Newton's method and secant methods: a longstanding relationship from vectors to matrices
DOI10.4171/PM/1901zbMath1248.65051OpenAlexW1981217254MaRDI QIDQ658578
Marcos Raydan, Marlliny Monsalve
Publication date: 13 January 2012
Published in: Portugaliae Mathematica. Nova Série (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.4171/pm/1901
Newton's methodRiccati equationsecant methodquadratic equationmatrix exponentialmatrix inversereview papermatrix logarithmmatrix \(p\)-th rootmatrix rational equationnonlinear matrix problemssign of a matrix
Newton-type methods (49M15) Numerical computation of solutions to systems of equations (65H10) Methods of quasi-Newton type (90C53) Nonlinear differential equations in abstract spaces (34G20) Matrix equations and identities (15A24) Matrix exponential and similar functions of matrices (15A16)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Schur method for the square root of a matrix
- Solving stable generalized Lyapunov equations with the matrix sign function
- Generalized Lyapunov equation and factorization of matrix polynomials
- Globally convergent inexact quasi-Newton methods for solving nonlinear systems
- A classification of quasi-Newton methods
- Algorithms for the matrix \(p\)th root
- Newton's method and boundary value problems
- A Globally Convergent Newton-GMRES Subspace Method for Systems of Nonlinear Equations
- Rayleigh Quotient Iteration for Nonsymmetric Matrices
- Convergence and Applications of Newton-type Iterations
- Numerical solution of large‐scale Lyapunov equations, Riccati equations, and linear‐quadratic optimal control problems
- A Fast Newton's Method for a Nonsymmetric Algebraic Riccati Equation
- On the Local Convergence of Quasi-Newton Methods for Constrained Optimization
- An exact line search method for solving generalized continuous-time algebraic Riccati equations
- Cubically Convergent Iterations for Invariant Subspace Computation
- A Practical Algorithm for General Large Scale Nonlinear Optimization Problems
- Algorithm 432 [C2: Solution of the matrix equation AX + XB = C [F4]]
- Numerical Methods for Structured Markov Chains
- Approximation of Large-Scale Dynamical Systems
This page was built for publication: Newton's method and secant methods: a longstanding relationship from vectors to matrices