方法证据记录
Deterministic Integer Programming
Deterministic Integer Programming (DIP) is a mathematical optimization approach that finds the best solution to problems where some or all decision variables must take integer values, given fully known (deterministic) objective and constraint data. It is the classical, non-stochastic form of integer programming, foundational to operations research and combinatorial optimization since the late 1950s.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Deterministic Integer Programming
分类方法记录 · process-pipeline / simulation
- Gomory, R. E. (1958). Outline of an algorithm for integer solutions to linear programs. Bulletin of the American Mathematical Society, 64(5), 275-278. · DOI 10.1090/S0002-9904-1958-10224-4
- Wolsey, L. A. (1998). Integer Programming. Wiley-Interscience, New York. · ISBN 9780471283669
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