menu
{ "item_title" : "Kronecker Modeling and Analysis of Multidimensional Markovian Systems", "item_author" : [" Tuğrul Dayar "], "item_description" : "This work considers Kronecker-based models with finite as well as countably infinite state spaces for multidimensional Markovian systems by paying particular attention to those whose reachable state spaces are smaller than their product state spaces. Numerical methods for steady-state and transient analysis of Kronecker-based multidimensional Markovian models are discussed in detail together with implementation issues. Case studies are provided to explain concepts and motivate use of methods.Having grown out of research from the past twenty years, this book expands upon the author's previously published book Analyzing Markov Chains using Kronecker Products (Springer, 2012). The subject matter is interdisciplinary and at the intersection of applied mathematics and computer science. The book will be of use to researchers and graduate students with an understanding of basic linear algebra, probability, and discrete mathematics.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/31/997/128/331997128X_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Kronecker Modeling and Analysis of Multidimensional Markovian Systems|Tuğrul Dayar

Kronecker Modeling and Analysis of Multidimensional Markovian Systems

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

Overview

This work considers Kronecker-based models with finite as well as countably infinite state spaces for multidimensional Markovian systems by paying particular attention to those whose reachable state spaces are smaller than their product state spaces. Numerical methods for steady-state and transient analysis of Kronecker-based multidimensional Markovian models are discussed in detail together with implementation issues. Case studies are provided to explain concepts and motivate use of methods.

Having grown out of research from the past twenty years, this book expands upon the author's previously published book Analyzing Markov Chains using Kronecker Products (Springer, 2012). The subject matter is interdisciplinary and at the intersection of applied mathematics and computer science. The book will be of use to researchers and graduate students with an understanding of basic linear algebra, probability, and discrete mathematics.

This item is Non-Returnable

Details

  • ISBN-13: 9783319971285
  • ISBN-10: 331997128X
  • Publisher: Springer
  • Publish Date: October 2018
  • Dimensions: 9.21 x 6.14 x 0.81 inches
  • Shipping Weight: 1.38 pounds
  • Page Count: 269

Related Categories

You May Also Like...

    1

BAM Customer Reviews