SMA* (Simplified Memory-Based A*) is an algorithm used in artificial intelligence, particularly in the field of search and pathfinding. It's a variant of the A* algorithm designed to handle problems with large memory requirements by using a simplified approach to manage and simplify the search space. The main idea behind SMA* is to keep track of the best paths while enforcing a limit on the memory used.

As of my last knowledge update in October 2021, there isn't a widely recognized figure or concept called "Alison Marr." It's possible that it could refer to a private individual, a local business, or something that has emerged after that date.

The Traveling Salesman Problem (TSP) is a classic optimization problem in combinatorial optimization and operations research. It can be described as follows: A salesman needs to visit a set of cities exactly once and then return to the original city. The objective is to find the shortest possible route that allows the salesman to visit each city once and return to the starting point. The problem is typically represented as a graph, where cities are nodes and edges represent the distances (or costs) between them.

List edge-coloring is a variation of the standard edge-coloring problem in graph theory, where each edge of a graph has a list of allowable colors from which it can be colored. The objective in list edge-coloring is to assign colors to the edges of the graph in such a way that: 1. No two adjacent edges (i.e., edges that share a common vertex) have the same color. 2. Each edge is colored using a color from its own list of allowable colors.

A Wiener connector, or Wiener filtering, is a statistical technique used in signal processing and various fields such as telecommunications, image processing, and control systems. It is designed to optimally filter a noisy signal to recover the original signal. The basic idea is to minimize the mean square error between the estimated signal and the true signal. The Wiener filter operates in the frequency domain and is particularly effective when the noise properties are known and the signal is stationary.

A uniquely colorable graph is a type of graph in graph theory that can be colored in such a way that there is only one valid coloring that satisfies a given set of constraints. Specifically, a graph is uniquely colorable if there is a proper vertex coloring (where no two adjacent vertices share the same color) that can be achieved using a specific set of colors, and there are no other configurations that yield a valid coloring with the same constraints.

The Earth–Moon problem refers to the study of the dynamical system that describes the gravitational interactions between the Earth and the Moon. This problem is part of celestial mechanics, which deals with the motion of celestial bodies under the influence of gravitational forces. In the context of the Earth-Moon problem, the main focus is on understanding the orbital characteristics, such as the Moon's orbit around the Earth, the variations in this orbit, and how gravitational interactions affect both bodies.

A **Kempe chain** is a concept used in the context of graph theory, specifically in the study of coloring problems and algorithms for graph coloring. Named after the mathematician J. H. Kempe, Kempe chains are useful in various applications, including the proof of the four-color theorem and in designing efficient algorithms for graph coloring. ### Definition A Kempe chain is defined as a connected sequence of vertices that alternate between two colors in a proper vertex coloring of a graph.

A monochromatic triangle is a term commonly used in the context of combinatorics and Ramsey theory. It refers to a triangle formed by points that are all the same color within a given coloring of a set of points. For instance, if you have a set of points in a plane, you might color each point either red or blue. A monochromatic triangle would be a triangle whose vertices are all points of the same color, either all red or all blue.

A Shift Graph is typically a graphical representation used to visualize the relationship between different variables over time, particularly in contexts where data is collected in a sequential manner or over discrete intervals (or "shifts"). Here are some contexts where "Shift Graph" might be used: 1. **Workforce Management**: In human resource management, a Shift Graph may represent employee shift schedules, showing when employees are working and when they are off duty. This can help in optimizing staff allocations and monitoring workload balance.

A trivially perfect graph is a special type of graph characterized by its cliques and independent sets. Specifically, a graph \( G \) is defined as trivially perfect if every induced subgraph of \( G \) has a clique that is also a maximum independent set.

Parametric families of graphs refer to a collection of graphs defined by one or more parameters that can take on different values. These parameters can dictate various properties of the graphs, such as their structure, size, or constraints. Parametric families are useful in combinatorics, graph theory, and algorithm design because they allow researchers and practitioners to analyze a broad class of graphs simultaneously and to derive general results or algorithms that apply to all graphs within the family.

In graph theory, a **tree** is a type of graph that has specific properties. Here are the key characteristics that define a tree: 1. **Acyclic**: A tree is acyclic, meaning it does not contain any cycles. In other words, there is no way to start at one vertex, travel along the edges, and return to the same vertex without retracing steps.

A **cactus graph** is a special type of graph in graph theory with a specific structural property. A cactus graph is defined as a connected graph in which any two cycles have at most one vertex in common. In simpler terms, while a cactus can have multiple cycles, these cycles cannot intersect in more than one vertex, meaning that their intersections (if any) do not create complex overlapping structures.

A comparability graph is a type of graph that arises in the field of graph theory, specifically in the study of ordered sets (partially ordered sets or posets). In a comparability graph, the vertices represent elements of a partially ordered set, and there is an edge between two vertices if and only if the corresponding elements are comparable in the poset. This means one element is either less than or greater than the other according to the ordering.

A **dense graph** is a type of graph in which the number of edges is close to the maximal number of edges that can exist between the vertices. More formally, a graph is considered dense if the ratio of the number of edges \( E \) to the number of vertices \( V \) squared, \( \frac{E}{V^2} \), is relatively large.

A **dually chordal graph** is a type of graph that has specific structural properties related to both its vertices and cycles. The term "dually chordal" arises in the context of vertex or edge properties. 1. **Chordal Graph**: - A graph is called **chordal** if every cycle of length four or more has a chord. A chord is an edge that is not part of the cycle but connects two vertices of the cycle.

In the context of mathematical logic and set theory, particularly in the area of model theory and set-theoretic topology, a **forcing graph** is not a standard term. However, it may refer to concepts related to forcing conditions in the context of set theory. **Forcing** is a technique introduced by Paul Cohen in the 1960s.

A scale-free network is a type of network characterized by a particular property in its degree distribution. In such networks, the distribution of connections (or edges) among the nodes follows a power law, which means that a few nodes (often referred to as "hubs") have a very high number of connections, while the majority of nodes have relatively few connections.

In graph theory, a modular graph is a concept related to the idea of module or modularity in the context of substructures of a graph. The term "modular graph" can sometimes be used in discussions of modular decomposition, which is a technique for breaking down a graph into simpler components based on the concept of modules.