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    Article

    A modified layered-step interior-point algorithm for linear programming

    The layered-step interior-point algorithm was introduced by Vavasis and Ye. The algorithm accelerates the path following interior-point algorithm and its arithmetic complexity depends only on the coefficient m...

    Nimrod Megiddo, Shinji Mizuno, Takashi Tsuchiya in Mathematical Programming (1998)

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    Article

    New algorithms for generalized network flows

    This paper, of which a preliminary version appeared in ISTCS'92, is concerned with generalized network flow problems. In a generalized network, each edgee = (u, v) has a positive ‘flow multiplier’a ...

    Edith Cohen, Nimrod Megiddo in Mathematical Programming (1994)

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    Article

    A primal—dual infeasible-interior-point algorithm for linear programming

    As in many primal—dual interior-point algorithms, a primal—dual infeasible-interior-point algorithm chooses a new point along the Newton direction towards a point on the central trajectory, but it does not con...

    Masakazu Kojima, Nimrod Megiddo, Shinji Mizuno in Mathematical Programming (1993)

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    Article

    Theoretical convergence of large-step primal—dual interior point algorithms for linear programming

    This paper proposes two sets of rules, Rule G and Rule P, for controlling step lengths in a generic primal—dual interior point method for solving the linear programming problem in standard form and its dual. T...

    Masakazu Kojima, Nimrod Megiddo, Shinji Mizuno in Mathematical Programming (1993)

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    Article

    Tight bounds and 2-approximation algorithms for integer programs with two variables per inequality

    The problem of integer programming in bounded variables, over constraints with no more than two variables in each constraint is NP-complete, even when all variables are binary. This paper deals with integer li...

    Dorit S. Hochbaum, Nimrod Megiddo, Joseph (Seffi) Naor in Mathematical Programming (1993)

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    Article

    An interior point potential reduction algorithm for the linear complementarity problem

    The linear complementarity problem (LCP) can be viewed as the problem of minimizingx T y subject toy=Mx+q andx, y0. We are interested in finding a point withx T y <ε for a givenε > 0. The algorithm proceeds by i...

    Masakazu Kojima, Nimrod Megiddo, Yinyu Ye in Mathematical Programming (1992)

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    Article

    A note on degeneracy in linear programming

    We show that the problem of exiting a degenerate vertex is as hard as the general linear programming problem. More precisely, every linear programming problem can easily be reduced to one where the second best...

    Nimrod Megiddo in Mathematical Programming (1986)

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    Article

    On the expected number of linear complementarity cones intersected by random and semi-random rays

    Lemke's algorithm for the linear complementarity problem follows a ray which leads from a certain fixed point (traditionally, the point (1,⋯, 1)T) to the point given in the problem. The problem also induces a set...

    Nimrod Megiddo in Mathematical Programming (1986)

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    Article

    Improved asymptotic analysis of the average number of steps performed by the self-dual simplex algorithm

    In this paper we analyze the average number of steps performed by the self-dual simplex algorithm for linear programming, under the probabilistic model of spherical symmetry. The model was proposed by Smale. C...

    Nimrod Megiddo in Mathematical Programming (1986)

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    Article

    A monotone complementarity problem with feasible solutions but no complementary solutions

    Nimrod Megiddo in Mathematical Programming (1977)

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    Article

    On monotonicity in parametric linear complementarity problems

    This paper generalizes the answers that were given by R.W. Cottle to questions that were originally raised by G. Maier.

    Nimrod Megiddo in Mathematical Programming (1977)

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    Article

    On the existence and uniqueness of solutions in nonlinear complementarity theory

    A complementarity problem is said to be globally uniquely solvable (GUS) if it has a unique solution, and this property will not change, even if any constant term is added to the map** generating the problem.

    Nimrod Megiddo, Masakazu Kojima in Mathematical Programming (1977)

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    Article

    Optimal flows in networks with multiple sources and sinks

    The concept of an optimal flow in a multiple source, multiple sink network is defined. It generalizes maximal flow in a single source, single sink network. An existence proof and an algorithm are given.

    Nimrod Megiddo in Mathematical Programming (1974)

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    Article

    The kernel and the nucleolus of a product of simple games

    The kernel and the nucleolus of a product of two simple games are given in terms of the kernels and the nucleoluses of the component games.

    Nimrod Megiddo in Israel Journal of Mathematics (1971)