数学领域是学习算法的先决条件?
我认为,这在很大程度上取决于你想要使用哪一种算法,以及你想要理解这些算法的深度。
对通常的基本数据结构的了解几乎不需要数学背景。
大部分制图学算法要求了解三角学和空间地貌。
如果您有某种物理基础,那么有关物理发动机的天文学就更容易理解。
如果你想要你的方案帮助你作出决定,你可能需要研究实际巨大的数学分领域,其中包括图表理论、游戏理论、选择(包括分析和分界线)
无论如何,具有逻辑/主题思维显然有助于了解和检查/证实你的法典能够/无法发挥作用。
如果你再谈论简单的方案,那么实际上就不需要很多数学。 就此而言,你的解决问题和逻辑能力更为重要,但有必要利用流程图和流程规划,在解决问题的基本方面得到指示。
另一方面,人们知道数学可以提高你的能力,在某些领域,你需要了解数学才能取得预期结果。 例如,建立了解线性黄色的动画发动机,其物理作用就更大。
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