People all over the world interested
in Modeling and Optimization
- Farid Alizadeh,
Rutgers University. Combinatorial
optimization, Numerical methods in optimization.
- Brien Alkire, UCLA
Electrical Engineering Department. Mathematical optimization, especially
semidefinite programming, Applications of optimization to filter design
and signal processing, Techniques of applied numerical linear algebra,
Parallel computing, Applied probability, Applications in
- Erling D. Andersen, MOSEK APS.
Linear and nonlinear programming, Interior point methods.
- Knud D. Andersen, Apt: 213, 530 West Arlington Place, Chicago. Presolving in linear
programming, Interior point methods.
- Kurt M. Anstreicher,
The University of Iowa, Iowa
City, IA 52242-1000. Interior point methods
for linear, nonlinear, and semidefinite programming, and in the
application of continuous nonlinear relaxations to obtain bounds on
integer nonlinear programming problems.
Arioli, Rutherford Appleton Laboratory, round-off error analysis,
parallel computing, sparse matrices, iterative and direct solvers for
linear systems of equations, iterative solvers for non linear equations.
- Hossein Arsham, University of Baltimore. Stochastic optimization.
Avriel, Technion - Israel Institute of Technology. Optimal stowage
of containers in container ships, Mathematical programming under
uncertainty , Asset Allocation, Risk Management, Decision Support Systems
Balas, Graduate School
of Industrial Administration,
Carnegie Mellon. Mathematical Programming, in particular integer
programming, discrete and combinatorial optimization, graphs, networks,
- Viorel Barbu ,
"Alexandru Ioan Cuza" University, Iassy - Romania. Differential
- James C. Bean, University of Michigan. Genetic Algorithms.
- John Beasley, Imperial College,
Combinatorial Optimization, Data Envelope Analysis.
- Aharon Ben-Tal,
Technion - Israel Institute of Technology
Haifa, Israel. Convex analysis,
nonsmooth optimization, Robust optimization, Algorithms for large-scale
nonlinear programming, Optimal engineering design, Medical Imaging
- Dimitri P. Bertsekas,
Massachusetts Institute of Technology. Linear and nonlinear programming,
Dynamic programming, Data communication networks, Parallel and distributed
computation, Neural networks, Neuro-dynamic programming.
- Dimitris Bertsimas, Sloan School of Management, MIT. Stochastic
systems, Mathematical optimization.
- Michael J. Best, University of Waterloo. Portfolio Optimization
and Finance, Nonconvex Quadratic Minimization.
- Lorenz T. Biegler,
Carnegie Mellon. Optimization methods for process design, analysis, and
- Louis J.
Application of algebraic techniques to combinatorial problems.
- Stephen C. Billups, University of Colorado
developing robust algorithms for solving complementarity problems, and
several related problems including variational inequalities, nonsmooth
systems of equations, and generalized equations.
- John R. Birge,
- Robert E. Bixby,
Rice University. Combinatorial
Optimization, Matroid Theory, Large-Scale Linear Programming.
- Robert G. Bland, Cornell University. Linear programming.
- H. Georg Bock,
Boundary value problem methods for parameter estimation and optimal
control, Interior point methods, Branch and cut algorithms. Algorithms and
software for large scale mixed integer programming in industrial
- Brian Borchers, New Mexico
Tech. Optimization and inverse problems. Interior point methods for linear
and semidefinite programming and applications of these techniques to
combinatorial optimization problems.
- Stephen P. Boyd, Stanford University. Convex optimization,
especially interior-point methods for engineering problems, Engineering
applications of convex optimization.
- Oleg P. Burdakov, Linköping University, Sweden. Constrained and
unconstrained optimization, Nonlinear equations.
- James V. Burke, University of Washington. Numerical Optimization.
- Richard Byrd,
University of Colorado, Boulder.
Algorithms for constrained and unconstrained nonlinear optimization,
nonlinear data fitting, global optimization in molecular chemistry,
parallel computing, numerical linear algebra. Trust region methods for
nonlinearly constrained optimization, Global optimization in molecular
chemistry, Limited memory methods for large-scale optimization, Analysis
of quasi-Newton methods.
- Paul Calamai, University of Waterloo. Facility Location and
Resource Allocation, Multidisciplinary Design Optimization and Decision
- Tom Cavalier,
Mathematical Programming and Applied Optimization, Facility Location,
Routing and Distribution Problems, Scheduling, Network Optimization.
Chaitin-Chatelin, CERFACS, 42, av. G. Coriolis, Toulouse, France.
Qualitative Computing, Linear algebra.
- Zhi-Long Chen, University of Pennsylvania. Combinatorial
Optimization (computational complexity analysis, dynamic programming,
integer programming, exact solution algorithms & heuristics),
Large-Scale Optimization (column generation, Benders decomposition,
Lagrangian relaxation), Optimization under Uncertainty (stochastic
programming with recourse).
