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Methods numerical

Babuska, B., 1971. Error bounds for tinite element method. Numer. Methods 16, 322-333. [Pg.108]

Colorimetric Methods. Numerous colorimetric methods exist for the quantitative determination of carbohydrates as a group (8). Among the most popular of these is the phenol—sulfuric acid method of Dubois (9), which rehes on the color formed when a carbohydrate reacts with phenol in the presence of hot sulfuric acid. The test is sensitive for virtually all classes of carbohydrates. Colorimetric methods are usually employed when a very small concentration of carbohydrate is present, and are often used in clinical situations. The Somogyi method, of which there are many variations, rehes on the reduction of cupric sulfate to cuprous oxide and is appHcable to reducing sugars. [Pg.10]

EmpiricalEfficieny Prediction Methods. Numerous empirical methods for predicting plate efficiency have been proposed. Probably the most widely used method correlates overall column efficiency as a function of feed viscosity and relative volatiHty (64). A statistical correlation of efficiency and system variables has been developed from numerous plate efficiency data (65). [Pg.170]

Choice of Method. Numerous enzyme immobilization techniques have been described in the Hterature comprehensive books on this and related subjects, including industrial appHcations, are available (33—36). The more general techniques and some selection criteria are included herein. [Pg.291]

With these two-point boundary conditions the dispersion equation, Eq. (23-50), may be integrated by the shooting method. Numerical solutions for first- and second-order reaciions are plotted in Fig. 23-15. [Pg.2089]

In general, discontinuities constitute a problem for numerical methods. Numerical simulation of a blast flow field by conventional, finite-difference schemes results in a solution that becomes increasingly inaccurate. To overcome such problems and to achieve a proper description of gas dynamic discontinuities, extra computational effort is required. Two approaches to this problem are found in the literature on vapor cloud explosions. These approaches differ mainly in the way in which the extra computational effort is spent. [Pg.104]

Since the measurements of conductance change are not directly related to the composition of the solution, as an alternative method numerical integration of the differential rate equations implied by the proposed mechanism was employed. The second order rate coefficients obtained by this method are... [Pg.572]

By this method numerous carboxylic esters have been prepared as is shown in Table 3-1. Diesters are compiled in Table 3-2. [Pg.42]

A researcher in the field of heterogeneous catalysis, alongside the important studies of catalysts chemical properties (i.e., properties at a molecular level), inevitably encounters problems determining the catalyst structure at a supramolecular (textural) level. A powerful combination of physical and chemical methods (numerous variants x-ray diffraction (XRD), IR, nuclear magnetic resonance (NMR), XPS, EXAFS, ESR, Raman of Moessbauer spectroscopy, etc. and achievements of modem analytical chemistry) may be used to study the catalysts chemical and phase molecular structure. At the same time, characterizations of texture as a fairytale Cinderella fulfill the routine and very frequently senseless work, usually limited (obviously in our modem transcription) with electron microscopy, formal estimation of a surface area by a BET method, and eventually with porosimetry without any thorough insight. [Pg.258]

Isomerization reactions are an excellent method for the synthesis of allenes. Depending on the method, numerous functional groups are tolerated, hence these reactions match the demands of modern synthesis. In the other chapters of this book we will encounter these reactions again, embedded in a wider chemical context. Not the preparation of the allene but its use in organic synthesis and the benefits of its high reactivity will then be the major focus. [Pg.36]

The problem of an unphysical flow of ZPE is not a specific feature of the mapping approach, but represents a general flaw of quasi-classical trajectory methods. Numerous approaches have been proposed to fix the ZPE problem [223]. They include a variety of active methods [i.e., the flow of ZPE is controlled and (if necessary) manipulated during the course of individual trajectories] and several passive methods that, for example, discard trajectories not satisfying predefined criteria. However, most of these techniques share the problem that they manipulate individual trajectories, whereas the conservation of ZPE should correspond to a virtue of the ensemble average of trajectories. [Pg.310]

A systematic stepwise method for numerical integration of a rate expression [indeed, of any differential equation y = f(x,y) with an initial value y(Xo) = Vo] to determine the time evolution of the rate process. See also Numerical Computer Methods Numerical Integration Stiffness Gear Algorithm... [Pg.624]

NUMERICAL COMPUTER METHODS NUMERICAL INTEGRATION STIFFNESS GEAR ALGORITHM... [Pg.779]

Naturally occurring fatty alcohols used in the fragrance industry are produced principally by reduction of the methyl esters of the corresponding carboxylic acids, which are obtained by transesterification of natural fats and oils with methanol. Industrial reduction processes include catalytic hydrogenation in the presence of copper-chromium oxide catalysts (Adkins catalysts) and reduction with sodium (Bouveault—Blanc reduction). Unsaturated alcohols can also be prepared by the latter method. Numerous alcohols used in flavor compositions are, meantime, produced by biotechnological processes [11]. Alcohols are starting materials for aldehydes and esters. [Pg.9]

