Pages that link to "Item:Q1596888"
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The following pages link to A neural network for the linear complementarity problem (Q1596888):
Displaying 17 items.
- A practical nonlinear dynamic framework for solving a class of fractional programming problems (Q330727) (← links)
- Modeling and algorithm on a class of mechanical systems with unilateral constraints (Q1020241) (← links)
- A review of combinatorial problems arising in feedforward neural network design (Q1331904) (← links)
- Neural network based on systematically generated smoothing functions for absolute value equation (Q2008074) (← links)
- On the equivalence between some projected and modulus-based splitting methods for linear complementarity problems (Q2009765) (← links)
- A generalization of irreducibility and diagonal dominance with applications to horizontal and vertical linear complementarity problems (Q2020709) (← links)
- Global uniqueness and solvability of tensor complementarity problems for \(\mathcal{H}_+\)-tensors (Q2181671) (← links)
- A neural network based on the generalized Fischer-Burmeister function for nonlinear complementarity problems (Q2269819) (← links)
- (Q4415754) (← links)
- Modified gradient dynamic approach to the tensor complementarity problem (Q5210745) (← links)
- Un modelo de redes neuronales para complementariedad no lineal (Q5267725) (← links)
- (Q5453012) (← links)
- Solving nonlinear complementarity problems with neural networks: A reformulation method approach (Q5939878) (← links)
- On the new modulus-based matrix splitting method for linear complementarity problem of \(H_+\)-matrix (Q6164961) (← links)
- A smoothing Newton method based on the modulus equation for a class of weakly nonlinear complementarity problems (Q6166658) (← links)
- A dynamic model to solve weighted linear complementarity problems (Q6175367) (← links)
- A Neural Network Approach for Solving Weighted Nonlinear Complementarity Problems (Q6633873) (← links)