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Mixed nonlinear

Hou, L. and Nassehi, V., 2001. Evaluation of stress - effective flow in rubber mixing. Nonlinear Anal. 47, 1809-1820. [Pg.189]

Then the boundary condition on YsjH4 can be derived by equating the flux as calculated from continuum arguments to the flux, as computed from kinetic theory. The result is a mixed, nonlinear boundary condition involving YsiH4 ar,d dYsiH4- From this, we can evaluate the rate at which a silicon film will grow on the hot wall. [Pg.22]

Fletcher R. and Leyffer S. 1994. Solving mixed nonlinear programs by outer approximation. Math. Program., 66(3), 327-349. [Pg.320]

The nonlinear optical teclmiques of up- and down-conversion are based on mixing optical beams in a suitable crystal (BBO, LiNbO, KDP, etc) witli tire generation of new optical frequencies tire physical principle is as follows. If two beams having optical frequencies cOp CO2 and wavevectors k, are mixed in a nonlinear optical crystal at tire appropriate angle, a new optical frequency co can be coherently generated witli tire following conditions satisfied ... [Pg.3029]

In molecular dynamics applications there is a growing interest in mixed quantum-classical models various kinds of which have been proposed in the current literature. We will concentrate on two of these models the adiabatic or time-dependent Born-Oppenheimer (BO) model, [8, 13], and the so-called QCMD model. Both models describe most atoms of the molecular system by the means of classical mechanics but an important, small portion of the system by the means of a wavefunction. In the BO model this wavefunction is adiabatically coupled to the classical motion while the QCMD model consists of a singularly perturbed Schrddinger equation nonlinearly coupled to classical Newtonian equations, 2.2. [Pg.380]

The choice of (p strongly influences the mixing of frequencies by the nonlinearity. Two possible choices are... [Pg.423]

In the field of chemical sensors, the revolution in software and inexpensive hardware means that not only nonlinear chemical responses can be tolerated, but incomplete selectivity to a variety of chemical species can also be handled. Arrays of imperfectly selective sensors can be used in conjunction with pattern recognition algorithms to sort out classes of chemical compounds and thek concentrations when the latter are mixed together. [Pg.389]

Another widely studied phenomenon in alkah borate glasses is the mixed alkah effect, the nonlinear change in glass properties when a second kind of alkah oxide is added into the single-alkali glass. Models have been suggested to explain the mixed alkah effect (144), but a universally accepted model has not been developed as of this writing. [Pg.208]

The cadmium chalcogenide semiconductors (qv) have found numerous appHcations ranging from rectifiers to photoconductive detectors in smoke alarms. Many Cd compounds, eg, sulfide, tungstate, selenide, teUuride, and oxide, are used as phosphors in luminescent screens and scintiUation counters. Glass colored with cadmium sulfoselenides is used as a color filter in spectroscopy and has recently attracted attention as a third-order, nonlinear optical switching material (see Nonlinear optical materials). DiaLkylcadmium compounds are polymerization catalysts for production of poly(vinyl chloride) (PVC), poly(vinyl acetate) (PVA), and poly(methyl methacrylate) (PMMA). Mixed with TiCl, they catalyze the polymerization of ethylene and propylene. [Pg.392]

It is likely that there will always be a distinction between the way CAD/CAM is used in mechanical design and the way it is used in the chemical process industry. Most of the computations requited in mechanical design involve systems of linear or lineatizable equations, usually describing forces and positions. The calculations requited to model molecular motion or to describe the sequence of unit operations in a process flow sheet are often highly nonlinear and involve systems of mixed forms of equations. Since the natures of the computational problems are quite different, it is most likely that graphic techniques will continue to be used more to display results than to create them. [Pg.68]

The best way to approach the retrofit synthesis of the heat-exchanger network is to model all five tasks simultaneously. A mixed-integer nonlinear programming model is usually formulated to accomplish this goal. [Pg.81]

