Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Matrix for

Segmentation method based on the analysis by Co-Occurrence Matrix is developed. We try to increase the quality of the obtained results by means of the application of two dimensional (2D) processing. We use Co-Occurrence Matrix for ultrasonic image segmentation. This tool, introduced by Haralick (1), was selected for the present study as several general considerations were favourable ... [Pg.231]

The choice of the vector d is preponderant for the exploitation of co-occurrence matrix. For each image f several matrix can be calculated, it is imperative to restrain the analysis to significant matrix. [Pg.232]

The choice of the vector d is very important for the exploitation of cooccurrence matrix. For segmentation operation, d will be calculated with the result that could separate the noise of defects. We will have therefore to research transitions to frontiers, that is to say couples (i, j) such that i is an intensity linked to the noise and j an intensity linked to the defect. [Pg.234]

Moreover, we will write the density matrix for the system as... [Pg.230]

Marcus R A 1970 Extension of the WKB method to wave functions and transition probability amplitudes (S-matrix) for inelastic or reactive collisions Chem. Phys. Lett. 7 525-32... [Pg.1004]

From these equations one also finds the rate coefficient matrix for themial radiative transitions including absorption, induced and spontaneous emission in a themial radiation field following Planck s law [35] ... [Pg.1048]

For a coupled spin system, the matrix of the Liouvillian must be calculated in the basis set for the spin system. Usually this is a simple product basis, often called product operators, since the vectors in Liouville space are spm operators. The matrix elements can be calculated in various ways. The Liouvillian is the conmuitator with the Hamiltonian, so matrix elements can be calculated from the commutation rules of spin operators. Alternatively, the angular momentum properties of Liouville space can be used. In either case, the chemical shift temis are easily calculated, but the coupling temis (since they are products of operators) are more complex. In section B2.4.2.7. the Liouville matrix for the single-quantum transitions for an AB spin system is presented. [Pg.2099]

In tlie case of mutual AB exchange this matrix can be simplified. The equilibrium constant must be 1, so /r k . Also, is equal to Mg and vice versa, and the couplmg constant is the same. For instance, if L is the Liouville matrix for one site, then the Liouville matrix for the other site is P LP, where P is the matrix describing the pemuitation. [Pg.2102]

The exchange matrix, K, is just the rate, k, times the unit matrix. In block fonn, the full matrix for two sites is given in the eigenvalue equation, (B2.4.38). [Pg.2103]

Flead and Silva used occupation numbers obtained from a periodic FIF density matrix for the substrate to define localized orbitals in the chemisorption region, which then defines a cluster subspace on which to carry out FIF calculations [181]. Contributions from the surroundings also only come from the bare slab, as in the Green s matrix approach. Increases in computational power and improvements in minimization teclmiques have made it easier to obtain the electronic properties of adsorbates by supercell slab teclmiques, leading to the Green s fiinction methods becommg less popular [182]. [Pg.2226]

Figure B3.5.2. Example Z matrix for fliioroethylene. Notation for example, line 4 of the Z matrix means that a H atom is bonded to earbon atom Cl with bond length L3 (angstroms), making an angle with earbon atom... Figure B3.5.2. Example Z matrix for fliioroethylene. Notation for example, line 4 of the Z matrix means that a H atom is bonded to earbon atom Cl with bond length L3 (angstroms), making an angle with earbon atom...
Thus the transfonnation matrix for the gradient is the inverse transpose of that for the coordinates. In the case of transfonnation from Cartesian displacement coordmates (Ax) to internal coordinates (Aq), the transfonnation is singular becanse the internal coordinates do not specify the six translational and rotational degrees of freedom. One conld angment the internal coordinate set by the latter bnt a simpler approach is to rise the generalized inverse [58]... [Pg.2346]

It is important to note that the two surface calculations will be carried out in the diabatic representation. One can get the initial diabatic wave function matrix for the two surface calculations using the above adiabatic initial wave function by the following orthogonal transformation,... [Pg.47]

The effective potential matrix for nuclear motion, which is a diagonal matrix for the adiabatic electronic set, is given by... [Pg.145]

In this section, it was shown how an optimal ADT matrix for an n-electronic-state problem can be obtained. In Section in.D, an application of the method outlined above to a two-state problem for the H3 system is described. [Pg.196]

The ADT matrix for the lowest two electronic states of H3 has recently been obtained [55]. These states display a conical intersection at equilateral triangle geometi ies, but the GP effect can be easily built into the treatment of the reactive scattering equations. Since, for two electronic states, there is only one nonzero first-derivative coupling vector, w5 2 (Rl), we will refer to it in the rest of this... [Pg.197]

The elements of the matrix G can be written in terms of F, which is called the non-adiabatic coupling matrix. For a particular coordinate, a, and dropping the subscript for clarity,... [Pg.314]

This concludes our derivation regarding the adiabatic-to-diabatic tiansforma-tion matrix for a finite N. The same applies for an infinite Hilbert space (but finite M) if the coupling to the higher -states decays fast enough. [Pg.651]

The derivation of the D matrix for a given contour is based on first deriving the adiabatic-to-diabatic transformation matrix, A, as a function of s and then obtaining its value at the end of the arbitrary closed contours (when s becomes io). Since A is a real unitary matrix it can be expressed in terms of cosine and sine functions of given angles. First, we shall consider briefly the two special cases with M = 2 and 3. [Pg.658]

