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Motion Detail Preserving Optical Flow Estimation

Motion Detail Preserving Optical Flow Estimation

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Li Xu. 1. , . Jiaya. Jia. 1. , Yasuyuki Matsush...

Structured ALE Solver

Structured ALE Solver

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Overview. Structured ALE mesh automatically gener...

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GEM Student Tutorial:

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A Verification Infrastructure for Permission-Base...

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Solving Linear programs using excel

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Dr. Ron Lembke. Formulating in Excel. Write the L...

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Solver & Optimization Problems

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An optimization problem is a problem in which we ...

High Performance Linear System Solvers with Focus on Graph

High Performance Linear System Solvers with Focus on Graph

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Richard Peng. Georgia Tech. Based on . recent wor...

Deep learning using

Deep learning using

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Caffe. Practical guide. Open source deep learning...

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Quantifiers in

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Satisfiability. Modulo Theories . Frontiers . of...

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Teaching Management Science in

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2011. Using . Spreadsheet Modeling and Decision A...

An Efficient Parallel Solver for SDD Linear Systems

An Efficient Parallel Solver for SDD Linear Systems

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GPU-Based Parallel Solver via Kantorovich Theorem for The N

GPU-Based Parallel Solver via Kantorovich Theorem for The N

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Polynomial Systems. Feifei Wei, Jieqing Feng, Hon...

Design and Implementation of Adaptive Signal

Design and Implementation of Adaptive Signal

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Processing Systems Using Markov Decision. Process...

Frequency assignment for satellite communication systems

Frequency assignment for satellite communication systems

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Kata. KIATMANAROJ. Supervisors: Christian ARTIGU...

Clio Digital Code Assistant

Clio Digital Code Assistant

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for the Big Code Era. Stelios Sidiroglou-Douskos ...

How Can I Be A Problem Solver?

How Can I Be A Problem Solver?

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UPS. Understand. Plan. Solve. Check Yo...

On the Unreasonable E ffectiveness of

On the Unreasonable E ffectiveness of

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B. oolean SAT Solvers. Ed Zulkoski. in collaborat...

Irregularly Portioned Lagrangian

Irregularly Portioned Lagrangian

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Monte-Carlo for Turbulent Reacting Flow Simulati...

Probabilistic Inference Modulo Theories

Probabilistic Inference Modulo Theories

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Rodrigo de Salvo Braz. Ciaran O’Reilly. Artific...

Tutorial 10: Performing What-If Analyses

Tutorial 10: Performing What-If Analyses

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New Perspectives on Microsoft Excel 2010. 2. Obje...

Empirically Relating Complexity-theoretic Parameters with

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SAT Solver Performance. Ed Zulkoski. 1. , . Ruben...

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Time Integration DVI and HHT time stepping methods in Chrono

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Time Integration in Chrono. Two classes of time s...

Lazy Proofs for DPLL(T)-Based SMT Solvers

Lazy Proofs for DPLL(T)-Based SMT Solvers

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Guy Katz. Schloss. . Dagstuhl. , October 2016. A...

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Transportation Problems Dr.

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Ron . Lembke. Transportation Problems. Linear pro...

2016 Open Enrollment October 20 – November 2, 2015

2016 Open Enrollment October 20 – November 2, 2015

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2016 Benefit Changes. Wellness Plans Design. Medi...

Non- Restarting SAT Solvers With Simple

Non- Restarting SAT Solvers With Simple

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Preprocessing. Can . Efficiently. . Simulate. ...

DryadOpt: Branch-and-Bound on Distributed Data-Parallel

DryadOpt: Branch-and-Bound on Distributed Data-Parallel

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Execution Engines. Mihai Budiu, Daniel Delling, R...

Simulation and Risk Analysis

Simulation and Risk Analysis

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Copyright © 2013 Pearson Education, Inc. publish...

Chapter 7 Nonlinear Optimization Models

Chapter 7 Nonlinear Optimization Models

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Introduction. In many complex optimization proble...

With contributions from: I.

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UQ for the Global Atmosphere Using Concurrent Samples

UQ for the Global Atmosphere Using Concurrent Samples

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Bill . Spotz. , Sandia National Laboratories. SIA...

PDE2D, A General-Purpose PDE Solver

PDE2D, A General-Purpose PDE Solver

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Granville Sewell. Mathematics Dept.. University o...

Chapter 4 Linear Programming Models

Chapter 4 Linear Programming Models

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Introduction. In a recent survey of Fortune 500 f...

BOLTZMANN-FOKKER-PLANCK KINETIC SOLVER

BOLTZMANN-FOKKER-PLANCK KINETIC SOLVER

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WITH ADAPTIVE MESH IN PHASE SPACE. DOE Plasma Sci...

WEIGHTING SUB-POPULATIONS IN MORTALITY

WEIGHTING SUB-POPULATIONS IN MORTALITY

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On the Path to Trinity - Experiences Bringing Codes to the Next Generation ASC Platform

On the Path to Trinity - Experiences Bringing Codes to the Next Generation ASC Platform

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Courtenay T. . Vaughan and. Simon D. Hammond. San...

San Jose State University

San Jose State University

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Engineering 10. 1. Solver. Excel’s. Feature. KY...

Linear Programming Operations Management

Linear Programming Operations Management

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Dr. Ron . Lembke. Motivating Example. Suppose you...

Chapter 6 Optimization Models with Integer Variables

Chapter 6 Optimization Models with Integer Variables

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Introduction. In this chapter, we show how many c...

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