| 2009 |
|---|
| 127 | EE | Qi Wu,
Jian-Qiang Lu,
Kenneth Rose,
Tong Zhang:
Efficient implementation of decoupling capacitors in 3D processor-dram integrated computing systems.
ACM Great Lakes Symposium on VLSI 2009: 245-250 |
| 126 | EE | Shu Li,
Tong Zhang:
Improving multi-level NAND flash memory storage reliability using concatenated TCM-BCH coding.
ACM Great Lakes Symposium on VLSI 2009: 499-504 |
| 125 | EE | Shu Li,
Tong Zhang:
Exploratory study on circuit and architecture design of very high density diode-switch phase change memories.
ISQED 2009: 424-429 |
| 124 | EE | Rakesh Anigundi,
Hongbin Sun,
Jian-Qiang Lu,
Kenneth Rose,
Tong Zhang:
Architecture design exploration of three-dimensional (3D) integrated DRAM.
ISQED 2009: 86-90 |
| 123 | EE | Daniel Hsu,
Sham M. Kakade,
John Langford,
Tong Zhang:
Multi-Label Prediction via Compressed Sensing
CoRR abs/0902.1284: (2009) |
| 122 | EE | Evgeniy Gabrilovich,
Andrei Z. Broder,
Marcus Fontoura,
Amruta Joshi,
Vanja Josifovski,
Lance Riedel,
Tong Zhang:
Classifying search queries using the Web as a source of knowledge.
TWEB 3(2): (2009) |
| 2008 |
|---|
| 121 | | Rocco A. Servedio,
Tong Zhang:
21st Annual Conference on Learning Theory - COLT 2008, Helsinki, Finland, July 9-12, 2008
Omnipress 2008 |
| 120 | EE | Jun Xiao,
Tong Zhang:
Face bubble: photo browsing by faces.
AVI 2008: 343-346 |
| 119 | EE | Hongbin Sun,
Nanning Zheng,
Tong Zhang:
Realization of L2 Cache Defect Tolerance Using Multi-bit ECC.
DFT 2008: 254-262 |
| 118 | EE | Linxing Xiao,
Jie Zhou,
Tong Zhang:
Using dtw based unsupervised segmentation to improve the vocal part detection in pop music.
ICME 2008: 1193-1196 |
| 117 | EE | Wei Xu,
Tong Zhang,
Yiran Chen:
Spin-transfer torque magnetoresistive content addressable memory (CAM) cell structure design with enhanced search noise margin.
ISCAS 2008: 1898-1901 |
| 116 | EE | Yang Liu,
Fei Sun,
Tong Zhang:
Energy-efficient soft-output trellis decoder design using trellis quasi-reduction and importance-aware clock skew scheduling.
ISCAS 2008: 740-743 |
| 115 | EE | Tong Zhang:
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models.
NIPS 2008: 1921-1928 |
| 114 | EE | Tong Zhang:
Multi-stage Convex Relaxation for Learning with Sparse Regularization.
NIPS 2008: 1929-1936 |
| 113 | EE | John Langford,
Lihong Li,
Tong Zhang:
Sparse Online Learning via Truncated Gradient.
NIPS 2008: 905-912 |
| 112 | EE | Tong Zhang,
Hanchun Yang,
Yinnian He:
Interactions between two rarefaction waves for the pressure-gradient equations in the gas dynamics.
Applied Mathematics and Computation 199(1): 231-241 (2008) |
| 111 | EE | John Langford,
Lihong Li,
Tong Zhang:
Sparse Online Learning via Truncated Gradient
CoRR abs/0806.4686: (2008) |
| 110 | EE | Daniel Hsu,
Sham M. Kakade,
Tong Zhang:
A Spectral Algorithm for Learning Hidden Markov Models
CoRR abs/0811.4413: (2008) |
| 109 | EE | Christoph Tillmann,
Tong Zhang:
An Online Relevant Set Algorithm for Statistical Machine Translation.
IEEE Transactions on Audio, Speech & Language Processing 16(7): 1274-1286 (2008) |
| 108 | EE | Rie Johnson,
Tong Zhang:
Graph-Based Semi-Supervised Learning and Spectral Kernel Design.
