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  • Basic Optimization Theory and Gradient-Based Algorithms
    Jan A Snyman; Daniel N Wilke
    978-3-319-77586-9
    2018
    Edition 2
    • Guides readers to understand processes and strategies in real world optimization problems
    • Contains new material on gradient-based methods, algorithm implementation via Python, and basic optimization principles
    • Covers fundamental optimization concepts and definitions, search techniques for unconstrained minimization and standard methods for constrained optimization
    • Includes example problems and exercises

    €419

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