Fast Local and Global Projection-Based Methods for Affine Motion Estimation
Journal of Mathematical Imaging and Vision
Monte Carlo Techniques for Estimating the Fiedler Vector in Graph Applications
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
Qualitative simulation of temporal concurrent processes using Time Interval Petri Nets
Artificial Intelligence
Segmentation of Vector Field Using Green Function and Normalized Cut
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Segmentation of Discrete Vector Fields
IEEE Transactions on Visualization and Computer Graphics
Conservative load transfer along curved fluid-solid interface with non-matching meshes
Journal of Computational Physics
The cost of being object-oriented: A preliminary study
Scientific Programming
Monte Carlo Minimization and Counting: One, Two, ..., Too Many
Computing in Science and Engineering
Pessimism reduction in coupling-aware static timing analysis using timing and logic filtering
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
Optimizing cubature for efficient integration of subspace deformations
ACM SIGGRAPH Asia 2008 papers
Computer simulation of topical knee cooling
Computers in Biology and Medicine
Computational complexity and parallelization of the meshless local Petrov-Galerkin method
Computers and Structures
CAD and Graphics: Molecular field feature extraction and analysis with level set method
Computers and Graphics
A freehand sketching interface for progressive construction of 3D objects
Computers and Graphics
Low-cost characterization and calibration of RF integrated circuits through I-Q data analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Hop-count based node-to-anchor distance estimation in wireless sensor networks
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
General explicit difference formulas for numerical differentiation
Journal of Computational and Applied Mathematics
Monte Carlo linear solvers with non-diagonal splitting
Mathematics and Computers in Simulation
Improved Monte Carlo linear solvers through non-diagonal splitting
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartIII
Biologically inspired means for rank-order encoding images: a quantitative analysis
IEEE Transactions on Neural Networks
Fed-batch cultivation control based on genetic algorithm PID controller tuning
NMA'10 Proceedings of the 7th international conference on Numerical methods and applications
A condensation-based application of Cramer's rule for solving large-scale linear systems
Journal of Discrete Algorithms
2d polynomial interpolation: a symbolic approach with mathematica
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part III
Python for scientific computing education: Modeling of queueing systems
Scientific Programming
Theoretical aspects of mapping to multidimensional optimal regions as a multi-classifier
Intelligent Data Analysis
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From the Publisher:"This book presents a broad overview of numerical methods for solving all the major problems in scientific computing, including linear and nonlinear equations, least squares, eigenvalues, optimization, interpolation, integration, ordinary and partial differential equations, fast Fourier transforms, and random number generators. The treatment is comprehensive yet concise, software-oriented yet compatible with a variety of software packages and programming languages. The book features more than 160 examples, 500 review questions, 240 exercises, and 200 computer problems." "Changes for the second edition include: expanded motivational discussions and examples; formal statements of all major algorithms; expanded discussions of existence, uniqueness, and conditioning for each type of problem so that students can recognize "good" and "bad" problem formulations and understand the corresponding quality of results producted; and expanded coverage of several topics, particularly eigenvalues and constrained optimization." The book contains a wealth of material and can be used in a variety of one- or two-term courses in computer science, mathematics, or engineering. Its comprehensiveness and modern perspective, as well as the software pointers provided, also make it a highly useful reference for practicing professionals who need to solve computational problems.