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{ "item_title" : "Hybrid High-Order Methods", "item_author" : [" Matteo Cicuttin", "Alexandre Ern", "Nicolas Pignet "], "item_description" : "This book provides a comprehensive coverage of hybrid high-order methods for computational mechanics. The first three chapters offer a gentle introduction to the method and its mathematical foundations for the diffusion problem. The next four chapters address applications of increasing complexity in the field of computational mechanics: linear elasticity, hyperelasticity, wave propagation, contact, friction, and plasticity. The last chapter provides an overview of the main implementation aspects including some examples of Matlab code. The book is primarily intended for graduate students, researchers, and engineers working in related fields of application, and it can also be used as a support for graduate and doctoral lectures.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/081/476/3030814769_b.jpg", "price_data" : { "retail_price" : "64.99", "online_price" : "64.99", "our_price" : "64.99", "club_price" : "64.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Hybrid High-Order Methods|Matteo Cicuttin

Hybrid High-Order Methods : A Primer with Applications to Solid Mechanics

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Overview


This book provides a comprehensive coverage of hybrid high-order methods for computational mechanics.
The first three chapters offer a gentle introduction to the method and its mathematical foundations for the diffusion problem. The next four chapters address applications of increasing complexity in the field of computational mechanics: linear elasticity, hyperelasticity, wave propagation, contact, friction, and plasticity. The last chapter provides an overview of the main implementation aspects including some examples of Matlab code.
The book is primarily intended for graduate students, researchers, and engineers working in related fields of application, and it can also be used as a support for graduate and doctoral lectures.

This item is Non-Returnable

Details

  • ISBN-13: 9783030814762
  • ISBN-10: 3030814769
  • Publisher: Springer
  • Publish Date: November 2021
  • Dimensions: 9.21 x 6.14 x 0.31 inches
  • Shipping Weight: 0.47 pounds
  • Page Count: 136

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