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Differential equations matrix

Although the mathematical methods in this book include algebra, calculus, differential equations, matrix, statistics, and numerical analyses, students with background in algebra and calculus alone are able to understand most of the contents. In addition, since simple models are presented before more complex models and additional parameters are added gradually, students should not worry about the difficulties in mathematics. [Pg.297]

CONSTANTTNIDEE, Applied Numerical Methods with Personal Computers, McGraw-Hill, 1987. Nonlinear regression, partial differential equations, matrix manipulations, and a more flexible program for simultaneous ODEs. [Pg.2]

For pesticide risk assessment, 3 major types of population models can be distinguished (Bartell et al. 2003) difference or differential equations, matrix models, and individual- or agent-based models. Within each type, further distinctions can be made, for example, regarding the inclusion of stochasticity or spatial effects. However, these distinctions are less fundamental than the choice of the model type itself. [Pg.46]

Written in matrix notation, the system of first-order differential equations, (A3.4.139) takes the fomi... [Pg.789]

As an example we take again the Lindemaim mechanism of imimolecular reactions. The system of differential equations is given by equation (A3.4.127T equation (A3.4.128 ) and equation (A3.4.129T The rate coefficient matrix is... [Pg.790]

Equation (B2.4.13) is a pair of first-order differential equations, so its fonnal solution is given by equation (B2.4.14)), in which exp() means the exponential of a matrix. [Pg.2096]

Hence, in order to contract extended BO approximated equations for an N-state coupled BO system that takes into account the non-adiabatic coupling terms, we have to solve N uncoupled differential equations, all related to the electronic ground state but with different eigenvalues of the non-adiabatic coupling matrix. These uncoupled equations can yield meaningful physical... [Pg.66]

In the work of King, Dupuis, and Rys [15,16], the mabix elements of the Coulomb interaction term in Gaussian basis set were evaluated by solving the differential equations satisfied by these matrix elements. Thus, the Coulomb matrix elements are expressed in the form of the Rys polynomials. The potential problem of this method is that to obtain the mabix elements of the higher derivatives of Coulomb interactions, we need to solve more complicated differential equations numerically. Great effort has to be taken to ensure that the differential equation solver can solve such differential equations stably, and to... [Pg.409]

Substitution of Eq. (12) into the Schrodinger equation leads to a system of coupled differential equations similai to Eq. (5), but with the following differences the potential matrix with elements... [Pg.558]

In Section V.B, we discussed to some extent the 3x3 adiabatic-to-diabatic transformation matrix A(= for a tri-state system. This matrix was expressed in terms of three (Euler-type) angles Y,y,r = 1,2,3 [see Eq. (81)], which fulfill a set of three coupled, first-order, differential equations [see Eq. (82)]. [Pg.729]

Stewart s argument provides a prescription for constructing a solution of equations (11.61) - (11.63) provided the matrix Is nonsingular for all relevant values of jc, and provided the differential equations (11.64) and (11.65) have solutions consistent with their boundary conditions. It is possible, in principle, to check the nonsingularity of for any... [Pg.143]

This can be written in the general form of a set of ordinary differential equations by defining the matrix AA. [Pg.479]

The equations set (8.1) may be eombined in matrix format. This results in the state veetor differential equation... [Pg.233]

An alternative procedure is the dynamic programming method of Bellman (1957) which is based on the principle of optimality and the imbedding approach. The principle of optimality yields the Hamilton-Jacobi partial differential equation, whose solution results in an optimal control policy. Euler-Lagrange and Pontrya-gin s equations are applicable to systems with non-linear, time-varying state equations and non-quadratic, time varying performance criteria. The Hamilton-Jacobi equation is usually solved for the important and special case of the linear time-invariant plant with quadratic performance criterion (called the performance index), which takes the form of the matrix Riccati (1724) equation. This produces an optimal control law as a linear function of the state vector components which is always stable, providing the system is controllable. [Pg.272]

Equation (9.23) belongs to a elass of non-linear differential equations known as the matrix Rieeati equations. The eoeffieients of P(t) are found by integration in reverse time starting with the boundary eondition... [Pg.276]

Symmetric angle-ply laminates were described in Section 4.3.2 and found to be characterized by a full matrix of extensional stiffnesses as well as bending stiffnesses (but of course no bending-extension coupling stiffnesses because of middle-surface symmetry). The new facet of this type of laminate as opposed to specially orthotropic laminates is the appearance of the bend-twist coupling stiffnesses D. g and D2g (the shear-extension coupling stiffnesses A. g and A2g do not affect the transverse deflection w when the laminate is symmetric). The governing differential equation of equilibrium is... [Pg.291]

Systems of reversible first-order reactions lead to sets of simultaneous linear differential equations with constant coefficients. A solution may be obtained by means of a matrix formulation that is widely used in quantum mechanics and vibrational... [Pg.90]

Finite element methods [20,21] have replaced finite difference methods in many fields, especially in the area of partial differential equations. With the finite element approach, the continuum is divided into a number of finite elements that are assumed to be joined by a discrete number of points along their boundaries. A function is chosen to represent the variation of the quantity over each element in terms of the value of the quantity at the boundary points. Therefore a set of simultaneous equations can be obtained that will produce a large, banded matrix. [Pg.91]

More often, however, s.a. methods are applied at the outset, with more or less arbitrary initial approximations, and without previous application of a direct method. Usually this is done if the matrix is extremely large and extremely sparse, which is most often true of the matrices that arise in the algebraic representation of a functional equation, especially a partial differential equation. The advantage is that storage requirements are much more modest for s.a. methods. [Pg.59]

Notice, by comparing (7-58) with (7-56), that the P( )-matrix develops in time in a manner different from that of b. This is also apparent when the differential equation controlling P(v) is compared with (7-49), which regulates b. For if we differentiate (7-57) we get... [Pg.413]

This system of differential equations can be written in matrix form as... [Pg.68]

This procedure would generate the density amplitudes for each n, and the density operator would follow as a sum over all the states initially populated. This does not however assure that the terms in the density operator will be orthonormal, which can complicate the calculation of expectation values. Orthonormality can be imposed during calculations by working with a basis set of N states collected in the Nxl row matrix (f) which includes states evolved from the initially populated states and other states chosen to describe the amplitudes over time, all forming an orthonormal set. Then in a matrix notation, (f) = (f)T (t), where the coefficients T form IxN column matrices, with ones or zeros as their elements at the initial time. They are chosen so that the square NxN matrix T(f) = [T (f)] is unitary, to satisfy orthonormality over time. Replacing the trial functions in the TDVP one obtains coupled differential equations in time for the coefficient matrices. [Pg.322]

The calculation of the density operators over time requires integration of the sets of coupled differential equations for the nuclear trajectories and for the density matrix in a chosen expansion basis set. The density matrix could arise from an expansion in many-electron states, or from the one-electron density operator in a basis set of orbitals for a given initial many-electron state a general case is considered here. The coupled equations are... [Pg.332]


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See also in sourсe #XX -- [ Pg.524 ]




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