IEEE Transactions on Information Theory 54(1): 275-288 (2008) |
| 107 | EE | David Cossock,
Tong Zhang:
Statistical Analysis of Bayes Optimal Subset Ranking.
IEEE Transactions on Information Theory 54(11): 5140-5154 (2008) |
| 106 | EE | James Glimm,
Xiaomei Ji,
Jiequan Li,
Xiaolin Li,
Peng Zhang,
Tong Zhang,
Yuxi Zheng:
Transonic Shock Formation in a Rarefaction Riemann Problem for the 2D Compressible Euler Equations.
SIAM Journal of Applied Mathematics 69(3): 720-742 (2008) |
| 2007 |
|---|
| 105 | EE | Tong Zhang,
Yunsheng Liu,
Yabing Zha:
Semantic Web Based Simulation Service Customization and Composition.
CIT 2007: 235-240 |
| 104 | EE | Maria-Florina Balcan,
Andrei Z. Broder,
Tong Zhang:
Margin Based Active Learning.
COLT 2007: 35-50 |
| 103 | EE | Shu Li,
Tong Zhang:
Hybrid resistor/FET-logic demultiplexer architecture design for hybrid CMOS/nanodevice circuits.
ICCD 2007: 574-579 |
| 102 | EE | Yijuan Lu,
Tong Zhang,
Qi Tian:
i.Boosting for Image Classification.
ICME 2007: 1711-1714 |
| 101 | EE | Liexian Gu,
Tong Zhang,
Xiaoqing Ding:
Clustering Consumer Photos Based on Face Recognition.
ICME 2007: 1998-2001 |
| 100 | EE | Tong Zhang,
Ramin Samadani:
Automatic Generation of Music Thumbnails.
ICME 2007: 228-231 |
| 99 | EE | Rie Kubota Ando,
Tong Zhang:
Two-view feature generation model for semi-supervised learning.
ICML 2007: 25-32 |
| 98 | EE | Sizhong Chen,
Tong Zhang:
Low power soft-output signal detector design for wireless MIMO communication systems.
ISLPED 2007: 232-237 |
| 97 | EE | Yang Liu,
Tong Zhang:
On the selection of arithmetic unit structure in voltage overscaled soft digital signal processing.
ISLPED 2007: 250-255 |
| 96 | EE | Yang Liu,
Tong Zhang,
Jiang Hu:
Soft Clock Skew Scheduling for Variation-Tolerant Signal Processing Circuits: A Case Study of Viterbi Decoders.
ISQED 2007: 749-754 |
| 95 | EE | Zhaohui Zheng,
Hongyuan Zha,
Tong Zhang,
Olivier Chapelle,
Keke Chen,
Gordon Sun:
A General Boosting Method and its Application to Learning Ranking Functions for Web Search.
NIPS 2007 |
| 94 | EE | John Langford,
Tong Zhang:
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information.
NIPS 2007 |
| 93 | EE | Andrei Z. Broder,
Marcus Fontoura,
Evgeniy Gabrilovich,
Amruta Joshi,
Vanja Josifovski,
Tong Zhang:
Robust classification of rare queries using web knowledge.
SIGIR 2007: 231-238 |
| 92 | EE | Sizhong Chen,
Tong Zhang,
Yan Xin:
Relaxed K-Best MIMO Signal Detector Design and VLSI Implementation.
IEEE Trans. VLSI Syst. 15(3): 328-337 (2007) |
| 91 | EE | Wancheng Sheng,
Meina Sun,
Tong Zhang:
The Generalized Riemann Problem for a Scalar Nonconvex Chapman--Jouguet Combustion Model.
SIAM Journal of Applied Mathematics 68(2): 544-561 (2007) |
| 90 | EE | Christoph Tillmann,
Tong Zhang:
A block bigram prediction model for statistical machine translation.
TSLP 4(3): (2007) |
| 2006 |
|---|
| 89 | EE | Christoph Tillmann,
Tong Zhang:
A Discriminative Global Training Algorithm for Statistical MT.
ACL 2006 |
| 88 | EE | Parag Mulendra Joshi,
Clayton Brian Atkins,
Tong Zhang:
From video to photo albums: digital publishing workflow for automatic album creation.
