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ORCIDMatthew West 0001
Matt West 0001
Person information
- affiliation: University of Illinois at Urbana-Champaign, Urbana, IL, USA
Other persons with the same name
- Matthew West 0002 — Shell International Petroleum Company Limited, London, UK
- Matthew West 0003 — Information Junction Ltd
- Matthew West 0004 — Massachusetts General Hospital, Department of Neurology, MA, USA
- Matt West 0002 — Georgia Institute of Technology, School of Materials Science and Engineering, Atlanta, GA, USA
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2020 – today
- 2024
[j20]Tareq Uz Zaman
, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Generalizing reduction-based algebraic multigrid. Numer. Linear Algebra Appl. 31(3) (2024)- [j19]Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Generalizing Lloyd's Algorithm for Graph Clustering. SIAM J. Sci. Comput. 46(5): 2819- (2024) - [j18]Zachary D'Aquino, Sylwester Arabas, Jeffrey H. Curtis, Akshunna Vaishnav, Nicole Riemer, Matthew West:
PyPartMC: A Pythonic interface to a particle-resolved, Monte Carlo aerosol simulation framework. SoftwareX 25: 101613 (2024) - [c65]Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Luke N. Olson, Matthew West:
Learning from Integral Losses in Physics Informed Neural Networks. ICML 2024 - [c64]Chinedu Emeka, Matthew West, Craig B. Zilles, Mariana Silva:
A Comparison of Proctoring Regimens for Computer-Based Computer Science Exams. ITiCSE (1) 2024 - [c63]Binglin Chen, Colleen M. Lewis, Matthew West, Craig B. Zilles:
Plagiarism in the Age of Generative AI: Cheating Method Change and Learning Loss in an Intro to CS Course. L@S 2024: 75-85 - [c62]Rishi Gulati, Matthew West, Craig B. Zilles, Mariana Silva:
Comparing the Security of Three Proctoring Regimens for Bring-Your-Own-Device Exams. SIGCSE (1) 2024: 429-435 - [c61]Seth Poulsen, Yael Gertner, Hongxuan Chen, Benjamin Cosman, Matthew West, Geoffrey L. Herman:
Disentangling the Learning Gains from Reading a Book Chapter and Completing Proof Blocks Problems. SIGCSE (1) 2024: 1056-1062 - [c60]Armando Fox, Dan Garcia, Cinda Heeren, Firas Moosvi, Mariana Silva, Matthew West, Craig B. Zilles:
Experiences With Computer-Based Testing (CBT). SIGCSE (2) 2024: 1909 - 2023
- [j17]Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Coarse-grid selection using simulated annealing. J. Comput. Appl. Math. 431: 115263 (2023) - [c59]Seth Poulsen, Shubhang Kulkarni, Geoffrey L. Herman, Matthew West:
Efficient Feedback and Partial Credit Grading for Proof Blocks Problems. AIED 2023: 502-514 - [c58]Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal, Onur Yilmaz, Haggai Maron, Matthew West:
Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. DaWaK 2023: 303-315 - [c57]Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West:
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods. ICML 2023: 33381-33395 - [c56]Hongxuan Chen, Matthew West, Sascha Hilgenfeldt, Mariana Silva:
Measuring the Impact of a Computational Linear Algebra Course on Students' Exam Performance in a Subsequent Numerical Methods Course. SIGCSE (1) 2023: 115-121 - [c55]Seth Poulsen, Yael Gertner, Benjamin Cosman, Matthew West, Geoffrey L. Herman:
