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Looking for a Study Partner to Read "An Introduction to Optimization" by Chong and Żak
13th July, 2024
Last date to join: 15th August, 2024
Hi everyone, I'm looking for a study partner to read and discuss the book "An Introduction to Optimization" by Edwin K. P. Chong and Stanislaw H. Żak. I believe having someone to discuss the concepts and problems with would enhance the learning experience and help us both understand the material more deeply. A bit about me: I have a keen interest in optimization and mathematical modeling. I am dedicated and can commit to regular study sessions. What I’m looking for: Someone who is also interested in optimization. A commitment to regular, scheduled study sessions (we can decide on the frequency and timing together). Willingness to actively participate in discussions and problem-solving. We can use platforms like Google Meet, Zoom, Discord, or any other preferred method for our sessions. If you're interested, please comment below or send me a message so we can discuss further and set up our first session! Looking forward to learning together! Thanks
Advanced-beginner
English
Description
Praise for the Third Edition ". . . guides and leads the reader through the learning path . . . [e]xamples are stated very clearly and the results are presented with attention to detail." —MAA Reviews Fully updated to reflect new developments in the field, the Fourth Edition of Introduction to Optimization fills the need for accessible treatment of optimization theory and methods with an emphasis on engineering design. Basic definitions and notations are provided in addition to the related fundamental background for linear algebra, geometry, and calculus. This new edition explores the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. The authors also present an optimization perspective on global search methods and include discussions on genetic algorithms, particle swarm optimization, and the simulated annealing algorithm. Featuring an elementary introduction to artificial neural networks, convex optimization, and multi-objective optimization, the Fourth Edition also offers: A new chapter on integer programming Expanded coverage of one-dimensional methods Updated and expanded sections on linear matrix inequalities Numerous new exercises at the end of each chapter MATLAB exercises and drill problems to reinforce the discussed theory and algorithms Numerous diagrams and figures that complement the written presentation of key concepts MATLAB M-files for implementation of the discussed theory and algorithms (available via the book's website) Introduction to Optimization, Fourth Edition is an ideal textbook for courses on optimization theory and methods. In addition, the book is a useful reference for professionals in mathematics, operations research, electrical engineering, economics, statistics, and business.
An Introduction to Optimization, 4th Edition
Books 
Wiley
Exclusively Paid 
13h 3m 
No Certificate 
640 pages Get notified about new study groups every week!
Looking for a Study Partner to Read "An Introduction to Optimization" by Chong and Żak
13th July, 2024
Last date to join: 15th August, 2024
Affiliate notice
Hi everyone, I'm looking for a study partner to read and discuss the book "An Introduction to Optimization" by Edwin K. P. Chong and Stanislaw H. Żak. I believe having someone to discuss the concepts and problems with would enhance the learning experience and help us both understand the material more deeply. A bit about me: I have a keen interest in optimization and mathematical modeling. I am dedicated and can commit to regular study sessions. What I’m looking for: Someone who is also interested in optimization. A commitment to regular, scheduled study sessions (we can decide on the frequency and timing together). Willingness to actively participate in discussions and problem-solving. We can use platforms like Google Meet, Zoom, Discord, or any other preferred method for our sessions. If you're interested, please comment below or send me a message so we can discuss further and set up our first session! Looking forward to learning together! Thanks
Advanced-beginner
English
-
TypeBooks
-
ProviderWiley
-
PricingExclusively Paid
-
Duration13h 3m
-
CertificateNo Certificate
-
Pages640 pages
Praise for the Third Edition ". . . guides and leads the reader through the learning path . . . [e]xamples are stated very clearly and the results are presented with attention to detail." —MAA Reviews
Fully updated to reflect new developments in the field, the Fourth Edition of Introduction to Optimization fills the need for accessible treatment of optimization theory and methods with an emphasis on engineering design. Basic definitions and notations are provided in addition to the related fundamental background for linear algebra, geometry, and calculus.
This new edition explores the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. The authors also present an optimization perspective on global search methods and include discussions on genetic algorithms, particle swarm optimization, and the simulated annealing algorithm. Featuring an elementary introduction to artificial neural networks, convex optimization, and multi-objective optimization, the Fourth Edition also offers:
A new chapter on integer programming
Expanded coverage of one-dimensional methods
Updated and expanded sections on linear matrix inequalities
Numerous new exercises at the end of each chapter
MATLAB exercises and drill problems to reinforce the discussed theory and algorithms
Numerous diagrams and figures that complement the written presentation of key concepts
MATLAB M-files for implementation of the discussed theory and algorithms (available via the book's website)
Introduction to Optimization, Fourth Edition is an ideal textbook for courses on optimization theory and methods. In addition, the book is a useful reference for professionals in mathematics, operations research, electrical engineering, economics, statistics, and business.
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15th August, 2024
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