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{ "item_title" : "Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems", "item_author" : [" S. Chakraverty "], "item_description" : "For various scientific and engineering problems, how to deal with variables and parameters of uncertain value is an important issue. Full analysis of the specific errors in measurement, observations, experiments, and applications are vital in dealing with the parameters taken to simplify the problem. Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems aims to provide the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis, and applications. This book is an essential reference work for students, scholars, practitioners and researchers in the assorted fields of engineering and applied mathematics interested in a model for uncertain physical problems.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/46/664/991/1466649917_b.jpg", "price_data" : { "retail_price" : "225.00", "online_price" : "225.00", "our_price" : "225.00", "club_price" : "225.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems|S. Chakraverty

Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems

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Overview

For various scientific and engineering problems, how to deal with variables and parameters of uncertain value is an important issue. Full analysis of the specific errors in measurement, observations, experiments, and applications are vital in dealing with the parameters taken to simplify the problem. Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems aims to provide the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis, and applications. This book is an essential reference work for students, scholars, practitioners and researchers in the assorted fields of engineering and applied mathematics interested in a model for uncertain physical problems.

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Details

  • ISBN-13: 9781466649910
  • ISBN-10: 1466649917
  • Publisher: Information Science Reference
  • Publish Date: January 2014
  • Dimensions: 11 x 8.5 x 1 inches
  • Shipping Weight: 2.89 pounds
  • Page Count: 441

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