Convex Optimization
E451067
Convex Optimization is a widely used graduate-level textbook that systematically develops the theory, algorithms, and applications of convex optimization problems in engineering, statistics, and applied mathematics.
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
graduate-level textbook
ⓘ
textbook ⓘ |
| applicationArea |
circuit design
ⓘ
communications engineering ⓘ control systems ⓘ finance ⓘ machine learning ⓘ signal processing ⓘ statistics ⓘ |
| author |
Lieven Vandenberghe
NERFINISHED
ⓘ
Stephen Boyd NERFINISHED ⓘ |
| emphasis |
modeling of optimization problems
ⓘ
practical algorithms ⓘ |
| field |
applied mathematics
ⓘ
convex optimization ⓘ engineering ⓘ optimization ⓘ statistics ⓘ |
| hasOnlineResources | yes ⓘ |
| language | English ⓘ |
| level | graduate ⓘ |
| notableFor |
influence in engineering and applied mathematics education
ⓘ
systematic treatment of convex optimization ⓘ |
| publisher | Cambridge University Press NERFINISHED ⓘ |
| structure |
algorithms
ⓘ
applications ⓘ theory ⓘ |
| topic |
Karush–Kuhn–Tucker conditions
NERFINISHED
ⓘ
Lagrange duality NERFINISHED ⓘ cone programming ⓘ convex functions ⓘ convex optimization problems ⓘ convex sets ⓘ duality theory ⓘ ellipsoid method ⓘ geometric programming ⓘ gradient methods ⓘ interior-point methods ⓘ least-squares problems ⓘ linear programming ⓘ proximal methods ⓘ quadratic programming ⓘ semidefinite programming ⓘ subgradient methods ⓘ |
| usedAs | university course textbook ⓘ |
Referenced by (1)
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