Efficiency of Learning from Proof Blocks Versus Writing Proofs. SIGCSE (1) 2023: 472-478 - [c54]David H. Smith IV, Chinedu Emeka, Max Fowler, Matthew West, Craig B. Zilles:
Investigating the Effects of Testing Frequency on Programming Performance and Students' Behavior. SIGCSE (1) 2023: 757-763 - [c53]Dan Garcia, Armando Fox, Solomon Russell, Edwin Ambrosio, Neal Terrell, Mariana Silva, Matthew West, Craig B. Zilles, Fuzail Shakir:
A's for All (As Time and Interest Allow). SIGCSE (1) 2023: 1042-1048 - [c52]Dan Garcia, Connor McMahon, Yuan Garcia, Craig B. Zilles, Matthew West, Mariana Silva, Solomon Russell, Edwin Ambrosio, Neal Terrell:
Actually Achieving "A's for All" (As Time and Interest Allow). SIGCSE (2) 2023: 1175 - [i23]Ali Taghibakhshi, Nicolas Nytko, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West:
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods. CoRR abs/2301.11378 (2023) - [i22]Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Generalizing Lloyd's algorithm for graph clustering. CoRR abs/2303.01667 (2023) - [i21]Ali Taghibakhshi, Mingyuan Ma, Ashwath Aithal, Onur Yilmaz, Haggai Maron, Matthew West:
Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. CoRR abs/2304.03215 (2023) - [i20]Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Luke N. Olson, Matthew West:
Learning from Integral Losses in Physics Informed Neural Networks. CoRR abs/2305.17387 (2023) - [i19]Zachary D'Aquino, Sylwester Arabas, Jeffrey H. Curtis, Akshunna Vaishnav, Nicole Riemer, Matthew West:
PyPartMC: A Pythonic interface to a particle-resolved, Monte Carlo aerosol simulation framework. CoRR abs/2308.02052 (2023) - [i18]Seth Poulsen, Hongxuan Chen, Yael Gertner, Benjamin Cosman, Matthew West, Geoffrey L. Herman:
Measuring the Impact of Distractors on Student Learning Gains while Using Proof Blocks. CoRR abs/2311.00792 (2023) - 2022
- [j16]Max Fowler, David H. Smith IV, Mohammed Hassan, Seth Poulsen, Matthew West, Craig B. Zilles:
Reevaluating the relationship between explaining, tracing, and writing skills in CS1 in a replication study. Comput. Sci. Educ. 32(3): 355-383 (2022) - [j15]Seth Poulsen, Mahesh Viswanathan, Geoffrey L. Herman, Matthew West:
Evaluating proof blocks problems as exam questions. Inroads 13(1): 41-51 (2022) - [c51]Seth Poulsen, Shubhang Kulkarni, Geoffrey L. Herman, Matthew West:
Benchmarking Partial Credit Grading Algorithms for Proof Blocks Problems. AIED (2) 2022: 199-203 - [c50]Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta:
Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. ACC 2022: 3648-3655 - [c49]Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta:
How does a Rational Agent Act in an Epidemic? CDC 2022: 5536-5543 - [c48]Seth Poulsen, Mahesh Viswanathan, Geoffrey L. Herman, Matthew West:
Proof Blocks: Autogradable Scaffolding Activities for Learning to Write Proofs. ITiCSE (1) 2022: 428-434 - [c47]Dan Garcia, Connor McMahon, Yuan Garcia, Matthew West, Craig B. Zilles:
Achieving "A's for All (as Time and Interest Allow)". L@S 2022: 255-258 - [c46]Dan Garcia, Connor McMahon, Yuan Garcia, Matthew West, Craig B. Zilles:
Software Support for "A's for All". L@S 2022: 475-476 - [c45]Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Matthew West:
