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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Modern Numerical Nonlinear Optimization

Modern Numerical Nonlinear Optimization

Andrei, Neculai

Hardcover

Series: Springer Optimization and Its Applications, Book 195

General MathematicsProgramming

ISBN10: 3031087194
ISBN13: 9783031087196
Publisher: Springer Nature
Published: Oct 19 2022
Pages: 807
Weight: 3.67
Height: 1.75 Width: 7.00 Depth: 10.00
Language: English

This book includes a thorough theoretical and computational analysis of unconstrained and constrained optimization algorithms and combines and integrates the most recent techniques and advanced computational linear algebra methods. Nonlinear optimization methods and techniques have reached their maturity and an abundance of optimization algorithms are available for which both the convergence properties and the numerical performances are known. This clear, friendly, and rigorous exposition discusses the theory behind the nonlinear optimization algorithms for understanding their properties and their convergence, enabling the reader to prove the convergence of his/her own algorithms. It covers cases and computational performances of the most known modern nonlinear optimization algorithms that solve collections of unconstrained and constrained optimization test problems with different structures, complexities, as well as those with large-scale real applications.

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