Package space.kscience.kmath.commons.optimization

Types

CMOptimizationProblem

class CMOptimizationProblem(symbols: List<Symbol>) : OptimizationProblem<Double> , SymbolIndexer, OptimizationFeature

chiSquared

fun Fitting.chiSquared(x: Iterable<Double>, y: Iterable<Double>, yErr: Iterable<Double>, model: DerivativeStructureField.(x: DerivativeStructure) -> DerivativeStructure): DifferentiableExpression<Double, Expression<Double>>

Generate a chi squared expression from given x-y-sigma data and inline model.

fun Fitting.chiSquared(x: Buffer<Double>, y: Buffer<Double>, yErr: Buffer<Double>, model: DerivativeStructureField.(x: DerivativeStructure) -> DerivativeStructure): DifferentiableExpression<Double, Expression<Double>>

Generate a chi squared expression from given x-y-sigma data and inline model.

component1

operator fun PointValuePair.component1(): DoubleArray

component2

operator fun PointValuePair.component2(): Double

initialGuess

minimize

fun DifferentiableExpression<Double, Expression<Double>>.minimize(vararg startPoint: Pair<Symbol, Double>, configuration: CMOptimizationProblem.() -> Unit = {}): OptimizationResult<Double>

optimize

fun DifferentiableExpression<Double, Expression<Double>>.optimize(vararg symbols: Symbol, configuration: CMOptimizationProblem.() -> Unit): OptimizationResult<Double>

Optimize differentiable expression

fun Expression<Double>.optimize(vararg symbols: Symbol, configuration: CMOptimizationProblem.() -> Unit): OptimizationResult<Double>

Optimize expression without derivatives

simplexSteps