![Visually Explained]({"thumbnails":[{"url":"https://i.ytimg.com/vi/Q7vT0--5VII/hqdefault.jpg?sqp=-oaymwEbCKgBEF5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLD-6-g8unQloKSWXUjfdIdSNIbMeA","width":168,"height":94},{"url":"https://i.ytimg.com/vi/Q7vT0--5VII/hqdefault.jpg?sqp=-oaymwEbCMQBEG5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLDoe22-U6nyoBdojPW4slLqreqY8w","width":196,"height":110},{"url":"https://i.ytimg.com/vi/Q7vT0--5VII/hqdefault.jpg?sqp=-oaymwEcCPYBEIoBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLCkRKrtm0snpydWahR0eXZcDMI7LQ","width":246,"height":138},{"url":"https://i.ytimg.com/vi/Q7vT0--5VII/hqdefault.jpg?sqp=-oaymwEcCNACELwBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLA_hxE3Cl5QrxXv0GeACWyizOxCBA","width":336,"height":188},{"url":"https://i.ytimg.com/vi/Q7vT0--5VII/maxresdefault.jpg","width":1920,"height":1080}]})
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![What Is Mathematical Optimization?]({"thumbnails":[{"url":"https://i.ytimg.com/vi/AM6BY4btj-M/hqdefault.jpg?sqp=-oaymwEbCKgBEF5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLB3szgAKCJFtuj-WR4YaisIZhOcnQ","width":168,"height":94},{"url":"https://i.ytimg.com/vi/AM6BY4btj-M/hqdefault.jpg?sqp=-oaymwEbCMQBEG5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLCVXOL63jPW8xW3RWnmAlNZ5KOmfw","width":196,"height":110},{"url":"https://i.ytimg.com/vi/AM6BY4btj-M/hqdefault.jpg?sqp=-oaymwEcCPYBEIoBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLDUzNQbDFsed5wvR25jI9CRuG0muQ","width":246,"height":138},{"url":"https://i.ytimg.com/vi/AM6BY4btj-M/hqdefault.jpg?sqp=-oaymwEcCNACELwBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLBi77MxaZv8qOwN8VwKnsd1eLgwwA","width":336,"height":188},{"url":"https://i.ytimg.com/vi/AM6BY4btj-M/maxresdefault.jpg","width":1920,"height":1080}]})
![The Karush–Kuhn–Tucker (KKT) Conditions and the Interior Point Method for Convex Optimization]({"thumbnails":[{"url":"https://i.ytimg.com/vi/uh1Dk68cfWs/hqdefault.jpg?sqp=-oaymwEbCKgBEF5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLADMoT1_fesrFpZy1qVYQuaSSr-YA","width":168,"height":94},{"url":"https://i.ytimg.com/vi/uh1Dk68cfWs/hqdefault.jpg?sqp=-oaymwEbCMQBEG5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLDOG_MjxkQaH4SyfNJYFEuwDgRMxg","width":196,"height":110},{"url":"https://i.ytimg.com/vi/uh1Dk68cfWs/hqdefault.jpg?sqp=-oaymwEcCPYBEIoBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLDJWrczSS3jC13SGBuDyEoiFgrDrg","width":246,"height":138},{"url":"https://i.ytimg.com/vi/uh1Dk68cfWs/hqdefault.jpg?sqp=-oaymwEcCNACELwBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLCeyL9AQk5VkAxaJ66zJXSivqo-fw","width":336,"height":188},{"url":"https://i.ytimg.com/vi_webp/uh1Dk68cfWs/maxresdefault.webp","width":1920,"height":1080}]})
![Convexity and The Principle of Duality]({"thumbnails":[{"url":"https://i.ytimg.com/vi/d0CF3d5aEGc/hqdefault.jpg?sqp=-oaymwEbCKgBEF5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLCYFi5ixL-whbxfSxJM70RlMQyksQ","width":168,"height":94},{"url":"https://i.ytimg.com/vi/d0CF3d5aEGc/hqdefault.jpg?sqp=-oaymwEbCMQBEG5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLDCIswVh5rivot42c2bogXP9Bz8yg","width":196,"height":110},{"url":"https://i.ytimg.com/vi/d0CF3d5aEGc/hqdefault.jpg?sqp=-oaymwEcCPYBEIoBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLBU19G5QwFNUcniGITzu-FvDmzOQg","width":246,"height":138},{"url":"https://i.ytimg.com/vi/d0CF3d5aEGc/hqdefault.jpg?sqp=-oaymwEcCNACELwBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLCGTk6Ay09sJIWozJu4QnVLEzgVJA","width":336,"height":188},{"url":"https://i.ytimg.com/vi_webp/d0CF3d5aEGc/maxresdefault.webp","width":1920,"height":1080}]})
