multidimensional phase space
1phase space — noun (physics) an ideal space in which the coordinate dimensions represent the variables that are required to describe a system or substance a multidimensional phase space • Topics: ↑physics, ↑natural philosophy • Hypernyms: ↑space, ↑infinite …
2Phase space — In mathematics and physics, a phase space, introduced by Willard Gibbs in 1901, is a space in which all possible states of a system are represented, with each possible state of the system corresponding to one unique point in the phase space. For… …
3phase space — noun Physics a multidimensional space in which the axes correspond to the coordinates required to specify any state of a system …
4Scale space implementation — Scale space Scale space axioms Scale space implementation Feature detection Edge detection Blob detection Corner detection …
5attracter — noun 1. an entertainer who attracts large audiences he was the biggest drawing card they had • Syn: ↑drawing card, ↑draw, ↑attraction, ↑attractor • Derivationally related forms: ↑attract ( …
6attractor — noun 1. an entertainer who attracts large audiences he was the biggest drawing card they had • Syn: ↑drawing card, ↑draw, ↑attraction, ↑attracter • Derivationally related forms: ↑attract ( …
7Dynamical system — This article is about the general aspects of dynamical systems. For technical details, see Dynamical system (definition). For the study, see Dynamical systems theory. Dynamical redirects here. For other uses, see Dynamics (disambiguation). The… …
8Newtonian dynamics — In physics, the Newtonian dynamics is understood as the dynamics of a particle or a small body according to Newton s laws of motion. Contents 1 Mathematical generalizations 2 Newton s second law in a multidimensional space 3 Euclidean structure …
9analysis — /euh nal euh sis/, n., pl. analyses / seez /. 1. the separating of any material or abstract entity into its constituent elements (opposed to synthesis). 2. this process as a method of studying the nature of something or of determining its… …
10K-nearest neighbor algorithm — In pattern recognition, the k nearest neighbor algorithm ( k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance based learning, or lazy learning where the function is only… …
