Exploring complexity of large update interior-point methods for \(P_*(\kappa )\) linear complementarity problem based on kernel function
DOI10.1016/j.amc.2008.11.002zbMath1160.90009OpenAlexW1979795234MaRDI QIDQ1002309
M. Reza Peyghami, Keyvan Amini
Publication date: 25 February 2009
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2008.11.002
algorithmnumerical exampleslinear complementarity problemkernel functionpolynomial complexityproximity functionprimal-dual interior-point methodlarge updates method
Numerical mathematical programming methods (65K05) Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33) Interior-point methods (90C51)
Related Items (9)
Cites Work
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- A new polynomial-time algorithm for linear programming
- A self-adjusting interior point algorithm for linear complementarity problems
- An interior-point algorithm for linear optimization based on a new kernel function
- A new large-update interior point algorithm for \(P_{*}(\kappa)\) LCPs based on kernel functions
- Test examples for nonlinear programming codes
- A unified approach to interior point algorithms for linear complementarity problems: A summary
- Log-barrier method for two-stage quadratic stochastic programming
- A new class of polynomial primal-dual methods for linear and semidefinite optimization
- Self-regular functions and new search directions for linear and semidefinite optimization
- Analysis of infeasible-interior-point paths arising with semidefinite linear complementarity problems
- Complexity of large-update interior point algorithm for \(P_{*}(\kappa )\) linear complementarity problems
- Primal-dual interior-point algorithms for second-order cone optimization based on a new parametric kernel function
- A new large-update interior point algorithm for \(P_*(\kappa )\) linear complementarity problems
- A New Efficient Large-Update Primal-Dual Interior-Point Method Based on a Finite Barrier
- A polynomial-time algorithm for linear optimization based on a new simple kernel function
- A Comparative Study of Kernel Functions for Primal-Dual Interior-Point Algorithms in Linear Optimization
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