Robust optimization has traditionally focused on uncertainty in data and costs in optimization problems to formulate models whose solutions will be optimal in the worstcase among ...
Kedar Dhamdhere, Vineet Goyal, R. Ravi, Mohit Sing...
high NRE cost. Therefore, general purpose programmable processors using software to perform various functions become more attractive since programmability can simplify system devel...
Interpretation interpretation is a theory of effective abstraction and/or approximation of discrete mathematical structures as found in the semantics of programming languages, mod...
Informal prototyping tools have shown great potential in facilitating the early stage design of user interfaces. However, continuous interactions, an important constituent of high...
The fare planning problem for public transport is to design a system of fares that maximize the revenue. We introduce a nonlinear optimization model to approach this problem. It i...