{"id":297,"date":"2024-02-14T19:25:48","date_gmt":"2024-02-14T19:25:48","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/2024international\/?page_id=297"},"modified":"2024-06-13T11:01:37","modified_gmt":"2024-06-13T11:01:37","slug":"keynotes","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/2024international\/keynotes\/","title":{"rendered":"Plenary\/Keynote Speakers"},"content":{"rendered":"\n
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\n \n Plenary Speakers <\/span>\n\n \n \n <\/span>\n <\/h2>\n<\/div>\n\n\n
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Monday, June 17<\/h3> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n
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\n \"Tam\u00e1s \n <\/div>\n \n \n
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\n Tam\u00e1s Terlaky <\/h3>\n
\n Lehigh University, USA <\/div>\n \n <\/div>\n \n <\/div>\n <\/div>\n
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70 and 40 Years of Interior Point Methods (IPMs)<\/h2>\n

70 years ago, in 1954, Ragnar Frish proposed a \u201cLogarithmic Potential Method\u201d to solve Linear Optimization (LO) problems, and he also extended the methodology to solve convex optimization problems. In 1969, Fiacco and McCormick studied and expanded the logarithmic barrier methodology as SUMT: Sequential Unconstrained Minimization Technique. The modern age of polynomial time IPMs has been launched by Karmarkar\u2019s 1984 paper. In the past four decades, IPMs transformed the way we think of optimization; expanded the scope of efficiently solvable optimization problems from linear to smooth-convex and conic LO. The powerful methodology of IPMs impacted most areas of optimization, including general nonlinear and combinatorial optimization, and most recently quantum computing optimization. This talk reviews the major milestones of the 7 decades of the Interior Point Revolution.<\/p> <\/div>\n<\/div>\n\n

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