Go to main content

Home
About GNOM
Members
- UPC Members
- External Collaborators
Scientific production
Projects
Academic activity

Search Site

Advanced Search…

Menú

Search Site

Advanced Search…

Home
About GNOM
Members
- UPC Members
- External Collaborators
Scientific production
Projects
Academic activity
Log in

Group of Numerical Optimization and Modeling. GNOM

Home
PDFs
Journals
Solving the load flow problem using the Gröbner basis

Solving the load flow problem using the Gröbner basis https://gnom.upc.edu/en/PDFs/journals/solving-the-load-flow-problem-using-the-groebner-basis/view https://gnom.upc.edu/++resource++plone-logo.svg

Share:

Solving the load flow problem using the Gröbner basis

sigsamacm1995.pdf

application/pdf

488.9 KB

Download

Navigation

An interior-point approach for primal block-angular problems
Minimum-distance controlled perturbation methods for large-scale tabular data protection
Quadratic interior-point methods in statistical disclosure control
On self-regular IPMS by M. Salahi, R. Sotirov and T. Terlaky
A nonlinear optimization package for long-term hydrothermal coordination
Solving difficult multicommodity problems through a specialized interior-point algorithm
A specialized interior-point algorithm for multicommodity network flows
An interior-point algorithm for quadratic programming through separable equivalent problems
An implementation of a higher-order primal-dual interior-point algorithm using a predictor-corrector method for linear programming
An implementation of linear and nonlinear multicommodity network flows
An implementation of a primal-dual interior-point algorithm with upper-bounded variables
Optimum long-term hydrothermal coordination with fuel limits
Solving the load flow problem using the Gröbner basis
Nonlinear multicommodity network flows through primal partitioning and comparison with alternative methods
e-status: an Automatic Web-Based Problem generator - Applications to Statistics
An Effective Line Search for the Subgradient Method
Unit Commitment by Augmented Lagrangian Relaxation: Testing Two Decomposition Approaches
Short Term Hydrothermal Coordination by Augmented Lagrangean Relaxation: a New Multiplier Updating
Optimum Short-Term Hydrothermal Schedulling with Spinning Reserve through Network Flows
Development and computational test of an undecoupled optimum short-term hydrothermal scheduling code using network flows
A Heuristic for the Long-Term Electricity Generation Planning Problem Using the Bloom and Gallant Formulation
A three-stage short-term electric power planning procedure for a generation company in a liberalized market
CorcheroHeredia_EEM10_IEEEXplore_10.pdf
HerediaRiderCorchero_IEEETPS_10.pdf

Where we are

Contact

Group of Numerical Optimization and Modelling

Campus Diagonal Nord, Building C5. C. Jordi Girona, 1-3 08034 Barcelona

Tel.: 93 401 58 54 (Castro) ; 93 401 70 35 (Nabona)

E-mail: jordi.castro@upc.edu ; narcis.nabona@upc.edu

© UPC Group of Numerical Optimization and Modeling. GNOM.

Powered by
Site Map
Accessibility
Disclaimer
Privacy Settings