Optimization Theory for Large Systems (Dover Books on Mathematics),Used

Optimization Theory for Large Systems (Dover Books on Mathematics),Used

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Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures. Much data appear as charts and graphs and will be highly valuable to readers in selecting a method and estimating computer time and cost in problemsolving. Initial chapter on linear and nonlinear programming presents all necessary background for subjects covered in rest of book. Second chapter illustrates how largescale mathematical programs arise from realworld problems. Appendixes. List of Symbols.

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Frequently Asked Questions

  • Q: What topics are covered in 'Optimization Theory for Large Systems'? A: The book covers significant algorithms for optimizing large systems, including both linear and nonlinear programming, as well as real-world applications of large-scale mathematical programs.
  • Q: Who is the author of this book? A: The book is authored by Leon S. Lasdon.
  • Q: How many pages does the book have? A: The book contains 560 pages.
  • Q: What is the condition of this book? A: The book is brand new.
  • Q: What type of binding does this book have? A: This book is available in paperback binding.
  • Q: When was 'Optimization Theory for Large Systems' published? A: The book was published on December 28, 2011.
  • Q: Does the book include any charts or graphs? A: Yes, the book includes charts and graphs that illustrate key data and concepts, aiding in the understanding of optimization methods.
  • Q: Is this book suitable for beginners in optimization theory? A: Yes, the initial chapters provide necessary background information, making it accessible for beginners.
  • Q: Are there appendices included in this book? A: Yes, the book includes appendices that provide additional information and a list of symbols used throughout the text.
  • Q: What is the main focus of the book? A: The main focus of the book is to clarify the relationships between different optimization procedures and provide a comprehensive examination of algorithms for large systems.