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Linear complementarity, linear and nonlinear programming
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The article was published on 1988-01-01 and is currently open access. It has received 1012 citations till now. The article focuses on the topics: Mixed complementarity problem & Complementarity theory.read more
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Simulation Based Fault Detection and Design Modification for Highly Dynamic Robotic Systems
TL;DR: This dissertation presents tools for automating and or simplifying a roboticist’s typical workflow and investigates a statistical approach to simulation, where the indeterminacy of physical models or uncertainty in the structure of a mechanism or its environment is represented as a collection of particles in many parallel simulations.
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Quadratic Programming for TDMA Scheduling in Wireless Sensor Networks
TL;DR: A novel Multihop Aperiodic Scheduling (MAS) algorithm which guarantees energy-efficient data collection by Wireless Sensor Networks (WSNs) under delay constraints and reduces global power consumption for time-driven monitoring is presented.
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Estimating the Probability that a Function Observed with Noise Is Convex
Nanjing Jian,Shane G. Henderson +1 more
TL;DR: An asymptotically consistent Bayesian sequential sampling procedure is developed that estimates the posterior probability of a convex function that goes through the true function values at the design points being true.
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Simulating non‐holonomic constraints within the LCP‐based simulation framework
TL;DR: In this paper, the linear complementarity problem-based rigid-body simulation framework with nonholonomic constraints is extended with non-holonomic contact constraints, such as equality, inequality and contact constraints.
Smoothing Methods in Mathematical Programming
TL;DR: The proposed approach was as much as 63 times faster than Lemke's method and can also be used to solve nonlinear and mixed comple-mentarity problems (NCPs and MCPs) by converting them to classes of smooth iii parametric nonlinear equations.