Floudas, C. A. (1995). Nonlinear and mixed integer optimization Fundamentals and applications. Oxford Univ. Press, New York. [Pg.14]

Achenie, L., and Duvedi, A. (1996). A Mixed Integer Nonlinear Programming Modle for the Design of Refrigerant Mixtures, AJChE Annual Meeting, San Francisco. [Pg.261]

However, in most cases the AW(D) dependencies are distinctly nonlinear (Fig. 9), which gives impulse to further speculations. Clearly, dependencies of this type can result only from mutual suppression of the hydrogel particles because of their nonuniform distribution over the pores as well as from the presence of a distribution with respect to pore size which does not coincide with the size distribution of the SAH swollen particles. A considerable loss in swelling followed from the W(D) dependencies, as shown in Fig. 9, need a serious analysis which most probably would lead to the necessity of correlating the hydrogel particle sizes with those of the soil pores as well as choice of the technique of the SAH mixing with the soil. Attempts to create the appropriate mathematical model have failed, for they do not give adequate results. [Pg.129]

Hicks (H6) and Frazer and Hicks (F3) considered the ignition model in which exothermic, exponentially temperature-dependent reactions occur within the solid phase. Assuming a uniformly mixed solid phase, the one-dimensional unsteady heat-flow equation relates the propellant temperature, depth from the surface, and time by the nonlinear equation ... [Pg.9]


See other pages where Mixed nonlinear is mentioned: [Pg.3083]    [Pg.124]    [Pg.326]    [Pg.3083]    [Pg.124]    [Pg.326]    [Pg.181]    [Pg.1273]    [Pg.1294]    [Pg.2444]    [Pg.136]    [Pg.187]    [Pg.329]    [Pg.134]    [Pg.444]    [Pg.313]    [Pg.318]    [Pg.381]    [Pg.338]    [Pg.82]    [Pg.400]    [Pg.233]    [Pg.1338]    [Pg.5]    [Pg.52]    [Pg.231]    [Pg.4]    [Pg.6]    [Pg.160]    [Pg.293]    [Pg.311]    [Pg.1083]    [Pg.281]    [Pg.222]   
See also in sourсe #XX -- [ Pg.81 , Pg.364 ]




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Degenerate four-wave mixing nonlinear optics

Four-wave mixing nonlinear response function

Frequency mixing, nonlinear optics

Frequency mixing, nonlinear optics measurements

Harmonic generation, nonlinear optics frequency mixing

Mixed integer nonlinear programming

Mixed integer nonlinear programming MINLP)

Mixed integer nonlinear programs

Mixed-integer nonlinear optimal control

Mixed-integer nonlinear optimization

Mixed-integer nonlinear optimization formulation

Mixed-integer nonlinear programming MINLP modeling

Mixed-integer nonlinear programming MINLP synthesis problems

Mixed-integer nonlinear programming nonconvexities

Mixed-integer nonlinear programming optimization

Mixed-integer nonlinear programming simultaneous

Modeling nonlinear mixed effects

Nonlinear Mixed Effects Models Theory

Nonlinear Mixed Model

Nonlinear Optical Mixing Techniques

Nonlinear mixed approach

Nonlinear mixed effects model

Nonlinear mixed effects model NONMEM)

Nonlinear mixed effects models parameter estimation methods

Nonlinear mixed effects models statistical

Nonlinear mixed effects models structural

Nonlinear mixed effects techniqu

Nonlinear mixed-effects

Nonlinear optical measurements degenerate four-wave mixing

Optimization mixed integer nonlinear program

Phase-matching, nonlinear optics frequency mixing

Population modeling nonlinear mixed effects

Population pharmacokinetics nonlinear mixed-effects

Second-harmonic generation , nonlinear frequency mixing

Structure of Nonlinear and Mixed-Integer Optimization Models

The Nonlinear Mixed Effects Model

Third-order nonlinear optical measurement degenerate four-wave mixing

Third-order optical nonlinearity degenerate four-wave mixing

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