Finite Element Approximation for Optimal Shape Design: Theory and ApplicationsExplains how to speed the optimal shape design process using a computer. Outlines the problems inherent in optimal shape design and discusses methods of their solution. Concentrates on finite element approximation and describes numerical realization of optimization techniques. Treats optimal design problems via the optimal control theory when the state systems are governed by variational inequalities. Provides useful background information, followed by numerous approaches to optimal shape design, all supported by illustrative examples. Appendices provide algorithms and numerous examples and their calculations are included. |
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Page 6
... space equipped with the norm || · || x . A set MC X is called compact if it is possible from an arbitrary sequence ... space of X ) we have lim ( f , un ) = ( f , uo ) · ∞18 Theorem 1.3 . Let F : M → → R1 be a continuous functional on ...
... space equipped with the norm || · || x . A set MC X is called compact if it is possible from an arbitrary sequence ... space of X ) we have lim ( f , un ) = ( f , uo ) · ∞18 Theorem 1.3 . Let F : M → → R1 be a continuous functional on ...
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... space Sh , namely ( 1.72 ) Sh = { vn | vn € C ( Ñ ) , vn \ T € P1 VT € Th } , where P1 is the space of the polynomials in two variables of degree less than or equal to 1 ( i.e. if p E P1 then p ( x1 , x2 ) = α1x1 + a2x2 + а3 , а ; € R1 ) ...
... space Sh , namely ( 1.72 ) Sh = { vn | vn € C ( Ñ ) , vn \ T € P1 VT € Th } , where P1 is the space of the polynomials in two variables of degree less than or equal to 1 ( i.e. if p E P1 then p ( x1 , x2 ) = α1x1 + a2x2 + а3 , а ; € R1 ) ...
Page 302
... space onto its closed convex subset . For more detailed analysis see Mignot ( 1976 ) and Haraux ( 1977 ) . Let us begin with some notation . Let H be a real Hilbert space , equipped with a scalar product ( · , · ) . Let a : HxH → R1 be ...
... space onto its closed convex subset . For more detailed analysis see Mignot ( 1976 ) and Haraux ( 1977 ) . Let us begin with some notation . Let H be a real Hilbert space , equipped with a scalar product ( · , · ) . Let a : HxH → R1 be ...
Contents
Preliminaries | 1 |
Abstract setting of optimal shape design problem and | 28 |
Optimal shape design of systems governed by a unilateral | 53 |
Copyright | |
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algorithm Appendix applied approximation boundary value problem C₁ Céa Computer constraints contact problems convex convex set cost functional defined denote design sensitivity analysis differentiable discrete domain elastic element method exist a subsequence Figure Find finite element finite element method follows formula given Glowinski Gm(a H¹(Î Haslinger Haug Hlaváček Ir(an ITERATION jEJk ji Eli Komkov Lagrange multipliers Lemma lim inf lim sup linear Lipschitz continuous lower semicontinuous matrix minimization Nečas Neittaanmäki nodes nonlinear programming nonsmooth Numerical results obtain optimal control optimal design optimal pair optimal shape design parameter Pironneau Proof results for Example Section sequence shape design problems Shape optimization Sokolowski solves P(a structural design structural optimization subgradient subset T(Un T₁ Theorem triangulation un(an variational inequality vector w₁ Zolesio г₁