The phrase "an implementation matrix" is correct and usable in written English.
It can be used in contexts related to project management, software development, or strategic planning where a matrix is used to outline the implementation of various components or tasks.
Example: "The project manager presented an implementation matrix to clarify the roles and responsibilities of each team member."
Alternatives: "a deployment matrix" or "an execution matrix".
Need better implementation planning for a successful QP: Managing the complex interfaces required for the success of QP across varying interests (and abilities) of different stakeholders (especially parents and communities) needs a logical framework or result-based management approach culminating in a time-bound implementation matrix.
This document describes the Lambda loop transformation toolkit, an implementation of the non-singular matrix transformation theory, which can represent any linear one-to-one transformation.
Matrix-Matrix multiplications is the core of many important algorithms such as signal processing, scientific and engineering numerical, so it is substantial to accelerate implementation of matrix-matrix multiplications.
(1) X 1 X 2 ⊗ Y = X 1 ⊗ Y X 2 ⊗ Y (2) X ⊗ [ Y 1 Y 2 ] = [ (X ⊗ Y 1 ) (X ⊗ Y 2 ) ] (3) (X 1 ⊗ Y 1 ) ⊕ (X 2 ⊗ Y 2 ) = [ X 1 X 2 ] ⊗ Y 1 Y 2 Under the assumption that the operations ⊗ and ⊕ between two domain elements consume Θ(1) computation time, a straightforward implementation of a matrix multiplication between two n × n matrices can be computed in Θ(n) time.
A correct implementation requires a matrix collision operator for the magnetic distribution functions.
Recall that in [22], the protocol MP has been proved to be an efficient and verifiable outsource-secure implementation of matrix multiplication in the single cloud server model.
In this paper, we present the implementation of Matrix BackPropagation (MBP) using scalar, vector, and matrix Instruction Set Architectures (ISAs).
A simple matrix implementation for LM formation and a MATLAB based stable model extraction approach is proposed.
This paper proposes a fine-grained implementation of matrix-free Conjugate Gradient (CG) solver for Finite Element Analysis (FEA) using Graphics Processing Unit (GPU) architectures.
We will now present an efficient implementation of the matrix inversion in (103).
The TLISMNI method has desirable features that include avoiding numerical differentiation of the forces, allowing for an efficient sparse matrix implementation, and ensuring that the kinematic constraint equations are satisfied at the position, velocity and acceleration levels.
