kul-optec Goto Github PK
Name: OPTEC
Type: Organization
Bio: KU Leuven Center of Excellence: Optimization in Engineering
OPTEC's Projects
abstractoperators.jl
Abstract operators for large scale optimization in Julia
alpaqa
Library for nonconvex constrained optimization using the augmented Lagrangian method and the matrix-free PANOC algorithm.
c_fbe_algos
A minimalistic implementation of the panoc algorithm.
c_proximal_functions
library of functions with the proximal function in C.
ciaoalgorithms.jl
Coordinate and Incremental Aggregated Optimization Algorithms
dc_dc_simulator
Simulator for DC-DC power converters
drn
Newton-type Douglas-Rachford splitting method and ADMM for structured nonconvex optimization
forbes
Generic and efficient MATLAB solver for nonsmooth optimization problems
ladel
Quasidefinite LDL factorization package with (symmetric) row/column adds and deletes
libforbes
libForBES is a C++ solver for generic, constrained and possibly nonsmooth convex optimization problems. LASSO, optimal control, elastic net, SVM and many more can now be solved with a single efficient solver!
nama-experiments
nmpc-codegen
C Code generation for NMPC
nmpc-codegen-matlab
nmpc-codegen-python
Python version of nmpc-codegen
panoc
Fast solver for nonlinear model predictive control
panoc-gauss-newton-ifac-experiments
panoc.jl
Newton-type accelerated proximal gradient method in Julia
pantr-cdc2023-experiments
PANTR: A proximal algorithm with regularized Newton updates for nonconvex constrained optimization
qpalm
Proximal Augmented Lagrangian method for Quadratic Programs
qpalm.jl
Julia interface to the QPALM QP solver
risk-averse
Modeling framework for risk-constrained risk-averse optimal control problems (MATLAB toolbox)
spock.jl
A proximal solver for the solution of multistage risk-averse optimal control problems
superscs
Fast conic optimization in C
web
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