Mauricio G. C. Resende, K. G. Ramakrishnan, Zvi Drezner, Computing Lower Bounds for the Quadratic Assignment Problem with an Interior Point Algorithm for Linear ...

Part 1 For this part of the assignment, you will implement a radix sort procedure for sorting numbers between 0 (inclusive) and 1,000,000 (exclusive) (i.e. 6-digit ...

Linear regression is an algorithm used to visualize a relation-ship between two variables, a dependent variable, and an inde-pendent variable. The independent variable stands by itself and isn’t ...

The Journal of the Operational Research Society, Vol. 41, No. 4 (Apr., 1990), pp. 291-297 (7 pages) The Hitchcock transportation problem is perhaps one of the `most solved' linear programming problems ...

Roth, A. E., U. G. Rothblum, and J. H. Vande Vate. "Stable Matchings, Optimal Assignments, and Linear Programming." Mathematics of Operations Research 18, no. 4 ...

Solving linear programming problems in a spreadsheet yields equations for maximizing business profits. As applied to business, linear programming typically involves an objective formula, such as ...

tl/dr: I need help with the "generate()" method described below... a nudge in the correct direction or perhaps, a good reference/tutorial/something that helps me understand dynamic programming better.

Diet models based on goal programming (GP) are valuable tools in designing diets that comply with nutritional, palatability and cost constraints. Results derived from GP models are usually very ...