Read Anywhere and on Any Device!

Special Offer | $0.00

Join Today And Start a 30-Day Free Trial and Get Exclusive Member Benefits to Access Millions Books for Free!

Read Anywhere and on Any Device!

  • Download on iOS
  • Download on Android
  • Download on iOS

Computational Complexity and Feasibility of Data Processing and Interval Computations (Applied Optimization, 10)

Unknown Author
4.9/5 (26930 ratings)
Description:The input data for data processing algorithms come from measurements and are hence not precise. We therefore need to estimate the accuracy of the results of data processing. It turns out that even for the simplest data processing algorithms, this problem is, in general, intractable. This book describes for what classes of problems interval computations (i.e. data processing with automatic results verification) are feasible, and when they are intractable. This knowledge is important, e.g. for algorithm developers, because it will enable them to concentrate on the classes of problems for which general algorithms are possible.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Computational Complexity and Feasibility of Data Processing and Interval Computations (Applied Optimization, 10). To get started finding Computational Complexity and Feasibility of Data Processing and Interval Computations (Applied Optimization, 10), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0792348656

Computational Complexity and Feasibility of Data Processing and Interval Computations (Applied Optimization, 10)

Unknown Author
4.4/5 (1290744 ratings)
Description: The input data for data processing algorithms come from measurements and are hence not precise. We therefore need to estimate the accuracy of the results of data processing. It turns out that even for the simplest data processing algorithms, this problem is, in general, intractable. This book describes for what classes of problems interval computations (i.e. data processing with automatic results verification) are feasible, and when they are intractable. This knowledge is important, e.g. for algorithm developers, because it will enable them to concentrate on the classes of problems for which general algorithms are possible.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Computational Complexity and Feasibility of Data Processing and Interval Computations (Applied Optimization, 10). To get started finding Computational Complexity and Feasibility of Data Processing and Interval Computations (Applied Optimization, 10), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0792348656
loader