Payment for the Atkins, Schmidt, Crick, Mank, Underwood and Crew accounts

Payment for the Atkins, Schmidt, Crick, Mank, Underwood and Crew accounts, Jan. 1, 1885.

Payment for the Crick, Underwood, Crew, Mank, Atkins and Schmidt accounts

Payment for the Crick, Underwood, Crew, Mank, Atkins and Schmidt accounts, June 9, 1885.

Payment for Atkins, Schmidt, Crick, Mank, Underwood and Crew accounts

Payment for Atkins, Schmidt, Crick, Mank, Underwood and Crew accounts, June 16, 1886.

Payment for Rockroth, Atkins, Schmidt, Mank and Crew accounts

Payment for Rockroth, Atkins, Schmidt, Mank and Crew accounts, June 28, 1887.

Payment for Atkins, Schmidt, Mank and Crew accounts

Payment for Atkins, Schmidt, Mank and Crew accounts, Dec. 28, 1887.

Payment for Atkins, Schmidt, Crick, Mank, Crew and Rothrock accounts

Payment for Atkins, Schmidt, Crick, Mank, Crew and Rothrock accounts, Jan. 1, 1889.

Payment for Rothrock, Schmidt and Mank accounts

Payment for Rothrock, Schmidt and Mank accounts, June 28, 1889.

Letter to S.D. Woodruff regarding the Atkins and Schmidt accounts signed by Jarvis, Conklin and Co.

Letter to S.D. Woodruff regarding the Atkins and Schmidt accounts signed by Jarvis, Conklin and Co., Oct. 8, 1884.

Letter to S.D. Woodruff which accompanied the payment on the John Schmidt loan signed by S.L. Conklin, assistant secretary of Jarvis-Conklin Mortgage Trust Company

Letter to S.D. Woodruff (1 page, typed) which accompanied the payment on the John Schmidt loan signed by S.L. Conklin, assistant secretary of Jarvis-Conklin Mortgage Trust Company, July 9, 1889.

Obtención de oligómeros y polímeros electroluminiscentes vía reacciones de claisen-schmidt y wittig.

Tesis (Doctor en Ingeniería de Materiales) UANL, 2013.

On the relationship between the Method of Least Squares and Gram-Schmidt orthogonalization

The method of Least Squares is due to Carl Friedrich Gauss. The Gram-Schmidt orthogonalization method is of much younger date. A method for solving Least Squares Problems is developed which automatically results in the appearance of the Gram-Schmidt orthogonalizers. Given these orthogonalizers an induction-proof is available for solving Least Squares Problems.

A neurofuzzy network knowledge extraction and extended gram-Schmidt algorithm for model subspace decomposition

This paper introduces a new neurofuzzy model construction and parameter estimation algorithm from observed finite data sets, based on a Takagi and Sugeno (T-S) inference mechanism and a new extended Gram-Schmidt orthogonal decomposition algorithm, for the modeling of a priori unknown dynamical systems in the form of a set of fuzzy rules. The first contribution of the paper is the introduction of a one to one mapping between a fuzzy rule-base and a model matrix feature subspace using the T-S inference mechanism. This link enables the numerical properties associated with a rule-based matrix subspace, the relationships amongst these matrix subspaces, and the correlation between the output vector and a rule-base matrix subspace, to be investigated and extracted as rule-based knowledge to enhance model transparency. The matrix subspace spanned by a fuzzy rule is initially derived as the input regression matrix multiplied by a weighting matrix that consists of the corresponding fuzzy membership functions over the training data set. Model transparency is explored by the derivation of an equivalence between an A-optimality experimental design criterion of the weighting matrix and the average model output sensitivity to the fuzzy rule, so that rule-bases can be effectively measured by their identifiability via the A-optimality experimental design criterion. The A-optimality experimental design criterion of the weighting matrices of fuzzy rules is used to construct an initial model rule-base. An extended Gram-Schmidt algorithm is then developed to estimate the parameter vector for each rule. This new algorithm decomposes the model rule-bases via an orthogonal subspace decomposition approach, so as to enhance model transparency with the capability of interpreting the derived rule-base energy level. This new approach is computationally simpler than the conventional Gram-Schmidt algorithm for resolving high dimensional regression problems, whereby it is computationally desirable to decompose complex models into a few submodels rather than a single model with large number of input variables and the associated curse of dimensionality problem. Numerical examples are included to demonstrate the effectiveness of the proposed new algorithm.

Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the Coupled Model Intercomparison Project phase 5

The new Max-Planck-Institute Earth System Model (MPI-ESM) is used in the Coupled Model Intercomparison Project phase 5 (CMIP5) in a series of climate change experiments for either idealized CO2-only forcing or forcings based on observations and the Representative Concentration Pathway (RCP) scenarios. The paper gives an overview of the model configurations, experiments related forcings, and initialization procedures and presents results for the simulated changes in climate and carbon cycle. It is found that the climate feedback depends on the global warming and possibly the forcing history. The global warming from climatological 1850 conditions to 2080–2100 ranges from 1.5°C under the RCP2.6 scenario to 4.4°C under the RCP8.5 scenario. Over this range, the patterns of temperature and precipitation change are nearly independent of the global warming. The model shows a tendency to reduce the ocean heat uptake efficiency toward a warmer climate, and hence acceleration in warming in the later years. The precipitation sensitivity can be as high as 2.5% K−1 if the CO2 concentration is constant, or as small as 1.6% K−1, if the CO2 concentration is increasing. The oceanic uptake of anthropogenic carbon increases over time in all scenarios, being smallest in the experiment forced by RCP2.6 and largest in that for RCP8.5. The land also serves as a net carbon sink in all scenarios, predominantly in boreal regions. The strong tropical carbon sources found in the RCP2.6 and RCP8.5 experiments are almost absent in the RCP4.5 experiment, which can be explained by reforestation in the RCP4.5 scenario.

Preparation of different basic Si-MCM-41 catalysts and application in the Knoevenagel and Claisen-Schmidt condensation reactions

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A redução de Liapunov-Schmidt e a bifurcação de Hopf

Pós-graduação em Matemática - IBILCE