[{"content":"I just got to know that literate-calc-mode exists, while browsing this week\u0026rsquo;s Sacha\u0026rsquo;s Blog. You can use it within org files itself! No need to remember calc shortcuts!.\n","permalink":"https://ramathuzen.github.io/tils/2026-11-10-literate-calc-emacs/","summary":"\u003cp\u003eI just got to know that \u003ca href=\"https://randyridenour.net/posts/2026-11-01-emacs-literate-calc-mode.html\"\u003eliterate-calc-mode\u003c/a\u003e exists, while browsing this week\u0026rsquo;s \u003ca href=\"https://sachachua.com/blog/2026/11/2026-11-09-emacs-news/\"\u003eSacha\u0026rsquo;s Blog\u003c/a\u003e. You can use it within org files itself! No need to remember calc shortcuts!.\u003c/p\u003e","title":"Emacs Literate Calc Mode"},{"content":"To pull and update all nested submodules in one command:\ngit submodule update --init --recursive --remote ","permalink":"https://ramathuzen.github.io/tils/2026-11-10-git-submodule/","summary":"\u003cp\u003eTo pull and update all nested submodules in one command:\u003c/p\u003e\n\u003cdiv class=\"highlight\"\u003e\u003cpre tabindex=\"0\" style=\"color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;-webkit-text-size-adjust:none;\"\u003e\u003ccode class=\"language-bash\" data-lang=\"bash\"\u003e\u003cspan style=\"display:flex;\"\u003e\u003cspan\u003egit submodule update --init --recursive --remote\n\u003c/span\u003e\u003c/span\u003e\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e","title":"Updating Git Submodules Recursively"},{"content":"A quick look at the discrete state-space update step.\nThe linear measurement update equation is given by:\n$$x_k = A x_{k-1} + B u_k + w_k$$ Where the Kalman Gain $K_k$ scales the innovation:\n$$K_k = P_k^- H^T (H P_k^- H^T + R)^{-1}$$ Inline math check: the error covariance shrinks when $R \\to 0$.\n","permalink":"https://ramathuzen.github.io/blogs/kalman-filter-basics/","summary":"\u003cp\u003eA quick look at the discrete state-space update step.\u003c/p\u003e\n\u003cp\u003eThe linear measurement update equation is given by:\u003c/p\u003e\n$$x_k = A x_{k-1} + B u_k + w_k$$\u003cp\u003eWhere the Kalman Gain $K_k$ scales the innovation:\u003c/p\u003e\n$$K_k = P_k^- H^T (H P_k^- H^T + R)^{-1}$$\u003cp\u003eInline math check: the error covariance shrinks when $R \\to 0$.\u003c/p\u003e","title":"State Estimation with Kalman Filters"}]