Conjugate gradient methods
Conjugate gradient methods is a book subject. It includes 8 books, written by 7 different authors.
Key facts
- number of authors: 7 people
- number of books: 8
- books: A Marquardt algorithm for choosing the step-size in backpropagation learning with conjugate gradients, Conditional Monte Carlo : gradient estimation and optimization applications, Conjugate gradient algorithms in nonconvex optimization
- authors: Peter M. Williams, Michael Fu, Radoslaw Pytlak
- publication dates: 1991, 1997, 2009
- book publishers: University of Sussex, School of Cognitive & Computing Sciences, Kluwer Academic Publishers, : Springer
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"Conjugate gradient methods" is one of the 293,135 book subjects in our database.
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This dashboard is based on data from: The British Library.
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