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facial-expression-detection icon facial-expression-detection

Facial Expression or Facial Emotion Detector can be used to know whether a person is sad, happy, angry and so on only through his/her face. This Repository can be used to carry out such a task.

one-dimensional-optimization---exhaustive-search icon one-dimensional-optimization---exhaustive-search

The exhaustive search method can be used to solve problems where the interval in which the optimum is known to lie is finite. If xs and xf denote, respectively, the starting and final points of the interval of uncertainty. The exhaustive search method consists of evaluating the objective function at a predetermined number of equally spaced points in the interval (xs,xf ), and reducing the interval of uncertainty using the assumption of unimodality. Since the function is evaluated at all n points simultaneously, this method can be called a simultaneous search method. The codSince the function is evaluated at all n points simultaneously, this method can be called a simultaneous search method. e is for the following question : find the minimum of f = x(x −1.5) in the interval (0.0, 1.00) to within 10% of the exact value.

one-dimensional-optimization---unrestricted-method icon one-dimensional-optimization---unrestricted-method

In most practical problems, the optimum solution is known to lie within restricted ranges of the design variables. In some cases this range is not known, and hence the search has to be made with no restrictions on the values of the variables. Although the search with a fixed step size appears to be very simple, its major limitation comes because of the unrestricted nature of the region in which the minimum can lie. The CPP code written is for the following question : Find the minimum of f = x(x −1.5) by starting from 0.0 with an initial step size of 0.05

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