Sequential Quadratic Programming
GPTKB entity
Statements (30)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
mathematical optimization
|
| gptkbp:abbreviation |
gptkb:SQP
|
| gptkbp:approach |
iterative
|
| gptkbp:canBe |
equality constraints
inequality constraints |
| gptkbp:citation |
Gill, Murray, Saunders - Practical Optimization
Nocedal, Wright - Numerical Optimization |
| gptkbp:developedBy |
1970s
|
| https://www.w3.org/2000/01/rdf-schema#label |
Sequential Quadratic Programming
|
| gptkbp:implementedIn |
gptkb:C++
gptkb:MATLAB gptkb:Python_(SciPy) |
| gptkbp:method |
gradient-based
|
| gptkbp:relatedTo |
gptkb:Karush-Kuhn-Tucker_conditions
gptkb:Lagrange_multipliers quadratic programming |
| gptkbp:requires |
objective function gradient
constraint gradients |
| gptkbp:solvedBy |
nonlinear programming problems
|
| gptkbp:step |
check convergence
solve quadratic subproblem update variables |
| gptkbp:usedFor |
constrained optimization
nonlinear optimization |
| gptkbp:usedIn |
gptkb:machine_learning
control theory operations research engineering design |
| gptkbp:bfsParent |
gptkb:Nonlinear_Programming
|
| gptkbp:bfsLayer |
6
|