Truly Deterministic Policy Optimization. NeurIPS 2022 - [c44]Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Learning Interface Conditions in Domain Decomposition Solvers. NeurIPS 2022 - [c43]Binglin Chen, Matthew West, Craig B. Zilles:
Peer-grading "Explain in Plain English": A Bayesian Calibration Method for Categorical Answers. SIGCSE (1) 2022: 133-139 - [c42]Max Fowler, David H. Smith IV, Chinedu Emeka, Matthew West, Craig B. Zilles:
Are We Fair?: Quantifying Score Impacts of Computer Science Exams with Randomized Question Pools. SIGCSE (1) 2022: 647-653 - [i17]Seth Poulsen, Shubhang Kulkarni, Geoffrey L. Herman, Matthew West:
Efficient Partial Credit Grading of Proof Blocks Problems. CoRR abs/2204.04196 (2022) - [i16]Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Learning Interface Conditions in Domain Decomposition Solvers. CoRR abs/2205.09833 (2022) - [i15]Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Matthew West:
Truly Deterministic Policy Optimization. CoRR abs/2205.15379 (2022) - [i14]Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta:
How does a Rational Agent Act in an Epidemic? CoRR abs/2206.02222 (2022) - [i13]Seth Poulsen, Yael Gertner, Benjamin Cosman, Matthew West, Geoffrey L. Herman:
Efficiency of Learning from Proof Blocks Versus Writing Proofs. CoRR abs/2211.09609 (2022) - [i12]Nicolas Nytko, Ali Taghibakhshi, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West:
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation. CoRR abs/2212.05159 (2022) - [i11]Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Generalizing Reduction-Based Algebraic Multigrid. CoRR abs/2212.08371 (2022) - 2021
- [j14]Yu Wang, Nima Roohi, Matthew West, Mahesh Viswanathan, Geir E. Dullerud:
Verifying Stochastic Hybrid Systems with Temporal Logic Specifications via Model Reduction. ACM Trans. Embed. Comput. Syst. 20(6): 113:1-113:27 (2021) - [c41]Sukru Yagiz Olmez, Jameson Mori, Erik Miehling, Tamer Basar, Rebecca L. Smith, Matthew West, Prashant G. Mehta:
A Data-Informed Approach for Analysis, Validation, and Identification of COVID-19 Models. ACC 2021: 3138-3144 - [c40]Max Fowler, Binglin Chen, Matthew West, Craig B. Zilles:
How productive are homework and elective practice? Applying a post hoc modeling of student knowledge in a large, introductory computing course (Full Paper). EDM (Workshops) 2021 - [c39]Chinedu Emeka, Timothy Bretl, Geoffrey L. Herman, Matthew West, Craig B. Zilles:
Students' Perceptions and Behavior Related to Second-Chance Testing. FIE 2021: 1-8 - [c38]Ali Taghibakhshi, Nathan Ogden, Matthew West:
Local Navigation and Docking of an Autonomous Robot Mower Using Reinforcement Learning and Computer Vision. ICCAE 2021: 10-14 - [c37]Seth Poulsen, Mahesh Viswanathan, Geoffrey L. Herman, Matthew West:
Evaluating Proof Blocks Problems as Exam Questions. ICER 2021: 157-168 - [c36]Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning. NeurIPS 2021: 12129-12140 - [c35]Maxwell Fowler, Binglin Chen, Sushmita Azad, Matthew West, Craig B. Zilles:
Autograding. SIGCSE 2021: 1163-1169 - [i10]Ali Taghibakhshi, Nathan Ogden, Matthew West:
Local Navigation and Docking of an Autonomous Robot Mower using Reinforcement Learning and Computer Vision. CoRR abs/2101.06248 (2021) - [i9]Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West:
