Function optimize

optimize<T>(data, peaks, options?): {
    error: number;
    iterations: number;
    peaks: OptimizedPeakIDOrNot<T>[];
}
Fits a set of points to the sum of a set of bell functions.
Type Parameters
- T extends Peak
Parameters
- data: DataXY<DoubleArray>
  An object containing the x and y data to be fitted.
- peaks: T[]
  A list of initial parameters to be optimized. e.g. coming from a peak picking [{x, y, width}].
- options: OptimizeOptions = {}
  Options for optimize
Returns {
    error: number;
    iterations: number;
    peaks: OptimizedPeakIDOrNot<T>[];
}
- An object with fitting error and the list of optimized parameters { parameters: [ {x, y, width} ], error } if the kind of shape is pseudoVoigt mu parameter is optimized.
- error: number
- iterations: number
- peaks: OptimizedPeakIDOrNot<T>[]
- Defined in index.ts:111