フォロー
James Renegar
James Renegar
Professor of Operations Research, Cornell University
確認したメール アドレス: cornell.edu
タイトル
引用先
引用先
A polynomial-time algorithm, based on Newton's method, for linear programming
J Renegar
Mathematical programming 40 (1), 59-93, 1988
8811988
On the computational complexity and geometry of the first-order theory of the reals. Part I: Introduction. Preliminaries. The geometry of semi-algebraic sets. The decision …
J Renegar
Journal of symbolic computation 13 (3), 255-299, 1992
8511992
A mathematical view of interior-point methods in convex optimization
J Renegar
Society for Industrial and Applied Mathematics, 2001
6882001
Linear programming, complexity theory and elementary functional analysis
J Renegar
Mathematical Programming 70 (1), 279-351, 1995
3231995
Some perturbation theory for linear programming
J Renegar
Mathematical Programming 65 (3), 73-91, 1994
2791994
Incorporating condition measures into the complexity theory of linear programming
J Renegar
SIAM Journal on Optimization 5 (3), 506-524, 1995
2291995
Hyperbolic programs, and their derivative relaxations
J Renegar
Foundations of Computational Mathematics 6, 59-79, 2006
2022006
On the worst-case arithmetic complexity of approximating zeros of polynomials
J Renegar
Journal of Complexity 3 (2), 90-113, 1987
1711987
A faster PSPACE algorithm for deciding the existential theory of the reals
J Renegar
Cornell University Operations Research and Industrial Engineering, 1988
1321988
On the computational complexity and geometry of the first-order theory of the reals. Part III: Quantifier elimination
J Renegar
Journal of Symbolic Computation 13 (3), 329-352, 1992
931992
On the worst-case arithmetic complexity of approximating zeros of systems of polynomials
J Renegar
SIAM Journal on Computing 18 (2), 350-370, 1989
831989
On the computational complexity and geometry of the first-order theory of the reals. Part II: The general decision problem. Preliminaries for quantifier elimination
J Renegar
Journal of Symbolic Computation 13 (3), 301-327, 1992
761992
On the efficiency of Newton's method in approximating all zeros of a system of complex polynomials
J Renegar
Mathematics of operations research 12 (1), 121-148, 1987
701987
Computing approximate solutions for convex conic systems of constraints
J Pena, J Renegar
Mathematical Programming 87, 351-383, 2000
662000
A simple nearly optimal restart scheme for speeding up first-order methods
J Renegar, B Grimmer
foundations of computational mathematics 22 (1), 211-256, 2022
582022
On the computational complexity of approximating solutions for real algebraic formulae
J Renegar
SIAM Journal on Computing 21 (6), 1008-1025, 1992
581992
Condition numbers, the barrier method, and the conjugate-gradient method
J Renegar
SIAM Journal on Optimization 6 (4), 879-912, 1996
541996
Is it possible to know a problem instance is ill-posed?: some foundations for a general theory of condition numbers
J Renegar
Journal of Complexity 10 (1), 1-56, 1994
471994
``Efficient” subgradient methods for general convex optimization
J Renegar
SIAM Journal on Optimization 26 (4), 2649-2676, 2016
432016
Efficient first-order methods for linear programming and semidefinite programming
J Renegar
arXiv preprint arXiv:1409.5832, 2014
392014
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