Eduardo Souza de Cursi,
E Souza de Cursi,
Rubens Sampaio
John Wiley & Sons
e druk, 2010
9781848211773
Modeling and Convexity
Specificaties
Gebonden, 504 blz.
|
Engels
John Wiley & Sons |
e druk, 2010
ISBN13: 9781848211773
Rubricering
Onderdeel van serie
ISTE
Verwachte levertijd ongeveer 16 werkdagen
Samenvatting
This reference book gives the reader a complete but comprehensive presentation of the foundations of convex analysis and presents applications to significant situations in engineering. The presentation of the theory is self–contained and the proof of all the essential results is given. The examples consider meaningful situations such as the modeling of curvilinear structures, the motion of a mass of people or the solidification of a material. Non convex situations are considered by means of relaxation methods and the connections between probability and convexity are explored and exploited in order to generate numerical algorithms.
Specificaties
ISBN13:9781848211773
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:504
Uitgever:John Wiley & Sons
Serie:ISTE
Inhoudsopgave
<p>Introduction ix</p>
<p>PART 1 MOTIVATION: EXAMPLES AND APPLICATIONS 1</p>
<p>Chapter 1 Curvilinear Continuous Media 3</p>
<p>1.1 One–dimensional curvilinear media 4</p>
<p>1.2 Supple membranes 22</p>
<p>Chapter 2 Unilateral System Dynamics 33</p>
<p>2.1 Dynamics of ideally flexible strings 34</p>
<p>2.2 Contact dynamics 40</p>
<p>Chapter 3 A Simplified Model of Fusion/Solidification 53</p>
<p>3.1 A simplified model of phase transition 53</p>
<p>Chapter 4 Minimization of a Non–Convex Function 61</p>
<p>4.1 Probabilities, convexity and global optimization 61</p>
<p>Chapter 5 Simple Models of Plasticity 69</p>
<p>5.1 Ideal elastoplasticity 72</p>
<p>PART 2 THEORETICAL ELEMENTS 77</p>
<p>Chapter 6 Elements of Set Theory 79</p>
<p>6.1 Elementary notions and operations on sets 80</p>
<p>6.2 The axiomof choice 83</p>
<p>6.3 Zorn′s lemma 89</p>
<p>Chapter 7 Real Hilbert Spaces 97</p>
<p>7.1 Scalar product and norm 99</p>
<p>7.2 Bases anddimensions 107</p>
<p>7.3 Open sets and closed sets 114</p>
<p>7.4 Sequences 123</p>
<p>7.5 Linear functionals 137</p>
<p>7.6 Complete space 146</p>
<p>7.7 Orthogonal projection onto a vector subspace 160</p>
<p>7.8 Riesz′s representationtheory 167</p>
<p>7.9 Weak topology 173</p>
<p>7.10 Separable spaces: Hilbert bases and series 184</p>
<p>Chapter 8 Convex Sets 201</p>
<p>8.1 Hyperplanes 201</p>
<p>8.2 Convexsets 208</p>
<p>8.3 Convexhulls 212</p>
<p>8.4 Orthogonal projection on a convex set 217</p>
<p>8.5 Separationtheorems 228</p>
<p>8.6 Convexcone 241</p>
<p>Chapter 9 Functionals on a Hilbert Space 253</p>
<p>9.1 Basic notions 254</p>
<p>9.2 Convexfunctionals 261</p>
<p>9.3 Semi–continuous functionals 271</p>
<p>9.4 Affine functionals 298</p>
<p>9.5 Convexification and LSC regularization 303</p>
<p>9.6 Conjugate functionals 320</p>
<p>9.7 Subdifferentiability 331</p>
<p>Chapter 10 Optimization 361</p>
<p>10.1 The optimization problem 361</p>
<p>10.2 Basic notions 362</p>
<p>10.3 Fundamental results 374</p>
<p>Chapter 11 Variational Problems 421</p>
<p>11.1 Fundamental notions 421</p>
<p>11.2 Zeros of operators 455</p>
<p>11.3 Variational inequations 463</p>
<p>11.4 Evolutionequations 469</p>
<p>Bibliography 487</p>
<p>Index 495</p>
<p>PART 1 MOTIVATION: EXAMPLES AND APPLICATIONS 1</p>
<p>Chapter 1 Curvilinear Continuous Media 3</p>
<p>1.1 One–dimensional curvilinear media 4</p>
<p>1.2 Supple membranes 22</p>
<p>Chapter 2 Unilateral System Dynamics 33</p>
<p>2.1 Dynamics of ideally flexible strings 34</p>
<p>2.2 Contact dynamics 40</p>
<p>Chapter 3 A Simplified Model of Fusion/Solidification 53</p>
<p>3.1 A simplified model of phase transition 53</p>
<p>Chapter 4 Minimization of a Non–Convex Function 61</p>
<p>4.1 Probabilities, convexity and global optimization 61</p>
<p>Chapter 5 Simple Models of Plasticity 69</p>
<p>5.1 Ideal elastoplasticity 72</p>
<p>PART 2 THEORETICAL ELEMENTS 77</p>
<p>Chapter 6 Elements of Set Theory 79</p>
<p>6.1 Elementary notions and operations on sets 80</p>
<p>6.2 The axiomof choice 83</p>
<p>6.3 Zorn′s lemma 89</p>
<p>Chapter 7 Real Hilbert Spaces 97</p>
<p>7.1 Scalar product and norm 99</p>
<p>7.2 Bases anddimensions 107</p>
<p>7.3 Open sets and closed sets 114</p>
<p>7.4 Sequences 123</p>
<p>7.5 Linear functionals 137</p>
<p>7.6 Complete space 146</p>
<p>7.7 Orthogonal projection onto a vector subspace 160</p>
<p>7.8 Riesz′s representationtheory 167</p>
<p>7.9 Weak topology 173</p>
<p>7.10 Separable spaces: Hilbert bases and series 184</p>
<p>Chapter 8 Convex Sets 201</p>
<p>8.1 Hyperplanes 201</p>
<p>8.2 Convexsets 208</p>
<p>8.3 Convexhulls 212</p>
<p>8.4 Orthogonal projection on a convex set 217</p>
<p>8.5 Separationtheorems 228</p>
<p>8.6 Convexcone 241</p>
<p>Chapter 9 Functionals on a Hilbert Space 253</p>
<p>9.1 Basic notions 254</p>
<p>9.2 Convexfunctionals 261</p>
<p>9.3 Semi–continuous functionals 271</p>
<p>9.4 Affine functionals 298</p>
<p>9.5 Convexification and LSC regularization 303</p>
<p>9.6 Conjugate functionals 320</p>
<p>9.7 Subdifferentiability 331</p>
<p>Chapter 10 Optimization 361</p>
<p>10.1 The optimization problem 361</p>
<p>10.2 Basic notions 362</p>
<p>10.3 Fundamental results 374</p>
<p>Chapter 11 Variational Problems 421</p>
<p>11.1 Fundamental notions 421</p>
<p>11.2 Zeros of operators 455</p>
<p>11.3 Variational inequations 463</p>
<p>11.4 Evolutionequations 469</p>
<p>Bibliography 487</p>
<p>Index 495</p>