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Elementary operators

The remaining step is to write down a general expression consisting of these elementary operators that reproduces an arbitrary computation, such as a summer... [Pg.675]

So the solution to the planning problem is now complete, and is given by the following sequence of elementary operations ... [Pg.56]

In principle, the task of solving a linear algebraic systems seems trivial, as with Gauss elimination a solution method exists which allows one to solve a problem of dimension N (i.e. N equations with N unknowns) at a cost of O(N ) elementary operations [85]. Such solution methods which, apart from roundoff errors and machine accuracy, produce an exact solution of an equation system after a predetermined number of operations, are called direct solvers. However, for problems related to the solution of partial differential equations, direct solvers are usually very inefficient Methods such as Gauss elimination do not exploit a special feature of the coefficient matrices of the corresponding linear systems, namely that most of the entries are zero. Such sparse matrices are characteristic of problems originating from the discretization of partial or ordinary differential equations. As an example, consider the discretization of the one-dimensional Poisson equation... [Pg.165]

The following illustrations are useful to describe very basic matrix operations. Discussions covering more advanced matrix operations will be included in later chapters, but for now, just review these elementary operations. [Pg.10]

To solve problems involving calibration equations using multivariate linear models, we need to be able to perform elementary operations on sets or systems of linear equations. So before using our newly discovered powers of matrix algebra, let us solve a problem using the algebra many of us learned very early in life. [Pg.12]

The elementary operations used for manipulating linear equations include three simple rules [1, 2] ... [Pg.12]

In this chapter, we have used elementary operations for linear equations to solve a problem. The three rules listed for these operations have a parallel set of three rules used for elementary matrix operations on linear equations. In our next chapter we will explore the rules for solving a system of linear equations by using matrix techniques. [Pg.15]

The historical development and elementary operating principles of lasers are briefly summarized. An overview of the characteristics and capabilities of various lasers is provided. Selected applications of lasers to spectroscopic and dynamical problems in chemistry, as well as the role of lasers as effectors of chemical reactivity, are discussed. Studies from these laboratories concerning time-resolved resonance Raman spectroscopy of electronically excited states of metal polypyridine complexes are presented, exemplifying applications of modern laser techniques to problems in inorganic chemistry. [Pg.454]

To specify the operations that can be performed on a piece of equipment technical functions have to be assigned and must be parameterized afterwards. Technical functions are elementary operations, for example charging, discharging, mixing, etc. [Pg.40]

Any matrix E obtained by performing a single elementary operation on the unit matrix I is known as an elementary matrix. [Pg.40]

The fast Fourier transform (FFT) requires 5N log N (Bergland, 1969) elementary arithmetic operations for an array of N samples. Computation of the convolution product requires three such transforms plus 4N elementary operations (N complex products) in the transform domain. [Pg.23]

Second Quantization 1. Fock space and elementary operators... [Pg.38]

To bring the vector space to live, we introduce some elementary operators, creation operators, through the definitions... [Pg.39]

The dependence of the used orbital basis is opposite in first and second quantization. In first quantization, the Slater determinants depend on the orbital basis and the operators are independent of the orbital basis. In the second quantization formalism, the occupation number vectors are basis vectors in a linear vector space and contain no reference to the orbitals basis. The reference to the orbital basis is made in the operators. The fact that the second quantization operators are projections on the orbital basis means that a second quantization operator times an occupation number vector is a new vector in the Fock space. In first quantization an operator times a Slater determinant can normally not be expanded as a sum of Slater determinants. In first quantization we work directly with matrix elements. The second quantization formalism represents operators and wave functions in a symmetric way both are expressed in terms of elementary operators. This... [Pg.54]

The E operators are the elementary operators, the generators, in unitary group theory. Below we give some commutator relations between E operators, e operators, creation and annihilation operators that are important for developing a good strategy for evaluating many of the quantities that show up in the later derivation. [Pg.68]

Transcendental functions are mathematical functions which cannot be specified in terms of a simple algebraic expression involving a finite number of elementary operations (+,... [Pg.46]

Molecular devices have been defined as structurally organized and functionally integrated chemical systems they are based on specific components arranged in a suitable manner, and may be built into supramolecular architectures [1.7,1.9]. The function performed by a device results from the integration of the elementary operations executed by the components. One may speak of photonic, electronic or ionic devices depending on whether the components are respectively photoactive electroactive or ionoactive, i.e., whether they operate with (accept or donate) photons, electrons, or ions. This defines fields of molecular and supramolecular photonics, electronics and ionics. [Pg.89]

Heterogeneity could also be expressed and described by elementary operations with empirical models. The only difference between (7.1) and (7.2) lies in the coefficient of c (t) on the right-hand side of the differential equations. This allows someone to infer empirically that these equations could be unified as... [Pg.177]

The central processing unit (CPU), controlled by a computer "clock," fetches instructions and data from memory, and executes add, multiply, bit-compare, skip-to-new-address, and other elementary operations, "mails" the results back into memory, and prepares for the next instruction. The CPU is truly the "heart" of the computer. [Pg.554]

On the basis of our own informal observations and discussions in process control rooms, e.g. Van dcr Schaaf (1989), and the classical literature on operator tasks (Grossman, 1974) the following set of elementary operator requirements in order to carry out. process control tasks correctly, has been identified ... [Pg.44]

Can you show by elementary operations that the matrix is of full rank, hence the three component mass balances are independent ... [Pg.33]

In the present case p indicates the maximum number of distinguishable topologies. Taking the operations required to form a semi-IPN, which specifies one linear and one crosslinked polymer, we have three elementary operations, P, G, and C, and m, which sometimes bears characteristics of an operation (p) two species, polymer 1 and polymer 2, (independent degree of freedom, (K). Specification of one of the polymer structures (x.e., crosslinked) specifies the other. This predicts ... [Pg.179]

In obtaining equation (47), use is made of the fact that r, x, and v are all independent variables in order to bring Pi nr inside the x and v derivatives. The divergence theorem and the fact that / = 0 when v v are then used to show that the last term in equation (2) vanishes when integrated over V. The relationship j /dv = G, which follows from equation (44), is next employed in the other two terms. The first term is then integrated by parts (with respect to r), after which use is made of the fact that nr PiRG approaches zero as r 0 and as r oo. These are the kinds of elementary operations... [Pg.464]

Practically every scientist must, with greater or lesser frequency, use laboratory glassware. Most have attempted at least some of the elementary operations of glassworking. Both experiences lead him to an awareness of those qualities of glass which, on the one hand, place at his disposal artefacts combining indispensable utility with considerable aesthetic appeal, and, on the other, require for the fabrication of these tools the skill of the craftsman fashioning an intractable material. The nature of this craft is such that nothing will replace the relationship of... [Pg.142]

The essence of the Gauss-Jordan method is to transform Eq. (L.3) into Eq. (L.4) by sequential nonunique elementary operations on Eq. (L.3) ... [Pg.705]


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Difference approximation of elementary differential operators

Elementary Matrix Operations

Elementary Operations and Properties of Matrices

Elementary operations

Elementary operations

Elementary row operations

Exponential unitary transformations of the elementary operators

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