The Theoretical Framework and Methodology to Estimate the Farm Labour and Other Factor-Derived Demand and Output Supply Systems. Factor Markets Working Document No. 44, May 2013

This paper provides a conceptual framework for the estimation of the farm labour and other factor-derived demand and output supply systems. In order to analyse the drivers of labour demand in agriculture and account for the impact of policies on those decisions, it is necessary to acknowledge the interaction between the different factor markets. For this purpose, we present a review of the theoretical background to primal and dual representations of production and some empirical literature that has made use of derived demand systems. The main focus of the empirical work is to study the effect of market distortions in one market, through inefficient pricing, on the demand for other inputs. Therefore, own-price and cross-price elasticities of demand become key variables in the analysis. The dual cost function is selected as the most appropriate approach, where input prices are assumed to be exogenous. A commonly employed specification – and one that is particularly convenient due to its flexible form – is the translog cost function. The analysis consists of estimating the system of cost-share equations, in order to obtain the derived demand functions for inputs. Thus, the elasticities of factor substitution can be used to examine the complementarity/substitutability between inputs.

Questions in Narratives from Oral Tradition to Literature

Thesis (Ph.D.)--University of Washington, 2016-06

Synthesis Methods of Multiple-valued Structures of Language Systems

The basic construction concepts of many-valued intellectual systems, which are adequate to primal problems of person activity and using hybrid tools with many-valued of coding are considered. The many-valued intellectual systems being two-place, but simulating neuron processes of space toting which are different on a level of actions, inertial and threshold of properties of neurons diaphragms, and also modification of frequency of following of the transmitted messages are created. All enumerated properties and functions in point of fact are essential not only are discrete on time, but also many-valued.

Multiple-Valued Structures of Intellectual Systems

The basic construction concepts of many-valued intellectual systems, which are adequate to primal problems of person activity and using hybrid tools with many-valued intellectual systems being two-place, but simulating neuron processes of space toting which are different on a level of actions, inertial and threshold of properties of neuron diaphragms, and also frequency modification of the following transmitted messages are created. All enumerated properties and functions in point of fact are essential not only are discrete on time, but also many-valued.

Duality in Constrained DC-Optimization via Toland’s Duality Approach

2000 Mathematics Subject Classification: 90C48, 49N15, 90C25

Algebraic duality theorems for infinite LP problems

In this paper we consider a primal-dual infinite linear programming problem-pair, i.e. LPs on infinite dimensional spaces with infinitely many constraints. We present two duality theorems for the problem-pair: a weak and a strong duality theorem. We do not assume any topology on the vector spaces, therefore our results are algebraic duality theorems. As an application, we consider transferable utility cooperative games with arbitrarily many players.

Non-uniqueness through duality in the von Neumann growth models

Duality can be viewed as the soul of each von Neumann growth model. This is not at all surprising because von Neumann (1955), a mathematical genius, extensively studied quantum mechanics which involves a “dual nature” (electromagnetic waves and discrete corpuscules or light quanta). This may have had some influence on developing his own economic duality concept. The main object of this paper is to restore the spirit of economic duality in the investigations of the multiple von Neumann equilibria. By means of the (ir)reducibility taxonomy in Móczár (1995) the author transforms the primal canonical decomposition given by Bromek (1974) in the von Neumann growth model into the synergistic primal and dual canonical decomposition. This enables us to obtain all the information about the steadily maintainable states of growth sustained by the compatible price-constellations at each distinct expansion factor.

La gárgola en la cultura visual actual

La gárgola ha poblado desde antiguo las cornisas de los edificios religiosos y civiles, sirviendo de evacuación para el agua y para diferentes misiones según las distintas interpretaciones. Su gran componente simbólico hace de ella un reclamo muy interesante para el mundo audiovisual actual. De entre las manifestaciones encontradas, estudiaremos la visión de la gárgola en estos medios y valoraremos su adecuación o no a la visión medieval. Mediante la aparición de la gárgola medieval en el mundo actual en forma de personajes y ornamentos, y gracias a la aplicación de imágenes actuales a las nuevas gárgolas, podemos realizar un recorrido visual y simbólico alrededor de las distintas visiones que la cultura actual realiza de ellas. Pero no podemos quedarnos ahí, es necesario relacionar estas nuevas visiones y significaciones con las originales, para establecer si se ha hecho un uso correcto de la imagen, o se ha roto la estructura del símbolo primigenio.

