WorldCat Identities

Khachiyan, Leonid G.

Overview
Works: 19 works in 20 publications in 1 language and 22 library holdings
Roles: Author
Publication Timeline
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Most widely held works by Leonid G Khachiyan
An interior point method for bordered block diagonal linear programs by Rutgers University( Book )

2 editions published in 1993 in English and held by 2 WorldCat member libraries worldwide

Abstract: "This paper presents an interior point method for solving a bordered block diagonal linear program which consists of a number of disjoint blocks, coupled by a total of p variables and constraints. This structure includes the well-known block-angular and dual block-angular structures, as well as their special cases, such as staircase problems, generalized bounds and multicommodity flows. When p is small relative to the total dimension the problem [sic], the method achieves a substantial speed-up relative to other general-purpose methods."
On the conductance of order Markov chains by Alexander Karzanov( Book )

1 edition published in 1990 in English and held by 2 WorldCat member libraries worldwide

Abstract: "Let Q be a convex solid in R[superscript n], partitioned into two volumes u and v by an area s. We show that s [greater than or equal to] min(u, v)/diam Q, and use this inequality to obtain the lower bound [formula] on the conductance of order Markov chains, which describe nearly uniform generators of linear extensions for posets of size n. We also discuss an application of the above results to the problem of sorting of posets."
Approximate solution of matrix games in parallel by Michael D Grigoriadis( Book )

1 edition published in 1991 in English and held by 2 WorldCat member libraries worldwide

Abstract: "We consider the problem of solving matrix games to a fixed relative accuracy and present a parallel algorithm which runs in polylogarithmic time on a quadratic number of processors."
Diagonal matrix scaling is NP-hard by L Khachiyan( Book )

1 edition published in 1992 in English and held by 1 WorldCat member library worldwide

Abstract: "A symmetric matrix A is said to be scalable if there exists a positive diagonal matrix X such that the row and column sums of XAX are all ones. We show that testing the scalability of arbitrary matrices is NP-hard. Equivalently, it is NP-hard to check for a given symmetric matrix A whether the logarithmic barrier function [formula] has a stationary point in the positive orthant x> 0."
Complexity of polytope volume computation by L Khachiyan( Book )

1 edition published in 1990 in English and held by 1 WorldCat member library worldwide

Abstract: "We survey some recent results on the complexity of computing the volume of convex n-dimensional polytopes."
Rounding of polytypes in [Rn] by Leonid G Khachiyan( Book )

1 edition published in 1993 in English and held by 1 WorldCat member library worldwide

Rouding of polytoes in the real number model of computation by Leonid G Khachiyan( )

1 edition published in 1996 in English and held by 1 WorldCat member library worldwide

On the rate of convergence of deterministic and randomized RAS matrix scaling algorithms by Bahman Kalantari( )

1 edition published in 1993 in English and held by 1 WorldCat member library worldwide

Diagnonal [i.e. diagonal] matrix scaling and linear programming by Leonid Khachiyan( Book )

1 edition published in 1990 in English and held by 1 WorldCat member library worldwide

Abstract: "A positive semidefinite symmetric matrix either has a nontrivial nonnegative zero, or, can be scaled by a positive diagonal matrix into a doubly quasi stochastic matrix. In this paper we describe a simple path following Newton algorithm [sic] of the complexity [formula] iterations to either scale an n by n matrix or give a nontrivial nonnegative zero. The latter problem is well-known to be equivalent to linear programming."
Coordination complexity of parallel price-directive decomposition by Michael D Grigoriadis( Book )

1 edition published in 1994 in English and held by 1 WorldCat member library worldwide

Abstract: "Parallel price directive decomposition (PPD) methods for the approximate solution of block-angular convex resource sharing problems are considered. This general model in structured optimization consists of K nonempty disjoint compact sets called 'blocks' and M nonnegative-valued convex 'coupling' inequalities. It has a number of applications in combinatorial optimization, network flows, scheduling, communication networks, engineering design, and finance. This paper studies the coordination complexity of PDD approximation methods, i.e., the number of iterations required to solve the general resource sharing problem to a fixed relative accuracy, as a function of K and M. First, a simple PDD method based on the classical logarithmic potential function is presented and analyzed. For a fixed accuracy, its coordination complexity is shown to be O(M ln M), which is within a logarithmic factor of the best possible bound for any PDD method that works with the original blocks. An important property of the logarithmic-potential PDD method is that its coordination complexity depends neither on the 'width' nor on the dimension of the blocks. Second, polylogarithmically-matching upper and lower coordination complexity bounds are presented for a wider class of PDD methods in which each block can be partially restricted by the coupling constraints. The upper bound for this class of PDD is obtained by a combined method, which uses either the logarithmic or the exponential potential function, depending on the number of coupling constraints per block."
On the rate of convergence of the RAS method by Bahman Kalantari( Book )