- Paulina Chin,
University, Waterloo, Ontario.
Computational Techniques for Engineering Problems, Numerical Methods for
Linear Algebra, Numerical Methods for Optimization, Iterative Linear
Solvers, Interior-Point Algorithms.
- John W. Chinneck,Carleton University. Algorithms and software
to assist in the automated formulation and "debugging" of large
mathematical programs of all types (linear, nonlinear, integer, mixed,
multiple objective, etc.), Applied optimization, Practical methods for
global or near-global optimization of complex systems characterized by
ill-behaved nonlinear functions and numerous equality constraints, as is
common in engineering models.
- Vasek Chvátal, Rutgers,
The State University of NJ. Analysis of
algorithms, Combinatorial Optimization, Linear Programming.
- Thomas F.
Coleman, Cornell Theory Cente, Center for Applied Mathematics.
Numerical algorithms for continuous optimization problems. Large-scale
optimization. Image segmentation and computational finance.
- Michele Conforti,
of Padova. Integer
Programming, Combinatorial Optimization, Graph Theory, Design and Analysis
of Combinatorial Algorithms, Polyhedra and Inequalities.
- Constantin C. Corduneanu,
University of Texas at Arlington.
- Richard W. (Dick) Cottle, Stanford University. Complementarity theory,
Linear programming, Quadratic programming, Nonlinear programming,
Variational inequalities, Matrix theory.
- Collette R. Coullard,
Northwestern University. Mathematical Programming, Combinatorial
Optimization, Network Modeling and Optimization, Polyhedral Theory,
- Teodor Gabriel Crainic,
Université du Québec à Montréal. Searching Algorithms.
- Joseph (Joe) Culberson, University of Alberta. Genetic algorithms, and
- George B. Dantzig
- William C. Davidon,
Optimization, locating maxima and minima of differentiable functions,
Nonstandard Analysis, generalizing the intuitive notion of infinitesimals.
- Stephan Dempe,
Technische Universität Bergakademie Freiberg.
Theory and Algorithms for Nondifferentiable Optimization and Discrete
Programming Problems, Parametric Optimization, Bilevel and Multilevel
Programming, Applications of Mathematical Programming.
- John E. Dennis, Jr., Rice University. Nonlinear optimization.
- David S. Dilworth,
Systems Research, Ann Arbor,
Michigan. Electronic and
film holography, Coherent optics, Digital image processing, Advanced
computing systems for R & D, Market, corporate, and organizational
- Jack Dongarra,
- Sever S. Dragomir,
of Technology, Australia.
Theory of Mathematical Inequalities.
- Irinel Dragan,University of Texas
Mathematical Game Theory, linear and nonlinear programming.
- Iain Duff, Rutherford
Appleton Laboratory. Sparse matrices.
- Jonathan Eckstein, Rutgers University. Parallel algorithms for
numerical optimization, and monotone-operator based methods for
optimization and variational problems.
- Olivier Epelly,3340,
HEC-Geneva, Department of Management Studies, 40 Bld. du Pont d'Arve,
CH-1211 Geneva 4, Switzerland Phone number: +41 22 705 88 32, Fax number:
+41 22 781 41 00. Energy-Environmental-Economic Systems, Decision-making
- Yury G. Evtushenko,
Computing Centre of the Russian Academy of Sciences, Vavilov str., 40,
Moscow, 119991, GSP-1, Russia, Office Phone: (095)-135-24-89, E-mail:
email@example.com, Linear and Nonlinear Programming, Decision Spport Systems,
Optimal Control, Optimization Techniques, Numerical Methods and Software
for Solving Global Multycriterion Optimization Problems.
- Leonid Faybusovich, Univ of
Notre Dame, Notre Dame, IN. Dynamical systems, Control Theory,
- Rolf Felkel,
Technische Universität Darmstadt, Fachbereich Mathematik,
Schloßgartenstraße 7 , D-64289 Darmstadt Raum : 2d/351, Telefon :
06151/16-3284, E-Mail : firstname.lastname@example.org. Large-scale
quadratic optimization (QP) , Nonlinear optimization (NLP)
- Carlos Eduardo Ferreira, University of São Paulo. Combinatorial
- Michael C. Ferris,
of Wisconsin. Robust
methods for solving large-scale variational inequality and nonlinear
programming problems with applications to problems in economics and
engineering, Parallel architectures for solving problems in nonlinear
optimization, Graph partitioning techniques to determine underlying
structure is being investigated as a tool for general purpose parallel
- Matteo Fischetti,
Combinatorial Optimization, Vehicle Routing and Scheduling Problems,
Integer Programming, Graph Theory, Design and Analysis of Combinatorial
Algorithms, Polyhedral Combinatorics.
