Скачать или смотреть The New solveBlackbox Action in SAS Optimization 8.5

In SAS Viya 3.5, SAS Optimization 8.5 introduces the solveBlackbox action. This action greatly expands both the means of access to the essential black-box optimization technique and the range of its potential applications. Black-box optimization uses innovative methods to find solutions to some of the most challenging optimization problems, in which the functions involved might be nonsmooth, discontinuous, and computationally expensive to evaluate. You can call the solveBlackbox action from programs in CASL (SAS® Cloud Analytic Services language) or in the Python, Lua, Java, and R languages. And because this action uses CASL to define objective functions, there is almost no function it cannot work with; any CASL script can become an objective function of the solveBlackbox action. In addition, this action makes extensive use of multilevel parallelism, enabling you to make the most effective use of distributed computational resources. Distributed computational tasks that are called by this action can in turn call other distributed tasks. This paper reviews the capabilities of the solveBlackbox action and compares its capabilities to those of the black-box solver (formerly the LSO solver) that has been available since SAS Optimization 8.2.

Presenter: Edward Hughes, Principal Product Manager, SAS
Session ID: 4494
Topic: Analytics
Industry: Non-Industry Specific
Audience: Programmer, Researcher, Statistician/Biostatistician
Skill Level: Intermediate

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