The graph below shows the total number of publications each year in Probabilistic Programming and Inference Algorithms. References [1] On the hardness of analysing probabilistic programs .

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

View on Coursera Course Description. This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving ...

In the present paper a bi-objective integer linear programming problem (BILP) is discussed. The main effort in this work is to effectively implement the ϵ-constraint method to produce a complete set ...