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Mixed-Integer Optimization I, Section 2 (Mixed-integer linear optimization), Introduction
Stein, O.
2022
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Mixed-Integer Optimization I, Section 1.2 (Solvability)
Stein, O.
2022
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Mixed-Integer Optimization I, Section 1.1 (Examples and terminology), part 3
Stein, O.
2022
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Mixed-Integer Optimization I, Section 1.1 (Examples and terminology), part 2
Stein, O.
2022
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Mixed-Integer Optimization I, Section 1.1 (Examples and terminology), part 1
Stein, O.
2022
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Parametric Optimization, Section 4.2.4 (An equivalent optimization problem), Section 4.2.5 (Regularization of the gap function), Section 4.2.6 (Continuity of the gap fct.), Section 4.2.7 (Differentiability of the gap fct.)
Stein, O.
2022
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Reallabore: Auf dem Weg zu Identität, Ownership und Verstetigung
Parodi, O.
2022. tF-Symposium: Lösungen entwickeln und erproben (2022), Online, March 17, 2022
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Parametric Optimization, Section 4.2.2 (The combined KKT system)
Stein, O.
2022
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Parametric Optimization, Section 4.2.1 (Nash game definitions and examples)
Stein, O.
2022
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Parametric Optimization, Section 4.1.4 (Reduction Ansatz)
Stein, O.
2022
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Parametric Optimization, Section 4.1.3 (Optimality conditions)
Stein, O.
2022
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Parametric Optimization, Section 4.1.2 (Topological properties of the feasible set)
Stein, O.
2022
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Parametric Optimization, Section 4.1.1 (SIP examples)
Stein, O.
2022
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Parametric Optimization, Section 3.7 (Directional sensitivity of minimal values)
Stein, O.
2022
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Parametric Optimization, Section 3.5 (Continuity properties of constrained minimal values), Section 3.6 (Continuity properties of constrained minimal points)
Stein, O.
2022
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Parametric Optimization, Section 3.4 (Continuity properties of the feasible set mapping)
Stein, O.
2022
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Parametric Optimization, Section 3.3.3 (Semicontinuity properties of setvalued mappings)
Stein, O.
2022
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Parametric Optimization, Section 3.3.2 (Closedness and local boundedness of unconstrained minimal points)
Stein, O.
2022
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Parametric Optimization, Section 3.3.1 (Basic concepts for setvalued mappings)
Stein, O.
2022
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Parametric Optimization, Section 3.2.5 (Continuity of unconstrained minimal values)
Stein, O.
2022
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Parametric Optimization, Section 3.2.4 (Lower semicontinuity of minimal values), part 3
Stein, O.
2022
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Parametric Optimization
Stein, O.
2022
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Parametric Optimization, Section 3.2.4 (Lower semicontinuity of unconstrained minimal values), part 1
Stein, O.
2022
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Parametric Optimization, Section 3.2.3 (Upper semicontinuity of unconstrained minimal values)
Stein, O.
2022
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Parametric Optimization, Section 3.2.2 (Applications and characterizations for semicontinuity properties of functions)
Stein, O.
2022
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Parametric Optimization, Section 3.2.1 (Semicontinuity of functions)
Stein, O.
2022
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Parametric Optimization, Section 3.1 (Preliminary thoughts)
Stein, O.
2022
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Parametric Optimization, Section 2.3.7 (Sensitivity of nondegenerate minimal values), part 2
Stein, O.
2022
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Parametric Optimization, Section 2.3.7 (Sensitivity of nondegenerate minimal values), part 1
Stein, O.
2022
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Parametric Optimization, Section 2.3.6 (Sensitivity of nondegenerate minimal points)
Stein, O.
2022
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Parametric Optimization, Section 2.3.5 (Stability of nondegenerate minimal points)
Stein, O.
2022
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Parametric Optimization, Section 2.3.3 (Nondegenerate critical points), Section 2.3.4 (Linear and quadratic indices)
Stein, O.
2022
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Parametric Optimization, Section 2.3.2 (Three regularity conditions)
Stein, O.