Enantiomeric purity. In order to assess the efficiency of an enantioselective hydrolase-catalyzed reaction, it is imperative that one can accurately measure at least the conversion and the enantiomeric excesses of either the substrate or the product (see equations Equation 1, Equation 2, and Equation 3). Although optical rotation is sometimes used to assess enantiomeric excess, it is not recommended. Much better alternatives are various chromatographic methods. For volatile compounds, capillary gas chromatography on a chiral liquid phase is probably the most convenient method. Numerous commercial suppliers offer a large variety of columns with different chiral liquid phases. Hence it is often easy to find suitable conditions for enantioselective GC-separations that yield ee-values in excess of... [Pg.81]

Apart from those homemade methods, numerous commercial kits including the EZ-screen -lactam card tests (Environmental Diagnostics, Inc., Burlington, NC), the CITE probe -lactam test (IDEXX Laboratories, Inc., Westbrook, ME), the LacTek -lactam test (IDETEK, Inc., Sunnyvale, CA), and the spot test for benzylpenicillin, cephapirin, and cloxacillin (Angenics, Inc., Cambridge, MA) are also available. [Pg.838]

Differential Solubility Methods. Numerous methods have been developed to obtain one or more of the various caseins from whole casein or directly from skim milk based on their differential solubility (Thompson 1971 Mackinlay and Wake 1971 Whitney 1977). While some early procedures indicated the possibility of fractionating whole casein into different components, it was not until the 1950s that systematic procedures were proposed for the fractionation of casein into Warner s a-, 0-, and y-caseins. Hipp et al. (1952) developed two procedures which have been used extensively or partially incorporated into other methods. The first is based upon the differential solubilities of the caseins in 50% alcohol in the presence of ammonium acetate by varying the pH, temperature, and ionic strength. The second procedure involves the dispersion of whole casein in 6.6 M urea and the separa-... [Pg.128]

The determination of the strength of the Lewis acids MF , has been carried out in various solvents using the conventional methods. Numerous techniques have been applied conductivity measurements, cryoscopy, aromatic hydrocarbon extraction,53,84 solubility measurements,85-87 kinetic parameters determinations,52,88,89 electroanalytical techniques (hydrogen electrode),90-93 quinones systems as pH indicators,94-97 or other electrochemical systems,98 99 IR,100,101 and acidity function (//,) determinations with UV-visible spectroscopy,8 9 14 19 102-105 or with NMR spectros-copy.20-22,44-46,106-108 Gas-phase measurements are also available.109-111 Comparison of the results obtained by different methods shows large discrepancies (Table 1.2). [Pg.24]


See other pages where Methods numerical is mentioned: [Pg.17]    [Pg.258]    [Pg.441]    [Pg.273]    [Pg.266]    [Pg.241]    [Pg.69]    [Pg.114]    [Pg.376]    [Pg.196]    [Pg.19]    [Pg.29]    [Pg.659]    [Pg.332]    [Pg.195]    [Pg.578]    [Pg.203]    [Pg.455]    [Pg.376]    [Pg.137]    [Pg.19]    [Pg.259]    [Pg.93]    [Pg.68]    [Pg.203]    [Pg.103]    [Pg.173]    [Pg.287]    [Pg.258]    [Pg.77]   
See also in sourсe #XX -- [ Pg.97 ]




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Accuracy of Numerical Methods

Advanced Numerical Methods Applied to Electrochemistry

Algebraic equations numerical solution methods

Analytical and Numerical Methods

Analytical method numerical simulation software

Analytical methods comparison with numerical

Approximate and Numerical Solution Methods for PDEs

Atoms numerical Hartree-Fock methods

Building Blocks of a Numerical Solution Method

Calculations numerical methods

Channel electrodes numerical methods

Choosing a method for numerical integration

Computational numerical methods

Computational research numerical methods

Conduction Numerical methods, Steady heat

Conduction heat transfer numerical method

Conduction numerical method

Conservation equations numerical method

Energy distribution functions numerical methods

Error numerical methods, controlling

Finite difference method numerical diffusion

Gradient development numerical method

Graphical and Numerical Methods of Analysis

Graphical or Numerical Methods

Graphical, Numerical, and Mathematical Methods

Heat conduction numerical methods

Horners method for approximating to the real roots of numerical equations

Implicit numerical methods

Initial value problem, solutions NUMERICAL COMPUTER METHODS

Integral methods numerical procedures

Integration by numerical methods

Limitations of Numerical Methods

Linear algebra numerical methods

MATLAB nonlinear numerical methods

Mathematics Numerical methods

Method of Numerical Simulation

Methods of Numerical Integration

Miscellaneous Topics on Numerical Methods

Nanocomposites numerical methods

Numerical Curve Fitting The Method of Least Squares (Regression)

