Results 21 to 30 of about 1,009,619 (268)
Algorithms for Highly Symmetric Linear and Integer Programs [PDF]
, 2011 This paper deals with exploiting symmetry for solving linear and integer programming problems. Basic properties of linear representations of finite groups can be used to reduce symmetric linear programming to solving linear programs of lower dimension ...
E.J. Friedman +12 more
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The Bayes Linear Programming Language [B/D]
Journal of Statistical Software, 2000 Bayes linear methodology provides a quantitative structure for expressing our beliefs and systematic methods for revising these beliefs given observational data.
David Wooff, Michael Goldstein
doaj +3 more sources
A multiple objective programming approach to linear bilevel multi-follower programming
AIMS Mathematics, 2019 In this paper, we investigate the relationship between a certain class of linear bilevel multifollower programming problems and multiple objective programming.
Habibe Sadeghi, Fatemeh Moslemi
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One-bit compressed sensing by linear programming [PDF]
, 2012 We give the first computationally tractable and almost optimal solution to the problem of one-bit compressed sensing, showing how to accurately recover an s-sparse vector x in R^n from the signs of O(s log^2(n/s)) random linear measurements of x.
Plan, Yaniv, Vershynin, Roman
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Team Teaching Load using Linear Programming
Journal of Computing Research and Innovation, 2019 Assignment of teaching loads refers to the allocation of teaching hours among academic staff. It will be the ideal way to assign the right courses to the right staff based on their expertise, preference and experience.
Syadatul Syaeda binti Mat Saleh +2 more
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Linear Superiorization for Infeasible Linear Programming
, 2016 Linear superiorization (abbreviated: LinSup) considers linear programming (LP) problems wherein the constraints as well as the objective function are linear.
A Cegielski +11 more
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Model Checking Linear Logic Specifications [PDF]
, 2003 The overall goal of this paper is to investigate the theoretical foundations of algorithmic verification techniques for first order linear logic specifications.
Bozzano, M., Delzanno, G., Martelli, M.
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Solving a Fully Fuzzy Linear Programming Problem through Compromise Programming
Journal of Applied Mathematics, 2013 In the current literatures, there are several models of fully fuzzy linear programming (FFLP) problems where all the parameters and variables were fuzzy numbers but the constraints were crisp equality or inequality.
Haifang Cheng, Weilai Huang, Jianhu Cai
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Land, 2022 Complex agricultural problems concern many countries, as a result of competing economic and environmental objectives. In this work we model three common agricultural problems through optimization techniques: a water-scarce area with overexploited surface
Jorge Andres Garcia, Angelos Alamanos
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Convergence in Karmarkar's Algorithm for Linear Programming [PDF]
, 1987 Karmarkar’s algorithm is formulated so as to avoid the possibility of failure because of unbounded solutions. A general inequality gives an easy proof of the convergence of the iterations.
Franklin, Joel
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