Results 271 to 280 of about 621,582 (323)
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Convex Analysis on the Hermitian Matrices
SIAM Journal on Optimization, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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1995
This chapter discusses the elements of convex analysis which are very important in the study of optimization problems. In section 2.1 the fundamentals of convex sets are discussed. In section 2.2 the subject of convex and concave functions is presented, while in section 2.3 generalizations of convex and concave functions are outlined.
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This chapter discusses the elements of convex analysis which are very important in the study of optimization problems. In section 2.1 the fundamentals of convex sets are discussed. In section 2.2 the subject of convex and concave functions is presented, while in section 2.3 generalizations of convex and concave functions are outlined.
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Fundamentals of Convex Analysis
2001International ...
Hiriart-Urruty, Jean-Baptiste +1 more
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Preliminaries: Convex Analysis and Convex Programming
2001In this chapter, we give some definitions and results connected with convex analysis, convex programming, and Lagrangian duality. In Part Two, these concepts and results are utilized in developing suitable optimality conditions and numerical methods for solving some convex problems.
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Differentials and Convex Analysis
2021Abstract Mathematical tools necessary to the argument are presented and discussed. The focus is on concepts borrowed from the convex analysis and variational analysis literatures. The chapter starts by introducing the notions of a correspondence, upper hemi-continuity, and lower hemi-continuity.
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Computer Graphics and Image Processing, 1972
The analysis of shape is not well understood. To further our understanding it seemsreasonable to concentrate on one aspect of the problem. This paper deals with the analysis of convex blobs. The aim of the analysis is to extract fragments of a blob which are perceptually meaningful. This is done by attributing to each point a set of neigh boring points
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The analysis of shape is not well understood. To further our understanding it seemsreasonable to concentrate on one aspect of the problem. This paper deals with the analysis of convex blobs. The aim of the analysis is to extract fragments of a blob which are perceptually meaningful. This is done by attributing to each point a set of neigh boring points
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1993
In classical real analysis, the gradient of a differentiable function f : ℝn → ℝ. plays a key role - to say the least. Considering this gradient as a mapping x ↦ s(x) = ∇f(x) from (some subset X of) ℝn to (some subset S of) ℝn, an interesting object is then its inverse: to a given s ∈ S, associate the x ∈ X such that s = ∇f(x).
Jean-Baptiste Hiriart-Urruty +1 more
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In classical real analysis, the gradient of a differentiable function f : ℝn → ℝ. plays a key role - to say the least. Considering this gradient as a mapping x ↦ s(x) = ∇f(x) from (some subset X of) ℝn to (some subset S of) ℝn, an interesting object is then its inverse: to a given s ∈ S, associate the x ∈ X such that s = ∇f(x).
Jean-Baptiste Hiriart-Urruty +1 more
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Motion planning around obstacles with convex optimization
Science Robotics, 2023Tobia Marcucci
exaly