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Highly Cited

2009

Highly Cited

2009

An insightful, concise, and rigorous treatment of the basic theory of convex sets and functions in finite dimensions, and the… Expand

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Highly Cited

2004

Highly Cited

2004

Optimization is the science of making a best choice in the face of conflicting requirements. Any convex optimization problem has… Expand

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Highly Cited

2003

Highly Cited

2003

Convex programming involves a convex set F ⊆ Rn and a convex cost function c : F → R. The goal of convex programming is to find a… Expand

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Highly Cited

2002

Highly Cited

2002

Let C and Q be nonempty closed convex sets in R N and R M , respectively, and A an M by N real matrix. The split feasibility… Expand

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Highly Cited

2000

Highly Cited

2000

Nonmonotone projected gradient techniques are considered for the minimization of differentiable functions on closed convex sets… Expand

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Highly Cited

1996

Highly Cited

1996

The convex hull of a set of points is the smallest convex set that contains the points. This article presents a practical convex… Expand

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Highly Cited

1996

Highly Cited

1996

AbstractLet
$$S \subseteq \mathbb{R}^n $$
be a convex set for which there is an oracle with the following property. Given any… Expand

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Highly Cited

1992

Highly Cited

1992

A family of sets has the (p, q)property if among any p members of the family some q have a nonempty intersection. It is shown… Expand

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Highly Cited

1965

Highly Cited

1965

A fuzzy set is a class of objects with a continuum of grades of membership. Such a set is characterized by a membership… Expand

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Highly Cited

1959

Highly Cited

1959

The method of successive approximation is applied to the problem of obtaining points of minimum distance on two convex sets… Expand

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