ACM Symposium on Document Engineering 2006: 179-181 |
| 87 | EE | Chuanfu Zhang,
Yunsheng Liu,
Tong Zhang,
Yabing Zha,
Wei Zhang:
Comments on Order-Based Deadlock Prevention Protocol with Parallel Requests in "A Deadlock and Livelock Free Protocol for Decentralized Internet Resource Co-allocation".
APWeb Workshops 2006: 698-701 |
| 86 | EE | David Cossock,
Tong Zhang:
Subset Ranking Using Regression.
COLT 2006: 605-619 |
| 85 | EE | Tong Zhang,
Jue Wang,
Liang Xu,
Ping Liu:
Using Wearable Sensor and NMF Algorithm to Realize Ambulatory Fall Detection.
ICNC (2) 2006: 488-491 |
| 84 | EE | Hao Zhong,
Tong Zhang,
Erich F. Haratsch:
High-rate quasi-cyclic LDPC codes for magnetic recording channel with low error floor.
ISCAS 2006 |
| 83 | EE | Fei Sun,
Tong Zhang:
Low power state-parallel relaxed adaptive Viterbi decoder design and implementation.
ISCAS 2006 |
| 82 | EE | Fei Sun,
Siddharth Devarajan,
Kenneth Rose,
Tong Zhang:
Multilevel flash memory on-chip error correction based on trellis coded modulation.
ISCAS 2006 |
| 81 | EE | Sizhong Chen,
Tong Zhang,
M. Goel:
Relaxed tree search MIMO signal detection algorithm design and VLSI implementation.
ISCAS 2006 |
| 80 | EE | Kuan Zhou,
Yifei Luo,
Sizhong Chen,
A. Drake,
John F. McDonald,
Tong Zhang:
Triple-rail MOS current mode logic for high-speed self-timed pipeline applications.
ISCAS 2006 |
| 79 | EE | Tong Zhang,
Alexandrin Popescul,
Byron Dom:
Linear prediction models with graph regularization for web-page categorization.
KDD 2006: 821-826 |
| 78 | EE | Rie Kubota Ando,
Tong Zhang:
Learning on Graph with Laplacian Regularization.
NIPS 2006: 25-32 |
| 77 | EE | Qingfeng Guan,
Tong Zhang,
Keith C. Clarke:
GeoComputation in the Grid Computing Age.
W2GIS 2006: 237-246 |
| 76 | EE | Tong Zhang:
Information-theoretic upper and lower bounds for statistical estimation.
IEEE Transactions on Information Theory 52(4): 1307-1321 (2006) |
| 75 | EE | Tong Zhang,
Mark Hasegawa-Johnson,
Stephen E. Levinson:
Extraction of pragmatic and semantic salience from spontaneous spoken English.
Speech Communication 48(3-4): 437-462 (2006) |
| 74 | EE | Tong Zhang,
Mark Hasegawa-Johnson,
Stephen E. Levinson:
Cognitive state classification in a spoken tutorial dialogue system.
Speech Communication 48(6): 616-632 (2006) |
| 2005 |
|---|
| 73 | EE | Rie Ando,
Tong Zhang:
A High-Performance Semi-Supervised Learning Method for Text Chunking.
ACL 2005 |
| 72 | EE | Christoph Tillmann,
Tong Zhang:
A Localized Prediction Model for Statistical Machine Translation.
ACL 2005 |
| 71 | EE | Tong Zhang:
Data Dependent Concentration Bounds for Sequential Prediction Algorithms.
COLT 2005: 173-187 |
| 70 | EE | Tong Zhang:
Localized Upper and Lower Bounds for Some Estimation Problems.
COLT 2005: 516-530 |
| 69 | EE | Zhihong Zeng,
Jilin Tu,
Brian Pianfetti,
Ming Liu,
Tong Zhang,
ZhenQiu Zhang,
Thomas S. Huang,
Stephen E. Levinson:
Audio-Visual Affect Recognition through Multi-Stream Fused HMM for HCI.
CVPR (2) 2005: 967-972 |
| 68 | EE | Tong Zhang,
Yan Xin,
Sizhong Chen:
Parallelism/regularity-driven MIMO detection algorithm design.
ISCAS (5) 2005: 4959-4962 |
| 67 | EE | Lijuan Zhu,
Gilbert Chen,
Boleslaw K. Szymanski,
Carl Tropper,
Tong Zhang:
Parallel Logic Simulation of Million-Gate VLSI Circuits.
