Preface |
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vii | |
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1 | (40) |
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Convex Sets. Main Definitions, Some Interesting Examples and Problems |
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1 | (6) |
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Properties of the Convex Hull. Caratheodory's Theorem |
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7 | (5) |
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An Application: Positive Polynomials |
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12 | (5) |
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Theorems of Radon and Helly |
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17 | (4) |
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Applications of Helly's Theorem in Combinatorial Geometry |
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21 | (3) |
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An Application to Approximation |
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24 | (4) |
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28 | (5) |
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Application: Convex Sets and Linear Transformations |
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33 | (4) |
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Polyhedra and Linear Transformations |
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37 | (2) |
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39 | (2) |
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41 | (64) |
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41 | (6) |
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Convex Sets in Euclidean Space |
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47 | (4) |
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Extreme Points. The Krein-Milman Theorem for Euclidean Space |
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51 | (2) |
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Extreme Points of Polyhedra |
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53 | (3) |
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56 | (2) |
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The Permutation Polytope and the Schur-Horn Theorem |
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58 | (2) |
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The Transportation Polyhedron |
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60 | (5) |
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65 | (2) |
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The Moment Curve and the Moment Cone |
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67 | (3) |
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An Application: ``Double Precision'' Formulas for Numerical Integration |
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70 | (3) |
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The Cone of Non-negative Polynomials |
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73 | (5) |
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The Cone of Positive Semidefinite Matrices |
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78 | (5) |
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Linear Equations in Positive Semidefinite Matrices |
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83 | (6) |
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Applications: Quadratic Convexity Theorems |
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89 | (5) |
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Applications: Problems of Graph Realizability |
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94 | (5) |
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99 | (4) |
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103 | (2) |
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Convex Sets in Topological Vector Spaces |
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105 | (38) |
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Separation Theorems in Euclidean Space and Beyond |
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105 | (4) |
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Topological Vector Spaces, Convex Sets and Hyperplanes |
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109 | (8) |
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Separation Theorems in Topological Vector Spaces |
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117 | (4) |
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The Krein-Milman Theorem for Topological Vector Spaces |
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121 | (2) |
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123 | (3) |
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An Application: Problems of Linear Optimal Control |
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126 | (4) |
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An Application: The Lyapunov Convexity Theorem |
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130 | (3) |
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The ``Simplex'' of Probability Measures |
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133 | (3) |
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Extreme Points of the Intersection. Applications |
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136 | (5) |
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141 | (2) |
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Polarity, Duality and Linear Programming |
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143 | (60) |
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Polarity in Euclidean Space |
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143 | (7) |
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An Application: Recognizing Points in the Moment Cone |
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150 | (4) |
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154 | (3) |
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Duality of Topological Vector Spaces |
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157 | (3) |
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Ordering a Vector Space by a Cone |
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160 | (2) |
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Linear Programming Problems |
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162 | (4) |
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166 | (6) |
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Polyhedral Linear Programming |
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172 | (4) |
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An Application: The Transportation Problem |
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176 | (2) |
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178 | (4) |
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An Application: The Clique and Chromatic Numbers of a Graph |
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182 | (3) |
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185 | (6) |
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Uniform Approximation as a Linear Programming Problem |
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191 | (5) |
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The Mass-Transfer Problem |
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196 | (6) |
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202 | (1) |
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Convex Bodies and Ellipsoids |
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203 | (46) |
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203 | (4) |
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The Maximum Volume Ellipsoid of a Convex Body |
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207 | (9) |
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Norms and Their Approximations |
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216 | (9) |
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225 | (7) |
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The Gaussian Measure on Euclidean Space |
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232 | (8) |
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Applications to Low Rank Approximations of Matrices |
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240 | (4) |
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The Measure and Metric on the Unit Sphere |
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244 | (4) |
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248 | (1) |
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249 | (30) |
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249 | (5) |
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The Facial Structure of the Permutation Polytope |
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254 | (4) |
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The Euler-Poincare Formula |
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258 | (4) |
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Polytopes with Many Faces: Cyclic Polytopes |
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262 | (2) |
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264 | (3) |
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The h-vector of a Simple Polytope. Dehn-Sommerville Equations |
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267 | (3) |
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270 | (4) |
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Centrally Symmetric Polytopes |
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274 | (3) |
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277 | (2) |
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Lattices and Convex Bodies |
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279 | (46) |
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279 | (7) |
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The Determinant of a Lattice |
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286 | (7) |
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Minkowski's Convex Body Theorem |
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293 | (5) |
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Applications: Sums of Squares and Rational Approximations |
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298 | (4) |
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302 | (3) |
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The Minkowski-Hlawka Theorem |
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305 | (4) |
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309 | (6) |
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315 | (4) |
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Constructing a Short Vector and a Reduced Basis |
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319 | (5) |
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324 | (1) |
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Lattice Points and Polyhedra |
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325 | (32) |
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Generating Functions and Simple Rational Cones |
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325 | (5) |
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Generating Functions and Rational Cones |
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330 | (5) |
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Generating Functions and Rational Polyhedra |
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335 | (6) |
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341 | (8) |
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The Ehrhart Polynomial of a Polytope |
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349 | (4) |
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Example: Totally Unimodular Polytopes |
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353 | (3) |
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356 | (1) |
Bibliography |
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357 | (6) |
Index |
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363 | |