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Space decomposition

As before, the Neumann boundary conditions (5.37) and (5.38) enforce a function space decomposition based on the conditions... [Pg.302]

The product is considered nonhazardous for international transport purposes. However, it is an oxidizing agent sensitive to decomposition by water, direct sources of heat, catalysts, etc. Decomposition is accompanied by the Hberation of oxygen and heat which can support combustion and cause pressure bursts in confined spaces. Decomposition in the presence of organic material is rapid and highly exothermic. [Pg.92]

There exists a one-to-one correspondence between the structure of subspaces and the hierarchy of input space decompositions. This already... [Pg.176]

Step 3. Select a minimal space, Gq, and input space decomposition, /q. [Pg.178]

The real-space decomposition of the energy is in terms of u = r — r, the separation between points in the system [43]. We define the system- and... [Pg.10]

In this section, we discuss some of the many exact conditions that can be shown to be satisfied by all interacting electronic systems in their ground states. We look at both real space and momentum space decompositions of the exchange-correlation energy. In the following sections, we show how knowledge of these exact conditions has been vital to the construction and testing of approximate density functionals. [Pg.33]

We begin with some exact conditions on Exc based on its real space decomposition. We define the second order density matrix in terms of the wavefunction... [Pg.33]

HAZARD RISK Slight fire hazard may explode in confined space decomposition emits carbon monoxide, carbon dioxide, hydrogen chloride gas and phosgene gas NFPA Code H2 F 1 R0. [Pg.152]

Fig. 4 Comparison of the time-frequency space decomposition hr (a) linear filtering techniques and (h) multheale techniques. Fig. 4 Comparison of the time-frequency space decomposition hr (a) linear filtering techniques and (h) multheale techniques.
In our contribution, we address this aspect and describe numerical methods based on the use of efficient iterative solvers, which exploit the conjugate gradient (CG) method, its generalization and the space decomposition preconditioners. The efficiency of these solvers will be illustrated by the solution of elasticity and thermo-elasticity problems arising from the finite element analysis of selected benchmarks with computations performed on a PC cluster. The introduced ideas could be useful also for the solution of more complicated coupled problems. [Pg.395]

In Section 3, we discussed an acceleration of iterative solvers, now we shall touch the question of the choice of a suitable iterative methods and show that efficient methods can be found in the class of space decomposition - subspace conection methods, see Blaheta et. al. (2003). Remember that we are interested in the solution of linear systems with symmetric positive definite matrices and... [Pg.399]

Note that similar methods can be applied also to the solution of systems arising from the time-dependent heat conduction - convection problems. There are also other space decomposition methods. Let us mention the displacement decomposition technique for solving the elasticity problems and composite grid technique, for solving problems, which need a local resolution. More details can be found in Blaheta (2002) and Blaheta et al. (2002b). [Pg.400]

Blaheta, R., Byczanski, P., Jakl, O., Stary, J. 2003. Space decomposition preconditioners and their application in geomechanics. Mathematics and Computers in Simulation 61, pp. 409 - 420. [Pg.400]

Fault Trees and Reliability Block Diagrams are both methods of showing probability combinations. There have been a number of solution techniques developed to solve probability combinations. These include Cut Sets, Tie sets. Event Space, Decomposition Method, Gate Solution Method, and many others. In this appendix three examples will be shown - the Event Space method and the Cut Set method, and the Gate Solution Method. Details and full development of the methods can be found in (Ref. 1) Chapter 5. [Pg.257]

The main goal of a DMU is to achieve a usefid visualization of the product. In big and complex products a DMU is needed to analyze spaces where several assemblies for different functions coexist. For this reason is recommendahle to prefer a space decomposition of the product before a functional decomposition where assemblies that not necessarily have a functional relationship with each other will have a common parent node. [Pg.360]

Parker SM, Shiozaki T (2014) Active space decomposition with multiple sites density matrix renormalization group algorithm. J Chem Phys 141(21) 211102 and references Tapia O, Bertran J (eds) (2003) Solvent effects in chemical reactivity. Kluwer, New York... [Pg.98]

K. Khayati, P. Bigras and L.A. Dessaint, A Multistage Position/Foroe Control for Constrained Robotic Systems With Friction Joint-Space Decomposition, Linearization, and Multiobjective Observer/Controller Synthesis Using LMI Formalism, IEEE Trans, on Industrial Electronics, Vol. 53, No.5, (2006), pp.l698 - 1712. [Pg.43]


See other pages where Space decomposition is mentioned: [Pg.97]    [Pg.59]    [Pg.10]    [Pg.59]    [Pg.160]    [Pg.35]    [Pg.247]    [Pg.399]    [Pg.10]    [Pg.128]    [Pg.450]    [Pg.61]    [Pg.3634]    [Pg.692]    [Pg.695]    [Pg.275]   


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Space decomposition preconditioners

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