The implicit-midpoint (IM) scheme differs from IE above in that it is symmetric and symplectic. It is also special in the sense that the transformation matrix for the model linear problem is unitary, partitioning kinetic and potential-energy components identically. Like IE, IM is also A-stable. IM is (herefore a more reasonable candidate for integration of conservative systems, and several researchers have explored such applications [58, 59, 60, 61]. [Pg.241]

Table 6. Table showing the assignment of rows of the force matrix for 4 processors. [Pg.492]

Then the Huckel matrix for the conjugated i -system is constructed. The a-values of the Huckel matrix of each atom i of the conjugated system are adjusted to the <7-chaige distribution by Eq. (13). [Pg.333]

Th c Newton-Raph son block dingotial method is a second order optim izer. It calculates both the first and second derivatives of potential energy with respect to Cartesian coordinates. I hese derivatives provide information ahont both the slope and curvature of lh e poten tial en ergy surface, Un like a full Newton -Raph son method, the block diagonal algorilh m calculates the second derivative matrix for one atom at a lime, avoiding the second derivatives with respect to two atoms. [Pg.60]

The elenienis of the CXlDO/2 Fock matrix (for the RHFeasc i thus hccorn e... [Pg.274]

N() -e that the summations are over the N/2 occupied orbitals. Other properties can be cali ulated from the density matrix for example, the electronic energy is ... [Pg.79]

Distance matrix for eight ribose phosphate fragments. [Pg.510]


See other pages where Matrix for is mentioned: [Pg.235]    [Pg.233]    [Pg.459]    [Pg.979]    [Pg.1115]    [Pg.1375]    [Pg.2342]    [Pg.2788]    [Pg.297]    [Pg.299]    [Pg.700]    [Pg.711]    [Pg.378]    [Pg.22]    [Pg.29]    [Pg.164]    [Pg.285]    [Pg.286]    [Pg.289]    [Pg.290]    [Pg.445]    [Pg.544]    [Pg.546]   
See also in sourсe #XX -- [ Pg.83 , Pg.110 ]

See also in sourсe #XX -- [ Pg.30 ]




SEARCH



A few rules for matrix manipulation

A matrix basis for group algebras of symmetric groups

Adjacency Matrices and Their Eigenvalues for Toroidal Polyhexes

Algorithm for canonical incidence matrix construction

An Introduction to Matrix Formalism for Two Masses

Analytical procedures for animal matrices

Application as Matrix for Controlled Drug Release

Basis for a matrix

Calculations for N-Oriented Carbon Fibers in a PEEK Matrix

Composites matrix for

Computer Programs For Matrix Calculations

Correlation matrix for

Data matrix used for modelling

Electronic matrix elements for

Elimination for Different Representations of Dirac Matrices

Equation of motion for the density matrix

Examples for Jacobi matrices (thermal reactions)

Explicit Matrix Solution for Total Exchange Areas

Extraction Techniques for Concentration of Clinker Silicates and Matrix

Fiber for Reinforcement of Metal Matrices

Finite Matrix Methods for Dirac Hamiltonians

Formulas for Hamiltonian and Overlap Matrix Elements in the PPD Algorithm

Fuel Cell Membranes as Matrices for Aqueous Proton Transfer

Gel Matrices for Size Exclusion Chromatography

Hardening Agent for Rubber Matrix

Heatup paths matrices for

Jones Matrices for Simple Polarizing Elements

Jones Matrix Method for Propagation Through a Nematic Liquid Crystal Cell

Materials of construction Matrices for

Matrices for solving sets of linear equations

Matrix Deposition for High-Resolution Imaging

Matrix Materials for the Fabrication of Bulk and Nanocomposites

Matrix Methods for the One-Dimensional Eigenvalue Schrodinger Equation

Matrix elements for

Matrix elements for composite systems

Matrix for compounds

Matrix for risk management

Matrix metalloproteinase inhibitors, for

Matrix solution for simultaneous linear equations

Matrix, for FAB

Measurement Matrix for Index Properties

Metal or Csl Substrates for the Matrix

Methods for Estimating the Filler Effect on Polymer Matrices

Models for Protein Release from Matrices

Molecularly imprinted protein matrices for catalysis

Molecularly imprinted protein matrices for recognition and separation

NIST Analytical Approach for the Certification of Organic Constituents in Natural Matrix SRMs

Nematic Materials for Active Matrix Addressing

Notations for the Density Matrix and Its Subsets

Optimization of the Rubber Matrix Composition RubCon for Strength

Polymer Matrix for Nanocomposite

Polymers as Gene-Activated Matrices for Biomedical Applications

Polymers for Inert Matrices

Potential matrix elements for

Probability Matrix for

Probability Matrix for 1 PAM

Processes for Carbon Fibers in Thermoset Matrices

Product - process matrix for some polymers

Quasispin and isospin for relativistic matrix elements

Raman Scattering Jones Matrix for Oriented Systems

Recipes for Evaluation of Molecule-Fixed Angular Momentum Matrix Elements

Reduced density matrices for dissipative dynamics

Relationship between the Hessian and Covariance Matrix for Gaussian Random Variables

Risk matrix for qualitative judgments

Rules for Combining Matrices

Rules for matrix elements

S matrix for an isolated resonance

Sample Preparation for the Matrix Urine

Selected Topics in Matrix Operations and Numerical Methods for Solving Multivariable 15- 1 Storage of Large Sparse Matrices

Single contact calculations matrix for

Statistical weight matrix for

The Matrix for PAFCs

The density matrix for a pure system

Wicks Theorem for the Evaluation of Matrix Elements

Z-Matrix for a Diatomic Molecule

Z-Matrix for a Polyatomic Molecule

© 2024 chempedia.info