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Numerical solution of nonlinear elliptic partial differential equations by a generalized conjugate gradient method
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Generalized Conjugate Gradient Method for Nonsymmetric Systems of Linear Equations
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A conjugate direction algorithm without line searches
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Restart procedures for the conjugate gradient method
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A conjugate gradient approach to nonlinear elliptic boundary value problems in irregular regions
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A GENERALIZED CONJUGATE GRADIENT METHOD FOR THE NUMERICAL SOLUTION OF ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS
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Finite-Difference Methods for Partial Differential Equations
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Finite-Difference Methods for Partial Differential Equations
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Methods in Computational Physics
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Numerical Solution of the Minimal Surface Equation
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On Fourier-Toeplitz Methods for Separable Elliptic Problems
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An iterative solution method for linear systems of which the coefficient matrix is a symmetric 𝑀-matrix
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Function minimization by conjugate gradients
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Conjugate Gradient Algorithms: Quadratic Termination without Linear Searches
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Partial conjugate gradient methods for a class of optimal control problems
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The Conjugate Gradient Method for Linear and Nonlinear Operator Equations
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Relaxation Methods for Convex Problems
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On Direct Methods for Solving Poisson’s Equations
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Iterative Solution of Nonlinear Equations in Several Variables
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Efficient FORTRAN subprograms for the solution of elliptic partial differential equations.
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Nonlinear Programming: A Unified Approach
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Iterative Solution of Nonlinear Equations in Several Variables
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Large Sparse Sets of Linear Equations
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Finite-Difference Methods for Partial Differential Equations.
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Nonlinear Programming: A Unified Approach.
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On preconditioning and convergence acceleration in sparse matrix problems
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Methods of conjugate gradients for solving linear systems
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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