CS695/795/895 Fall 2012
Assignments

 

Assignments:

Links for assignments will be posted in the table below one by one as the semester progresses.

Assignment                                             

Due Date                              

Assignment 1

Sept. 19, 2012

Assignment 2

Oct. 3, 2012

Assignment 3

Oct. 31, 2012

Assignment 4

Nov. 14, 2012

Assignment 5

Dec. 5, 2012

Term Paper

Dec. 5, 2012

 

 

Reading List:

Paper Title

Student

Date

Don’t Trust Parallel Monte Carlo

Sandeep Allu

Nov. 28

Monte Carlo Methods in Ray Chasing

 

 

SPRNG: A Scalable Library for Pseudo Random Number Generation

Ranjith Kumar Nagella

Nov. 28

Simulated Annealing Method in Traveling Salesman Problem

Tejaswini Lavang

Nov. 28

Monte Carlo-minimization approach to the multiple-minima problem in protein folding

Phanindar Reddy Tati

Dec. 12

A Configuration-bias Monte Carlo Method for Water

Harshith R Bandi

Nov. 28

Stochastic Algorithms in Linear Algebra – Beyond the Markov Chains and von Neumann-Ulam Scheme

Rajesh Ragampeta

Dec. 12

Generalized-ensemble Algorithms: Enhanced Sampling Techniques for Monte Carlo and Molecular Dynamics Simulations

Kotagiri Rakheesh

Nov. 28

Monte Carlo Computation in Finance

Rohit Nampelli

Dec. 5

Monte Carlo Optimization for Resource Allocation Problems in Stochastic Network Systems

Mohan Krishna Kodali

Dec. 5

An Overview of Quantum Monte Carlo Methods

Milind Dake

Dec. 5

A decentralized parallel implementation for parallel tempering algorithm

Rahul Ganta

Dec. 5

A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts

Srujan Kusumba

Dec. 5

Parallel Monte Carlo Methods for Finding Eigenvalues

Hari Phaneendra Kalyan

Nov. 28

A Structural Model of Segregation in Social Network

Sai Chaitanya Tirumerla

Dec. 5

Risk analysis of seasonal stream water quality management

Adarsh Sriram

Dec. 5

A new iterative Monte Carlo Approach for Inverse Matrix Problem

Ujwal Manjunath

Dec. 12

Fast Monte Carlo Algorithms for Matrices I: Approximating Matrix Multiplication

Yogesh Sur

Dec. 12

Fast Monte Carlo Algorithms for Matrices II: Computing Low-Rank Approximations to a Matrix

 

 

Fast Monte Carlo Algorithms for Matrices III: Computing an Efficient Approximate Decomposition of a Matrix

 

 

Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model

Abhishek Kamurthi

Dec. 12

Sequential Monte Carlo techniques for the solution of linear systems

Karthik Navuluri

Dec. 12

MOMCMC: An Efficient Monte Carlo Method for Multi-Objective Sampling Over Real Parameter Space

Xianping Wang

Dec. 12

 

Back to Main Page