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{ "item_title" : "Computational mathematics in R Programming", "item_author" : [" G. Arockia Sahaya Sheela "], "item_description" : "Computational mathematics in R programming harnesses the power of R's extensive libraries and tools to tackle complex numerical analysis, statistical computations, and data visualization tasks. This versatile programming language is widely adopted in a range of scientific and engineering disciplines for executing matrix operations, optimization techniques, and solving differential equations. Whether applied in data science, physics, economics, or engineering, R provides a robust platform for performing sophisticated mathematical computations, enabling researchers and professionals to analyze data efficiently, model real-world systems, and gain deeper insights from their work. Its user-friendly interface, combined with powerful computational capabilities, makes it an invaluable resource for anyone engaged in computational mathematics.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/6/20/677/435/620677435X_b.jpg", "price_data" : { "retail_price" : "56.00", "online_price" : "56.00", "our_price" : "56.00", "club_price" : "56.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computational mathematics in R Programming|G. Arockia Sahaya Sheela

Computational mathematics in R Programming

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Overview

Computational mathematics in R programming harnesses the power of R's extensive libraries and tools to tackle complex numerical analysis, statistical computations, and data visualization tasks. This versatile programming language is widely adopted in a range of scientific and engineering disciplines for executing matrix operations, optimization techniques, and solving differential equations. Whether applied in data science, physics, economics, or engineering, R provides a robust platform for performing sophisticated mathematical computations, enabling researchers and professionals to analyze data efficiently, model real-world systems, and gain deeper insights from their work. Its user-friendly interface, combined with powerful computational capabilities, makes it an invaluable resource for anyone engaged in computational mathematics.

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Details

  • ISBN-13: 9786206774358
  • ISBN-10: 620677435X
  • Publisher: Scholars' Press
  • Publish Date: September 2024
  • Dimensions: 9 x 6 x 0.13 inches
  • Shipping Weight: 0.21 pounds
  • Page Count: 56

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