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2. Bayesian optimization - Wikipedia

   en.wikipedia.org/wiki/Bayesian_optimization

   Bayesian optimization of a function (black) with Gaussian processes (purple). Three acquisition functions (blue) are shown at the bottom. [6]Bayesian optimization is typically used on problems of the form (), where is a set of points, , which rely upon less than 20 dimensions (,), and whose membership can easily be evaluated.

3. Duality (optimization) - Wikipedia

   en.wikipedia.org/wiki/Duality_(optimization)

   In mathematical optimization theory, duality or the duality principle is the principle that optimization problems may be viewed from either of two perspectives, the primal problem or the dual problem. If the primal is a minimization problem then the dual is a maximization problem (and vice versa). Any feasible solution to the primal ...

4. Pareto front - Wikipedia

   en.wikipedia.org/wiki/Pareto_front

   Pareto front. In multi-objective optimization, the Pareto front (also called Pareto frontier or Pareto curve) is the set of all Pareto efficient solutions. [ 1] The concept is widely used in engineering. [ 2]: 111–148 It allows the designer to restrict attention to the set of efficient choices, and to make tradeoffs within this set, rather ...

5. Convex optimization - Wikipedia

   en.wikipedia.org/wiki/Convex_optimization

   Convex optimization can be used to model problems in a wide range of disciplines, such as automatic control systems, estimation and signal processing, communications and networks, electronic circuit design, [7]: 17 data analysis and modeling, finance, statistics (optimal experimental design), [20] and structural optimization, where the ...

6. Multi-objective optimization - Wikipedia

   en.wikipedia.org/wiki/Multi-objective_optimization

   Multi-objective is a type of vector optimization that has been applied in many fields of science, including engineering, economics and logistics where optimal decisions need to be taken in the presence of trade-offs between two or more conflicting objectives. Minimizing cost while maximizing comfort while buying a car, and maximizing ...

7. OptiY - Wikipedia

   en.wikipedia.org/wiki/OptiY

   OptiY is an multidisciplinary design environment, which provides direct and generic interfaces to many CAD/CAE-systems and house-intern codes. Furthermore, a complex COM-interface and a user-node with predefined template are available so that user can self-integrate extern programs for ease of use.