menu
{ "item_title" : "Ridge Functions", "item_author" : [" Allan Pinkus "], "item_description" : "Ridge functions are a rich class of simple multivariate functions which have found applications in a variety of areas. These include partial differential equations (where they are sometimes termed 'plane waves'), computerised tomography, projection pursuit in the analysis of large multivariate data sets, the MLP model in neural networks, Waring's problem over linear forms, and approximation theory. Ridge Functions is the first book devoted to studying them as entities in and of themselves. The author describes their central properties and provides a solid theoretical foundation for researchers working in areas such as approximation or data science. He also includes an extensive bibliography and discusses some of the unresolved questions that may set the course for future research in the field.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/10/712/439/1107124395_b.jpg", "price_data" : { "retail_price" : "159.00", "online_price" : "159.00", "our_price" : "159.00", "club_price" : "159.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Ridge Functions|Allan Pinkus

Ridge Functions

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Ridge functions are a rich class of simple multivariate functions which have found applications in a variety of areas. These include partial differential equations (where they are sometimes termed 'plane waves'), computerised tomography, projection pursuit in the analysis of large multivariate data sets, the MLP model in neural networks, Waring's problem over linear forms, and approximation theory. Ridge Functions is the first book devoted to studying them as entities in and of themselves. The author describes their central properties and provides a solid theoretical foundation for researchers working in areas such as approximation or data science. He also includes an extensive bibliography and discusses some of the unresolved questions that may set the course for future research in the field.

This item is Non-Returnable

Details

  • ISBN-13: 9781107124394
  • ISBN-10: 1107124395
  • Publisher: Cambridge University Press
  • Publish Date: August 2015
  • Dimensions: 9 x 6 x 0.56 inches
  • Shipping Weight: 1.02 pounds
  • Page Count: 218

Related Categories

You May Also Like...

    1

BAM Customer Reviews