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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization - Andrei, Neculai
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Two approaches are known for solving large-scale unconstrained optimization problems-the limited-memory quasi-Newton method (truncated Newton method) and the conjugate gradient method. This is the first book to detail conjugate gradient methods, showing their properties and convergence characteristics as well as their performance in solving large-scale unconstrained optimization problems and applications. Comparisons to the limited-memory and truncated Newton methods are also discussed. Topics studied in detail include: ...

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization 2021, Springer, Cham

ISBN-13: 9783030429522

2020 edition

Trade paperback

Nonlinear Conjugate Gradient Methods for Unconstrained Optimization 2020, Springer, Cham

ISBN-13: 9783030429492

2020 edition

Hardcover