MASCOTS 2005: 521-524 |
| 66 | EE | Tong Zhang,
Rie Ando:
Analysis of Spectral Kernel Design based Semi-supervised Learning.
NIPS 2005 |
| 65 | EE | Chuanfu Zhang,
Yunsheng Liu,
Tong Zhang,
Yabing Zha,
Kedi Huang:
A Deadlock Prevention Approach based on Atomic Transaction for Resource Co-allocation.
SKG 2005: 37 |
| 64 | EE | Fei Sun,
Tong Zhang:
Parallel high-throughput limited search trellis decoder VLSI design.
IEEE Trans. VLSI Syst. 13(9): 1013-1022 (2005) |
| 63 | EE | Rie Kubota Ando,
Tong Zhang:
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data.
Journal of Machine Learning Research 6: 1817-1853 (2005) |
| 62 | EE | Tong Zhang:
Learning Bounds for Kernel Regression Using Effective Data Dimensionality.
Neural Computation 17(9): 2077-2098 (2005) |
| 61 | EE | Mark Hasegawa-Johnson,
Ken Chen,
Jennifer Cole,
Sarah Borys,
Sung-Suk Kim,
Aaron Cohen,
Tong Zhang,
Jeung-Yoon Choi,
Heejin Kim,
Taejin Yoon:
Simultaneous recognition of words and prosody in the Boston University Radio Speech Corpus.
Speech Communication 46(3-4): 418-439 (2005) |
| 2004 |
|---|
| 60 | EE | Tong Zhang:
On the Convergence of MDL Density Estimation.
COLT 2004: 315-330 |
| 59 | EE | Zhihong Zeng,
Jilin Tu,
Ming Liu,
Tong Zhang,
Nicholas Rizzolo,
ZhenQiu Zhang,
Thomas S. Huang,
Dan Roth,
Stephen E. Levinson:
Bimodal HCI-related affect recognition.
ICMI 2004: 137-143 |
| 58 | EE | Tong Zhang:
Solving large scale linear prediction problems using stochastic gradient descent algorithms.
ICML 2004 |
| 57 | EE | Tong Zhang,
George Nagy:
Surface Tortuosity and its Application to Analyzing Cracks in Concrete.
ICPR (2) 2004: 851-854 |
| 56 | EE | Honglei Guo,
Jianmin Jiang,
Gang Hu,
Tong Zhang:
Chinese Named Entity Recognition Based on Multilevel Linguistic Features.
IJCNLP 2004: 90-99 |
| 55 | | Hao Zhong,
Tong Zhang:
Joint code-encoder-decoder design for LDPC coding system VLSI implementation.
ISCAS (2) 2004: 389-392 |
| 54 | | Tong Zhang:
A high throughput limited search trellis decoder for convolutional code decoding.
ISCAS (4) 2004: 177-180 |
| 53 | EE | Jinbo Bi,
Tong Zhang,
Kristin P. Bennett:
Column-generation boosting methods for mixture of kernels.
KDD 2004: 521-526 |
| 52 | EE | Tong Zhang:
Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category Classification.
NIPS 2004 |
| 51 | EE | Jinbo Bi,
Tong Zhang:
Support Vector Classification with Input Data Uncertainty.
NIPS 2004 |
| 50 | EE | Li Zhang,
Yue Pan,
Tong Zhang:
Focused named entity recognition using machine learning.
SIGIR 2004: 281-288 |
| 49 | EE | Bo Yang,
Tong Zhang,
Changxing Pei:
The effect of side-information on smooth entropy.
Discrete Applied Mathematics 136(1): 151-157 (2004) |
| 48 | EE | Fred Damerau,
Tong Zhang,
Sholom M. Weiss,
Nitin Indurkhya:
Text categorization for a comprehensive time-dependent benchmark.
Inf. Process. Manage. 40(2): 209-221 (2004) |
| 47 | EE | Ying Li,
John R. Smith,
Tong Zhang,
Shih-Fu Chang:
Multimedia database management systems.
J. Visual Communication and Image Representation 15(3): 261-264 (2004) |
| 46 | EE | Tong Zhang:
Statistical Analysis of Some Multi-Category Large Margin Classification Methods.
