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Ioannis K. Argyros has written 4 work(s)
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Cover for 9783319336053 Cover for 9783319267203 Cover for 9781578087532 Cover for 9780444531629
cover image for 9783319336053
Product Description: In this short monograph Newton-like and other similar numerical methods with applications to solving multivariate equations are developed, which involve Caputo type fractional mixed partial derivatives and multivariate fractional Riemann-Liouville integral operators...read more

Hardcover:

9783319336053 | Springer-Verlag New York Inc, May 29, 2016, cover price $99.00 | About this edition: In this short monograph Newton-like and other similar numerical methods with applications to solving multivariate equations are developed, which involve Caputo type fractional mixed partial derivatives and multivariate fractional Riemann-Liouville integral operators.

cover image for 9783319267203
Product Description: In this monograph the authors present Newton-type, Newton-like and other numerical methods, which involve fractional derivatives and fractional integral operators, for the first time studied in the literature. All for the purpose to solve numerically equations whose associated functions can be also non-differentiable in the ordinary sense...read more

Hardcover:

9783319267203 | Springer-Verlag New York Inc, December 15, 2015, cover price $179.00 | About this edition: In this monograph the authors present Newton-type, Newton-like and other numerical methods, which involve fractional derivatives and fractional integral operators, for the first time studied in the literature.

cover image for 9780444531629
Product Description: The book is designed for researchers, students and practitioners interested in using fast and efficient iterative methods to approximate solutions of nonlinear equations. The following four major problems are addressed. Problem 1: Show that the iterates are well defined...read more

Hardcover:

9780444531629 | Elsevier Science Ltd, October 12, 2007, cover price $260.00 | About this edition: The book is designed for researchers, students and practitioners interested in using fast and efficient iterative methods to approximate solutions of nonlinear equations.

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