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Blog Post Dec-14-2022

less than 1 minute read

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Proof of a series solution for Euler’s trinomial equation

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In 1779, Leonhard Euler published a paper about Lambert’s transcendental equation in the symmetric form. In the paper, he studied the series solution of this equation and other results based on an assumption which was not proved in the paper. Euler’s paper gave the first series expanion for the so-called Lambert W function. In this work, we briefly review Euler’s results and give a proof to modern standards of rigor of the series solution of Lambert’s transcendental equation.

On the Singularity degree of non-facially exposed faces

Published:

Abstract: We define the singularity degree of a face which is not necessarily facially exposed. We show that the singularity degree of a linear conic optimization problem is equal to the singularity degree of the minimal face on the linear image of the convex cone, which generalises the result by Drusvyatskiy, Pataki and Wolkowicz in 2015. Given pairwise distances of a framework (G, p), the singularity degree of the corresponding EDM completion problem is related to the stability of the framework (high singularity means the framework is less stable). As an application, we give an upper bound of the singularity degree for generic frameworks and tensegrities underlying a Laman plus d graph ( Laman graph plus d edges).

teaching

Math 115 Linear Algebra for Engineering, Fall 2020

Undergraduate course, University of Waterloo, 2020

Course Description: This is a course on linear algebra and its applications to engineering. Topics to be covered include complex numbers; vectors, lines and planes; systems of linear equations; matrices, linear transformations and determinants; introduction to vector spaces; eigenvalues, eigenvectors and diagonaliza- tion; and additional topics as time permits. We approach the material through a blend of theoretical ideas, computational methods and some applications.

CO 367 Nonlinear Optimization, Fall 2021

Undergraduate course, Department of Combinatorics and Optimization, University of Waterloo, 2021

An introductory course to the mathematics of nonlinear optimization. Necessary and sufficient optimality conditions for unconstrained and constrained problems. Convexity and its applications. Computational algorithms and their analysis. Application to machine learning.

CO250 Introduction to optimization, Spring 2022

Undergraduate course, University of Waterloo, Department of Combinatorics and Optimization, 2022

This is an introductory course to linear programming, integer programming, and a very basic introduction to nonlinear optimization