %.8f, diff %.8f\n", name_.c_str(), yi_[1], std::max(yi_[2],yi_[0]), std::max(yi_[2],yi_[0]) - yi_[1]); return true; } DEBUG_ODM_printf("ODM: step %d/%d done for %s: ymin %.8f, ymax %.8f, diff %.8f\n", i+1, steps, name_.c_str(), yi_[1], std::max(yi_[2],yi_[0]), std::max(yi_[2],yi_[0]) - yi_[1]); DEBUG_ODM_printf("ODM: %s x = [%.4f, %.4f, %.4f], y = [%.4f, %.4f, %.4f]\n", name_.c_str(), xi_[0], xi_[1], xi_[2], yi_[0], yi_[1], yi_[2]); } return false; }
double cmsmath::OneDimMinimizer::eval | ( | ) | [inline, private] |
Definition at line 103 of file SequentialMinimizer.h.
References cmsmath::MinimizerContext::eval(), and f_.
{ return f_->eval(); }
double cmsmath::OneDimMinimizer::eval | ( | double | x | ) | [inline, private] |
Definition at line 104 of file SequentialMinimizer.h.
References cmsmath::MinimizerContext::cleanEval(), f_, and idx_.
void cmsmath::OneDimMinimizer::goldenBisection | ( | ) | [private] |
do the golden bisection
pre-condition: the endpoint equal to x1 is not the highest
Definition at line 199 of file SequentialMinimizer.cc.
References assign.
{ //pre-condition: always a sorted interval assert(xi_[0] < xi_[2]); assert(xi_[0] <= xi_[1] && xi_[1] <= xi_[2]); // if midpoint is not not one of the extremes, it's not higher than that extreme assert(xi_[1] == xi_[0] || yi_[1] <= yi_[0]); assert(xi_[1] == xi_[2] || yi_[1] <= yi_[2]); if (xi_[0] == xi_[1] || xi_[1] == xi_[2]) { int isame = (xi_[0] == xi_[1] ? 0 : 2); assert(yi_[isame] <= yi_[2-isame]); xi_[1] = 0.5*(xi_[0]+xi_[2]); yi_[1] = eval(xi_[1]); if (yi_[1] < yi_[isame]) { // maximum is in the interval- // leave as is, next bisection steps will find it } else { // maximum remains on the boundary, leave both points there assign(2-isame, 1); assign(1, isame); } } else { int inear = 2, ifar = 0; if (xi_[2]-xi_[1] > xi_[1] - xi_[0]) { inear = 0, ifar = 2; } else { inear = 2, ifar = 0; } double xc = xi_[1]*GOLD_R1 + xi_[ifar]*GOLD_R2; double yc = eval(xc); //DEBUG_ODM_printf("ODM: goldenBisection:\n\t\tfar = (%.2f,%.8f)\n\t\tnear = (%.2f,%.8f)\n\t\tcenter = (%.2f,%.8f)\n\t\tnew = (%.2f,%.8f)\n", // xi_[ifar], yi_[ifar], xi_[inear], yi_[inear], xi_[1], yi_[1], xc, yc); if (yc < yi_[1]) { // then use 1, c, far assign(inear, 1); xi_[1] = xc; yi_[1] = yc; } else { // then use c, 1, near xi_[ifar] = xc; yi_[ifar] = yc; } } //post-condition: always a sorted interval assert(xi_[0] < xi_[2]); assert(xi_[0] <= xi_[1] && xi_[1] <= xi_[2]); // if midpoint is not not one of the extremes, it's not higher than that extreme assert(xi_[1] == xi_[0] || yi_[1] <= yi_[0]); assert(xi_[1] == xi_[2] || yi_[1] <= yi_[2]); }
cmsmath::OneDimMinimizer::ImproveRet cmsmath::OneDimMinimizer::improve | ( | int | steps = 1 , |
double | ytol = 0 , |
||
double | xtol = 0 , |
||
bool | force = true |
||
) |
Definition at line 47 of file SequentialMinimizer.cc.
References DEBUG_ODM_printf, run_regression::done, max(), and x.
Referenced by cmsmath::SequentialMinimizer::improve().
