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文献信息
The SIAM Journal on Optimization contains research articles on the theory and practice of optimization. The areas addressed include linear and quadratic programming, convex programming, nonlinear programming, complementarity problems, stochastic optimization, combinatorial optimization, integer programming, and convex, nonsmooth and variational analysis. Contributions may emphasize optimization theory, algorithms, software, computational practice, applications, or the links between these subjects.
Semidefinite ProgrammingConvex OptimizationGlobal ConvergenceOptimality ConditionsObjective FunctionConstrained OptimizationSuperlinear ConvergenceNonlinear ProgrammingNonsmooth OptimizationNumerical ExperimentsLinear ProgrammingConvergence AnalysisUnconstrained OptimizationNonlinear OptimizationPolynomial OptimizationGlobal OptimizationIteration ComplexityConvergence RateConstrained Optimization ProblemsConvex Functions
vol.35 (2025)
vol.34 (2024)
vol.33 (2023)
vol.32 (2022)
vol.31 (2021)
vol.30 (2020)
vol.29 (2019)
vol.28 (2018)
vol.27 (2017)
vol.26 (2016)
vol.25 (2015)
vol.24 (2014)
vol.23 (2013)
vol.22 (2012)
vol.21 (2011)
vol.20 (2010)
vol.20 (2009)
vol.19 (2009)
vol.19 (2008)
vol.18 (2008)
vol.18 (2007)
vol.17 (2007)
vol.17 (2006)
vol.16 (2006)
vol.16 (2005)
vol.15 (2005)
vol.15 (2004)
vol.14 (2004)
vol.14 (2003)
vol.13 (2003)
vol.13 (2002)
vol.12 (2002)
vol.12 (2001)
vol.11 (2001)
vol.11 (2000)
vol.10 (2000)
vol.10 (1999)
vol.9 (1999)
vol.9 (1998)
vol.8 (1998)
vol.7 (1997)
vol.6 (1996)
vol.5 (1995)
vol.4 (1994)
vol.3 (1993)
vol.2 (1992)
vol.1 (1991)
Sysala, StanislavBeres, MichalBeresova, SimonaHaslinger, JaroslavKruzik, JakubLuber, Tomas
Alcantara, Jan HaroldLee, Ching-PeiTakeda, Akiko
Hou, JiaxinSoh, Yong ShengVarvitsiotis, Antonios