Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

https://doi.org/10.2307/2582400 • https://www.jstor.org/stable/2582400 Copy URL This paper offers a new approach to the solution of zero-one goal-programming ...

This is a preview. Log in through your library . Abstract The multi-item joint replenishment problem is generalized to allow ordering costs to be dependent on the specific items jointly supplied. A ...

[Ron Alsing] wanted to try out some genetic programming, so he created a simple test problem: Could you render the Mona Lisa using just 50 semitransparent polygons? The program starts with a random ...

Researchers enrolled 5,000 patients in a remote, cholesterol and blood pressure management program utilizing care navigators and pharmacists, supported by specialists and using specialist-designed ...