Function fitSimplex

fitSimplex(target: TargetFn<number[]>, location: number[], control?: Partial<SimplexControlParam>, maxIterations?: number): { converged: boolean; data: any; evaluations: number; iterations: number; location: number[]; value: number }

Run the Simplex algorithm on a target function. This is a convenience function and offers little control but a compact interface. For more control, use Simplex directly.

Returns
See Simplex.result for details
Parameters
- target: TargetFn<number[]>
  
  The function to be minimised
- location: number[]
  
  The initial location to start the search from
- control: Partial<SimplexControlParam> = {}
  
  Control parameters, as an object
- maxIterations: number = 200
  
  The maximum number of iterations, per dimension, of the algorithm (calls to Simplex.step()) to take. For example, if you pass maxIterations of 200 and are solving a problem where location.length is 5, you'll take a maximum of 1000 steps in total. If we converge before hitting this number we will return early.
Returns { converged: boolean; data: any; evaluations: number; iterations: number; location: number[]; value: number }
- converged: boolean
  
  Has the algorithm converged?
- data: any
  
  Any additional data returned by the target function, for this point
- evaluations: number
  
  The number of times that target has been called so far
- iterations: number
  
  The number of times that step has been called so far
- location: number[]
  
  The best found location
- value: number
  
  The value of target(location)

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