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2. OpenMDAO - Wikipedia

   en.wikipedia.org/wiki/OpenMDAO

   OpenMDAO is an open-source high-performance computing platform for systems analysis and multidisciplinary optimization written in the Python programming language.. The OpenMDAO project is primarily focused on supporting gradient based optimization with analytic derivatives to allow you to explore large design spaces with hundreds or thousands of design variables, but the framework also has a ...

3. Algorithmic efficiency - Wikipedia

   en.wikipedia.org/wiki/Algorithmic_efficiency

   In computer science, algorithmic efficiency is a property of an algorithm which relates to the amount of computational resources used by the algorithm. Algorithmic efficiency can be thought of as analogous to engineering productivity for a repeating or continuous process.

4. Program optimization - Wikipedia

   en.wikipedia.org/wiki/Program_optimization

   As performance is part of the specification of a program – a program that is unusably slow is not fit for purpose: a video game with 60 Hz (frames-per-second) is acceptable, but 6 frames-per-second is unacceptably choppy – performance is a consideration from the start, to ensure that the system is able to deliver sufficient performance, and ...

5. Profile-guided optimization - Wikipedia

   en.wikipedia.org/wiki/Profile-guided_optimization

   In computer programming, profile-guided optimization (PGO, sometimes pronounced as pogo [1]), also known as profile-directed feedback (PDF) [2] or feedback-directed optimization (FDO), [3] is the compiler optimization technique of using prior analyses of software artifacts or behaviors ("profiling") to improve the expected runtime performance of the program.

6. List of optimization software - Wikipedia

   en.wikipedia.org/wiki/List_of_optimization_software

   The use of optimization software requires that the function f is defined in a suitable programming language and connected at compilation or run time to the optimization software. The optimization software will deliver input values in A , the software module realizing f will deliver the computed value f ( x ) and, in some cases, additional ...

7. Gekko (optimization software) - Wikipedia

   en.wikipedia.org/wiki/Gekko_(optimization_software)

   GEKKO is an extension of the APMonitor Optimization Suite but has integrated the modeling and solution visualization directly within Python. A mathematical model is expressed in terms of variables and equations such as the Hock & Schittkowski Benchmark Problem #71 [2] used to test the performance of nonlinear programming solvers.

8. Hyperparameter optimization - Wikipedia

   en.wikipedia.org/wiki/Hyperparameter_optimization

   Despite its simplicity, random search remains one of the important base-lines against which to compare the performance of new hyperparameter optimization methods. Methods such as Bayesian optimization smartly explore the space of potential choices of hyperparameters by deciding which combination to explore next based on previous observations.

9. Simulation-based optimization - Wikipedia

   en.wikipedia.org/wiki/Simulation-based_optimization

   Simulation-based optimization (also known as simply simulation optimization) integrates optimization techniques into simulation modeling and analysis. Because of the complexity of the simulation, the objective function may become difficult and expensive to evaluate. Usually, the underlying simulation model is stochastic, so that the objective ...