2022
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Parametric Optimization, Section 2.3.1 (Criticality notions for constrained problems)
Stein, O.
2022
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Parametric Optimization, Section 2.2.6 (Sensitivity of nondegenerate minimal values)
Stein, O.
2022
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Parametric Optimization, Section 2.2.5 (Sensitivity of nondegenerate minimal points)
Stein, O.
2022
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Parametric Optimization, Section 2.2.3 (Quadratic indices), Section 2.2.4 (Stability of nondegenerate minimal points)
Stein, O.
2022
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Parametric Optimization, Section 2.2.2 (Nondegenerate critical points)
Stein, O.
2022
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Parametric Optimization, Section 2.2.1 (Preliminary thoughts)
Stein, O.
2022
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Parametric Optimization, Section 2.1 (Basic terminology and notation)
Stein, O.
2022
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Parametric Optimization, Section 1.9 (Counter examples)
Stein, O.
2022
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Parametric Optimization, Section 1.6 (Bilevel optimization), Section 1.7 (Nash games), Section 1.8 (Multiobjective optimization)
Stein, O.
2022
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Parametric Optimization, Section 1.3 (Algorithms and a fourth key question), Section 1.4 (Decomposition methods), Section 1.5 (Robust and semi-infinite optimization)
Stein, O.
2022
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Parametric Optimization, Section 1.1 (Shadow prices and three key questions), Section 1.2 (Hotelling’s lemma and the same questions)
Stein, O.
2022
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Convex Analysis, Section 5.6 (A choice of the parameter r)
Stein, O.
2022
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Convex Analysis, Section 5.5 (Monotonicity of the convex subdifferential)
Stein, O.
2022
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Convex Analysis, Section 5.4 (Computation of global Lipschitz constants)
Stein, O.
2022
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Convex Analysis, Section 5.2 (A mean value theorem for convex functions), Section 5.3 (Existence of global Lipschitz constants)
Stein, O.
2022
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Convex Analysis, Section 5.1 (Safety distance in the set approximation example)
Stein, O.
2022
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Convex Analysis, Section 4.5 (The Theorem of Lewis and Pang for g_0 under the Slater condition)
Stein, O.
2022
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Convex Analysis, Section 4.4 (The Theorem of Lewis and Pang for general convex functions under the Slater condition)
Stein, O.
2022
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Convex Analysis, Section 4.3 (Sudifferential and normal cone)
Stein, O.
2022
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Convex Analysis, Section 4.2 (One-sided directional derivative and first order cones)
Stein, O.
2022
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Convex Analysis, Section 4.1 (Convex subdifferential), part 7 (Computation of one-sided directional derivatives, rules of computation)
Stein, O.
2022
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Convex Analysis, Section 4.1 (Convex subdifferential), part 6 (Semi-continuity properties)
Stein, O.
2022
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Convex Analysis, Section 4.1 (Convex subdifferential), part 5 (Constraint Qualifications, continued)
Stein, O.
2022
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Convex Analysis, Section 4.1 (Convex subdifferential), part 4 (Constraint Qualifications)
Stein, O.
2022
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Convex Analysis, Section 4.1 (Convex subdifferential), part 3 (Computation)
Stein, O.
2022
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Convex Analysis, Section 4.1 (Convex subdifferential), part 2 (Critical points)
Stein, O.
2022
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Convex Analysis, Section 4.1 (Convex subdifferential), part 1 (Examples)
Stein, O.
2022
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Convex Analysis, Section 3.4 (A concretion of the Theorem of Lewis and Pang)
Stein, O.
2022
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Convex Analysis, Section 3.3 (The Theorem of Lewis and Pang for general convex functions)
Stein, O.
2022
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Convex Analysis, Section 3.2 (One-sided directional differentiability of convex functions)
Stein, O.
2022
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Convex Analysis, Section 3 (Smoothness properties of convex functions); Section 3.1 (Local Lipschitz continuity of convex functions)
Stein, O.
