'Problem formulation' diaporamas de présentation

Resource Allocation

Resource Allocation. Class 7: 3/9/11. 3.1 Why Network Planning?. Find the right balance between inventory, transportation and manufacturing costs, Match supply and demand under uncertainty by positioning and managing inventory effectively,

1.34k views • 64 slides

Marketing and CS

582 views • 47 slides

By Nithiapidary Muthuvelu FIT Supervisor: Dr Ian Chai Co-supervisor: Dr David Chieng Heng Tze

Grid Computing . Research Seminar . DYNAMIC JOB GROUPING-BASED SCHEDULING FOR GRID APPLICATION. By Nithiapidary Muthuvelu FIT Supervisor: Dr Ian Chai Co-supervisor: Dr David Chieng Heng Tze. Grid Computing . Contents. Grid Computing Resource Broker Motivation Objectives

828 views • 39 slides

Optimal Staffing of Systems with Skills-Based-Routing

Optimal Staffing of Systems with Skills-Based-Routing. Master Defense, February 2 nd , 2009 Zohar Feldman Advisor : Prof. Avishai Mandelbaum. Contents. S kills- B ased- R outing ( SBR ) Model The Optimization Problem Related Work Optimization Algorithm ( Stochastic Approximation )

487 views • 37 slides

Distance sensitivity oracles

Distance sensitivity oracles. Surender Baswana Department of CSE, IIT Kanpur. Shortest paths problem. Definition: Given a graph G=(V,E), w : E ? R, build a data structure which can report shortest path or distance between any pair of vertices. P( u,v ) : shortest path from u to v

507 views • 37 slides

Mathematical Modeling: What it is; What it looks like in the classroom; W hy it is so important

Mathematical Modeling: What it is; What it looks like in the classroom; W hy it is so important. Facilitators: Eric Robinson Teri Calabrese-Gray. Presentation Overview:. What is Mathematical Modeling? Examples of mathematical modeling problems

828 views • 30 slides

Mathematical Modeling: What it is; What it looks like in the classroom; W hy it is so important

Mathematical Modeling: What it is; What it looks like in the classroom; W hy it is so important. Facilitators: Eric Robinson Teri Calabrese-Gray. Presentation Overview:. What is Mathematical Modeling? Examples of mathematical modeling problems

425 views • 30 slides

Provably Good Global Buffering by Multiterminal Multicommodity Flow Approximation

Provably Good Global Buffering by Multiterminal Multicommodity Flow Approximation. F.F. Dragan (Kent State) A.B. Kahng (UCSD) I. Mandoiu (UCLA) S. Muddu (Sanera Systems) A. Zelikovsky (Georgia State). Outline. Buffer-block methodology for global buffering

459 views • 29 slides

Research : An Introduction

Research : An Introduction. Compiled and Prepared by DR. BRICCIO M. MERCED, JR. Professor, Library and Information Science. Topic Coverage. Foundations Sampling Measurement Design Analysis Write-up. Foundations. Language Of Research Philosophy of Research Ethics in Research

388 views • 28 slides

Discovering Evolutionary Theme Patterns from Text -An exploration of Temporal Text Mining

672 views • 27 slides

Possible applications of stochastic physics

Possible applications of stochastic physics. Ekaterina Machulskaya German Weather Service, Offenbach am Main, Germany ( ekaterina.machulskaya@dwd.de). Working Group 3a 2 September 2013. Outline. Motivation: what do we want to achieve? Formulation of the problem

448 views • 26 slides

Assessment of Imprecise Reliability Using Efficient Probabilistic Reanalysis

Assessment of Imprecise Reliability Using Efficient Probabilistic Reanalysis. Farizal Efstratios Nikolaidis SAE 2007 World Congress . Outline. Introduction Objective Approach Example Calculation of Upper and Lower Reliabilities of System with Dynamic Vibration Absorber Conclusion.

414 views • 25 slides

Metallurgical Engineering and Materials Science Department IIT Bombay

623 views • 25 slides

Lecture 9 Software Pipelining

Lecture 9 Software Pipelining. Introduction Problem Formulation Algorithm. I. Example of DoAll Loops. Machine: Per clock: 1 read , 1 write , 1 (2-stage) arithmetic op , with hardware loop op and auto-incrementing addressing mode. Source code:

500 views • 24 slides

Uncovering the Problem-Solving Process:

586 views • 22 slides

Yaxiong Zhao and Jie Wu yaxiong.zhao@temple.edu Yaxiong Zhao will be graduating next summer!

Analysis and algorithms of the construction of the minimum cost content-based publish/subscribe overlay. Yaxiong Zhao and Jie Wu yaxiong.zhao@temple.edu Yaxiong Zhao will be graduating next summer!. Outline. Introduction Analysis Integer programming formulation Two-stage approximation

348 views • 20 slides

Marketing Research Process

520 views • 18 slides

K-Means

K-Means. Michael Jones ENEE698Q Fall 2011. Overview. Introduction Problem Formulation How K-Means Works Pros and Cons of Using K-Means How to Improve K-Means K-Means on a Manifold Vector Quantization. Introduction.

597 views • 14 slides

Consistency-Based Diagnosis

335 views • 14 slides

Technical Writing

Technical Writing. Structure, Logic (between sentences and paragraphs), and Strictness (no holes). Know who is your audiences Structure Title and keyword: concise and hit the point, for google users Abstract: 200 words, for directors who have 20 seconds Why it is a good topic

125 views • 3 slides