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Books > Computing & IT > General theory of computing > Data structures
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Solving Nonlinear Equations with Iterative Methods - Solvers and Examples in Julia (Paperback)
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Solving Nonlinear Equations with Iterative Methods - Solvers and Examples in Julia (Paperback)
Series: Fundamentals of Algorithms
Expected to ship within 12 - 19 working days
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This user-oriented guide describes state-of-the-art methods for
nonlinear equations and shows, via algorithms in pseudocode and
Julia with several examples, how to choose an appropriate iterative
method for a given problem and write an efficient solver or apply
one written by others. A sequel to the author's Solving Nonlinear
Equations with Newton's Methods (SIAM, 2003), this book contains
new material on pseudo-transient continuation, mixed-precision
solvers, and Anderson acceleration. It is supported by a Julia
package and a suite of Jupyter notebooks and includes examples of
nonlinear problems from many disciplines. This book is will be
useful to researchers who solve nonlinear equations, students in
numerical analysis, and the Julia community.
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