"基于贪婪技术的计算模型与算法技术优化解决方案构建与应用"

The Greedy Technique is a method used in computing models and algorithm technology that constructs solutions to optimization problems piece by piece through a series of choices that are feasible, locally optimal, and irrevocable. This technique, as outlined in the presentation "9-Greedy Technique.ppt", can be applied to various problems to find optimal solutions or fast approximations. The Greedy Technique is especially useful in applications such as change making for "normal" currencies, where it can yield optimal solutions for every instance. By making decisions that seem best at the time without considering the bigger picture, the Greedy Technique is able to make progress towards a solution step by step. While the Greedy Technique may not always guarantee an optimal solution for every problem, it can still be valuable for finding quick and efficient approximations. By focusing on immediate gains rather than long-term consequences, the Greedy Technique can provide a practical approach to problem-solving in various scenarios. In conclusion, the Greedy Technique offers a practical and efficient method for constructing solutions to optimization problems in computing models and algorithm technology. By making locally optimal choices that are feasible and irrevocable, this technique can be applied to a wide range of problems to find optimal solutions or fast approximations.