A simultaneous iterative method for computing projections on polyhedra
SIAM Journal on Control and Optimization
On some optimization techniques in image reconstruction from projections
Applied Numerical Mathematics - Applications of optimization
A successive projection method
Mathematical Programming: Series A and B
Eigenvalues and condition numbers of random matrices
SIAM Journal on Matrix Analysis and Applications
On the convergence of Han's method for convex programming with quadratic objective
Mathematical Programming: Series A and B
The Multifrontal Solution of Indefinite Sparse Symmetric Linear
ACM Transactions on Mathematical Software (TOMS)
Parallel Optimization: Theory, Algorithms and Applications
Parallel Optimization: Theory, Algorithms and Applications
A Convergence Analysis of Dykstra's Algorithm for Polyhedral Sets
SIAM Journal on Numerical Analysis
GALAHAD, a library of thread-safe Fortran 90 packages for large-scale nonlinear optimization
ACM Transactions on Mathematical Software (TOMS)
CUTEr and SifDec: A constrained and unconstrained testing environment, revisited
ACM Transactions on Mathematical Software (TOMS)
MA57---a code for the solution of sparse symmetric definite and indefinite systems
ACM Transactions on Mathematical Software (TOMS)
How good are extrapolated bi-projection methods for linear feasibility problems?
Computational Optimization and Applications
Computational Optimization and Applications
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We consider simple projection methods for solving convex feasibility problems. Both successive and sequential methods are considered, and heuristics to improve these are suggested. Unfortunately, particularly given the large literature which might make one think otherwise, numerical tests indicate that in general none of the variants considered are especially effective or competitive with more sophisticated alternatives.