{ double x0 = x(); if (x0 < xi_[0] || x0 > xi_[2]) { // could happen if somebody outside this loop modifies some parameters DEBUG_ODM_printf("ODM: ALERT: variable %s outside bounds x = [%.4f, %.4f, %.4f], x0 = %.4f\n", name_.c_str(), xi_[0], xi_[1], xi_[2], x0); x0 = x() = xi_[1]; } else { xi_[1] = x0; } double y0 = eval(); yi_[1] = y0; yi_[0] = eval(xi_[0]); yi_[2] = eval(xi_[2]); if (xtol == 0) xtol = (fabs(xi_[1])+XTOL)*XTOL; DEBUG_ODM_printf("ODM: start of improve %s x = [%.4f, %.4f, %.4f], y = [%.4f, %.4f, %.4f]\n", name_.c_str(), xi_[0], xi_[1], xi_[2], yi_[0], yi_[1], yi_[2]); if (yi_[1] <= yi_[0] && yi_[1] <= yi_[2]) { if (ytol > 0 && (std::max(yi_[2],yi_[0]) - yi_[1]) < ytol) { DEBUG_ODM_printf("ODM: immediate ytol for %s: ymin %.8f, ymax %.8f, diff %.8f\n", name_.c_str(), yi_[1], std::max(yi_[2],yi_[0]), std::max(yi_[2],yi_[0]) - yi_[1]); if (!force || parabolaStep()) return Unchanged; } if (xtol > 0 && (xi_[2] - xi_[0]) < xtol) { DEBUG_ODM_printf("ODM: immediate xtol for %s: xmin %.8f, xmax %.8f, diff %.8f\n", name_.c_str(), xi_[0], xi_[2], xi_[2] - xi_[0]); if (!force || parabolaStep()) return Unchanged; } } else { reseek(); } //post-condition: always a sorted interval assert(xi_[0] < xi_[2]); assert(xi_[0] <= xi_[1] && xi_[1] <= xi_[2]); // if midpoint is not not one of the extremes, it's not higher than that extreme assert(xi_[1] == xi_[0] || yi_[1] <= yi_[0]); assert(xi_[1] == xi_[2] || yi_[1] <= yi_[2]); bool done = doloop(steps,ytol,xtol); parabolaStep(); //post-condition: always a sorted interval assert(xi_[0] < xi_[2]); assert(xi_[0] <= xi_[1] && xi_[1] <= xi_[2]); // if midpoint is not not one of the extremes, it's not higher than that extreme assert(xi_[1] == xi_[0] || yi_[1] <= yi_[0]); assert(xi_[1] == xi_[2] || yi_[1] <= yi_[2]); if (ytol > 0 && fabs(yi_[1] - y0) < ytol) { DEBUG_ODM_printf("ODM: final ytol for %s: ymin(old) %.8f, ymin(new) %.8f, diff %.8f\n", name_.c_str(), y0, yi_[1], y0 -yi_[1]); if (!force) x() = x0; return Unchanged; } if (xtol > 0 && fabs(xi_[1] - x0) < xtol) { x() = (force ? xi_[1] : x0); return Unchanged; } DEBUG_ODM_printf("ODM: doloop for %s is %s\n", name_.c_str(), done ? "Done" : "NotDone"); DEBUG_ODM_printf("ODM: end of improve %s x = [%.4f, %.4f, %.4f], y = [%.4f, %.4f, %.4f]\n", name_.c_str(), xi_[0], xi_[1], xi_[2], yi_[0], yi_[1], yi_[2]); x() = xi_[1]; xstep_ = xi_[2] - xi_[0]; return done ? Done : NotDone; }
void cmsmath::OneDimMinimizer::init | ( | const MinimizerContext & | ctx, |
unsigned int | idx, | ||
double | xmin, | ||
double | xmax, | ||
double | xstep, | ||
const std::string & | name | ||
) | [inline] |
Definition at line 41 of file SequentialMinimizer.h.
References f_, UserOptions_cff::idx, idx_, name(), name_, xmax_, xmin_, and xstep_.
Referenced by initDefault(), and initUnbound().
void cmsmath::OneDimMinimizer::initDefault | ( | const MinimizerContext & | ctx, |
unsigned int | idx | ||
) |
Definition at line 30 of file SequentialMinimizer.cc.
References infinity, and init().
{ init(ctx, idx, -std::numeric_limits<double>::infinity(), std::numeric_limits<double>::infinity(), 1.0, Form("#%d", idx)); }
void cmsmath::OneDimMinimizer::initUnbound | ( | const MinimizerContext & | ctx, |
unsigned int | idx, | ||
double | xstep, | ||
const std::string & | name | ||
) | [inline] |
Definition at line 46 of file SequentialMinimizer.h.
References infinity, and init().
