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{ "item_title" : "Simulation and Optimization in Process Engineering", "item_author" : [" Michael Bortz", "Norbert Asprion "], "item_description" : "Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Process Industry brings together examples where the successful transfer of progress made in mathematical simulation and optimization has led to innovations in an industrial context that created substantial benefit. Containing introductory accounts on scientific progress in the most relevant topics of process engineering (substance properties, simulation, optimization, optimal control and real time optimization), the examples included illustrate how such scientific progress has been transferred to innovations that delivered a measurable impact, covering details of the methods used, and more. With each chapter bringing together expertise from academia and industry, this book is the first of its kind, providing demonstratable insights.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/32/385/043/032385043X_b.jpg", "price_data" : { "retail_price" : "175.00", "online_price" : "175.00", "our_price" : "175.00", "club_price" : "175.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Simulation and Optimization in Process Engineering|Michael Bortz

Simulation and Optimization in Process Engineering : The Benefit of Mathematical Methods in Applications of the Chemical Industry

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Overview

Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Process Industry brings together examples where the successful transfer of progress made in mathematical simulation and optimization has led to innovations in an industrial context that created substantial benefit. Containing introductory accounts on scientific progress in the most relevant topics of process engineering (substance properties, simulation, optimization, optimal control and real time optimization), the examples included illustrate how such scientific progress has been transferred to innovations that delivered a measurable impact, covering details of the methods used, and more.

With each chapter bringing together expertise from academia and industry, this book is the first of its kind, providing demonstratable insights.

This item is Non-Returnable

Details

  • ISBN-13: 9780323850438
  • ISBN-10: 032385043X
  • Publisher: Elsevier
  • Publish Date: April 2022
  • Dimensions: 9 x 6 x 0.87 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 428

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