Journal of Machine Learning Research 5: 1225-1251 (2004) |
| 2003 |
|---|
| 45 | EE | Chuanfu Zhang,
Yunsheng Liu,
Tong Zhang,
Yabing Zha:
Integration of the Distributed Simulation into the OGSA Model.
GCC (1) 2003: 200-204 |
| 44 | EE | Tong Zhang,
Chuanfu Zhang,
Yunsheng Liu,
Yabing Zha:
A Design of Distributed Simulation Based on GT3 Core.
GCC (2) 2003: 590-596 |
| 43 | | Tong Zhang,
Bin Yu:
On the Convergence of Boosting Procedures.
ICML 2003: 904-911 |
| 42 | EE | Tong Zhang:
An Infinity-sample Theory for Multi-category Large Margin Classification.
NIPS 2003 |
| 41 | EE | Tong Zhang:
Learning Bounds for a Generalized Family of Bayesian Posterior Distributions.
NIPS 2003 |
| 40 | | Tong Zhang:
Sequential greedy approximation for certain convex optimization problems.
IEEE Transactions on Information Theory 49(3): 682-691 (2003) |
| 39 | EE | Shie Mannor,
Ron Meir,
Tong Zhang:
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity.
Journal of Machine Learning Research 4: 713-741 (2003) |
| 38 | EE | Ron Meir,
Tong Zhang:
Generalization Error Bounds for Bayesian Mixture Algorithms.
Journal of Machine Learning Research 4: 839-860 (2003) |
| 37 | EE | Tong Zhang:
Leave-One-Out Bounds for Kernel Methods.
Neural Computation 15(6): 1397-1437 (2003) |
| 2002 |
|---|
| 36 | EE | Tong Zhang,
Keshab K. Parhi:
On the high-speed VLSI implementation of errors-and-erasures correcting reed-solomon decoders.
ACM Great Lakes Symposium on VLSI 2002: 89-93 |
| 35 | EE | Shie Mannor,
Ron Meir,
Tong Zhang:
The Consistency of Greedy Algorithms for Classification.
COLT 2002: 319-333 |
| 34 | | Tong Zhang:
Statistical Behavior and Consistency of Support Vector Machines, Boosting, and Beyond.
ICML 2002: 690-700 |
| 33 | EE | Ron Meir,
Tong Zhang:
Data-Dependent Bounds for Bayesian Mixture Methods.
NIPS 2002: 319-326 |
| 32 | EE | Tong Zhang:
Effective Dimension and Generalization of Kernel Learning.
NIPS 2002: 454-461 |
| 31 | EE | Fred Damerau,
Tong Zhang,
Sholom M. Weiss,
Nitin Indurkhya:
Experiments in high-dimensional text categorization.
SIGIR 2002: 357-358 |
| 30 | EE | David E. Johnson,
Frank J. Oles,
Tong Zhang,
Thilo Götz:
A decision-tree-based symbolic rule induction system for text categorization.
IBM Systems Journal 41(3): 428-437 (2002) |
| 29 | | Tong Zhang,
Carlo Tomasi:
On the Consistency of Instantaneous Rigid Motion Estimation.
International Journal of Computer Vision 46(1): 51-79 (2002) |
| 28 | EE | Tong Zhang,
Vijay S. Iyengar:
Recommender Systems Using Linear Classifier.
Journal of Machine Learning Research 2: 313-334 (2002) |
| 27 | EE | Tong Zhang:
Covering Number Bounds of Certain Regularized Linear Function Classes.
Journal of Machine Learning Research 2: 527-550 (2002) |
| 26 | EE | Tong Zhang,
Fred Damerau,
David Johnson:
Text Chunking based on a Generalization of Winnow.
Journal of Machine Learning Research 2: 615-637 (2002) |
| 25 | | Tong Zhang:
On the Dual Formulation of Regularized Linear Systems with Convex Risks.
Machine Learning 46(1-3): 91-129 (2002) |
| 24 | EE | Tong Zhang:
Approximation Bounds for Some Sparse Kernel Regression Algorithms.
Neural Computation 14(12): 3013-3042 (2002) |
| 2001 |
|---|
| 23 | EE | Tong Zhang,
Fred Damerau,
David Johnson:
Text Chunking using Regularized Winnow.
