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  • 1
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of chemical & engineering data 19 (1974), S. 157-161 
    ISSN: 1520-5134
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of the American Chemical Society 109 (1987), S. 1810-1813 
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of the American Chemical Society 109 (1987), S. 1805-1809 
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    [S.l.] : American Institute of Physics (AIP)
    Journal of Applied Physics 63 (1988), S. 1111-1116 
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: PtSi contacts to As-doped polycrystalline silicon have been studied with respect to dopant redistribution, microstructure, and contact resistance. Arsenic was found to pileup at the PtSi-polysilicon interface upon silicide formation. Cross-sectional transmission-electron microscopy revealed columnar PtSi grains and a relatively flat interface between PtSi and polysilicon. These observations are similar to those reported for the case of PtSi formed on the single-crystal silicon. The specific contact resistance (ρc) has been investigated as a function of As concentration ranging from 8×1019 to 2×1021 cm−3 and of its dependence on substrate preclean procedures prior to Pt deposition. It was found that ρc decreases with increasing As concentration, as expected from theory. However, the contact resistance to As-doped polysilicon is about ten times higher than contacts to similarly doped single-crystal Si. The origin of this difference is attributed to the fact that not all of the implanted As was activated. Hall-voltage measurements showed that only about 10% of the implanted As was electrically active after an 880 °C, 20 min furnace annealing. Rapid-thermal annealing was then used to activate a higher fraction of the implanted As. Consequently, a much lower ρc was obtained: e.g., 7.5×10−8 Ω cm2 for samples annealed at 1050 °C for 30 s, in contrast to a value of 8.4×10−7 Ω cm2 for a furnace-annealed sample.
    Type of Medium: Electronic Resource
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  • 5
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    Chicago : Periodicals Archive Online (PAO)
    Agricultural History. 62:2 (1988:Spring) 270 
    ISSN: 0002-1482
    Topics: History , Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Flow, turbulence and combustion 23 (1971), S. 95-112 
    ISSN: 1573-1987
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract This paper investigates the optimum control of a heat exchanger having internal heat sources from a reference steady state to a desired value. Both the wall and coolant are treated as distributed-parameter systems. Under certain constraints inherent in the operating conditions and physical limitations of the heat exchanger, the control function of the system, i.e. the heat generation rate which minimizes the deviation of the temperature distribution from an assigned pattern at a given time, is found through the use of a linear programming method. The effects of physical parameters on the optimal control function and the temperature response and distribution are examined. Experimental results are presented which compare favorably with the theoretical analysis. Heat exchangers to which these results apply include the electrical heater, a chemical reactor in which a chemical reaction occurs within the solid walls and a heterogeneous nuclear reactor.
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Journal of optimization theory and applications 5 (1970), S. 405-423 
    ISSN: 1573-2878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract In this paper, a unified method to construct quadratically convergent algorithms for function minimization is described. With this unified method, a generalized algorithm is derived. It is shown that all the existing conjugate-gradient algorithms and variable-metric algorithms can be obtained as particular cases. In addition, several new practical algorithms can be generated. The application of these algorithms to quadratic functions as well as nonquadratic functions is discussed.
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Journal of optimization theory and applications 13 (1974), S. 519-537 
    ISSN: 1573-2878
    Keywords: Mathematical programming ; function minimization ; method of dual matrices ; computing methods ; numerical methods
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract In this paper, the method of dual matrices for the minimization of functions is introduced. The method, which is developed on the model of a quadratic function, is characterized by two matrices at each iteration. One matrix is such that a linearly independent set of directions can be generated, regardless of the stepsize employed. The other matrix is such that, at the point where the first matrix fails to yield a gradient linearly independent of all the previous gradients, it generates a displacement leading to the minimal point. Thus, the one-dimensional search is bypassed. For a quadratic function, it is proved that the minimal point is obtained in at mostn + 1 iterations, wheren is the number of variables in the function. Since the one-dimensional search is not needed, the total number of gradient evaluations for convergence is at mostn + 2. Three algorithms of the method are presented. A reverse algorithm, which permits the use of only one matrix, is also given. Considerations pertaining to the applications of this method to the minimization of a quadratic function and a nonquadratic function are given. It is believed that, since the one-dimensional search can be bypassed, a considerable amount of computational saving can be achieved.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    Journal of optimization theory and applications 11 (1973), S. 175-188 
    ISSN: 1573-2878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract In this paper, the performances of three quadratically convergent algorithms coupled with four one-dimensional search schemes are studied through several nonquadratic examples. The algorithms are the rank-one algorithm (Algorithm I), the projection algorithm (Algorithm II), and the Fletcher-Reeves algorithm (Algorithm III). The search schemes are the exact quadratic search (EQS), the exact cubic search (ECS), the approximate quadratic search (AQS), and the approximate cubic search (ACS). The performances are analyzed in terms of number of iterations and number of equivalent function evaluations for convergence. From the numerical experiments, the following conclusions are found: (a) while the number of iterations generally increases by relaxing the search stopping condition, the number of equivalent function evaluations decreases; therefore, approximate searches should be preferred to exact searches; (b) the numbers of iterations for ACS, ECS, and EQS are about the same; therefore, the use of more sophisticated, higher order search schemes is not called for; the present ACS scheme, modified so that only the function, instead of the gradient, is used in bracketing the minimal point, could prove to be most desirable in terms of the number of equivalent function evaluations; (c) for Algorithm I, ACS and AQS yield almost identical results; it is believed that further improvements in efficiency are possible if one uses a fixed stepsize approach, thus bypassing the one-dimensional search completely; (d) the combination of Algorithm II and ACS exhibits high efficiency in treating functions whose order is higher than two and whose Hessian at the minimal point is singular; and (f) Algorithm III, even with the best search scheme, is inefficient in treating functions with flat bottoms; it is doubtful that the simplicity of its update will compensate for its inefficiency in such pathological cases.
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    Journal of optimization theory and applications 13 (1974), S. 620-634 
    ISSN: 1573-2878
    Keywords: Mathematical programming ; function minimization ; method of dual matrices ; computing methods ; numerical methods
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract In Ref. 2, four algorithms of dual matrices for function minimization were introduced. These algorithms are characterized by the simultaneous use of two matrices and by the property that the one-dimensional search for the optimal stepsize is not needed for convergence. For a quadratic function, these algorithms lead to the solution in at mostn+1 iterations, wheren is the number of variables in the function. Since the one-dimensional search is not needed, the total number of gradient evaluations for convergence is at mostn+2. In this paper, the above-mentioned algorithms are tested numerically by using five nonquadratic functions. In order to investigate the effects of the stepsize on the performances of these algorithms, four schemes for the stepsize factor are employed, two corresponding to small-step processes and two corresponding to large-step processes. The numerical results show that, in spite of the wide range employed in the choice of the stepsize factor, all algorithms exhibit satisfactory convergence properties and compare favorably with the corresponding quadratically convergent algorithms using one-dimensional searches for optimal stepsizes.
    Type of Medium: Electronic Resource
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