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Modern Numerical Nonlinear Optimization: Theory, Algorithms, and Applications
$20.46
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- Provides a comprehensive overview of modern numerical nonlinear optimization theory, algorithms, and applications.
- Covers a wide range of topics, including unconstrained and constrained optimization, derivative-based and derivative-free methods, and large-scale optimization.
- Includes numerous examples and exercises to illustrate the concepts and algorithms presented.
- Written by a team of leading experts in the field of numerical optimization.
- Suitable for graduate students, researchers, and practitioners in the fields of operations research, computer science, and engineering.
Condition: New original from publisher
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