Computational Mathematics Driven by Industrial Problems: Lectures given at the 1st Session of the Centro Internazionale Matematico Estivo (C.I.M.E.) held in Martina Franca, Italy, June 21-27, 1999Springer Science & Business Media, 16. nov. 2000 - 426 sider These lecture notes by very authoritative scientists survey recent advances of mathematics driven by industrial application showing not only how mathematics is applied to industry but also how mathematics has drawn benefit from interaction with real-word problems. The famous David Report underlines that innovative high technology depends crucially for its development on innovation in mathematics. The speakers include three recent presidents of ECMI, one of ECCOMAS (in Europe) and the president of SIAM. |
Andre utgaver - Vis alle
Computational Mathematics Driven by Industrial Problems: Lectures given at ... R. Burkard,P. Deuflhard,A. Jameson,J.-L. Lions,G. Strang Ingen forhåndsvisning tilgjengelig - 2000 |
Computational Mathematics Driven by Industrial Problems: Lectures given at ... R. Burkard,P. Deuflhard,A. Jameson,J.-L. Lions,G. Strang Ingen forhåndsvisning tilgjengelig - 2014 |
Vanlige uttrykk og setninger
adjoint equation aerodynamic airfoil algorithm analysis applied approximation basis boundary conditions complexity computational configuration control problem convergence corresponding cost function crystal cycle defined denotes design point Deuflhard differential equations discrete domain drag coefficient drag reduction dynamical edge eigenvalue Figure filter bank flow equations forcing frequency gradient graph greedy algorithm grid ill-posed problems initial input Inverse Problems inviscid iteration Kruskal's algorithm length lift coefficient linear lowpass Mach mathematical matrix mesh MG methods minimum spanning tree multigrid multilevel multiplicative Navier-Stokes equations node nonlinear nucleation operator optimal control orthogonal output parameter partial differential equation phase polymers polynomial pressure produce radiative reduced Reynolds number samples Section shortest path signal simulations sinusoidal slot smooth solution solve space span station Steiner tree subspace temperature transform u₁ V₁ variables variation vector viscous wavelet wing zero