Statements (39)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic
|
| gptkbp:characteristic |
global minimum is unique
local minimum is global minimum |
| gptkbp:fieldOfStudy |
gptkb:mathematics
operations research optimization |
| gptkbp:focusesOn |
convex sets
maximizing convex functions minimizing convex functions |
| gptkbp:hasApplication |
gptkb:machine_learning
gptkb:signal_processing control theory engineering finance statistics |
| gptkbp:hasProperty |
efficient algorithms exist for many problems
well-understood theory widely used in practice |
| https://www.w3.org/2000/01/rdf-schema#label |
Convex Optimization
|
| gptkbp:notableBook |
Convex Optimization (Boyd and Vandenberghe)
|
| gptkbp:notableContributor |
gptkb:Lieven_Vandenberghe
gptkb:Stephen_Boyd |
| gptkbp:relatedConcept |
gptkb:Lagrange_multipliers
gradient descent convex analysis linear programming duality quadratic programming semidefinite programming interior-point methods subgradient methods |
| gptkbp:studiedIn |
engineering courses
graduate mathematics computer science courses |
| gptkbp:uses |
convex sets
convex functions optimization algorithms |
| gptkbp:bfsParent |
gptkb:mathematical_optimization
|
| gptkbp:bfsLayer |
5
|