Coarse-Grid Selection Using Simulated Annealing. CoRR abs/2105.13280 (2021) - [i8]Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning. CoRR abs/2106.01854 (2021) - [i7]Seth Poulsen, Mahesh Viswanathan, Geoffrey L. Herman, Matthew West:
Proof Blocks: Autogradeable Scaffolding Activities for Learning to Write Proofs. CoRR abs/2106.11032 (2021) - [i6]Matthew L. Dawson, Christian Guzman, Jeffrey H. Curtis, Mario Acosta, Shupeng Zhu, Donald Dabdub, Andrew Conley, Matthew West, Nicole Riemer, Oriol Jorba:
Chemistry Across Multiple Phases (CAMP) version 1.0: An integrated multi-phase chemistry model. CoRR abs/2111.07436 (2021) - [i5]Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta:
Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. CoRR abs/2111.10422 (2021) - 2020
- [c34]Sushmita Azad, Binglin Chen, Maxwell Fowler, Matthew West, Craig B. Zilles:
Strategies for Deploying Unreliable AI Graders in High-Transparency High-Stakes Exams. AIED (1) 2020: 16-28 - [c33]Nima Roohi, Yu Wang, Matthew West, Geir E. Dullerud, Mahesh Viswanathan:
STMC: Statistical Model Checker with Stratified and Antithetic Sampling. CAV (2) 2020: 448-460 - [c32]Yu Wang, Nima Roohi, Matthew West, Mahesh Viswanathan, Geir E. Dullerud:
Statistically Model Checking PCTL Specifications on Markov Decision Processes via Reinforcement Learning. CDC 2020: 1392-1397 - [c31]Seth Poulsen, Carolyn J. Anderson, Matthew West:
The Relationship Between Course Scheduling and Student Performance. CSEDM@EDM 2020 - [c30]Geoffrey L. Herman, Zhouxiang Cai, Timothy Bretl, Craig B. Zilles, Matthew West:
Comparison of Grade Replacement and Weighted Averages for Second-Chance Exams. ICER 2020: 56-66 - [c29]Binglin Chen, Sushmita Azad, Maxwell Fowler, Matthew West, Craig B. Zilles:
Learning to Cheat: Quantifying Changes in Score Advantage of Unproctored Assessments Over Time. L@S 2020: 197-206 - [c28]Ashank Verma, Timothy Bretl, Matthew West, Craig B. Zilles:
A Quantitative Analysis of When Students Choose to Grade Questions on Computerized Exams with Multiple Attempts. L@S 2020: 329-332 - [c27]Binglin Chen, Sushmita Azad, Rajarshi Haldar, Matthew West, Craig B. Zilles:
A Validated Scoring Rubric for Explain-in-Plain-English Questions. SIGCSE 2020: 563-569 - [c26]Mariana Silva, Matthew West, Craig B. Zilles:
Measuring the Score Advantage on Asynchronous Exams in an Undergraduate CS Course. SIGCSE 2020: 873-879 - [i4]Yu Wang, Nima Roohi, Matthew West, Mahesh Viswanathan, Geir E. Dullerud:
Statistically Model Checking PCTL Specifications on Markov Decision Processes via Reinforcement Learning. CoRR abs/2004.00273 (2020) - [i3]Yu Wang, Nima Roohi, Matthew West, Mahesh Viswanathan, Geir E. Dullerud:
Verifying Stochastic Hybrid Systems with Temporal Logic Specifications via Model Reduction. CoRR abs/2009.07649 (2020) - [i2]Zhonghua Zheng, Joseph Ching, Jeffrey H. Curtis, Yu Yao, Peng Xu, Matthew West, Nicole Riemer:
Unsupervised Regionalization of Particle-resolved Aerosol Mixing State Indices on the Global Scale. CoRR abs/2012.03365 (2020)
2010 – 2019
- 2019
- [j13]Yu Wang, Nima Roohi, Matthew West, Mahesh Viswanathan, Geir E. Dullerud:
Statistical verification of PCTL using antithetic and stratified samples. Formal Methods Syst. Des. 54(2): 145-163 (2019) - [c25]Binglin Chen, Craig B. Zilles, Matthew West, Timothy Bretl:
