The following thesis is a documentation of the production of Two Rooms, including analysis, research production book, script, documentation, and evaluation. The play was performed in New Orleans, Louisiana, at the University of New Orleans Performing Arts Center Lab Theatre on November 7th, 8th, 12th, 13th, 21st, and 22nd, 2015.

Thesis (D. Min.)--Midwestern Baptist Theological Seminary, 2005. / Abstract. Includes bibliographical references (leaves 275-281)

It is the aim of this dissertation to discuss the creation of historiographic space in the works of Francis Parkman. More specifically, this dissertation intends to analyze Parkman’s The Oregon Trail and Montcalm and Wolfe as literary texts that examine geographies of cultural interaction and transnational empire building. Parkman’s historical narratives, this dissertation suggests, not only describe historically significant sites, such as the Oregon Trail and the Northern Frontier, but further create literary heterotopias. These textual counter geographies, as for instance his conceptualizations of the trading posts of the far West and the wilderness fortifications of the far North, allow Parkman to effectively interrogate American history. By investigating the fruitful juncture between history, geography, and literature this project aims to establish the importance of historical geographies for Francis Parkman’s methodology and define its function for the creation of a national consciousness. In addition to Parkman’s use of space, this dissertation further analyzes the historian’s depiction of historical characters and his subsequent attempts to define American identity. Thereby, my analysis specifically highlights the relationship between Parkman’s literary characters and their environment. In an attempt to trace the impact Parkman’s historical narratives exert on postmodern authors of American literature, the concluding chapters interrogate the re-negotiation of Parkman’s historiographic spaces in Thomas King’s Truth and Bright Water and William T. Vollmann’s Fathers and Crows.

No se posee.

Thesis (D. Min.)--Midwestern Baptist Theological Seminary, 2005. / Abstract. Includes bibliographical references (leaves 275-281)

Thesis (M.A.)--Brigham Young University. Dept of English, 2006. / Includes bibliographical references (p. 91-94).

We derive a technique for scaling the search directions of feasible direction methods when applied to optimization problems over Cartesian product sets. It is proved that when the scaling is included in a convergent feasible direction method, also the new method will be convergent. The scaling technique is applied to the Frank-Wolfe method, the partanized Frank-Wolfe method and a heuristic Frank-Wolfe method. The performance of  these algorithms with and without scaling is evaluated on the stochastic transportation problem. It is found that the scaling technique has the ability to improve the performance of some methods. In particular we observed a huge improvement in the performance of the partanized Frank-Wolfe method, especially when the scaling is used together with an exact line search and when the number of sets in the Cartesian product is large.

This thesis essays a comparative study of William Plomer's Turbott Wolfe (1925) and Sol Plaatje's Mhudi (1930). Although writing from very different subject positions within the social order of the time, Plomer and Plaatje embody in their novels a strikingly similar vision of a South Africa free of racial barriers. Plaatje's version of South African history in Mhudi deconstructs colonial binarism by dramatizing not only conflict and difference but also co-operation and commonality. Holding the past up as a mirror to the present, it protests against racial injustice while implying the continuing possibility of reconciliation. Plomer reacts angrily to white hypocrisy and insists on the rights and humanity of his African characters, in the name of imperatives both moral and political. He seeks additional sanction for these by situating the South African race questioning the context of a Western world slowly awakening to the consequences of modernity. During a time of political turbulence, both writers speak out boldly and confidently against the rising dominance of segregationist ideology. The imminent inception of full democracy in South Africa has reanimated the relevance of these writers' vision of a non- racial social order. If one of the challenges facing the South African literary historian 'today is the reconstruction of a truly national literary tradition, then Mhudi and Turbott Wolfe would appear to be key works in such an enterprise. As different as Plaatje's epic myth-making is from Plomer's modernist irony, both novels contrive to speak with a new voice: a national voice which expresses the aspirations of all South Africa's people. They are, moreover, novels whose survival seems guaranteed as much by their aesthetic qualities as by their ideological orientation. The novels are examined against the backgrounds of South African society and colonial literary production. They are seen as milestones in the development of a liberal South African literary tradition. By breaking with the dominant oppositional mode, whether that of "white writing" or an emergent "writing black", Plomer and Plaatje exemplify a literature at once socially relevant and possessed of a prophetic vision that remains of significance in South Africa today.

Modern large data sets inevitably contain outliers that deviate from the model assumptions. However, many widely used estimators, such as maximum likelihood estimators and least squared estimators, perform weakly with the existence of outliers. Alternatively, many statistical modeling approaches have matrices as the parameters. We consider penalized estimators for matrix-valued parameters with a focus on their robustness properties in the presence of outliers. We propose a general framework for robust modeling with matrix-valued parameters by minimizing robust loss functions with penalization. However, there are challenges to this approach in both computation and theoretical analysis. To tackle the computational challenges from the large size of the data, non-smoothness of robust loss functions, and the slow speed of matrix operations, we propose to apply the Frank-Wolfe algorithm, a first-order algorithm for optimization on a restricted region with low computation burden per iteration. Theoretically, we establish finite-sample error bounds under high-dimensional settings. We show that the estimation errors are bounded by small terms and converge in probability to zero under mild conditions in a neighborhood of the true model. Our method accommodates a broad classes of modeling problems using robust loss functions with penalization. Concretely, we study three cases: matrix completion, multivariate regression, and network estimation. For all cases, we illustrate the robustness of the proposed method both theoretically and numerically. / Statistics

In several situations, and among various treatment effects, researchers might test for an umbrella alternative. The need for an umbrella alternative arises in the evaluation of the reaction to drug dosage. For instance, the reaction might increase as the level of drug dosage increases, where after exceeding the optimal dosage a downturn may occur. A test statistic used for the umbrella alternative was proposed by Mack and Wolfe (1981) using a completely randomized design. Moreover, an extension of the Mack-Wolfe test for the randomized complete block design was proposed by Kim and Kim (1992), where the blocking factor was introduced. This thesis proposes two nonparametric test statistics for mixed design data with k treatments when the peak is known and four statistics when the peak is unknown. The data are a mixture of a CRD and an RCBD. A Monte Carlo simulation is conducted to compare the power of the first two proposed tests when the peak is known, and each one of them has been compared to the tests that were proposed by Magel et al. (2010). Also, it is conducted to compare the power of the last four proposed tests when the peak is unknown. In this study, we consider the simulation from exponential, normal and t distributions with 3 degrees of freedom. For every distribution, equal sample sizes for the CRD portion are selected so that the sample size, n, is 6, 10, 16 and 20. The number of blocks for the RCBD are considered to be half, equal and twice the sample size for each treatment. Furthermore, a variety of location parameter configurations are considered for three, four and five populations. The powers were estimated for both cases, known and unknown peak. In both cases, the results of the simulation study show that the proposed tests, in which we use the method of standardized first, generally perform better than those with standardized second. This thesis also shows that adding the distance modification to the Mack-Wolfe and Kim- Kim statistics provides more power to the proposed test statistics more than those without the application of the distance modification.