Modelagem matemática e análise dinâmica da torre de um pulverizador de pomares

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelagem matemática para a simulação de estratégias de controle biológico da mosca-do-mediterrâneo C. capitata (Diptera : Tephritidae), em plantações de citrus: utilização de variáveis temporais e espaciais

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Análise crítica de aspectos de modelagem matemática no planejamento da expansão a longo prazo de sistemas de transmissão

Pós-graduação em Engenharia Elétrica - FEIS

Modelagem matemática para maximização da produção da cana-de-açúcar (Saccharum spp.) e impactos sobre o custo de operações mecanizadas de corte e carregamento

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

A Modelagem matemática como instrumento de ação política na sala de aula

Pós-graduação em Educação Matemática - IGCE

A modelagem matemática e a realidade do mundo cibernético

Pós-graduação em Educação Matemática - IGCE

O Tratamento de questões ambientais através da modelagem matemática: um trabalho com alunos do ensino fundamental e médio

Pós-graduação em Educação Matemática - IGCE

Avaliação espaço-temporal da qualidade da água e simulação de autodepuração na bacia hidrográfica do córrego São Simão, SP

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Modelagem matemática de tumores e estequiometria biológica

Cancer biology is a complex and expanding field of science study. Due its complexity, there is a strong motivation to integrate many fields of knowledge to study cancer biology, and biological stoichiometry can make this. Biological stoichiometry is the study of the balance of multiple chemical elements in biological systems. A key idea in biological stoichiometry is the growth rate hypothesis, which states that variation in the carbon:nitrogen:phosphorus stoichiometry of living things is associated with growth rate because of the elevated demands for phosphorusrich ribosomal RNA and other elements necessary to protein synthesis. As tumor cells has high rate proliferation, the growth rate hypothesis can be used in cancer study. In this work the dynamic of two tumors (primary and secondary) and the chemical elements carbon and nitrogen are simulate and analyzed through mathematical models that utilize as central idea biological stoichiometry. Differential equations from mathematical model are solved by numerical method Runge-Kutta fourth order

Modelagem matemática para a dispersão de fungos fitopatogênicos via autômatos celulares

Brazil is a major world producer and exporter of agricultural products like soybeans, sugar, coffee, orange and tobacoo. However, the action of phytopathogenic fungi has been one of the largest challenges encountered in the field as they are responsible for approximately 25 to 50 per cent of losses in crops of fruits and vegetables. The presence of these pathogens is always a problem, because the damage on the tissues and organs promote lesions which decreses growth vegetation and often leads the individual (host) to death. Therefore, it is crucial to understand the process of spreading of these pathogens in the field to develop strategies which prevent the epidemics caused by them. In this study, the dispersal of fungi phytopathogenic in the field was modeled using the automata cellular formalism. The growth rate of infected plants population was measured by the radius of gyration and the influence of host different susceptibility degrees into the disease spread was assessed. The spatial anisotropy related to the plant-to-plant space and the system’s response to distinct seasonal patterns were also evaluated. The results obtained by a mean field model (spatially implicit models) emphasized the importance of the spatial structure on the spreading process, and dispersal patterns obtained by simulation (using a cellular automata) were in agreement with thse observed in data. All computational implementation was held in language Cl

Modelagem matemática e simulação computacional de derrames de óleo em corpos d'água: um estudo de caso na região do Porto de Santos

The objective of this work is to accomplish studies of mathematical modeling and computational simulation of oil spills in water bodies. For this reason, a case study in the region of the Port of Santos was developed using the softwares SisBAHIA and ADIOS2 for the simulation of different hypothetical scenarios of oil spilling on the surface of water, aiming to obtain information that contribute to the reduction of the possible environmental impacts that can be caused by such accidents. The results generated in the different simulations had shown that the obtained data can be extremely useful to subsidize the elaboration of mitigation plans, the mapping of risk areas or even the proposal of emergencial strategies in cases of real accidents, configuring the modeling and the simulation as important and modern tools for the environmental planning and management.

Um Estudo da modelagem matemática na educação matemática e seu potencial para o desenvolvimento do pensamento crítico

The implementation of mathematical modeling curricula represents a great challenge, both for teachers and students, since it escapes the traditional teaching methodology, i.e. when the teacher speaks to his/her students. This work presents, at least, one possible way of implementing mathematical modeling inside the classroom, and how this way encourage critical thinking in students. I see mathematical modeling as an opportunity to minimize student's rejection and increase their interest for mathematics, promoting their competencies to give points of scene in every day situations. The history of mathematics shows that mathematical modeling had developed since almost the beginning of human live, when men needed to solve problems that arose in the course of his life. Mathematics has become more and more abstract, but it is important to recall what was originated it. In this way, it is possible to make this subject matter more meaningful to students. I will make an introduction of mathematical modeling, presenting some important definitions. Based on this framework, I will present a classroom instruction understand on a 7 th grade classroom by myself. With this in instruction I sustain the idea that mathematical modeling has, in fact, a great potential to improve the quality of mathematics teaching. I also sustain that, the development of critical thinking, as a competence, way be achieved with it

Modelagem matemática aplicada a precificação de opções

The mathematical models are critical to determine theoretical prices of options and analyze whether they are overrated or underrated. This information strongly influence in operations carried out by the investor. Therefore, it is necessary that the employee model present high degree of reliability and be consistent with the reality of investment to which it is intended. In this sense, this dissertation aims to apply the steps of mathematical modeling in the Pricing of options for decision making in the investment of a hydroelectric power plant. Was used a Monte Carlo simulation, with the Latin Hypercube Method, to determine the volatility of returns of the project. In order to validate the proposed model, compared to the results found by the Binomial Model, which is one of the models most used in this type of investment. The results reinforce the hypothesis that the mathematical modeling with the Binomial Model is critical to investment decision-making in hydroelectric power

Propostas de modelagem matemática para o problema de restauração de sistemas de distribuição de energia elétrica radiais

Pós-graduação em Engenharia Elétrica - FEIS

Aplicação da modelagem matemática no estudo de funções: uma proposta de atividade para as Escolas de Tempo Integral (ETI)

Pós-graduação em Matemática em Rede Nacional - IBILCE