Effect of Discrete and Continuous Parameter Variation on Difficulty in Automatic Item Generation. AIED (1) 2019: 71-83 - [c24]Craig B. Zilles, Matthew West, Geoffrey L. Herman, Timothy Bretl:
Every University Should Have a Computer-Based Testing Facility. CSEDU (1) 2019: 414-420 - [c23]Binglin Chen, Matthew West, Craig B. Zilles:
Predicting the difficulty of automatic item generators on exams from their difficulty on homeworks. L@S 2019: 34:1-34:4 - [i1]Chenchao Shou, Matthew West:
A tree-based radial basis function method for noisy parallel surrogate optimization. CoRR abs/1908.07980 (2019) - 2018
- [j12]Jonathan H. Tomkin, Matthew West, Geoffrey L. Herman:
An Improved Grade Point Average, With Applications to CS Undergraduate Education Analytics. ACM Trans. Comput. Educ. 18(4): 17:1-17:16 (2018) - [c22]Yu Wang, Nima Roohi, Matthew West, Mahesh Viswanathan, Geir E. Dullerud:
Statistical Verification of PCTL Using Stratified Samples. ADHS 2018: 85-90 - [c21]Binglin Chen, Matthew West, Craig B. Zilles:
Towards a Model-Free Estimate of the Limits to Student Modeling Accuracy. EDM 2018 - [c20]Craig B. Zilles, Matthew West, David Mussulman, Timothy Bretl:
Making Testing Less Trying: Lessons Learned from Operating a Computer-Based Testing Facility. FIE 2018: 1-9 - [c19]Binglin Chen, Matthew West, Craig B. Zilles:
How much randomization is needed to deter collaborative cheating on asynchronous exams? L@S 2018: 62:1-62:10 - [c18]Terence Nip, Elsa L. Gunter, Geoffrey L. Herman, Jason W. Morphew, Matthew West:
Using a Computer-based Testing Facility to Improve Student Learning in a Programming Languages and Compilers Course. SIGCSE 2018: 568-573 - 2017
- [c17]Nima Roohi, Yu Wang, Matthew West, Geir E. Dullerud, Mahesh Viswanathan:
Statistical Verification of the Toyota Powertrain Control Verification Benchmark. HSCC 2017: 65-70 - [c16]Binglin Chen, Matthew West, Craig B. Zilles:
Do Performance Trends Suggest Wide-spread Collaborative Cheating on Asynchronous Exams? L@S 2017: 111-120 - 2016
- [j11]Jeffrey H. Curtis, M. D. Michelotti, Nicole Riemer, Michael T. Heath, Matthew West:
Accelerated simulation of stochastic particle removal processes in particle-resolved aerosol models. J. Comput. Phys. 322: 21-32 (2016) - [j10]Peter A. Maginnis, Matthew West, Geir E. Dullerud:
Variance-reduced simulation of lattice discrete-time Markov chains with applications in reaction networks. J. Comput. Phys. 322: 400-414 (2016) - [c15]Peter A. Maginnis, Matthew West, Geir E. Dullerud:
Variance-reduced model predictive control of Markov jump processes. ACC 2016: 5376-5380 - [c14]Yu Wang, Nima Roohi, Matthew West, Mahesh Viswanathan, Geir E. Dullerud:
Verifying Continuous-time Stochastic Hybrid Systems via Mori-Zwanzig model reduction. CDC 2016: 3012-3017 - [c13]Shufeng Ma, Matthew West, Geoffrey L. Herman, Jonathan H. Tomkin, Jose Mestre:
Studying faculty Communities of Practice through social network analysis. FIE 2016: 1-5 - [c12]Jonathan H. Tomkin, Matthew West, Geoffrey L. Herman:
A methodological refinement for studying the STEM grade-point penalty. FIE 2016: 1-5 - [c11]Matthew West, Craig B. Zilles:
Modeling Student Scheduling Preferences in a Computer-Based Testing Facility. L@S 2016: 309-312 - 2015
