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 fun(self, x, *args):
      self.nfev += 1
  
      return -sum(sin(10.0 * log(x)))
  
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 2 for calling the Vincent obj's underlying member method code with example usage: obj.fun(x) and returns: unknown