Blogs by Shuvomoy Das Gupta
Shuvo Das Gupta
● Assistant Professor, Department of Computational Applied Mathematics & Operations Research
● Rice University, Houston, TX
● Email: sd158@rice.edu
● [CV]
About Me
I am an assistant professor in the Department of Computational Applied Mathematics and Operations Research at Rice University. My research interests lie at the intersection of optimization, operations research, and computation. I obtained my Ph.D. from the Operations Research Center at MIT in 2024. My work on computer-assisted algorithm design received the 2024 INFORMS Computing Society Student Paper Award and honorable mentions in both the 2024 INFORMS George Nicholson Student Paper Competition and the 2024 MIT Operations Research Center Best Student Paper Competition. My industry collaboration on energy-efficient railway timetabling has been implemented in the largest installed base of communication-based train control systems worldwide.
Posts
(2025-05-03) How to run Julia and R in LyX using knitr
(2025-04-27) Online Gradient Descent and Solving Saddle Point Problems
(2025-03-31) How to run Python from Julia
(2025-02-07) Notes on Monotone Operator Theory
(2024-11-22) Geometry of Integer Optimization
(2024-09-27) KKT Operator and KKT Conditions
(2024-09-25) From Fenchel-Rockafellar Duality to Lagrangian Duality
(2024-03-28) Study notes on “Stochastic Polyak Step-size, a simple step-size tuner with optimal rates" by F. Pedregosa
(2023-01-06) Converting latex/pdf to html to markdown for Jekyll-based blogs
(2022-12-27) Convergence of stochastic gradient descent
(2022-10-03) Materials for the poster at the Cornell Young Researchers Workshop 2022
(2022-08-30) Solving bilinear optimization problems using
Alpine.jl(2022-07-23) Accelerated first-order methods as span-based first-order methods
(2022-06-06) Installing KNITRO in MacOS
(2022-05-16) Reproducing Optimized Gradient Method (OGM) in Julia+JuMP
(2022-04-27) Automated SDP relaxation of QCQPs in JuMP+Julia
(2022-03-18) “My heart skipped a beat” by Nasir Kazmi
(2022-03-09) Solving bilinear optimization problem using JuMP
(2022-03-01) Favorite quotes and excerpts
(2022-02-02) Tutorial on Optimization in Julia for MIT IAP course 15.S60: Computing in Optimization and Statistics (2022)
(2021-12-01) Constructing an interpolated function for the class of smooth strongly convex functions
(2021-11-30) Publication-quality plots in Julia using PGFPlotsX
(2021-11-11) An improved lower-complexity bound for the class of convex and Lipschitz continuous functions
(2021-08-26) Tips and tricks in Mathematica
(2021-08-24) “An Understanding” by Rabindranath Tagore
(2021-07-30) Geometry of a prox-regular set
(2021-02-03) Solving transportation problems in Julia+JuMP
(2021-02-01) Running parallel Julia code on MIT Engaging
(2021-01-18) Mutating function and array assignment in Julia
(2020-12-21) The holy man and the venomous snake
(2020-12-01) Running parallel Julia code on MIT Supercloud
(2020-11-15) Verifying inequalities in Mathematica
(2020-05-05) Working with dataframes in Julia
(2020-04-28) Saving data files in Julia
(2020-04-25) Life of Egon Balas
(2020-04-10) Simple gradient descent algorithm in Julia
(2020-03-24) If you did not give me love by Rabindranath Tagore
(2020-03-22) How to create a simple package in Julia
(2020-01-24) Running Julia code on MIT Supercloud