applications"
http://www.scirp.org/book/DetailedInforOfABook.aspx?bookID=486&bookTypeID=2
The aim of this book is to provide an overview of classic as well as
new research results on optimization problems and algorithms. Beside
the theoretical basis, the book contains a number of chapters
describing the application of the theory in practice, that is, reports
on successfully solving real-world engineering challenges by means of
optimization algorithms. These case studies are collected from a wide
range of application domains within computer engineering. The
diversity of the presented approaches offers a number of practical
tips and insights into the practical application of optimization
algorithms, highlighting real-world challenges and solutions.
Researchers, practitioners and graduate students will find the book
equally useful.
Contents:
Chapter 1: Introduction
Part I - Theory
Chapter 2: Fundamentals of Optimization Algorithms
Chapter 3: Some Common Combinatorial Problems and Algorithms
Chapter 4: Recent Advances in Typical-Case Complexity
Chapter 5: Metric-Based Approximation Algorithms for Graph Cut Problems
Part II - Applications
Chapter 6: Optimization Issues on the Motion Planning of
Kinematically Redundant Manipulators
Chapter 7: Suboptimal Robot Team Coordination
Chapter 8: Applying Graph Coloring to Frequency Assignment
Chapter 9: Routing in the 3-Dimensional Grid
Chapter 10: Total Variation Regularization in Maximum Likelihood Estimation
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