Maths AI terms: K

3 of the Maths AI glossary’s terms, each with the part of the syllabus where you first meet it.

K

Key featurealso key features, features of a graph, important features: A point, line or behaviour of a graph that describes the function and must be labelled on a sketch, such as an intercept, a maximum or minimum point, an asymptote, a point of intersection or an end point of the domain.
Introduced in 2.3 Graphing functions with technology
KinematicsHL only · also kinematic, vector kinematics: The branch of mechanics that describes the motion of objects (their position, velocity and acceleration) without considering the forces that cause the motion.
Introduced in 3.12 Vectors in kinematics
Kruskal's algorithmHL only · also Kruskal, Kruskal's: A method for finding a minimum spanning tree by repeatedly choosing the edge of least weight that does not form a cycle with the edges already chosen, until $n - 1$ edges have been chosen.
Introduced in 3.16 Tree and cycle algorithms

Key featurealso key features, features of a graph, important features

A point, line or behaviour of a graph that describes the function and must be labelled on a sketch, such as an intercept, a maximum or minimum point, an asymptote, a point of intersection or an end point of the domain.

Introduced in 2.3 Graphing functions with technology

KinematicsHL only · also kinematic, vector kinematics

The branch of mechanics that describes the motion of objects (their position, velocity and acceleration) without considering the forces that cause the motion.

Introduced in 3.12 Vectors in kinematics

Kruskal's algorithmHL only · also Kruskal, Kruskal's

A method for finding a minimum spanning tree by repeatedly choosing the edge of least weight that does not form a cycle with the edges already chosen, until $n - 1$ edges have been chosen.

Introduced in 3.16 Tree and cycle algorithms