{ init(ctx, idx, -std::numeric_limits<double>::infinity(), std::numeric_limits<double>::infinity(), xstep, name); }
bool cmsmath::OneDimMinimizer::isInit | ( | ) | const [inline] |
Definition at line 40 of file SequentialMinimizer.h.
References f_.
Referenced by cmsmath::SequentialMinimizer::minimize().
{ return f_ != 0; }
double cmsmath::OneDimMinimizer::max | ( | ) | const [inline] |
Definition at line 36 of file SequentialMinimizer.h.
References xmax_.
Referenced by cmsmath::SequentialMinimizer::doFullMinim().
{ return xmax_; }
double cmsmath::OneDimMinimizer::min | ( | ) | const [inline] |
Definition at line 37 of file SequentialMinimizer.h.
References xmin_.
Referenced by cmsmath::SequentialMinimizer::doFullMinim().
{ return xmin_; }
bool cmsmath::OneDimMinimizer::minimize | ( | int | steps = 1 , |
double | ytol = 0 , |
||
double | xtol = 0 |
||
) |
do N steps of golden bisection (or until tolerance in x, y is reached) return true if converged, false if finished steps
Definition at line 35 of file SequentialMinimizer.cc.
References run_regression::done, and x.
Referenced by cmsmath::SequentialMinimizer::minimize().
void cmsmath::OneDimMinimizer::moveTo | ( | double | x | ) |
Definition at line 285 of file SequentialMinimizer.cc.
Referenced by cmsmath::SequentialMinimizer::doFullMinim().
{ if (x == xmax_) { xi_[0] = xmax_ - (xi_[2]-xi_[0]); yi_[0] = eval(xi_[0]); xi_[1] = xmax_; yi_[1] = eval(xmax_); xi_[2] = xmax_; yi_[2] = yi_[1]; } else if (x == xmin_) { xi_[2] = xmin_ + (xi_[2]-xi_[0]); yi_[2] = eval(xi_[0]); xi_[1] = xmin_; yi_[1] = eval(xmin_); xi_[0] = xmin_; yi_[0] = yi_[1]; } else { double dx = xi_[2] - xi_[0]; xi_[1] = x; yi_[0] = eval(x); xi_[0] = std::max(xmin_, x-dx); yi_[0] = eval(xi_[0]); xi_[2] = std::min(xmax_, x+dx); yi_[2] = eval(xi_[2]); } }
const std::string& cmsmath::OneDimMinimizer::name | ( | void | ) | const [inline] |
Definition at line 34 of file SequentialMinimizer.h.
References name_.
Referenced by cmsmath::SequentialMinimizer::doFullMinim(), and init().
{ return name_; }
double cmsmath::OneDimMinimizer::parabolaFit | ( | ) | [private] |
do the parabola fit
Definition at line 248 of file SequentialMinimizer.cc.
References x.
{ if (xi_[0] == xi_[1] || xi_[1] == xi_[2]) { return xi_[1]; } double dx0 = xi_[1] - xi_[0], dx2 = xi_[1] - xi_[2]; double dy0 = yi_[1] - yi_[0], dy2 = yi_[1] - yi_[2]; double num = dx0*dx0*dy2 - dx2*dx2*dy0; double den = dx0*dy2 - dx2*dy0; if (den != 0) { double x = xi_[1] - 0.5*num/den; if (xi_[0] < x && x < xi_[2]) { return x; } } return xi_[1]; }
bool cmsmath::OneDimMinimizer::parabolaStep | ( | ) | [private] |
do the parabola fit
Definition at line 266 of file SequentialMinimizer.cc.
{ double xc = parabolaFit(); if (xc != xi_[1]) { double yc = eval(xc); if (yc < yi_[1]) { xi_[1] = xc; yi_[1] = yc; //post-condition: always a sorted interval assert(xi_[0] < xi_[2]); assert(xi_[0] <= xi_[1] && xi_[1] <= xi_[2]); // if midpoint is not not one of the extremes, it's not higher than that extreme assert(xi_[1] == xi_[0] || yi_[1] <= yi_[0]); assert(xi_[1] == xi_[2] || yi_[1] <= yi_[2]); return true; } } return false; }
void cmsmath::OneDimMinimizer::reseek | ( | ) | [private] |
re-search for a triplet of points bracketing the maximum. return false in case of errors assume that value and error make sense
Definition at line 141 of file SequentialMinimizer.cc.
References assign, i, max(), min, and x.
