A **Feedback Arc Set** (FAS) is a concept in graph theory that refers to a specific type of subset of edges in a directed graph (digraph). The purpose of a feedback arc set is to eliminate cycles in the graph. More formally, a feedback arc set of a directed graph is a set of edges such that, when these edges are removed, the resulting graph becomes acyclic (i.e., it contains no cycles).

Masayoshi Tomizuka is a prominent figure in the field of engineering, particularly known for his work in control systems and robotics. He is a professor at the University of California, Berkeley, and has made significant contributions to areas such as adaptive control, estimation theory, and the development of algorithms for robotics and automation. His research often focuses on improving the performance of dynamic systems and addressing challenges in real-time control.

Once upon a time, when Ciro Santilli had a job, he had a programming problem.

A senior developer came over, and rather than trying to run and modify the code like an idiot, which is what Ciro Santilli usually does (see also experimentalism remarks at Section "Ciro Santilli's bad old event memory"), he just stared at the code for about 10 minutes.

We knew that the problem was likely in a particular function, but it was really hard to see why things were going wrong.

After the 10 minutes of examining every line in minute detail, he said:and truly, that was the cause.

And so, Ciro was enlightened.

A **Connected Dominating Set (CDS)** is a concept from graph theory, particularly in the study of network design and communication networks. It consists of a subset of vertices (nodes) in a graph that satisfies two main properties: 1. **Dominating Set**: The subset of vertices \( S \) is a dominating set, which means that every vertex not in \( S \) is adjacent to at least one vertex in \( S \).

Correlation clustering is a type of clustering algorithm used to group a set of objects based on the correlations among the objects rather than traditional distance measures. Unlike typical clustering methods, which often rely on distance metrics (like Euclidean distance), correlation clustering focuses on maximizing the number of pairs of similar items within the same cluster while minimizing the pairs of dissimilar items in the same cluster.

In graph theory, an **edge cover** of a graph is a set of edges such that every vertex of the graph is incident to at least one edge in the set. In other words, an edge cover is a collection of edges that "covers" all vertices in the graph.

The Hamiltonian cycle polynomial, often referred to in the context of graph theory, is a polynomial associated with a graph that encodes information about the Hamiltonian cycles of that graph. A Hamiltonian cycle is a cycle that visits every vertex in the graph exactly once and returns to the starting vertex. To define the Hamiltonian cycle polynomial for a graph \(G\), we denote it as \(H(G, x, y)\).

A Hamiltonian path in a graph is a path that visits each vertex exactly once. If a Hamiltonian path exists that also returns to the starting vertex, forming a cycle, it is called a Hamiltonian cycle (or Hamiltonian circuit). Finding Hamiltonian paths and cycles is a well-known problem in graph theory and is closely related to many important problems in computer science, including the Traveling Salesman Problem (TSP).

Henri Bortoft was a British philosopher and researcher known for his work in the fields of philosophy of science, systems theory, and research methodology. He is particularly associated with the development of a holistic approach to understanding complex systems and phenomena. Bortoft emphasized the importance of viewing the whole rather than just the individual parts when studying systems. One of his notable contributions was his exploration of the concept of "wholeness," which he differentiated from merely aggregating parts.

Instant Insanity is a popular puzzle game that involves four cubes, each with faces of different colors. The objective of the game is to stack the cubes in such a way that no two adjacent sides have the same color when viewed from any angle. Each cube has six faces, and each face is painted in one of four colors. The challenge lies in the fact that the cubes can be rotated and positioned in various orientations, making it tricky to find a configuration that meets the color adjacency requirement.

The Maximum Common Edge Subgraph (MCES) is a concept from graph theory, specifically in the context of comparing two undirected graphs. The goal of the MCES is to identify a subgraph that maximizes the number of edges that are common to both input graphs.

The Mixed Chinese Postman Problem (MCPP) is a variation of the Chinese Postman Problem (CPP), a classical problem in graph theory. The problem involves finding a shortest closed tour (a circuit) that traverses every edge of a graph at least once. The mixed version of this problem includes both directed and undirected edges in the graph. ### Definitions: 1. **Graph Types**: - **Undirected Edges**: Edges where the order of traversal does not matter.

Planarity testing is a computational problem in graph theory that involves determining whether a given graph can be drawn on a plane without any of its edges crossing. A graph is said to be planar if it can be represented in such a way that no two edges intersect except at their endpoints (i.e., at the vertices). The significance of planar graphs lies in various applications across computer science, geography, and network design, among other fields.

Radio coloring is a concept from discrete mathematics and graph theory. It is a way of assigning colors to the vertices of a graph such that certain distance constraints are met. Specifically, in radio coloring, each vertex \( v \) in a graph is assigned a color, which is usually represented as a non-negative integer. The key aspect of radio coloring is that the difference between the colors assigned to two vertices must be at least the distance between those vertices.

A **spanning tree** is a concept from graph theory and is particularly important in the field of computer science, networking, and related disciplines. Here’s a breakdown of the concept: 1. **Definition**: A spanning tree of a graph is a subgraph that includes all the vertices of the original graph and is connected, without any cycles. This means it is a tree structure that spans all the vertices in the graph.

Milič Čapek is a Czech-born artist known for his contributions to the fields of painting and illustration. His work often encompasses a blend of traditional techniques and modern influences, reflecting a unique style that has resonated both in his native country and internationally. In addition to his visual art, Čapek may also be involved in other creative endeavors such as graphic design or education, although specifics about his career or achievements might require further detailed research depending on the context or latest developments.

In graph theory, a **vertex cover** of a graph is a set of vertices such that every edge in the graph is incident to at least one vertex from this set. In simpler terms, for every edge that connects two vertices, at least one of those vertices must be included in the vertex cover. The concept of a vertex cover is important in various areas of computer science, including optimization, network theory, and computational biology.