Results 31 to 40 of about 713,971 (166)
Newton-type methods for stochastic programming
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On the construction of minimisation methods of quasi-Newton type
The paper investigates possibilities for the formulation of new quasi- Newton type methods. In doing so the so-called secant equation of the classical quasi-Newton algorithms is replaced by a more general equation. In this way it is possible to give a nonlinear approximation of the Newton equation, the solution of which corresponds to the Newton search
Ford, John A., Saadallah, Adel F.
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An Inexact Newton-Type Method for Inverse Singular Value [PDF]
In this paper, an inexact Newton-type approach is proposed for solving inverse singu- lar value problems. We show that the method converges superlinearly.
白正简, Zheng-Jian Bai, Shufang Xu
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A Newton Method for Linear Programming
A fast Newton method is proposed for solving linear programs with a very large ( 106) number of constraints and a moderate ( 102) number of variables. Such linear programs occur in data mining and machine learning.
O. L. Mangasarian, Mangasarian, Olvi
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Strongly interacting bumps for the schrodinger-newton equations
We study concentrated bound states of the Schrodinger-Newton equations Moroz, Penrose and Tod proved the existence and uniqueness of ground states.
Winter, M, Wei, J
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An adaptive Newton-method based on a dynamical systems approach
The traditional Newton method for solving nonlinear operator equations in Banach spaces is discussed within the context of the continuous Newton method.
Amrein, Mario, Wihler, Thomas
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The Convergence of a Class of Parallel Newton-Type Iterative Methods [PDF]
A general iterative process is proposed, from which a class of parallel Newton-type iterative methods can be derived. A unified convergence theorem for the general iterative process is established. The convergence of these Newton-type iterative methods is obtained from the unified convergence theorem.
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A Consensus Approach to Distributed Convex Optimization in Multi-Agent Systems [PDF]
In this thesis we address the problem of distributed unconstrained convex optimization under separability assumptions, i.e., the framework where a network of agents, each endowed with local private convex cost and subject to communication constraints ...
Filippo Zanella, Zanella, Filippo
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On two families of high order Newton type methods
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Amat, S. +3 more
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Complementarity Problems in GAMS and the PATH Solver
A fundamental mathematical problem is to find a solution to a square system of nonlinear equations. There are many methods to approach this problem, the most famous of which is Newton?s method.
Ferris, Michael C. +5 more
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