class_docstr: Vincent objective function.
  
  This class defines the Vincent [1]_ global optimization problem. This
  is a multimodal minimization problem defined as follows:
  
  .. math::
  
      f_{\text{Vincent}}(x) = - \sum_{i=1}^{n} \sin(10 \log(x))
  
  Here, :math:`n` represents the number of dimensions and
  :math:`x_i \in [0.25, 10]` for :math:`i = 1, ..., n`.
  
  *Global optimum*: :math:`f(x) = -n` for :math:`x_i = 7.70628098`
  for :math:`i = 1, ..., n`
  
  .. [1] Gavana, A. Global Optimization Benchmarks and AMPGO retrieved 2015
code: def __init__(self, dimensions=2):
      Benchmark.__init__(self, dimensions)
  
      self._bounds = list(zip([0.25] * self.N, [10.0] * self.N))
  
      self.global_optimum = [[7.70628098 for _ in range(self.N)]]
      self.fglob = -float(self.N)
      self.change_dimensionality = True
  
file_path: scipy/benchmarks/benchmarks/go_benchmark_functions/go_funcs_V.py
imports: from numpy import sum, cos, sin, log
  from .go_benchmark import Benchmark
label_desc: Use image node_id 1 to create a new Vincent object from inherited base classes: Benchmark with example: obj = Vincent(dimensions)