{ double xtol2 = 2*(fabs(xi_[1])+XTOL)*XTOL; if (xstep_ < xtol2) xstep_ = xtol2; xi_[1] = x(); yi_[1] = eval(xi_[1]); xi_[0] = std::max(xmin_, xi_[1]-xstep_); yi_[0] = (xi_[0] == xi_[1] ? yi_[1] : eval(xi_[0])); xi_[2] = std::min(xmax_, xi_[1]+xstep_); yi_[2] = (xi_[2] == xi_[1] ? yi_[1] : eval(xi_[2])); assert(xi_[0] < xi_[2]); assert(xi_[0] <= xi_[1] && xi_[1] <= xi_[2]); for (;;) { //DEBUG_ODM_printf("ODM: bracketing %s in x = [%.4f, %.4f, %.4f], y = [%.4f, %.4f, %.4f]\n", name_.c_str(), xi_[0], xi_[1], xi_[2], yi_[0], yi_[1], yi_[2]); if (yi_[0] < yi_[1]) { assign(2,1); // 2:=1 assign(1,0); // 1:=0 xi_[0] = std::max(xmin_, xi_[1]-xstep_); yi_[0] = (xi_[0] == xi_[1] ? yi_[1] : eval(xi_[0])); } else if (yi_[2] < yi_[1]) { assign(0,1); // 0:=1 assign(1,2); // 1:=2 xi_[2] = std::min(xmax_, xi_[1]+xstep_); yi_[2] = (xi_[2] == xi_[1] ? yi_[1] : eval(xi_[2])); } else if (yi_[2] == yi_[1] && yi_[1] == yi_[0]) { // function is identical in three points --> constant? // try a scan const int nPoints = 20; double xi[nPoints], yi[nPoints]; double dx = (xmax_-xmin_)/nPoints, x = xmin_ - 0.5*dx; bool isConst = true; int iFound = 0; for (int i = 0; i < nPoints; ++i, x += dx) { xi[i] = x; yi[i] = eval(x); if (yi[i] != yi_[1]) isConst = false; if (yi[i] < yi[iFound]) { iFound = i; } } if (isConst) break; xi_[0] = (iFound == 0 ? xmin_ : xi[iFound-1]); xi_[2] = (iFound > nPoints-1 ? xmax_ : xi[iFound+1]); xi_[1] = iFound; yi_[1] = yi_[iFound]; break; } else { xstep_ /= 2; break; } xstep_ *= 2; } //DEBUG_ODM_printf("ODM: bracketed minimum of %s in [%.4f, %.4f, %.4f]\n", name_.c_str(), xi_[0], xi_[1], xi_[2]); //post-condition: always a sorted interval assert(xi_[0] < xi_[2]); assert(xi_[0] <= xi_[1] && xi_[1] <= xi_[2]); // if midpoint is not not one of the extremes, it's not higher than that extreme assert(xi_[1] == xi_[0] || yi_[1] <= yi_[0]); assert(xi_[1] == xi_[2] || yi_[1] <= yi_[2]); }
void cmsmath::OneDimMinimizer::seek | ( | ) | [private] |
double cmsmath::OneDimMinimizer::step | ( | ) | const [inline] |
Definition at line 38 of file SequentialMinimizer.h.
References xstep_.
Referenced by cmsmath::SequentialMinimizer::doFullMinim().
{ return xstep_; }
double& cmsmath::OneDimMinimizer::x | ( | ) | [inline, private] |
evaluate function at x
Definition at line 102 of file SequentialMinimizer.h.
References f_, idx_, and cmsmath::MinimizerContext::x.
const MinimizerContext* cmsmath::OneDimMinimizer::f_ [private] |
unsigned int cmsmath::OneDimMinimizer::idx_ [private] |
Definition at line 71 of file SequentialMinimizer.h.
std::string cmsmath::OneDimMinimizer::name_ [private] |
Definition at line 73 of file SequentialMinimizer.h.
double cmsmath::OneDimMinimizer::xi_[3] [private] |
Definition at line 76 of file SequentialMinimizer.h.
Referenced by assign().
double cmsmath::OneDimMinimizer::xmax_ [private] |
Definition at line 79 of file SequentialMinimizer.h.
double cmsmath::OneDimMinimizer::xmin_ [private] |
Definition at line 79 of file SequentialMinimizer.h.
double cmsmath::OneDimMinimizer::xstep_ [private] |
Definition at line 79 of file SequentialMinimizer.h.
double cmsmath::OneDimMinimizer::yi_[3] [private] |
Definition at line 76 of file SequentialMinimizer.h.
Referenced by assign().