- Roger Fletcher ,
Optimization Methods, Theory and Applications, Numerical Linear Algebra .
- Christodoulos A.
Discrete-continuous nonlinear optimization, local and global optimization,
and computational chemistry and biology.
- Fedor Fomin, St. Petersburg State University, Russia. Graph theory: theory,
algorithmic and application issues.
- Anders Forsgren,
Royal Institute of Technology (KTH), Stockholm,
- Robert Fourer, Northwestern
University. Modeling languages, System for large-scale linear and
- Carla De Francesco,
Theoretical integer programming, Integrality of polyhedra, Interior point
methods for linear programming.
- Antonio Frangioni,
Università di Pisa. Multicommodity Flows, NonDifferentiable Optimization.
- Robert M. Freund,
Sloan School of Management, M.I.T. Mathematical Programming and Nonlinear
Optimization, Computational complexity of nonlinear optimization,
Interior-point methods in mathematical programming, Linear programming,
Fixed-point methods, Related mathematical systems, Applied Optimization in
Management and Engineering.
- Roland W. Freund, Bell Laboratories.
Scientific computing, numerical linear algebra, large-scale optimization,
and algorithms for circuit simulation.
- Saul I. Gass,
College of Business
and Management, University
of Maryland. Linear
programming, large-scale systems, model validation and evaluation, game
theory, multi-objective decision analysis, and the application of
operations research methodologies.
- David M. Gay,
Laboratories. AMPL modeling language or mathematical programming
(optimization), Nonlinear optimization.
Geoffrion, The Anderson
School, UCLA. Formal
modeling. Structured modeling.
- Alan George, Waterloo University, Ontario. Scientific computation
generally, mainly in numerical linear algebra.
- Laurent El Ghaoui ,
EECS Department, University of California at Berkeley . Decision-making under
uncertainty, convex optimization, semidefinite programming.
- Jean Charles Gilbert,ESTIME
Team, INRIA Rocquencourt, Domaine de Voluceau, BP 105, 78153 Le Chesnay
Cedex, France. Optimization (theory and algorithms), computational
differentiation, optimal control of PDEs, application of optimization.
- Philip E. Gill, University of California,
Linear programming, nonlinear programming, sparse matrix methods, interior
methods. Design and implementation of algorithms for unconstrained
optimization, constrained optimization and nonlinear least squares.
- Fred Glover, University of Colorado. Applications of computers
to the fields of optimization, decision support, industrial planning,
financial analysis, systems design, multicriteria analysis, applied
artificial intelligence, energy, natural resources planning, logistics,
transportation, large scale allocation models.
- Donald Goldfarb, Columbia University
in the City of New York.
Algorithms for linear, quadratic, and nonlinear programming, Network
flows, Large sparse systems, Telecommunications applications.
- Meredith Goldsmith, Terman Engineering Center,
Stanford. Optimization (linear/nonlinear/combinatorial), Mathematical
- Gene H.
Numerical analysis, Mathematical programming, and Statistical computing.
Algorithms for solving linear systems with special structure, computes
eigenvalues of sequences of matrices, and estimates functions of matrices.
- Jacek Gondzio, The University of Edinburgh,
Large scale optimization, Sparse matrix methods in optimization.
- Vipin Gopal, Principal Research Scientist
Center . Chemical
Engineering Design, Synthesis, Optimization and Control.
- Nick Gould,
Rutherford Appleton Laboratory. Large-scale nonlinear constrained
optimization, Sparse matrices.
- Harvey J. Greenberg, University of Colorado
Optimization, Modeling, Artificial intelligence.
Griewank, Humboldt-Universität zu Berlin, Germany,
Institut für Mathematik. Nonlinear Optimization Algorithmic/Automatic
- Ignacio Grossmann,
Center for Advanced Process Decision-Making, Department of Chemical
Development of discrete-continuous optimization models and methods for
problems in process systems engineering.
Guignard-Spielberg , The Wharton
of Pennsylvania, Philadelphia.
Theoretical as well as algorithmic, modeling and application aspects of
integer programmming/combinatorial optimization. Integration of tools from
Lagrangean relaxation and its extensions, and column/cut generation.
- Osman Güler, University of
Maryland Baltimore County.
Mathematical programming, operations research, convex analysis, and
- William W. Hager,
Numerical Analysis, Optimization, Optimal control.
- Peter Hammer
- Matthias Heinkenschloss,
Rice University. Optimization, Optimal Control,
Numerical Analysis, Partial Differential Equations.
- Richard V.
Helgason, Southern Methodist
Science and Engineering. Optimizations, Network Flow, Computational Geometry.
- Christoph Helmberg,
Konrad-Zuse-Zentrum für Informationstechnik Berlin. Semidefinite Programming and
its application to combinatorial optimization.
