activity
20052023
most citedEscaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions

45 citations · 142 across the 32 of their papers we have counts for

collaborators

34 papers

math.PR2023

Sums of GUE matrices and concentration of hives from correlation decay of eigengaps

Hariharan Narayanan, Scott Sheffield, Terence Tao

Associated to two given sequences of eigenvalues and is a natural polytope, the polytope of augmented hives with the specified b…

math.CO2023

On composition and decomposition operations for vector spaces, graphs and matroids

H. Narayanan

In this paper, we study the ideas of composition and decomposition in the context of vector spaces, graphs and matroids. For vector spaces $\V_{AB},$ treated as collection of row v…

cs.DS2022★ 1 cited

Sampling from convex sets with a cold start using multiscale decompositions

Hariharan Narayanan, Amit Rajaraman, Piyush Srivastava

Running a random walk in a convex body is a standard approach to sample approximately uniformly from the body. The requirement is that from a suitable init…

math.PR2021★ 1 cited

Large deviations for random hives and the spectrum of the sum of two random matrices

Hariharan Narayanan, Scott Sheffield

Suppose are Lipschitz strongly concave functions from to and is a concave function from to , such that , and…

math.RT2021

On a convexity property of tensor products of irreducible, rational representations of

Hariharan Narayanan, C. S. Rajan

The aim of this note is to point out a convexity property with respect to the root lattice for the support of the highest weights that occur in a tensor product of irreducible rati…

eess.SY2021

On Thevenin-Norton and Maximum power transfer theorems

H. Narayanan, Hariharan Narayanan

In this paper we show how to compute port behaviour of multiports which have port equations of the general form which cannot even be put into the hybrid form,…