An article generalizes the long-term work of authors with packages applied mathematical programs. It discusses and demonstrates features methods solution tasks in package Mathcad Mathematica: from simplest ones, included set typical problems disciplines for training specialists shipbuilding, to complex computational professional orientation, which require construction a model analysis results o...

Existing modeling languages lack the expressiveness or efficiency to support many modern and successful machine learning (ML) models such as structured prediction or matrix factorization. We present WOLFE, a probabilistic programming language that enables practitioners to develop such models. Most ML approaches can be formulated in terms of scalar objectives or scoring functions (such as distri...

The problem of Order Acceptance and Scheduling (OAS) is defined as a joint decision of which orders to accept for processing and how to schedule them. Any linear programming model representing real-world situation involves the parameters defined by the decision maker in an uncertain way or by means of language statement. Fuzzy data can be used to incorporate vagueness in the real-life situation...

Bilevel Optimization Programming is used to model complex and conflicting interactions between agents, for example in Robust AI or Privacy preserving AI. Integrating bilevel mathematical programming within deep learning thus an essential objective the Machine Learning community. Previously proposed approaches only consider single-level programming. In this paper, we extend existing optimization...