distributed-parameter process
111NTFS — Developer Microsoft Full name New Technology File System[1] Introduced July 1993 (Windows NT 3.1) Partition identifier 0x07 (MBR) EBD0A0A2 B9E5 4433 87C0 68B6 …
112Linear least squares — is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to measurements obtained from experiments. The goals of linear least squares are to extract predictions from the… …
113Rotation matrix — In linear algebra, a rotation matrix is a matrix that is used to perform a rotation in Euclidean space. For example the matrix rotates points in the xy Cartesian plane counterclockwise through an angle θ about the origin of the Cartesian… …
114Long-range dependency — A self similar phenomenon behaves the same when viewed at different degrees of magnification, or different scales on a dimension (space or time). Self similar processes can be described using heavy tailed distributions, also known as long tailed… …
115evolution — evolutional, adj. evolutionally, adv. /ev euh looh sheuhn/ or, esp. Brit., /ee veuh /, n. 1. any process of formation or growth; development: the evolution of a language; the evolution of the airplane. 2. a product of such development; something… …
116steel — steellike, adj. /steel/, n. 1. any of various modified forms of iron, artificially produced, having a carbon content less than that of pig iron and more than that of wrought iron, and having qualities of hardness, elasticity, and strength varying …
117Network address translation — NAT redirects here. For other uses, see Nat (disambiguation). In computer networking, network address translation (NAT) is the process of modifying IP address information in IP packet headers while in transit across a traffic routing device. The… …
118OpenVZ — Developer(s) Community project, supported by Parallels Operating system Linux Platform …
119Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression …
120Gamma distribution — eta m = V {3m} e^{ xi m}. # If eta m > xi m^{delta 1} e^{ xi m}, then increment m and go to step 2. # Assume xi = xi m to be the realization of Gamma (delta, 1)Now, to summarize,: heta left( xi sum {i=1} ^{ [k] } {ln U i} ight) sim Gamma (k,… …
