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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

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Pagine
528pagine
Tempo di lettura
19ore

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The book explores two distinct methodologies for problem-solving, offering insights into their applications and effectiveness. It delves into the theoretical underpinnings of each approach, providing practical examples and case studies to illustrate their strengths and weaknesses. Readers will gain a deeper understanding of how to apply these strategies in various contexts, enhancing their critical thinking and decision-making skills. The work serves as a valuable resource for students and professionals seeking to improve their analytical capabilities.

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization, Neculai Andrei

Lingua
Pubblicato
2021
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