For the last five month I have used spaced repetition again more extensively, not only for vocabulary learning, but also in other domains such as math and instrument learning.

This post collects some observations I made, and gives examples how they are making life easier. The cards are generated with ZTL from my set of notes and imported to Anki.

Navigating a set of notes is central for a useful note taking system. I recently designed a custom note picker for ZTL and aplied ideas of modal editing to its function.

In this post, we will generate populations of programs consisting of only eight instructions and optimize their fitness to reproduce a target behaviour (for example reversing a sequence) with genetic programming.

One of the interesting, and hard aspect of calisthenics, is the ability to progress between movements in many different ways. In contrast to classical weight training, the target is not being able to lift a certain amount of weight over a certain amount of repetitions – but being able to move into a position and hold for some time.

I was recently loooking for ways to track exercise progressions long-term. As I found existing applications not customizable enough for my needs, I instead implemented a simple interval timer. What set it aparts from others, is that executions is sourced from TOML files. Especially for intra-exercise progressions, I found a self-modifying pattern useful, where configuration keys can act on themselves.

Peeling oranges in high dimensionality $k\gg 3$ is hard. This post discusses a fundamental phenomenon in asymptotic geometry and explains at which rate you should peel an orange.

I wrote a new iteration of my note system during a week vacation from home. Motivated with two recent observations, that the system I want to built is actually a static note generator, and that Mastodon is a good fit for publishing and reviewing notes, I created a tool called ztl.

A transcription of Belle qui tiens ma vie I created with Musescore for playing on Gambe and singing together.

I recently started with some exercises of the comprehensive convex analysis and monotone operator book by Bauschke and Combettes. It is an excellent source for self-studying and a good fit for a student with EE math background.

At the beginning of the year I started practicing a new instrument and took since then classes for a bass Viola da Gamba. After around 10 month of regular sessions, I slowly developed enough dexterity to play simple tunes. This post contains a brief resume of observations of the past months and shows some music of the Gambe.

Arguably one of the most important identities in signal processing is the following theorem.

The identity is known as Moreau’s decomposition and instantiates into useful applications for variational analysis, convex optimization and signal processing. This post will explain the symbolic meaning and implication of this theorem for signal processing.