This note deals with the manner in which dynamic problems, involving probabilistic constraints, may be tackled using the ideas of Lagrange multipliers and efficient solutions. Both the infinite and ...

In the linear programming approach to approximate dynamic programming, one tries to solve a certain linear program-the ALP-that has a relatively small number K of variables but an intractable number M ...

Concurrently, the emergence of formal frameworks for optimisation with constraint learning has helped systematise the extraction of implicit constraints from data, reducing the reliance on ...

Mathematical Programming with Vanishing Constraints Publication Trend The graph below shows the total number of publications each year in Mathematical Programming with Vanishing Constraints.

The article Harnessing Incremental Answer Set Solving for Reasoning in Assumption-Based Argumentation, authored by Tuomo Lehtonen and Matti Järvisalo of the Constraint Reasoning and Optimization group ...

Crista Lopes discusses the idea of using constraints to define styles of programming and architecture. Also: large scale static analysis of open source code, Open Simulator and VR, and much more.