2022
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Convex Analysis, Section 2.5 (Best-possible Hoffman constants in the smooth case), part 2
Stein, O.
2022
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Convex Analysis, Section 2.5 (Best-possible Hoffman constants in the smooth case), part 1
Stein, O.
2022
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Convex Analysis, Section 2.4 (Supporting hyperplanes)
Stein, O.
2022
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Convex Analysis, Section 2.3 (Normal cones), part 3
Stein, O.
2022
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Convex Analysis, Section 2.3 (Normal cones), part 2
Stein, O.
2022
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Convex Analysis, Section 2.3 (Normal cones), part 1
Stein, O.
2022
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Convex Analysis, Section 2.2 (Existence of global error bounds)
Stein, O.
2022
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Convex Analysis, Section 2.1 (Maximal distance in obstacle smoothing)
Stein, O.
2022
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Convex Analysis, Section 1.7 (Optimality conditions for smooth convex problems)
Stein, O.
2022
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Convex Analysis, Section 1.6 (Constraint qualifications)
Stein, O.
2022
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Convex Analysis, Section 1.5 (Convexity of entropic smoothing)
Stein, O.
2022
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Convex Analysis, Section 1.4 (Smooth convex functions)
Stein, O.
2022
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Convex Analysis, Section 1.3 (Convexity), part 2
Stein, O.
2022
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Convex Analysis, Section 1.3 (Convexity), part 1
Stein, O.
2022
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Convex Analysis, Section 1.2 (Entropic smoothing)
Stein, O.
2022
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Convex Analysis, Section 1.1 (The set approximation example), part 2
Stein, O.
2022
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Convex Analysis, Section 1.1 (The set approximation example), part 1
Stein, O.
2022
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Global Optimization II, Section 3.9.3 (A variation of Alg. 3.5)
Stein, O.
2022
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Global Optimization II, Section 3.9.2 (Direct application to Alg. 3.5)
Stein, O.
2022
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Global Optimization II, Section 3.9.1 (Properties of Lipschitz continuous functions), part 2
Stein, O.
2022
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Global Optimization II, Section 3.9.1 (Properties of Lipschitz continuous functions), part 1
Stein, O.
2022
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Global Optimization II, Section 3.8 (Branch-and-bound for nonconvex problems)
Stein, O.
2022
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Global Optimization II, Section 3.7 (Branch-and-bound for convexly constrained problems)
Stein, O.
2022
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Global Optimization II, Section 3.6 (Branch-and-bound for box-constrained problems), part 4
Stein, O.
2022
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Global Optimization II, Section 3.6 (Branch-and-bound for box-constrained problems), part 3
Stein, O.
2022
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Global Optimization II, Section 3.6 (Branch-and-bound for box-constrained problems), part 2
Stein, O.
2022
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Global Optimization II, Section 3.6 (Branch-and-bound for box-constrained problems), part 1
Stein, O.
2022
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Global Optimization II, Section 3.5 (Uniformly refined grids), part 3
Stein, O.
2022
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Global Optimization II, Section 3.5 (Uniformly refined grids), part 2
Stein, O.
2022
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Global Optimization II, Section 3.5 (Uniformly refined grids), part 1
Stein, O.
2022
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Global Optimization II, Section 3.4 (Convex relaxation for the alphaBB method), part 5
Stein, O.
2022
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Global Optimization II, Section 3.4 (Convex relaxation for the alphaBB method), part 4
Stein, O.
2022
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Global Optimization II, Section 3.4 (Convex relaxation for the alphaBB method), part 3
Stein, O.
2022
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Global Optimization II, Section 3.4 (Convex relaxation for the alphaBB method), part 2
Stein, O.
2022
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Global Optimization II, Section 3.4 (Convex relaxation for the alphaBB method), part 1
Stein, O.
2022
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Techno-ökonomische und ökologische Analyse von Kunststoff-Recyclingtechnologien - eine deutsche Fallstudie
Volk, R.; Stallkamp, C.
2022, March 16. Chemisches Recycling: Ausweg oder Irrweg? (2022), Online, March 16, 2022
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