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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical programming 3 (1972), S. 225-237 
    ISSN: 1436-4646
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract Givenf: R n → R n* with some conditions, our aim is to compute a fixed pointx ∈ f(x) off; hereR n isn-dimensional Euclidean space andR n* is the collection of nonempty subsets ofR n . A typical application of the algorithm can be motivated as follows: Beginning with the constant mapf 0:R n → {0} ⊂R n and its fixed pointx 0 = 0, we deformf t ast → ∞ tof ∞ ∈ f and follow the pathx t of fixed points off t . Cluster points of thex t 's ast → ∞ are fixed points off.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical programming 59 (1993), S. 23-31 
    ISSN: 1436-4646
    Keywords: Linear programming ; duality theorem ; unimodular ; totally unimodular ; interior point methods
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract In this paper we consider a linear programming problem with the underlying matrix unimodular, and the other data integer. Given arbitrary near optimum feasible solutions to the primal and the dual problems, we obtain conditions under which statements can be made about the value of certain variables in optimal vertices. Such results have applications to the problem of determining the stopping criterion in interior point methods like the primal—dual affine scaling method and the path following methods for linear programming.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical programming 4 (1973), S. 324-335 
    ISSN: 1436-4646
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract Givenf: R + n → R n , the complementarity problem is to find a solution tox ≥ 0,f(x) ≥ 0, and 〈x, f(x)〉 = 0. Under the condition thatf is continuously differentiable, we prove that for a generic set of such anf, the problem has a discrete solution set. Also, under a set of generic nondegeneracy conditions and a condition that implies existence, we prove that the problem has an odd number of solutions.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    BIT 40 (2000), S. 536-558 
    ISSN: 1572-9125
    Keywords: Incomplete Cholesky factorization ; conjugate gradient methods ; dense linear systems
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract In this paper, we study the use of an incomplete Cholesky factorization (ICF) as a preconditioner for solving dense symmetric positive definite linear systems. This method is suitable for situations where matrices cannot be explicitly stored but each column can be easily computed. Analysis and implementation of this preconditioner are discussed. We test the proposed ICF on randomly generated systems and large matrices from two practical applications: semidefinite programming and support vector machines. Numerical comparison with the diagonal preconditioner is also presented.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Annals of operations research 62 (1996), S. 303-324 
    ISSN: 1572-9338
    Keywords: Linear programming ; affine scaling methods ; interior point methods
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract In this paper, we present a simpler proof of the result of Tsuchiya and Muramatsu on the convergence of the primal affine scaling method. We show that the primal sequence generated by the method converges to the interior of the optimum face and the dual sequence to the analytic center of the optimal dual face, when the step size implemented in the procedure is bounded by 2/3. We also prove the optimality of the limit of the primal sequence for a slightly larger step size of 2q/(3q−1), whereq is the number of zero variables in the limit. We show this by proving the dual feasibility of a cluster point of the dual sequence.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Annals of operations research 62 (1996), S. 375-417 
    ISSN: 1572-9338
    Keywords: Linear programming ; affine scaling methods ; interior point methods ; power barrier method ; power center ; merit function ; superlinear convergence ; three-step quadratic convergence ; efficient acceleration
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract In this paper, we present a variant of the primal affine scaling method, which we call the primal power affine scaling method. This method is defined by choosing a realr〉0.5, and is similar to the power barrier variant of the primal-dual homotopy methods considered by den Hertog, Roos and Terlaky and Sheu and Fang. Here, we analyze the methods forr〉1. The analysis for 0.50〈r〈1 is similar, and can be readily carried out with minor modifications. Under the non-degeneracy assumption, we show that the method converges for any choice of the step size α. To analyze the convergence without the non-degeneracy assumption, we define a power center of a polytope. We use the connection of the computation of the power center by Newton's method and the steps of the method to generalize the 2/3rd result of Tsuchiya and Muramatsu. We show that with a constant step size α such that α/(1-α)2r 〉 2/(2r-1) and with a variable asymptotic step size αk uniformly bounded away from 2/(2r+1), the primal sequence converges to the relative interior of the optimal primal face, and the dual sequence converges to the power center of the optimal dual face. We also present an accelerated version of the method. We show that the two-step superlieear convergence rate of the method is 1+r/(r+1), while the three-step convergence rate is 1+ 3r/(r+2). Using the measure of Ostrowski, we note thet the three-step method forr=4 is more efficient than the two-step quadratically convergent method, which is the limit of the two-step method asr approaches infinity.
    Type of Medium: Electronic Resource
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  • 7
    Book
    Book
    Boston u.a. :Kluwer Academic Publishers,
    Title: Linear programming : a modern integrated analysis; 1
    Author: Saigal, Romesh
    Publisher: Boston u.a. :Kluwer Academic Publishers,
    Year of publication: 1995
    Pages: 342 S.
    Series Statement: International series in operations research and management science 1
    Type of Medium: Book
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  • 8
    Title: Handbook of semidefinite programming : theory, algorithms, and applications; 27
    Contributer: Wolkowicz, Henry , Saigal, Romesh , Vandenberghe, Lieven
    Publisher: Boston u.a. :Kluwer Academic Publishers,
    Year of publication: 2000
    Pages: 654 S.
    Series Statement: International series in operations research and management science 27
    Type of Medium: Book
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