Numerical Finite-Difference Methods for Unsteady-State Conduction

Numerical Hartree-Fock Methods for Molecules

Numerical Hartree-Fock methods

Numerical Iterative Methods of Solution

Numerical Method of Analysis

Numerical Method of Lines Example Using MATLAB

Numerical Method of Lines for Parabolic PDEs with Nonlinear Boundary

Numerical Method of Lines for Parabolic Partial Differential Equations (PDEs)

Numerical Method of Lines for Stiff Nonlinear PDEs

Numerical Methods and Characterization of Wave Shape

Numerical Methods and Invariant Distributions

Numerical Methods and MATLAB Techniques

Numerical Methods for Computing the Frequency Response

Numerical Methods for Extended System Thermostats

Numerical Methods for Nonlinear Engineering Models

Numerical Methods for Reacting Flows

Numerical Methods for Reactor Systems Design

Numerical Methods for Solution of Partial Differential Equations

Numerical Methods for Solving Multivariable Problems

Numerical Methods for Solving Stochastic Models

Numerical Methods for Steady-State Conduction in Two

Numerical Methods of Data Analysis

Numerical Methods with Holonomic Constraints

Numerical Simulation Methods in Shock-Wave Chemistry

Numerical Simulation and the Phase-Field Method

Numerical Solution Methods (Initial Value Problems)

Numerical Solutions Finite Element Method

Numerical analysis Runge-Kutta method

Numerical analysis and approximate methods

Numerical analysis method

Numerical and Graphical Methods

Numerical boundary element method

Numerical computational methods considerations

Numerical computational methods ordinary differential equations

Numerical computational methods partial differential equations

Numerical evaluation methods

Numerical integration computer methods

Numerical integration methods

Numerical integration, linear-scaling methods

Numerical method of lines

Numerical method of lines for elliptic

Numerical method of lines for nonlinear coupled PDEs

Numerical method of lines for parabolic

Numerical method order

Numerical method stability

Numerical method with convection boundary condition

Numerical method, description

Numerical method, desired

Numerical method, desired properties

Numerical methods Crank-Nicholson

Numerical methods Crank-Nicolson method

Numerical methods Euler method

Numerical methods MATLAB software

Numerical methods Monte Carlo method

Numerical methods Newton-Raphson method

Numerical methods Runge-Kutta integration

Numerical methods Schmidt method

Numerical methods Taylor series expansion

Numerical methods adsorption

Numerical methods algebraic equations

Numerical methods another

Numerical methods approximation function

Numerical methods basis function

Numerical methods bisection method

Numerical methods boundary conditions

Numerical methods boundary value problems

Numerical methods collocation method

Numerical methods computational efficiency

Numerical methods derivative boundary conditions

Numerical methods differential equations

Numerical methods direct method

Numerical methods discretization error

Numerical methods elimination method

Numerical methods energy balance method

Numerical methods explicit

Numerical methods explicit method

Numerical methods false transients

Numerical methods finite difference calculus

Numerical methods finite difference formulation

Numerical methods finite differences

Numerical methods finite elements

Numerical methods flow analysis network

Numerical methods for steady-state conduction

Numerical methods for the self-avoiding walk

Numerical methods implicit method

Numerical methods in chemistry

Numerical methods initial value problems

Numerical methods interpolation

Numerical methods introduction

Numerical methods issues

Numerical methods iterative method

Numerical methods least mean square method

Numerical methods least squares curve fitting

Numerical methods linear equations

Numerical methods linear regression

Numerical methods nodes

Numerical methods optimization

Numerical methods partial differential equations

Numerical methods polarizable continuum model

Numerical methods polynomial approximation

Numerical methods reaction with temperature

Numerical methods secant method

Numerical methods shooting techniques

Numerical methods simulation

Numerical methods successive substitution

Numerical methods terms Links

Numerical methods transient heat conduction

Numerical methods trapezoid method

Numerical methods trapezoidal rule

Numerical methods with other boundary conditions

Numerical methods, use

Numerical modelling boundary element method model

Numerical or direct integration and other approximate methods

Numerical path integral methods

Numerical propagation method

Numerical search direct methods

Numerical solution methods

Other Numerical Methods

Partial differential equation numerical approximation methods

Path integral relations numerical methods

Periodic orbit numerical methods

Poisson-Boltzmann equation numerical methods

Population balance numerical methods

Process design numerical computational methods

Reacting numerical methods

Runge-Kutta Numerical methods)

Search numerical evaluation methods

Selected Numerical Methods and Available Software Packages

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

Semianalytical and Numerical Method of Lines for Elliptic PDEs

Solvent effects numerical methods

Special Numerical Methods for Convection-Dominated Problems

Spectral information, numerical methods

Stability Equations and Numerical Method

Statistical and Numerical Methods of Data Analysis

Steady-state diffusion Numerical methods)

Stiffness, numerical methods

Surface-based numerical method

Three-dimensional numerical method

Three-dimensions numerical methods

Time-Reversal Symmetry and Symmetric Numerical Methods

Transient Numerical Method

Unsteady-state diffusion Numerical methods)

Volume Preserving Numerical Methods

Volume-based numerical method

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