Optimization in Practice with MATLAB: For Engineering Students and Professionals

Description: Optimization in Practice with MATLAB by Achille Messac Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This textbook is designed for undergraduate and graduate students and practitioners interested in learning optimization. The presentation is enriched with a robust set of real-world examples and practical exercises. Using MATLAB® software is encouraged throughout. The instructor is supported by a complete solutions manual and PowerPoint slides with animations. Publisher Description Optimization in Practice with MATLAB® provides a unique approach to optimization education. It is accessible to both junior and senior undergraduate and graduate students, as well as industry practitioners. It provides a strongly practical perspective that allows the student to be ready to use optimization in the workplace. It covers traditional materials, as well as important topics previously unavailable in optimization books (e.g. numerical essentials - for successful optimization). Written with both the reader and the instructor in mind, Optimization in Practice with MATLAB® provides practical applications of real-world problems using MATLAB®, with a suite of practical examples and exercises that help the students link the theoretical, the analytical, and the computational in each chapter. Additionally, supporting MATLAB® m-files are available for download via c. Lastly, adopting instructors will receive a comprehensive solution manual with solution codes along with lectures in PowerPoint with animations for each chapter, and the texts unique flexibility enables instructors to structure one- or two-semester courses. Author Biography Dr Achille Messac received his B.S., M.S., and Ph.D. from MIT in Aerospace Engineering. Dr Messac is a Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and the American Society of Mechanical Engineers. He has authored or co-authored over 70 journal and 130 conference articles, chaired several international conferences, delivered several keynote addresses, and received the prestigious AIAA Multidisciplinary Design Optimization Award. He has taught or advised undergraduate and graduate students in the areas of design and optimization for over three decades at Rensselaer Polytechnic Institute, MIT, Syracuse University, Mississippi State and Northeastern University. Details ISBN 1107109183 ISBN-13 9781107109186 Title Optimization in Practice with MATLAB Author Achille Messac Format Hardcover Year 2015 Pages 494 Publisher Cambridge University Press GE_Item_ID:92613156; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2024-09-28T06:01:16.000Z

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