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Distributed nonconvex constrained optimization over time-varying digraphs
Mathematical programming, 2018This paper considers nonconvex distributed constrained optimization over networks, modeled as directed (possibly time-varying) graphs. We introduce the first algorithmic framework for the minimization of the sum of a smooth nonconvex (nonseparable ...
G. Scutari, Ying Sun
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A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems
Knowledge-Based Systems, 2023B. Yildiz +8 more
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Order‐constrained linear optimization
British Journal of Mathematical and Statistical Psychology, 2017Despite the fact that data and theories in the social, behavioural, and health sciences are often represented on an ordinal scale, there has been relatively little emphasis on modelling ordinal properties. The most common analytic framework used in psychological science is the general linear model, whose variants include ANOVA ...
Joe W, Tidwell +3 more
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SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
SIAM Journal on Optimization, 2002P. Gill, W. Murray, M. Saunders
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1996
Abstract In optimization theory, when both objective and constraint functions are linear, the problem is called a linear-programming (LP) problem. The term programming refers to scheduling and not to computer programming. The idea goes back to Dantzig [1963] who put forward mathematical principles of scheduling and planning. There are
P Neittaanmäki, M Rudnicki, A Savini
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Abstract In optimization theory, when both objective and constraint functions are linear, the problem is called a linear-programming (LP) problem. The term programming refers to scheduling and not to computer programming. The idea goes back to Dantzig [1963] who put forward mathematical principles of scheduling and planning. There are
P Neittaanmäki, M Rudnicki, A Savini
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Constrained Optimization and Lagrange Multiplier Methods
, 1982D. Bertsekas
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Data-driven distributionally robust chance-constrained optimization with Wasserstein metric
Journal of Global Optimization, 2020Ran Ji, M. Lejeune
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