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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

func (g *EnergyGenerator) langevinStep(x []float64) []float64 · Langevin dynamics: x_new

This relation defines Langevin dynamics: x_new in the source section “func (g *EnergyGenerator) langevinStep(x []float64) []float64 · Langevin dynamics: x_new”. Takes a square root, requiring a nonnegative real radicand when interpreted over the reals. Its…

Implementation mathematicsSource recovered; runtime not executed
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gh-eq-29d9d33adb29c9ffsource-comment-equation
Langevindynamics:xnew=x−stepsize∗grad+sqrt(2∗stepsize∗temp)∗noiseLangevin dynamics: x_new = x - step_size * grad + sqrt(2 * step_size * temp) * noise

Read the equation

This relation defines Langevin dynamics: x_new in the source section “func (g *EnergyGenerator) langevinStep(x []float64) []float64 · Langevin dynamics: x_new”. Takes a square root, requiring a nonnegative real radicand when interpreted over the reals. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

  1. Read Langevin dynamics: x_new as the quantity being defined or updated by this relation.

  2. Takes a square root, requiring a nonnegative real radicand when interpreted over the reals.

  3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

  • This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

Read the surrounding source passage
// langevinStep performs one Langevin dynamics step
func (g *EnergyGenerator) langevinStep(x []float64) []float64 {
	grad := g.computeEnergyGradient(x)

	xNew := make([]float64, len(x))
	for i := range x {
		// Langevin dynamics: x_new = x - step_size * grad + sqrt(2 * step_size * temp) * noise
		noise := rand.NormFloat64()
		xNew[i] = x[i] - g.stepSize*grad[i] + math.Sqrt(2*g.stepSize*g.temperature)*noise
	}

	return xNew
}

// Forward performs forward pass (energy computation)
func (g *EnergyGenerator) Forward(input []float64) (*generators.GeneratorOutput, error) {
	state := g.GetState()
Exact original notation
Langevin dynamics: x_new = x - step_size * grad + sqrt(2 * step_size * temp) * noise

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