1 edition published in 1992 in English and held by 1 WorldCat member library worldwide

Abstract: "It is well-known that given an n x n matrix with positive entries, there exists two positive diagonal matrices X and Y such that XAY is doubly stochastic. One of the best known algorithms for computing the scaling factors X and Y is the so called RAS algorithm which alternatively normalizes rows and columns of the matrix. In this paper we prove that the RAS is a fully-polynomial time approximation scheme and give a bound of O((1/[epsilon] + ln n) [squareroot n]ln 1/v), on the number of iterations of the RAS for scaling A to an accuracy of [epsilon], where v is the ratio of the least entry of A to its largest."
Fast approximation schemes for convex programs with many blocks and coupling constraints by M. D Grigoriadis( Book )

1 edition published in 1991 in English and held by 1 WorldCat member library worldwide

On the complexity of dualization of monotone disjunctive normal forms by Michael Fredman( Book )

1 edition published in 1994 in English and held by 1 WorldCat member library worldwide

Abstract: "We show that the duality of a pair of monotone disjunctive normal forms of size n can be tested in n[superscript o(log n)] time."
A sublinear-time randomized approximation algorithm for matrix games by Michael D Grigoriadis( Book )

1 edition published in 1994 in English and held by 1 WorldCat member library worldwide

Abstract: "This paper presents a parallel randomized algorithm which computes a pair of [epsilon]-optimal strategies for a given (m, n)- matrix game A = [a[subscript i, subscript j]] [is in the set of] [-1,1] in O([epsilon][superscript-2] log² (n + m)) expected time on an (n + m) / log (n + m)-processor EREW PRAM. This algorithm is a natural extension of the classical method of fictitious play by Brown and Robinson. For any fixed accuracy [epsilon]> 0, the expected sequential running time of the suggested algorithm is O((n + m) log (n + m)), which is sublinear in mn, the number of input elements of A. On the other hand, simple arguments are given to show that for [epsilon] <1/2, any sequential deterministic algorithm for computing a pair of [epsilon]-optimal strategies of an (m, n)- matrix game A with [plus or minus] 1 elements examines [omega] (m, n) of its elements. In particular, for m = n the randomized algorithm achieves an almost quadratic expected speedup relative to any deterministic method."
A greedy heuristic for a minimum-weight forest problem by Celina Imielinska( )

1 edition published in 1993 in English and held by 1 WorldCat member library worldwide

On the complexity of nonnegative matrix scaling by Bahman Kalantari( Book )

1 edition published in 1990 in English and held by 1 WorldCat member library worldwide

Abstract: "An n x n nonnegative matrix is said to be (doubly stochastic) scalable if there exists two positive diagonal matrices X and Y such that XAY is doubly stochastic. We derive an upper bound on the norms of the scaling factors X and Y and give a polynomial time complexity bound on the problem of computing the scaling factors with prescribed accuracies."
An exponential-function reduction method for block-angular convex programs by Michael D Grigoriadis( Book )

1 edition published in 1993 in English and held by 1 WorldCat member library worldwide

The method is shown to produce an [epsilon]-approximate solution in O(K(ln M)([epsilon]⁻² + ln K)) iterations, provided that there is a feasible solution sufficiently interior to the coupling inequalities. Each iteration consists of solving a subset of independent block problems, followed by a simple coordination step. Computational experiments with a set of large linear concurrent and minimum-cost multicommodity network flow problems suggest that the method can be practical for computing fast approximations to large instances."
On the complexity of approximating extremal determinants in matrices by Leonid G Khachiyan( Book )

1 edition published in 1994 in English and held by 1 WorldCat member library worldwide

Abstract: "For a d x n matrix A, let B = B(A) be the set of all nondegenerate d x d submatrices (bases) of A, and let [delta](A) = min[[absolute value of det B] : B [element of] B]. We show that for any polynomial p = poly(d, n) in the dimension of A, the problem of approximating [delta](A) within a factor of 2[superscript p] is NP-hard. We also show that it is NP-hard to determine whether a set of n rational points in n dimensions is affinely or linearly degenerate. On the other hand, we give an algorithm for approximating [delta](A) = max[[absolute value of det B] : B [element of] B] within a factor of [(1+[epsilon])d][superscript (d-1)/2] in O(nd²([epsilon][superscript -1] + log d + log log n)) arithmetic operations and comparisons over the reals."
Coordination complexity of parallel price-directive decomposition by Michael D Grigoriadis( )

1 edition published in 1996 in English and held by 1 WorldCat member library worldwide

 
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English (20)