The flow of blood in the human body is a very important component in un-derstanding a number of different ailments such as atherosclerosis and a falseaneurysm. In this thesis, we have utilized Poiseuille’s solution to Navier-Stokesequations with a Newtonian, incompressible fluid flowing laminar with zero ac-celeration in a pipe with non-flexible walls in order to study blood flow in anarterial tree. In order to study and simulate a larger arterial tree we have uti-lized a primitive building block, a bifurcation with one inlet and two outlets,joined together forming a tree. By prescribing an inlet flow and the pressureat every outlet at the bottom of the tree we have shown that we may solvethe system by fixed-point iteration, the Matlab functionfsolve, and Newton’smethod. This way of using primitive building blocks offers a flexible way to doanalysis as it makes it possible to easily change the shape of the tree as well asadding new building blocks such as a block that represents arteriosclerosis.

Submitted by Rosivalda Pereira (mrs.pereira@ufma.br) on 2017-07-18T17:58:49Z No. of bitstreams: 1 JoseRibamarFonseca.pdf: 2069580 bytes, checksum: 26f5e4becf41e81d4359f2bc5df171fa (MD5) / Made available in DSpace on 2017-07-18T17:58:49Z (GMT). No. of bitstreams: 1 JoseRibamarFonseca.pdf: 2069580 bytes, checksum: 26f5e4becf41e81d4359f2bc5df171fa (MD5) Previous issue date: 2017-02-16 / Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPQ) / The adaptive filtering is currently an important tool in the statistical processing of signals, especially when it is necessary to process signals from environments with unknown statistics varying with time. The adaptive filtering study was driven by the development of the Least Mean Square algorithm (LMS) in 1960. Since then other adaptive algorithms have come up with a better performance than LMS algorithm with respect to misadjustment and convergence rate. Among them, the Sigmoidal algorithm (SA) which showed superior to the LMS, for the convergence rate and the mismatch in their implementations infinite precision. In hardware devices such as DSPs, microcontrollers and FPGAs, adaptive algorithms are implemented in finite precision, in general, fixed point arithmetic. When the adaptive filters are implemented in finite precision some effects can affect their performance. Ultimately lead to divergence due to quantization errors specified in the approximation process of the variables involved in the adaptive processing of their original values. Thus, this article aims to analyze the performance of the adaptive algorithm Sigmoidal (SA) in finite precision when implemented using fixed-point arithmetic. In particular, the analysis of its performance curve and mismatch, comparing them in different word lengths (number of bits). The results presented in this article proposes a series of Taylor Ln gradient of cost function (cosh αe) algorithm SA for implementation in finite precision. We analyze its performance curve for different lengths of words. It shows that the algorithm is stable in its performance compared to convergence to different lengths of words, and that the increase in mismatch level at steady state is sensitive or afected by the quantization of the variables involved in the calculations of this algorithm. / A filtragem adaptativa constitui atualmente uma ferramenta importante no processamento estatístico de sinais, especialmente quando é necessário processar sinais provenientes de ambientes com estatísticas desconhecidas que variam com o tempo. O estudo de filtragem adaptativa foi impulsionado com o desenvolvimento do algoritmo Least Mean Square (LMS) em 1960. Desde então outros algoritmos adaptativos têm surgido com um desempenho superior ao algoritmo LMS em relação ao desajuste e à taxa de convergência. Entre eles, o algoritmo Sigmoidal (SA) que se apresentou superior ao LMS, em relação a taxa de convergência e o desajuste em suas implementações na forma analógica. Nos dispositivos de hardware, tais como DSPs, Microcontroladores e FPGAs, os algoritmos adaptativos são implementados na forma digital, onde a precisão é finita, em geral, com aritmética de ponto fixo. Quando os filtros adaptativos são implementados em precisão finita alguns efeitos podem afetar o seu desempenho. Em última análise, levar à divergência devido aos erros de quantização especificados no processo de aproximação dos valores das variáveis envolvidas no processamento adaptativo de seus valores originais. Assim, este trabalho propõe analisar o desempenho do algoritmo adaptativo Sigmoidal (SA) em precisão nita, quando implementado utilizando aritmética de ponto xo. Em particular, a análise de sua curva de desempenho e o desajuste, comparando-os em diferentes comprimentos de palavras (número de bits). Os resultados apresentados neste trabalho propõe uma aproximação em série de Taylor do gradiente da função de custo Ln(cosh αe) do algoritmo SA para implementação em precisão finita. Analisamos a sua curva de desempenho para diferentes comprimentos de palavras. Mostra-se que o algoritmo apresenta estabilidade em seu desempenho em relação à convergência, para diferentes comprimentos de palavras, e que o aumento no nível do desajuste em estado estacionário é sensível ou influenciado pela quantização dos valores das variáveis envolvidas nos cálculos desse algoritmo.

