| Introduction to Fusion (source) |
|
Python, Fusion |
|
| Least squares regression (source) |
CQO |
Python, Fusion |
regression, LSE, regularization, lasso, ridge, Huber penalty |
| Linear regression techniques (source) |
CQO, POW |
Python, Fusion |
regression, 2-norm, 1-norm, deadzone, p-norm, Czebyshew |
| Rank-one convexification for sparse regression (source) |
CQO, DJC |
Python, Fusion |
regression, sparsification, 0-norm, disjunctive constraints, regularization |
| Hierarchical model (source) |
LO, MILO |
Python, Fusion |
multiobjective, scheduling, parametrization |
| Max Volume Cuboid (source) |
POW, GEO |
Python, Fusion |
geometric mean, volume maximization, ACC, polyhedra |
| MLE convex density function (source) |
EXP, POW |
Python, Fusion |
MLE, density function |
| GP Toolbox (source) |
GP, EXP |
Python, Fusion |
geometric program, modelling extension |
| Stochastic risk measures (source) |
LO, EXP, POW |
Python, Fusion |
portfolio, risk measures, value-at-risk, VaR, CVaR |
| Irreducible Infeasible Subset (IIS) (source) |
LO, MILO |
Python |
IIS, infeasibility, certificate, irreducible set, deletion filter |
| Unit commitment (source) |
MICQO |
Python, Fusion |
unit commitment, production planning |
| SINR Optimization (source) |
GP, EXP |
Python, Fusion |
geometric program, log-sum-exp, signal-to-noise, interference |
| Filter design (source) |
SDO |
Python, Fusion |
trigonometric polynomials, Czebyshev lowpass filter |
| K-means and Euclidean Clustering (source) |
CQO, MIO, DJC |
Python, Fusion |
clustering, k-means, disjunctive constraints |
| Binary quadratic problems (source) |
QP, SDP |
Python, Fusion |
SDP relaxation, branch and bound, binary QP |
| Subcarrier and power allocation (source) |
MIO, EXP |
Python, Fusion |
power allocation, data rate, channel allocation, F-SPARC |
| Geometric facility location (source) |
MICQO |
Python, Fusion |
planar coverage, wireless network design |
| Smallest enclosing ellipsoid (source) |
CQO |
Python, Fusion |
geometry, dualization |
| Truss topology design (source) |
CQO |
Python, Fusion |
structural engineering, truss, equilibrium, stiffness |
| Optimization of cycles on surfaces (source) |
LO |
Python, Fusion |
geometry, topology, triangulation |
| Equilibrium of masses with springs (source) |
CQO |
Python, Fusion |
mechanical equilibrium, potential energy |
| Exact planar cover (source) |
MIO |
Python |
combinatorial, binary variables, certificate |
| Approximating uncertain inequalities (source) |
EXP |
Python, Fusion |
adjustable robust, approximation, safe region |
| Wasserstein barycenter (source) |
LO |
Fusion, CVXPY, Pyomo |
Wasserstein distance, averaging, barycenter |
| Wasserstein barycenter with regularization (source) |
EXP |
Fusion, CVXPY |
Wasserstein distance, entropy, barycenter, regularization |
| Wasserstein barycenter (Julia) (source) |
LO |
Julia, JuMP |
Wasserstein distance, averaging, barycenter |
| Wasserstein barycenter with regularization (Julia) (source) |
EXP |
Julia, JuMP |
Wasserstein distance, entropy, barycenter, regularization |
| Utility based option pricing (source) |
CQO, EXP, POW |
Python, Fusion |
stochastic process, reservation price, portfolio, option pricing, HARA utility |
| Piecewise linear approximation of a convex function (source) |
CQO |
Python, Fusion |
approximation, regression, least squares, convex fitting, piecewise linear |
| Distributionally robust portfolio (source) |
LO |
Python, Fusion |
stochastic optimization, robust optimization, portfolio, Wasserstein metric |
