Pracniques: construction of nonlinear programming test problems
Communications of the ACM
FORTRAN Codes for Mathematical Programming: Linear, Quadratic and Discrete
FORTRAN Codes for Mathematical Programming: Linear, Quadratic and Discrete
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This paper presents a branch and bound method for solving problems in which the objective function is quadratic, the constraints are linear, and some or all variables are required to be integer. The algorithm is obtained by grafting an inverse-basis version of Beale's method onto the Land-Doig procedure. The code has been tested on a computer, and computational results with various strategies of branching are reported.