activity
20192021
collaborators

5 papers

math.OC2021

Combination Chemotherapy Optimization with Discrete Dosing

Temitayo Ajayi, Seyedmohammadhossein Hosseinian, Andrew J. Schaefer +1

Chemotherapy is one of the primary modalities of cancer treatment. Chemotherapy drug administration is a complex problem that often requires expensive clinical trials to evaluate p…

math.OC2020

On strong duality, theorems of the alternative, and projections in conic optimization

Temitayo Ajayi, Akshay Gupte, Amin Khademi +1

A conic program is the problem of optimizing a linear function over a closed convex cone intersected with an affine preimage of another cone. We analyse three constraint qualificat…

math.OC2020

A Gilmore-Gomory-Type Construction of Integer Programming Value Functions

Seth Brown, Wenxin Zhang, Temitayo Ajayi +1

In this paper, we analyze how sequentially introducing decision variables into an integer program (IP) affects the value function and its level sets. We use a Gilmore-Gomory approa…

math.OC2019

Theorems of the Alternative for Conic Integer Programming

Temitayo Ajayi, Varun Suriyanarayana, Andrew J. Schaefer

Farkas' Lemma is a foundational result in linear programming, with implications in duality, optimality conditions, and stochastic and bilevel programming. Its generalizations are k…

math.OC2019

Approximate Submodularity and Its Implications in Discrete Optimization

Temitayo Ajayi, Taewoo Lee, Andrew Schaefer

Submodularity is a key property in discrete optimization. Submodularity has been widely used for analyzing the greedy algorithm to give performance bounds and providing insight int…