Computational Mathematical ProgrammingKlaus Schittkowski |
Contents
Integer Programming | 1 |
Model Building in Linear and Integer Programming | 24 |
LPBased Combinatorial Problem Solving | 51 |
Copyright | |
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00 T FTF APPLICATION PROBLEMS SOLVED approach approximation AUTHOR(S branch & bound CODE coefficients CONDITIONS OF AVAILABILITY constrained optimization convergence convex defined differentiable DOMAIN OF APPLICATIONS dual efficient equations evaluations example feasible formulation function value geometric programming global minimum global optimization gradient GRG2 Hessian heuristic IMPLEMENTED inequalities integer programming IQP method iteration Lagrangian line search linear programming local minimum lower bound Math MATHEMATICAL METHOD MATHEMATICAL PROBLEM Mathematical Programming matrix minimization multipliers node nonlinear constraints nonlinear programming objective function obtained Operations Research optimal control optimal solution optimization problems optimum Padberg parallel algorithms parallel computation polynomial polytope PRACTICAL APPLICATION PROBLEMS procedure PROGRAMMING LANGUAGE quadratic programming quasi-Newton methods satisfied Schittkowski sequential SPECIAL PROGRAM FEATURES step stochastic strategy subgradient subproblem techniques test problems traveling salesman problem unconstrained update upper bound variables vector xk+1 zero-one