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The present book acquaints the readers with the statistical and computer slanting models comprehensively second-handed in a multiplicity of disciplines of social and engineering sciences. These models and analysis techniques find tremendous applications through their use in facilitating economic evaluation and in a number of decision-making contexts. The present book highlights computational approaches to examine central problems in the fields of mathematical sciences. In the present era, the applications of computational techniques are of great importance to a variety of disciplines. These disciplines are critical in many parts of computer science, including machine learning, scientific computing, computer vision, computational biology, computational finance, natural language processing, and computer graphics.