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Fundamental Factorization of a GLSM Part I: Construction J. Sean Doody This magical

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This magical

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Included are an overview of computational methods together with their properties and advantages topics from statistical regression analysis that help readers to understand and evaluate the computed solutions many examples that illustrate the techniques and algorithmsLeast Squares Data Fitting with Applications can be used as a textbook for advanced undergraduate or graduate courses and professionals in the sciences and in engineering

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Fundamental Factorization of a GLSM Part I: Construction J. Sean Doody This magicalWe define enumerative invariants associated to a hybrid Gauged Linear Sigma Model. We prove that in the relevant special cases these invariants recover both the Gromov Witten type invariants defined by Chang Li and Fan Jarvis Ruan using cosection localization as well as the FJRW type invariants constructed by Polishchuk Vaintrob. The invariants are defined by constructing a "fundamental factorization" supported on the moduli space of Landau Ginzburg

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