File:Max paraboloid.svg
From HandWiki

Size of this PNG preview of this SVG file: 525 × 420 pixels. Other resolution: 394 × 315 pixels.
Original file (SVG file, nominally 700 × 560 pixels, file size: 263 KB)
Summary
Submitted to commons.wikimedia.org
Licensing
This file is licensed under the Attribution-Share Alike 3.0 Unported (CC BY-SA 3.0) license. You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 13:32, 7 October 2025 | ![]() | 700 × 560 (263 KB) | Maintenance script (talk | contribs) | == Summary == Submitted to commons.wikimedia.org == Licensing == {{CC BY-SA 3.0}} |
You cannot overwrite this file.
File usage
The following file is a duplicate of this file (more details):
- File:Max paraboloid.svg from a shared repository
The following 100 pages use this file:
- Affine scaling
- Ant colony optimization algorithms
- Artificial bee colony algorithm
- Augmented Lagrangian method
- BOBYQA
- Barrier function
- Bat algorithm
- Bayesian optimization
- Bees algorithm
- Berndt–Hall–Hall–Hausman algorithm
- Biconvex optimization
- Big M method
- Branch and bound
- Branch and cut
- Branch and price
- Broyden's method
- Broyden–Fletcher–Goldfarb–Shanno algorithm
- COBYLA
- Column generation
- Combinatorial optimization
- Constrained optimization
- Convex optimization
- Coordinate descent
- Criss-cross algorithm
- Cuckoo search
- Cutting-plane method
- Dijkstra's algorithm
- Dinic's algorithm
- Distributed constraint optimization
- Dynamic programming
- Edmonds–Karp algorithm
- Ellipsoid method
- Evolutionary multimodal optimization
- Extremal optimization
- Firefly algorithm
- Fireworks algorithm
- Floyd–Warshall algorithm
- Fourier–Motzkin elimination
- Frank–Wolfe algorithm
- Gauss–Newton algorithm
- Generalized iterative scaling
- Golden-section search
- Gradient descent
- Great Deluge algorithm
- Greedy algorithm
- Guided Local Search
- Harmony search
- Hill climbing
- Integer programming
- Interior-point method
- Iterative method
- Karmarkar's algorithm
- Klee–Minty cube
- LINCOA
- Lemke's algorithm
- Levenberg–Marquardt algorithm
- Limited-memory BFGS
- Line search
- Linear programming
- Mathematical optimization
- Meta-optimization
- Metaheuristic
- Minimum Population Search
- Mirror descent
- Multitask optimization
- NEWUOA
- Nelder–Mead method
- Newton's method
- Newton's method in optimization
- Nonlinear conjugate gradient method
- Nonlinear programming
- Parallel metaheuristic
- Penalty method
- Powell's dog leg method
- Powell's method
- Push–relabel maximum flow algorithm
- Quadratic programming
- Quantum annealing
- Quasi-Newton method
- Register allocation
- Rider optimization algorithm
- Rosenbrock methods
- Scoring algorithm
- Semidefinite programming
- Sequential linear-quadratic programming
- Sequential minimal optimization
- Sequential quadratic programming
- Shortest Path Faster Algorithm
- Simplex algorithm
- Special ordered set
- Spiral optimization algorithm
- Subgradient method
- Successive linear programming
- Swarm intelligence
- Symmetric rank-one
- Tabu search
- Truncated Newton method
- Trust region
- UOBYQA
- Template:Optimization algorithms