| Example | Name | Page | Model Type | Type | Size |
|---|---|---|---|---|---|
| Example 3.1-1 | Wyndor Glass | 24 | Product-Mix | LP | 2x3 |
| Example 3.4-1 | Mary's Radiation | 43 | Blending | LP | 3x2 |
| Example 3.4-2 | Kibbutzim | 45 | Product-Mix | LP | 12x9 |
| Example 3.4-3 | Nori and Leets, Inc. | 49 | Blending | LP | 3x6 |
| Example 3.4-4 | Save-It Company | 51 | Blending | LP | 19x12 |
| Example 3.4-4b | Save-It Company | 51 | Blending | LP | 26x19 |
| Example 3.4-5 | Union Airways | 55 | Work Scheduling | LP | 10x5 |
| Example 3.4-6 | Distribution Unlimited | 58 | Transportation | LP | 7x7 |
| Example 7.1-1 | Wyndor Glass Dual | 278 | Transportation | LP | 2x3 |
| Example 7.3-1 | Upper Bound | 286 | Upper Bound Technique | LP | 2x3 |
| Example 7.5-1 | Dewright_Co | Supp to Ch 7 | Goal Programming | LP | 3x7 |
| Example 8.1-1 | P&T Company | 305 | Transportation | LP | 7x12 |
| Example 8.1-2 | Northern Airplane | 313 | Transportation | LP | 9x20 |
| Example 8.1-3 | Metro Water | 316 | Transportation | LP | 9x20 |
| Example 8.3-1 | Job Shop Company | 334 | Transportation | LP | 8x16 |
| Example 8.3-2a | Better Products Company | 339 | Transportation | LP | 8x15 |
| Example 8.3-2b | Better Products Company | 339 | Assignment | LP | 10x25 |
| Example 9.3-1 | Shortest Path | 364 | Shortest Path | LP | 7x12 |
| Example 9.5-1 | Maximum Flow | 373 | Maximum Flow | LP | 7x14 |
| Example 9.6-1 | Minimum Cost | 384 | Minimum Cost Flow | LP | 7x7 |
| Example 9.8-1 | Critical Path | 399 | PERT/CPM | LP | 18x15 |
| Example 9.8-2 | Crashing | 403 | Crashing | LP | 18x29 |
| Example 11.1-1 | Calif. Manufacturing | 465 | Fac Location | MIP | 4x4 |
| Example 11.4-1 | Production Rates | 479 | Production | MIP | 6x7 |
| Example 11.4-2a | TV Spots | 482 | Marketing | MIP | 4x9 |
| Example 11.4-2b | TV Spots | 482 | Marketing | MIP | 7x9 |
| Example 11.4-3 | Crew Assignments | 485 | Set Covering | MIP | 12x12 |
| Example 12.2-1 | Nonlinear Constraint | 542 | Nonlinear Constraint | NLP | 2x2 |
| Example 12.2-2 | Nonlinear Objective | 542 | Nonlinear Objective | QP | 3x2 |
| Example 12.2-3 | Nonlinear Objective 2 | 543 | Nonlinear Objective | NLP | 3x2 |
| Example 12.9-1 | Convex | 582 | Convex | NLP | 2x1 |
| Example 14.1-1 | Odds and Even | 651 | Game Theory | LP | 3x3 |
| Example 14.2-1 | Political Variaton 1 | 653 | Game Theory | LP | 4x4 |
| Example 14.2-2 | Political Variaton 2 | 656 | Variation | LP | 4x4 |
| Example 14.2-3 | Political Variaton 3 | 657 | Game Theory | LP | 4x4 |