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Matrix transform

Silicon may be present in high-chromium irons in amounts varying between 0-5 and 2-5%. Its effect is to increase fluidity in the foundry and improve the surface quality of castings. Further effects are to refine the eutectic carbides in the iron, to produce a more uniform structure and to raise the temperature at which the matrix transforms from ferrite to austenite with consequent dimensional changes. Additions above 2-5% have an embrittling effect. [Pg.612]

Thih result shows that the tnatrix (SRS 1) in the new basis corresponds to R (he original one. The relation between them is a similarity transformation (see Section 7.10). It is now necessary to demonstrate that the character of a matrix transformation is invariant under a similarity transformation. [Pg.313]

The n x n hat matrix transforms the vector of the measured y-values to the vector of the estimated-values. An element h,j of the hat matrix is calculated... [Pg.189]

For orientation measurements, this tensor also needs to be expressed in the coordinate system OXYZ, axrz, using the matrix transformation u.xyz = Oaxyz / where O is a matrix whose elements are the direction cosines of the coordinate axes and is its transposed matrix [44]. [Pg.314]

Thus B is a diagonal matrix that contains in its diagonal (complex) numbers whose norm is 1 (this derivation holds as long as the adiabatic potentials are nondegenerate along the path T). From Eq. (31), we obtain that the B-matrix transforms the A-matrix from its initial value to its final value while tracing a closed contour ... [Pg.778]

Furthermore, under symplectic transformations, it is relatively easy to show, using the Hessian formula for calculating the Fisher information matrix, that the measurement covariance matrix transforms as... [Pg.280]

The above matrix transformation combines the following electronic and geometric relations ... [Pg.460]

R. DiFoggio, Desensitizing models using covariance matrix transforms or counter-balanced distortions, J. Chemom., 19, 203 (2005). [Pg.436]

The coefBcients form a unitary matrix transforming d-orbitals from the GCF to the DCF. Then, introducing the quantities ... [Pg.484]

Let us discuss an L matrix transformation for isothermal and isobaric atomic fluxes when there is one additional electronic species present. We start with the flux equations in which the index j denotes the atomic species and e denotes the electric charge carriers (eg., electrons). [Pg.65]

Thus, generally, two matrix transformation algorithms are required, one for B stored triangularly (Ti=r2) and one for B stored rectangularly The transformation could be written as a double sum... [Pg.47]

Note that the density matrix transforms contragrediently to operator matrices. [Pg.131]

This operator matrix transforms as the a th row of the representation a( 0. We can therefore immediately use the analysis for non-totally symmetric operators to devise a skeleton symmetrization scheme based on the P4 list. The only problem is that the form of V shown is not invariant under the index permutations of T4, but the form... [Pg.133]

It is widely accepted that the basis functions used in ZDO --electron theoryi (which I will write for clarity xZD0) are related to ordinary 2pn atomic orbital) (which I will write xA) by the matrix transformation, a... [Pg.144]

The classic technique to determine dimensionless numbers, described above, is cumbersome to use in cases where the list of related physical quantities becomes large. Pawlowski [8] developed a matrix transformation technique that offers a systematic approach to the generation of II-sets. [Pg.174]

To demonstrate Pawlowski s matrix transformation technique, an example will be used in which a forced convection problem, where a fluid with a viscosity p, a density p, a specific heat Cp and a thermal conductivity k, is forced past a surface with a characteristic size D at an average speed u. The temperature difference between the fluid and the surface is described by AT = Tf — Ts and the resulting heat transfer coefficient is defined by h. [Pg.178]


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Adiabatic-to-diabatic transformation diabatization matrix

Adiabatic-to-diabatic transformation matrix

Adiabatic-to-diabatic transformation matrix quantization

Collision angles and the transformation matrix

Density matrix transformations

Determining the transformation matrix

Dimensional Analysis by Matrix Transformation

Fourier transform infrared matrices

Frequency-dependent parameters transformation matrix

Hamiltonian matrix transformation

Homogeneous transformation matrices

Image Transformation matrix

Jacobian matrix, transformation

Laplace transformation density matrix

Linear Operators and Transformation Matrices

Matrices large-small transformation

Matrices large-small transformation, atomic

Matrix Form of Tensor Transformations

Matrix Fourier-transform

Matrix exponential by the Laplace transform method

Matrix transformation

Matrix transformation

Matrix transformation elementary

Matrix transformation elementary similarity

Matrix-assisted laser desorption ionization Fourier transform mass spectrometry

Matrix-assisted laser desorption/ionization Fourier transform

Mixture-fraction vector transformation matrix

Modal distribution transformation matrix

Molecular systems transformation matrices

Normal coordinate transformation matrix

Orthogonal transformation matrix

Relaxed Fragment Transformation of Reactant Hardness Matrix

Rotation-reflection transformation matrices

Similarity transformation matrix

Similarity transformation similar matrices

Strain transformation matrix

Stress transformation matrix

Tensor transformation matrix

Three-state molecular system, non-adiabatic transformation matrices

Three-state system transformation matrices

Time response transformation matrix

Transformation matrices linear algebra

Transformation matrix Determinant

Transformation matrix inverse

Transformation of matrices

Two-state molecular system, non-adiabatic transformation matrices

Unitary transformation matrices

Voltage transformation matrix

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