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  1. Conic optimization (Computing) [Convex optimization] Subfield of convex optimization ...
  2. Entropy maximization (Computing) [Convex optimization] ...
  3. Precomputation (Computing) [Software optimization] Act of performing an initial computation before run time ...
  4. Throughput Maximization (Simulation Optimization Library) [Stochastic optimization] The problem of Throughput Maximization is a family of iterative stochastic ...
  5. Slater's condition (Computing) [Convex optimization] ...
  6. Memory footprint (Computing) [Software optimization] The amount of memory a computer program uses ...
  7. Descent direction (Computing) [Mathematical optimization] ...
  8. Integer programming (Computing) [Combinatorial optimization] A mathematical optimization problem restricted to integers ...
  9. Lagrangian relaxation (Computing) [Convex optimization] A solution to the relaxed problem is an approximate solution to ...
  10. Local optimum (Computing) [Mathematical optimization] This is in contrast to a global optimum, which is the ...
  11. Proximal operator (Computing) [Mathematical optimization] ...
  12. Performance prediction (Computing) [Software optimization] There are many approaches to predict program 's performance on computers ...
  13. Correlation gap (Computing) [Stochastic optimization] Ratio in Mathematical Optimization ...
  14. Optimal control (Computing) [Mathematical optimization] Mathematical way of attaining a desired output from a dynamic system ...
  15. Pseudo-Boolean function (Computing) [Mathematical optimization] Generalization of binary functions ...
  16. Topological derivative (Computing) [Mathematical optimization] The topological derivative is, conceptually, a derivative of a shape functional ...
  17. Inventory analysis (Computing) [Inventory optimization] ...
  18. Disk footprint (Computing) [Software optimization] Disk footprint (or storage footprint) of a software application refers to ...
  19. Zero-copy (Computing) [Software optimization] Performance is enhanced by allowing the CPU to move on to ...
  20. Center-of-gravity method (Computing) [Convex optimization] The center-of-gravity method is a theoretic algorithm for convex optimization. It ...
  21. Profilers (Category) [Software optimization] ...
  22. Power cone (Computing) [Convex optimization] ...
  23. Category:Control theory and optimization * {{MSCwiki|49}} Calculus of variations and optimal control; optimization [See also {{MSCwiki|34H05}}, {{MSCwiki|34K35}}, {{MSCwiki|65Kxx}}, {{MSCwik
  24. Mean field annealing (Computing) [Mathematical optimization] ...
  25. 1-center problem (Computing) [Combinatorial optimization] Combinatorial optimization problem ...
  26. Input enhancement (Computing) [Software optimization] Computer science; ...
  27. Linear matrix inequality (Computing) [Convex optimization] Mathematical convex optimization ...
  28. Newsvendor model (Finance) [Inventory optimization] Mathematical model to assist inventory levels ...
  29. Moreau envelope (Computing) [Mathematical optimization] The Moreau envelope (or the Moreau-Yosida regularization) of a proper lower ...
  30. Submodular flow (Computing) [Combinatorial optimization] Problem in combinatorial optimization ...