add 2 more blog posts Anthropocene Reviewed and Local Search

src/content/blog/a-review-of-the-anthropocene-reviewed

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+---
+author: Jeevika
+pubDatetime: 2024-10-07T06:57:14.227Z
+modDatetime: 2024-10-07T06:57:14.227Z
+title: A review of The Anthropocene Reviwed
+slug: a-review-of-the-anthropocene-reviewed
+featured: true
+draft: false
+tags:
+  - book review
+  - john green
+description: The book you need when everything is falling apart.
+---
+
+It feels like a diary of one of my favorite people in the world whom I got to know about from one of my favorite people on Earth. Every single chapter is a moment of history of significance to the author, similar to going to your grandparents' house and listening while they tell you stories about their lives.
+
+The chapter about Jerry Dorzek in the Milan v Liverpool final made me sob, and believe me, this is the first time I have ever—I mean, ever—cried because of sports. John Green brings us humanity's favorite things about itself and the world around us in small, pocket-sized, anecdote-filled, brilliant writings, leaving you to scramble from one line to another, gasping at the beauty of our world and realizing our own impact on the world around us.

src/content/blog/local-search-is-surprisingly-philosophical

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+---
+author: Jeevika
+pubDatetime: 2024-10-07T07:07:44.140Z
+modDatetime: 2024-10-07T07:07:44.140Z
+title: Local Search is surprisingly philosophical
+slug: local-search-is-surprisingly-philosophical
+featured: true
+draft: false
+tags:
+  - searching algorithms
+description: I am cramming for my mid-terms but that does not have to be not fun :)
+---
+
+Local search is a family of algorithms that maintain a single node and explore only one of the neighbors of the current node. It's an algorithm that is in the general superfamily of optimization problems, and the goal of these optimization problems is usually to find a global maximum or a global minimum.
+
+From now on, let's assume that this optimization problem is a maximization problem so that I don't have to keep repeating words.
+What we learn from local search is that sometimes to get to the global maximum, you have to let go of the nicer things in your local maximum.
+
+The saying "when you hit rock bottom, you can't go anywhere else but up" is somewhat true to local search. Because in local search, when we choose to let go of our local maximum, we have to deal with the repercussions of letting go of this optimal solution (which is after all a solution, maybe not the best solution, but still optimal)—we might end up with something worse, but we might also end up climbing higher. That is life, and that is somehow also how local search works. So that's quite cool, I think.