<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/7ced9b9924df4f589204766d18f35518&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7ced9b9924df4f589204766d18f35518-1719560008860.gif</thumbnail_url><duration>292.517</duration><title> leet code(64) Maximum Path Sum</title><description>In this video, I explain how to solve the 64th problem, the maximum path sum problem, using dynamic programming. We work with a matrix of M rows and N columns, moving from the top left to the bottom right corner by only moving right or down. I provide step-by-step guidance on initializing arrays, calculating values, and reaching the final sum. Viewers are instructed to focus on minimizing the sum to complete the matrix successfully.</description></oembed>