blob: 292bf5c9ee1b19997998548865fd35a3f0f5b20f [file] [log] [blame]
// Copyright ©2014 The gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package optimize
import "gonum.org/v1/gonum/floats"
// GradientDescent implements the steepest descent optimization method that
// performs successive steps along the direction of the negative gradient.
type GradientDescent struct {
// Linesearcher selects suitable steps along the descent direction.
// If Linesearcher is nil, a reasonable default will be chosen.
Linesearcher Linesearcher
// StepSizer determines the initial step size along each direction.
// If StepSizer is nil, a reasonable default will be chosen.
StepSizer StepSizer
ls *LinesearchMethod
}
func (g *GradientDescent) Init(loc *Location) (Operation, error) {
if g.Linesearcher == nil {
g.Linesearcher = &Backtracking{}
}
if g.StepSizer == nil {
g.StepSizer = &QuadraticStepSize{}
}
if g.ls == nil {
g.ls = &LinesearchMethod{}
}
g.ls.Linesearcher = g.Linesearcher
g.ls.NextDirectioner = g
return g.ls.Init(loc)
}
func (g *GradientDescent) Iterate(loc *Location) (Operation, error) {
return g.ls.Iterate(loc)
}
func (g *GradientDescent) InitDirection(loc *Location, dir []float64) (stepSize float64) {
copy(dir, loc.Gradient)
floats.Scale(-1, dir)
return g.StepSizer.Init(loc, dir)
}
func (g *GradientDescent) NextDirection(loc *Location, dir []float64) (stepSize float64) {
copy(dir, loc.Gradient)
floats.Scale(-1, dir)
return g.StepSizer.StepSize(loc, dir)
}
func (*GradientDescent) Needs() struct {
Gradient bool
Hessian bool
} {
return struct {
Gradient bool
Hessian bool
}{true, false}
}