Building Support Vector Machines in the Context of Regularised Least Squares

This paper formulates a linear kernel support vector machine (SVM) as a regularized least-squares (RLS) problem. By defining a set of indicator variables of the errors, the solution to the RLS problem is represented as an equation that relates the error vector to the indicator variables. Through partitioning the training set, the SVM weights and bias are expressed analytically using the support vectors. It is also shown how this approach naturally extends to Sums with nonlinear kernels whilst avoiding the need to make use of Lagrange multipliers and duality theory. A fast iterative solution algorithm based on Cholesky decomposition with permutation of the support vectors is suggested as a solution method. The properties of our SVM formulation are analyzed and compared with standard SVMs using a simple example that can be illustrated graphically. The correctness and behavior of our solution (merely derived in the primal context of RLS) is demonstrated using a set of public benchmarking problems for both linear and nonlinear SVMs.

Modelo de operação de unidades de fragmentação no tratamento de veículos em fim de vida

A recuperação de metais a partir de resíduos é uma actividade ligada à valorização de resíduos que se afigura essencial à preservação de recursos naturais. O tratamento de resíduos metálicos é essencial para o sucesso da reciclagem. O tratamento permite diminuir contaminações com outros materiais, melhorar a valorização e diminuir os custos de transporte. Ao tratamento encontram-se associadas diferentes operações, cuja finalidade é preparar os metais de acordo com os requisitos de processo dos recicladores. A fragmentação é uma das operações de pré-tratamento mais relevantes pela sua capacidade de processamento e pela possibilidade de permitir separar resíduos contaminados com outros materiais. O presente trabalho efectua uma análise inicial ao sector e às tecnologias existentes permitindo introduzir posteriormente o caso de estudo, a instalação em Vila Nova de Gaia da empresa Constantino Fernandes Oliveira & Filhos, SA. O enfoque ao caso de estudo aborda o tema da eficiência energética, um dos principais custos de produção. Nesta perspectiva identifica pontos críticos e estabelece medidas de eficiência energética que permitam reduzir o consumo energético. As medidas propostas foram a colocação de um variador electrónico de velocidade no ventilador principal da fragmentadora e no compressor e a substituição da iluminação existente por iluminação LED. As medidas propostas permitem a redução do consumo específico de energia de 9,39 kgep/t para 8,81 kgep/t. Sendo a fragmentação uma das operações mais relevantes na actividade da instalação estudada, no presente trabalho, efectuou-se a análise do modelo operatório com recurso à aplicação STAN de análise de fluxos de materiais. O procedimento de análise envolveu a criação de vários cenários de exploração no tratamento de resíduos. O objectivo das simulações é a contabilização dos custos referentes ao tratamento dos resíduos permitindo melhorias na vertente operacional, ambiental e económica. Um dos cenários simulados foi a remoção dos veículos em fim de vida dos resíduos a fragmentar, onde se constatou que apesar de uma redução dos resíduos processados, os proveitos por quantidade processada não alteram relativamente ao modelo operatório de base. Este facto deve-se sobretudo aos custos elevados de tratamento de resíduos gerados no processo de fragmentação dos veículos em fim de vida.

Identyfikacja i wielkoskalowa analiza retrogenów w genomach zwierzęcych

Wydział Biologii

New Rigorous Decomposition Methods for Mixed-integer Linear and Nonlinear Programming

Process systems design, operation and synthesis problems under uncertainty can readily be formulated as two-stage stochastic mixed-integer linear and nonlinear (nonconvex) programming (MILP and MINLP) problems. These problems, with a scenario based formulation, lead to large-scale MILPs/MINLPs that are well structured. The first part of the thesis proposes a new finitely convergent cross decomposition method (CD), where Benders decomposition (BD) and Dantzig-Wolfe decomposition (DWD) are combined in a unified framework to improve the solution of scenario based two-stage stochastic MILPs. This method alternates between DWD iterations and BD iterations, where DWD restricted master problems and BD primal problems yield a sequence of upper bounds, and BD relaxed master problems yield a sequence of lower bounds. A variant of CD, which includes multiple columns per iteration of DW restricted master problem and multiple cuts per iteration of BD relaxed master problem, called multicolumn-multicut CD is then developed to improve solution time. Finally, an extended cross decomposition method (ECD) for solving two-stage stochastic programs with risk constraints is proposed. In this approach, a CD approach at the first level and DWD at a second level is used to solve the original problem to optimality. ECD has a computational advantage over a bilevel decomposition strategy or solving the monolith problem using an MILP solver. The second part of the thesis develops a joint decomposition approach combining Lagrangian decomposition (LD) and generalized Benders decomposition (GBD), to efficiently solve stochastic mixed-integer nonlinear nonconvex programming problems to global optimality, without the need for explicit branch and bound search. In this approach, LD subproblems and GBD subproblems are systematically solved in a single framework. The relaxed master problem obtained from the reformulation of the original problem, is solved only when necessary. A convexification of the relaxed master problem and a domain reduction procedure are integrated into the decomposition framework to improve solution efficiency. Using case studies taken from renewable resource and fossil-fuel based application in process systems engineering, it can be seen that these novel decomposition approaches have significant benefit over classical decomposition methods and state-of-the-art MILP/MINLP global optimization solvers.