题号题目核心考点496下一个更大元素 I单调栈 + Map 缓存739每日温度下一个更大 + 存索引算距离503下一个更大元素 II循环数组（2 倍长度 + 取模）1019链表中的下一个更大节点链表转数组 + 模板1944队列中可以看到的人数弹栈计数 + 栈顶是否可见1475商品折扣后的最终价格右侧第一个 ≤ cur901股票价格跨度上一个更大（正序）402移掉 K 位数字单调递增栈 + k 限制853车队排序 + 时间比较（可不用栈）581最短无序连续子数组边界 + 最值扩展（非纯单调栈）
Hello. I have recently been spending a lot of time dithering. In image processing, dithering is the act of applying intentional perturbations or noise in order to compensate for the information lost during colour reduction, also known as quantisation. In particular, I’ve become very interested in a specific type of dithering and its application to colour palettes of arbitrary or irregular colour distributions. Before going into detail however, let’s briefly review the basics of image dithering.
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Explicit Multi-consumer patterns