ACL 2001: 539-546 |
| 22 | EE | Tong Zhang:
A Leave-One-out Cross Validation Bound for Kernel Methods with Applications in Learning.
COLT/EuroCOLT 2001: 427-443 |
| 21 | EE | Tong Zhang:
A Sequential Approximation Bound for Some Sample-Dependent Convex Optimization Problems with Applications in Learning.
COLT/EuroCOLT 2001: 65-81 |
| 20 | | Tong Zhang:
Some Sparse Approximation Bounds for Regression Problems.
ICML 2001: 624-631 |
| 19 | EE | Tong Zhang,
Zhongfeng Wang,
Keshab K. Parhi:
On finite precision implementation of low density parity check codes decoder.
ISCAS (4) 2001: 202-205 |
| 18 | EE | George Nagy,
Tong Zhang,
W. R. Franklin,
Eric Landis,
Edwin Nagy,
Denis T. Keane:
Volume and Surface Area Distributions of Cracks in Concrete.
IWVF 2001: 759-768 |
| 17 | EE | Vijay S. Iyengar,
Tong Zhang:
Empirical Study of Recommender Systems Using Linear Classifiers.
PAKDD 2001: 16-27 |
| 16 | | Tong Zhang:
An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods.
AI Magazine 22(2): 103-104 (2001) |
| 15 | EE | Tong Zhang,
Keshab K. Parhi:
Systematic Design of Original and Modified Mastrovito Multipliers for General Irreducible Polynomials.
IEEE Trans. Computers 50(7): 734-749 (2001) |
| 14 | | Tong Zhang,
Frank J. Oles:
Text Categorization Based on Regularized Linear Classification Methods.
Inf. Retr. 4(1): 5-31 (2001) |
| 2000 |
|---|
| 13 | EE | Vijay S. Iyengar,
Chidanand Apté,
Tong Zhang:
Active learning using adaptive resampling.
KDD 2000: 91-98 |
| 12 | | Tong Zhang:
Convergence of Large Margin Separable Linear Classification.
NIPS 2000: 357-363 |
| 11 | | Tong Zhang:
Regularized Winnow Methods.
NIPS 2000: 703-709 |
| 10 | EE | Yang Li,
Tong Zhang,
Stephen E. Levinson:
Word Concept Model for Intelligent Dialogue Agents.
TSD 2000: 445-449 |
| 1999 |
|---|
| 9 | EE | Tong Zhang,
C. C. Jay Kuo:
Heuristic approach for generic audio data segmentation and annotation.
ACM Multimedia (1) 1999: 67-76 |
| 8 | EE | Tong Zhang:
Theoretical Analysis of a Class of Randomized Regularization Methods.
COLT 1999: 156-163 |
| 7 | EE | Tong Zhang,
Carlo Tomasi:
Fast, Robust, and Consistent Camera Motion Estimation.
CVPR 1999: 1164-1170 |
| 6 | EE | Tong Zhang:
Some Theoretical Results Concerning the Convergence of Compositions of Regularized Linear Functions.
NIPS 1999: 370-378 |
| 1998 |
|---|
| 5 | EE | Tong Zhang:
Compression by Model Combination.
Data Compression Conference 1998: 319-328 |
| 4 | | Daniel H. Greene,
F. Frances Yao,
Tong Zhang:
A Linear Algorithm for Optimal Context Clustering with Application to Bi-level Image Coding.
ICIP (1) 1998: 508-511 |
| 1996 |
|---|
| 3 | | Gabriel Taubin,
Tong Zhang,
Gene H. Golub:
Optimal Surface Smoothing as Filter Design.
ECCV (1) 1996: 283-292 |
| 2 | | A. Jefferson Offutt,
Jie Pan,
Kanupriya Tewary,
Tong Zhang:
An Experimental Evaluation of Data Flow and Mutation Testing.
Softw., Pract. Exper. 26(2): 165-176 (1996) |
| 1991 |
|---|
| 1 | EE | Shuli Yang,
Tong Zhang:
The MmB difference solutions of 2-D Riemann problems for a 2*2 hyperbolic system of conservation laws.
IMPACT Comput. Sci. Eng. 3(2): 146-180 (1991) |
