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The spiral model is a risk-driven software development process model. Based on the unique risk patterns of a given project, the spiral model guides a team to adopt elements of one or more process models, such as incremental , waterfall , or evolutionary prototyping .
The scale-invariant feature operator (SFOP) is based on two theoretical concepts: spiral model [2] feature operator [3] Desired properties of keypoint detectors: Invariance and repeatability for object recognition; Accuracy to support camera calibration; Interpretability: Especially corners and circles, should be part of the detected keypoints ...
The + and invariants keep track of how curves change under these transformations and deformations. The + invariant increases by 2 when a direct self-tangency move creates new self-intersection points (and decreases by 2 when such points are eliminated), while decreases by 2 when an inverse self-tangency move creates new intersections (and increases by 2 when they are eliminated).
Scale-invariant QFTs are almost always invariant under the full conformal symmetry, and the study of such QFTs is conformal field theory (CFT). Operators in a CFT have a well-defined scaling dimension, analogous to the scaling dimension, ∆, of a classical field discussed above. However, the scaling dimensions of operators in a CFT typically ...
Spiral Optimization (SPO) algorithm. The SPO algorithm is a multipoint search algorithm that has no objective function gradient, which uses multiple spiral models that can be described as deterministic dynamical systems. As search points follow logarithmic spiral trajectories towards the common center, defined as the current best point, better ...
Fermat's spiral: a>0, one branch = + Fermat's spiral, both branches. A Fermat's spiral or parabolic spiral is a plane curve with the property that the area between any two consecutive full turns around the spiral is invariant.
Such models assist in controlling for omitted variable bias due to unobserved heterogeneity when this heterogeneity is constant over time. This heterogeneity can be removed from the data through differencing, for example by subtracting the group-level average over time, or by taking a first difference which will remove any time invariant components of the model.
The spiral model identifies the next step in reasoning about states' behavior after identifying the intensity of the security dilemma. In particular, under given circumstances of the security dilemma, what steps might a threatened state take to derive advantage by attacking first. In other words, the spiral model seeks to explain war.