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Emissions Aftertreatment and Engine Cold-Starting Modeling

Emissions Aftertreatment and Engine Cold-Starting Modeling

Emissions Aftertreatment and Engine Cold-Starting Modeling. ORNL Investigators: Johney Green 1 , Stuart Daw 2 , Kalyan Chakravarthy 3 , Dean Edwards 3 , Zhiming Gao 3 , Jim Conklin 3 , Brian West 4 1 Program Manager, Vehicle Systems 2 Modeling Coordination 3 Modeling Team

By liam
(258 views)

Introduction to Boston University’s Scientific Computing Facility

Introduction to Boston University’s Scientific Computing Facility

Introduction to Boston University’s Scientific Computing Facility. Doug Sondak sondak@bu.edu Scientific Computing and Visualization. Outline. Introduction Hardware Software Account Information Tutorials Some Basic Unix Commands How to Run Batch. Introduction.

By barclay
(103 views)

Doing Business with Oak Ridge National Laboratory

Doing Business with Oak Ridge National Laboratory

Doing Business with Oak Ridge National Laboratory. Presented to 22 nd Annual OSDBU Procurement Conference Keith S. Joy, Director ORNL Small Business Programs Washington D.C. April 19, 2012. ORNL is DOE’s largest science and energy laboratory. $1.3B budget 4,350 employees

By marv
(173 views)


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Scientific Linux Experience at RHIC Computing Facility

Scientific Linux Experience at RHIC Computing Facility

Christopher Hollowell Physics Department Brookhaven National Laboratory hollowec@bnl.gov. Scientific Linux Experience at RHIC Computing Facility. Red Hat Linux End Of Life Options. Red Hat Enterprise Linux Not cost effective when installed on a ~2800 CPU farm Debian, SuSE, Mandrake

By ango (0 views)

Introduction to Boston University’s Scientific Computing Facility

Introduction to Boston University’s Scientific Computing Facility

Introduction to Boston University’s Scientific Computing Facility. Doug Sondak sondak@bu.edu Scientific Computing and Visualization. Outline. Introduction Hardware Software Account Information Tutorials Some Basic Unix Commands How to Run Batch. Introduction.

By barclay (101 views)

Scientific Computing

Scientific Computing

Scientific Computing. Numerical Solution Of Ordinary Differential Equations - Runge-Kutta Methods. Runge-Kutta Methods. If we take more terms in the Taylor’s Series expansion of f(t,x), we would get a more accurate solution algorithm.

By louvain (138 views)

Scientific Computing

Scientific Computing

Scientific Computing. Linear Systems – Gaussian Elimination. Linear Systems. Linear Systems. Solve Ax=b, where A is an n  n matrix and b is an n  1 column vector We can also talk about non-square systems where A is m  n , b is m  1, and x is n  1

By alaura (148 views)

Scientific Computing

Scientific Computing

Scientific Computing. Introduction to Matlab Programming. Today. We will introduce the programming environment for our course: Matlab We will cover: Basic Operations, Functions, Plotting Vectors, Looping Creating a new Function in a M-file. Why Matlab?.

By helki (148 views)

Scientific Computing

Scientific Computing

Scientific Computing. Dr. Guy Tel- Zur. Version 28-05-2011.12:40. Agenda. Administration Visualization Visualization in Sage VisIt : Tutorial The Silo file format A demo program Animation Demo : AWS – HTC Instance for Parallel Computing and Cellular Automata / NKS demo on the cloud

By isaiah (130 views)

Scientific Computing

Scientific Computing

Scientific Computing. Partial Differential Equations Explicit Solution of Heat Equation. The one-dimensional Heat Equation for the temperature u(x,t) in a rod at time t is given by: where c >0, T>0 are constants. One Dimensional Heat Equation.

By stone-matthews (73 views)

Scientific Computing

Scientific Computing

Scientific Computing. Interpolation – Divided Differences Efficiency and Error Analysis. How is Interpolation used?. Here is a table of values for the temperature at a given depth for a lake. We want a good estimate of the temperature at a depth of 7.5 meters. Newton’s Nested Formula.

By dayo (57 views)

Scientific Computing

Scientific Computing

Scientific Computing. Linear Systems – LU Factorization. LU Factorization. Today we will show that the Gaussian Elimination method can be used to factor (or decompose ) a square, invertible, matrix A into two parts, A = LU, where:

By fay-gamble (52 views)

Scientific Computing

Scientific Computing

Scientific Computing. Numerical Solution Of Ordinary Differential Equations - Euler’s Method. Bungee Jumper – Coupled ODEs. Bungee Jumper – Coupled ODEs. We want to model the vertical dynamics of a jumper connected to a stationary platform with a bungee cord. F=ma Forces :

By dagmar (196 views)