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Titlebook: Linear Programming Computation; Ping-Qi PAN Book 2023Latest edition The Editor(s) (if applicable) and The Author(s), under exclusive licen

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楼主: trace-mineral
发表于 2025-3-28 16:41:55 | 显示全部楼层
Ping-Qi PANthorough introduction to applied optimization with unique apOptimization has pervaded all spheres of human endeavor. Although op- mization has been practiced in some form or other from the early prehistoric era, this area has seen progressive growth during the last ?ve decades. M- ern society lives
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Ping-Qi PANthorough introduction to applied optimization with unique apOptimization has pervaded all spheres of human endeavor. Although op- mization has been practiced in some form or other from the early prehistoric era, this area has seen progressive growth during the last ?ve decades. M- ern society lives
发表于 2025-3-28 23:53:03 | 显示全部楼层
Ping-Qi PANs have smaller limbs than the animals living in hotter climates, to provide a minimum surface area to volume ratio. In our day to day lives we make decisions that we believe can maximize or minimize our set of objectives, such as taking a shortcut to minimize the time required to reach a particular
发表于 2025-3-29 06:36:38 | 显示全部楼层
Geometry of Feasible Region exception. In this chapter, we introduce its special structure in geometry, including . as a polyhedral convex set, interior point, relative interior point, face, vertex, extreme direction, representation of ., optimal face and optimal vertex, graphic approach to LP, heuristic characteristic of an
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Simplex Methodng this field for more than 70 years. This chapter presents this method, including tableau as well as revised simplex algorithm, starting-up, degeneracy, cycling, and finite pivot rule. We conclude with some remarks in the final section.
发表于 2025-3-29 11:34:41 | 显示全部楼层
Duality Principle and Dual Simplex Method (., ., .), but positioned differently (except for the self-duality, see below). The former is referred to as ., and the latter as .. Based on duality, once a primal problem is solved, so is the dual problem, and vice versa. This chapter is devoted to such topics as the relationship between their fe
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Sensitivity Analysis and Parametric LPlem. This chapter discusses how to deal with such problems effectively, as changing cost, the right-hand side, and coefficient matrix, and adding/dropping variable/constraint, and replacing a row/column. This theme, termed ., has important applications in integer and/or mixed-integer linear programm
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