Nondifferentiable Optimization: Motivations and Applications: Proceedings of an IIASA (International Institute for Applied Systems Analysis) Workshop on Nondifferentiable Optimization Held at Sopron, Hungary, September 17–22, 1984: Lecture Notes in Economics and Mathematical Systems, cartea 255
Editat de Vladimir F. Demyanov, Diethard Pallaschkeen Limba Engleză Paperback – oct 1985
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Specificații
ISBN-13: 9783540159797
ISBN-10: 3540159797
Pagini: 364
Ilustrații: VI, 355 p. 25 illus.
Dimensiuni: 170 x 244 x 19 mm
Greutate: 0.58 kg
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Economics and Mathematical Systems
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540159797
Pagini: 364
Ilustrații: VI, 355 p. 25 illus.
Dimensiuni: 170 x 244 x 19 mm
Greutate: 0.58 kg
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Economics and Mathematical Systems
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
I. Concepts in Nonsmooth Analysis.- Attempts to Approximate a Set-Valued Mapping.- Miscellanies on Nonsmooth Analysis and Optimization.- Bundle Methods, Cutting-Plane Algorithms and ?-Newton Directions.- The Solution of a Nested Nonsmooth Optimization Problem.- Variations on the Theme of Nonsmooth Analysis: Another Subdifferential.- Lipschitzian Stability in Optimization: The Role of Nonsmooth Analysis.- Upper-Semicontinuously Directionally Differentiable Functions.- A New Approach to Clarke’s Gradients in Infinite Dimensions.- II. Multicriteria Optimization and Control Theory.- A Nondifferentiable Approach to Multicriteria Optimization.- Application of a Subdifferential of a Convex Composite Functional to Optimal Control in Variational Inequalities.- On Some Nondifferentiable Problems in Optimal Control.- On Sufficient Conditions for Optimality of Lipschitz Functions and Their Applications to Vector Optimization.- Optimal Control of Hyperbolic Variational Inequalities.- On Duality Theory Related to Approximate Solutions of Vector-Valued Optimization Problems.- III. Algorithms and Optimization Methods.- Seminormal Functions in Optimization Theory.- The General Concept of Cone Approximations in Nondifferentiable Optimization.- An Algorithm for Convex NDO Based on Properties of the Contour Lines of Convex Quadratic Functions.- A Note on the Complexity of an Algorithm for Tchebycheff Approximation.- Descent Methods for Nonsmooth Convex Constrained Minimization.- Stability Properties of Infima and Optimal Solutions of Parametric Optimization Problems.- On Methods for Solving Optimization Problems Without Using Derivatives.- An Accelerated Method for Minimizing a Convex Function of Two Variables.- On the Steepest-Descent Method for a Class of Quasi-DifferentiableOptimization Problems.- A Modified Ellipsoid Method for the Minimization of Convex Functions With Superlinear Convergence (or Finite Termination) for Well-Conditioned C3 Smooth (or Piecewise Linear) Functions.- Numerical Methods for Multiextremal Nonlinear Programming Problems With Nonconvex Constraints.- A Modification of the Cutting-Plane Method With Accelerated Convergence.- A Finite Algorithm for Solving Linear Programs With an Additional Reverse Convex Constraint.- IV. Stochastic Programming and Applications.- Some Remarks on Quasi-Random Optimization.- Optimal Satellite Trajectories: a Source of Difficult Nonsmooth Optimization Problems.- A Reduced Subgradient Algorithm for Network Flow Problems With Convex Nondifferentiable Costs.- An Algorithm for Solving a Water-Pressure-Control Planning Problem With a Nondifferentiable Objective Function.- Quasi-Differentiable Functions in the Optimal Construction of Electrical Circuits.