It is well-known that in 2 + 1 dimensions the flux attachment transmutes the statistics of a particle.The aim of this master thesis is to study the dualities between bosons and fermions induced by Abeliantopological gauge fields in 2 + 1 dimensions. Chapter 1 and 2 are reviews of known results about thepath integral quantization of Chern-Simons theory and the regularization of the fermionic path integral.In the following chapters, we will derive the statistical transmutation and various Abelian dualities in2 + 1 dimensions.

Classificação das auto-aplicações de fibrados, com fibra toro, que preservam fibra sobre o círculo, com a propriedade de poderem ser deformadas sobre o círculo a uma aplicação livre de ponto fixo. Ainda, investigamos a relação entre o número de Reidemeister sobre o círculo e a propriedade acima / Classification of all fiber-preserving self-maps of torus bundles over the circle by the property of being able to deform them over the circle into a fixed point free map by a fiberwise homotopy over the circle. We also investigate the relationship between Reidemeister number over the circle and the property above

We establish an Atiyah-Bott-Lefschetz formula for elliptic operators on manifolds with conical singular points.

For general endomorphisms of elliptic complexes on manifolds with conical singularities, the semiclassical asymptotics of the Atiyah-Bott-Lefschetz number is calculated in terms of fixed points of the corresponding canonical transformation of the symplectic space.

In this thesis, the dynamical system is used as a function on afinite group, to show how states change. We investigate the'numberof cycles' and 'length of cycle' under finite groups. Using grouptheory, fixed point, periodic points and some examples, formulas tofind 'number of cycles' and 'length of cycle' are derived. Theexamples used are on finite cyclic group Z_6 with respectto binary operation '+'. Generalization using finite groups ismade. At the end, I compared the dynamical system over finite cyclic groups with the finite non-cyclic groups and then prove the general formulas to find 'number of cycles' and 'length of cycle' for both cyclic and non-cyclic groups.

We consider the problem of finding a common fixed point of an infinite family ${T_n}$ of nonlinear self-mappings of a closed convex subset $C$ of a real Hilbert space $H$. Namely, we want to find a point $x$ with the property (assuming such common fixed points exist): [ xin igcap_{n=1}^infty ext{Fix}(T_n). ] We will use the Krasnoselskii-Mann (KM) Type inertial iterative algorithms of the form $$ x_{n+1} = ((1-alpha_n)I+alpha_nT_n)y_n,quad y_n = x_n + eta_n(x_n-x_{n-1}).eqno(*)$$ We discuss the convergence properties of the sequence ${x_n}$ generated by this algorithm (*). In particular, we prove that ${x_n}$ converges weakly to a common fixed point of the family ${T_n}$ under certain conditions imposed on the sequences ${alpha_n}$ and ${eta_n}$.

In this thesis, we consider the following delay boundary value problem egin{eqnarray*}(BVP)left{begin{array}{l}y'(t)+q(t)f(t,y(sigma(t)))=0, tin(0,1)/{ au}, y(t)=xi(t), tin[- au_{0},0], y(1)=0,end{array} right. end{eqnarray*}, where the functions f and q satisfy certain conditions; $sigma(t)leq t$ is a nonlinear real valued continuous function. We use two different methods to establish some existence criteria for the solution of problem (BVP). We generalize the delay term to a nonlinear function and obtain more general and supplementary results for the known ones about linear delay term due to Agarwal and O¡¦Regan [1] and Jiang and Xu [5].

A long-standing conjecture states that if A is a finite group acting fixed point freely on a finite solvable group G of order coprime to jAj, then the Fitting length of G is bounded by the length of the longest chain of subgroups of A. If A is nilpotent, it is expected that the conjecture is true without the coprimeness condition. We prove that the conjecture without the coprimeness condition is true when A is a cyclic group whose order is a product of three primes which are coprime to 6 and the Sylow 2-subgroups of G are abelian. We also prove that the conjecture without the coprimeness condition is true when A is an abelian group whose order is a product of three primes which are coprime to 6 and jGj is odd.