Michael Fischer Livres

Intelligent saving and investing are crucial in today's financial landscape, where relying solely on others for decisions can lead to poor outcomes. The book emphasizes the importance of understanding the complete picture rather than relying on biased snippets of information. It advocates for a fact-based approach to financial decisions, empowering readers to take control of their investments and savings for better financial security.

Providing a history of experimental methods and frameworks in anthropology from the 1920s to the present, Michael M. J. Fischer draws on his real world, multi-causal, multi-scale, and multi-locale research to rebuild theory for the twenty-first century.

The narrative unfolds as a group of friends embarks on an enchanting adventure into a fantastical world where ice hockey comes to life. This fully illustrated color edition by artist Michael Fischer captivates readers with its imaginative storytelling and stunning visuals. Ideal for collectors and suitable for readers of all ages, it promises to be a timeless classic that celebrates the joy of friendship and the magic of sports.

Examining the work of key Southeast and East Asian artists, Michael M. J. Fischer calls for a new anthropology of the arts that attends to the materalities and technologies of the world as it exists today.

Der Band greift mit seinem interdisziplinären Zugriff das wachsende Interesse der internationalen Forschung für den Stellenwert der Musik in den neuzeitlichen europäischen „Konfessionskulturen“ auf. Die Beiträge thematisieren im zeitlichen Längsschnitt Räume, mediale Erscheinungsformen und Funktionen der Musik.

Shape optimization problems related to complex fluids are significant in mathematics, physics, and engineering. These problems involve partial differential equations and represent an active research area in mathematical science. Notable contributions to the mathematical study of shape optimization in fluid dynamics have been made by researchers such as Pironneau, Simon, and Bello et al. This thesis examines shape optimization problems governed by the Navier-Stokes and Boussinesq equations, which model the time-dependent flow of particles and their temperature distribution. Given the vast number of optimization variables, modern gradient-based optimization methods utilize the adjoint approach, which necessitates the differentiability of the control-to-state operator linked to the differential equation in a strong topology. This work addresses the differentiability of this operator through the method of mapping by Murat and Simon applied to the incompressible, unsteady Boussinesq equations. Additionally, the thesis explores the analytic properties of the adjoint linearized Boussinesq operator for rigorous application of the adjoint approach, validating theoretical findings through an adjoint-based optimization framework. The method of mapping is also applied to the discrete system from a P1/P1 discretization of the Navier-Stokes equations, focusing on the differentiability of the discrete control-to-state operator while ensuring