- [j9]Mehdi Saghafi, Harry Dankowicz, Matthew West:
On the Use of Nonlinear Boundary-Value Problems to Estimate the Cloud-Formation Potential of Aerosol Particles. SIAM J. Appl. Dyn. Syst. 14(2): 822-859 (2015) - [c10]Yu Wang, Nima Roohi, Matthew West, Mahesh Viswanathan, Geir E. Dullerud:
A Mori-Zwanzig and MITL Based Approach to Statistical Verification of Continuous-time Dynamical Systems. ADHS 2015: 267-273 - [c9]Yu Wang, Nima Roohi, Matthew West, Mahesh Viswanathan, Geir E. Dullerud:
Statistical verification of dynamical systems using set oriented methods. HSCC 2015: 169-178 - 2014
- [c8]Peter A. Maginnis, Matthew West, Geir E. Dullerud:
Exact simulation of continuous time Markov jump processes with anticorrelated variance reduced Monte Carlo estimation. CDC 2014: 3401-3407 - 2013
- [j8]M. D. Michelotti, Michael T. Heath, Matthew West:
Binning for Efficient Stochastic Multiscale Particle Simulations. Multiscale Model. Simul. 11(4): 1071-1096 (2013) - [j7]Ta-Chung Wang, Sanjay Lall, Matthew West:
Polynomial Level-Set Method for Polynomial System Reachable Set Estimation. IEEE Trans. Autom. Control. 58(10): 2508-2521 (2013) - [j6]Sun Hwan Lee, Matthew West:
Convergence of the Markov Chain Distributed Particle Filter (MCDPF). IEEE Trans. Signal Process. 61(4): 801-812 (2013) - [c7]Peter A. Maginnis, Matthew West, Geir E. Dullerud:
Anticorrelated discrete-time stochastic simulation. CDC 2013: 618-623 - 2012
- [j5]Ta-Chung Wang, Sanjay Lall, Matthew West:
Polynomial level-set method for attractor estimation. J. Frankl. Inst. 349(9): 2783-2798 (2012) - [c6]Peter A. Maginnis, Matthew West, Geir E. Dullerud:
Application of variance reduction techniques for tau-leaping systems to particle filters. CDC 2012: 6683-6689 - 2011
- [j4]R. E. Lee DeVille, Nicole Riemer, Matthew West:
Weighted Flow Algorithms (WFA) for stochastic particle coagulation. J. Comput. Phys. 230(23): 8427-8451 (2011)
2000 – 2009
- 2009
- [c5]Carolyn L. Beck, Sanjay Lall, Tzuchen Liang, Matthew West:
Model reduction, optimal prediction, and the Mori-Zwanzig representation of Markov chains. CDC 2009: 3282-3287 - [c4]Christina Selle, Matthew West:
Multiscale networks for distributed consensus algorithms. CDC 2009: 4753-4758 - [c3]Sun Hwan Lee, Matthew West:
Markov Chain Distributed Particle Filters (MCDPF). CDC 2009: 5496-5501 - 2008
- [c2]Jong-Han Kim, Matthew West, Eelco Scholte, Satish Narayanan:
Multiscale consensus for decentralized estimation and its application to building systems. ACC 2008: 888-893 - [c1]Jong-Han Kim, Matthew West, Sanjay Lall, Eelco Scholte, Andrzej Banaszuk:
Stochastic multiscale approaches to consensus problems. CDC 2008: 5551-5557 - 2005
- [j3]Harish S. Bhat, Razvan C. Fetecau, Jerrold E. Marsden, Kamran Mohseni, Matthew West:
Lagrangian Averaging for Compressible Fluids. Multiscale Model. Simul. 3(4): 818-837 (2005) - 2004
- [j2]Marcel Oliver, Matthew West, Claudia Wulff:
Approximate momentum conservation for spatial semidiscretizations of semilinear wave equations. Numerische Mathematik 97(3): 493-535 (2004) - 2003
- [j1]Razvan C. Fetecau, Jerrold E. Marsden, Michael Ortiz, Matthew West:
Nonsmooth Lagrangian Mechanics and Variational Collision Integrators. SIAM J. Appl. Dyn. Syst. 2(3): 381-416 (2003)
Coauthor Index