The phrase "a general projection" is correct and usable in written English.
It can be used when discussing an estimate or forecast that applies broadly rather than specifically.
Example: "The report provides a general projection of economic growth over the next five years."
Alternatives: "a broad estimate" or "a general forecast".
For the operator equation (Au=g), a general projection method is generated by two subspace families ({V_{j}}) and ({Y_{j}}) of X.
A general projection method for the operator equation, is generated by two subspace families and of and the approximate solution is defined to be the solution of the following problem: (3.1).
As described above, the bundle adjustment procedure used here in conjunction with a general projection model for aligning the micrographs offers an effective solution to the problem as shown in Fig. 7.
A general projection method for the operator equation A f = g, A : X = L 2 ( R ) ↦ X = L 2 ( R ) is generated by two subspace families { V j } and { Y j } of X, and the approximate solution f j ∈ V j is defined to be the solution of the following problem: 〈 A f j, y 〉 = 〈 g, y 〉, ∀ y ∈ Y j, (2.1).
We start out with a general projection based idea for solving an eigenvalue problem of a 2 × 2 block matrix (1) A 0 x = (A E E † B ) (x 1 x 2 ) = λ (x 1 x 2 ).
with equality for p = n if and only if K is a simplex, for p > n if and only if K is a simplex and there exists x 0 ∈ K such that R p K = K − x 0. Compared to (1.13) and the Zhang projection inequality (1.5), inequality (1.13) may be regarded as a general Zhang projection inequality.
An existing neural network in the literature, called general projection neural network (GPNN) is investigated for this purpose.
We first propose the general projection gradient method for solving energy functional minimization problem under multiple constraints, in which the energy functional takes real functions as independent variables.
General projection radiography 12.3.
The radiology medical physics group represents experts in general projection radiography, mammography, diagnostic fluoroscopy, interventional radiology, computed tomography, magnetic resonance imaging, ultrasound imaging, and radiation protection.
In general, projection methods are iterative algorithms that use projections onto sets while relying on the general principle that when a family of (usually closed and convex) sets is present, then projections onto the given individual sets are easier to perform than projections onto other sets (intersections, image sets under some transformation, etc).
