The Speakers Jawad Elomari he is a lead researcher at ORTEC B.V. on mixed integer nonlinear optimization. He has worked in various industries like supply chain, pharmaceuticals, and engineering design. His research inter

Source URL: or2015.univie.ac.at

• Operations research
• Numerical analysis
• Mathematical optimization
• Mathematical analysis
• Mathematics
• Linear programming
• Multi-objective optimization
• Computer algebra systems
• Numerical software
• General Algebraic Modeling System
• Artelys Knitro

A Rigorous Generic Branch and Bound Solver for Nonlinear Problems Andrew P. Smith C´esar A. Mu˜noz and Anthony J. Narkawicz Mantas Markevicius National Institute of Aerospace NASA Langley Research Center

Source URL: shemesh.larc.nasa.gov

• Mathematics
• Equations
• Polynomials
• Numerical analysis
• Algebra
• Operations research
• Global optimization
• System of polynomial equations
• Mathematical optimization
• Linear programming
• Constraint satisfaction
• Interval arithmetic

Efficient Nonlinear Skin Simulation for Multi-Finger Tactile Rendering Alvaro G. Perez1 , Gabriel Cirio1 , Daniel Lobo1 , Francesco Chinello2,3 , Domenico Prattichizzo2,3 and Miguel A. Otaduy1 Abstract— Recent advance

Source URL: www.gmrv.es

• Mathematical optimization
• Quadratic programming
• Haptic technology
• Sequential quadratic programming
• Linear programming
• AMPL
• Linear complementarity problem
• Constrained optimization
• GAUSS
• Multibody system

CS261: A Second Course in Algorithms Lecture #10: The Minimax Theorem and Algorithms for Linear Programming∗ Tim Roughgarden† February 4, 2016

Source URL: theory.stanford.edu

• Operations research
• Linear programming
• Convex optimization
• Combinatorial optimization
• Mathematical optimization
• Simplex algorithm
• Ellipsoid method
• Simplex
• Candidate solution
• Nonlinear programming
• Minimax
• Optimization problem

APPLIED MATHEMATICAL PROGRAMMING USING ALGEBRAIC SYSTEMS by Bruce A. McCarl Professor of Agricultural Economics Texas A&M University

Source URL: agecon2.tamu.edu

• Mathematical optimization
• Operations research
• Linear programming
• Quadratic programming
• Duality
• Nonlinear programming
• Constraint
• Stochastic programming
• Integer programming
• Relaxation
• Constrained optimization
• Simplex algorithm

RICHARD BELLMAN ON THE BIRTH OF DYNAMIC PROGRAMMING STUART DREYFUS University of California, Berkeley, IEOR, Berkeley, California 94720, W

Source URL: bioinfo.ict.ac.cn

• Equations
• Mathematical optimization
• Operations research
• Formal sciences
• Dynamic programming
• Richard E. Bellman
• Bellman equation
• Mathematics
• Algorithm
• Functional equation
• Mathematical model
• Nonlinear system

Index affine-scaling method, 202–204, 206, 210 poor performance of, 203 steplength choice, 203 approximation problems, 218–227 1 -norm, 221–224

Source URL: www.siam.org

• Mathematical optimization
• Operations research
• Linear programming
• Convex optimization
• Interior point method
• Simplex algorithm
• Nonlinear programming
• Quadratic programming
• Duality
• Revised simplex method
• Ellipsoid method
• Linear complementarity problem

Mixed-Integer Nonlinear Programming Models for Optimal Design of Multi-product Batch Plant Fengqi You* and Ignacio E. Grossmann**, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 *e-m

Source URL: minlp.org

c 1999 Nonlinear Phenomena in Complex Systems ° On the Parametric Differentiability of the Optimal Solutions in Nonlinear Programming L.I. Minchenko, T.V. Satsura

Source URL: www.j-npcs.org

Nonlinear Programming Approach to Filter Tuning Dylan M. Asmar and Greg J. Eslinger May 15,

Source URL: ssl.mit.edu