- Mika Hirvensalo, Turku Centre for
Computer Science. Quantum computation , Coding theory, Algebraic number
theory, Alternative quantum computation, ALTAVISTA , Building quantum
- Allen Holder, Interior point
methods, Linear optimization, Post optimal and sensitivity analysis, Goal
and multiple criteria optimization, Applications to radiation oncology.
Holmström, Mälardalen University, Västerås, Sweden.
Mathematical modeling and optimization, Algorithms and software for
chemical equilibrium analysis, Nonlinear parameter estimation, Nonlinear
least squares, Approximation problems, Optimization problems in control
theory, System identification, Practical Methods for Mixed Integer
Nonlinear Programming (MINLP).
- John Hooker, Carnegie Mellon
Inference and Optimization, Empirical Analysis.
Jarre , University
of Notre Dame.
Continuous Optimization and Applications, in particular Interior-Point
Methods, Numerical Linear Algebra.
- Christian Kanzow,
Optimization, complementarity and variational inequality problems.
- R. Baker Kearfott,
University of Louisiana at Lafayette, Louisiana.
Nonlinear equations and global optimization, Programming language
- Andy Keane, School of Engineering
Sciences at Southampton
Evolutionary Optimization, Structural Dynamics.
- C. T.
(Tim) Kelley, North
Carolina State University. Linear/nonlinear
equations, multilevel methods for integral equations , radiative transfer
problems, and optimal control , large scale optimization , optimization of
noisy functions , and flow in porous media .
- Jeffery L. Kennington,
Science and Engineering. Design and analysis of algorithms for network
- Masakazu Kojima,
Tokyo Institute of Technology. Semidefinite Programming, Interior-Point
Method, Linear Programming, Nonlinear Programming, Combinatorial
- Kartik Krishnan,
Rensselaer Polytechnic Institute. Mathematical Programming , especially
Semidefinite Programming , Combinatorial Optimisation, Interior Point
Methods and Graph Algorithms.
- Alexei V.
Kuntsevich , Karl-Franzens Universität Graz, Institut für
Mathematik. Practical tools for local and global (nonsmooth) optimization,
transportation problems on networks, multicommodity network traffic
problems, large-scale optimal planning problems, robust and adaptive
control under non-stochastic uncertainty, system modeling and
set-membership parameter identification under uncontrolled bounded
- Leon Lasdon,
The University of Texas at Austin,
Management Science, Optimization, Financial Optimization.
- Adam B. Levy ,
Brunswick, Maine. Applied Mathematics,
Optimization, Variational Analysis, Control Theory.
- Adrian Lewis, University of Waterloo. Convex and nonsmooth
optimization and analysis.
- Sven Leyffer,
of Dundee. Large
Scale Nonlinear Programming, Mixed Integer Nonlinear Programming, Test
Problems for Mixed Integer Nonlinear Programming , Branch--and--bound for
Mixed Integer Quadratic Programming.
- Thomas M. Liebling ,
EPFL-DMA, CH-1015 Lausanne (Switzerland), Combinatorial optimization,
Operations research, Simulation, Stock management.
- Chih-Jen Lin, National Taiwan University.
Large-scale Nonlinear Optimization, Numerical Optimization Software,
Internet-based Numerical Software, Support vector machines for pattern
- Per Lindström, Umeå University, Sweden. Numerical analysis,
Nonlinear least squares.
- Andreas M. Löbel,
Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB). Optimizing systems
in public mass transit, Linear and integer programming , Network and
multicommodity flows, Combinatorial optimization, Large-scale
- David Luenberger, Stanford University. Control Theory, General
Optimization, Mathematical Programming, Microeconomics, Investment
- Ladislav Luksan, Academy of Sciences
of the Czech
Optimization and Approximation. Nonsmooth Analysis. Numerical linear
algebra. Sparse iterative solvers.
- Irvin Lustig, ILOG
CPLEX Division. Linear programming, Interior point methods.
- Kaj Madesen, Technical University
Nonlinear optimization, interval analysis, parallel computing.
- Olvi L. Mangasarian,
- Marek Makowski, IIASA,
Schlossplatz 1, A-2361 Laxenburg,
Methodology of Decision Analysis.
Manteuffel, University of
Colorado at Boulder. Iterative methods for solving
large sparse linear systems, multigrid methods for solving partial
differential equations and numerical solution of mathematical models of
the transport of neutral and charged particles.
Martins, Universidade de Coimbra. Network Optimization.
- Bruce McCarl, Texas A&M University.
Climate Change Mitigation, Climate Change Effects, El Nino, Water,
- Thomas McCormick, The University of British Columbia. Applied
combinatorial optimization, analysis of algorithms, flows in networks,
- Kurt Mehlhorn,
Max-Planck-Institut für Informatik, Algorithms and Complexity Group (AG1),
Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany. Data structures, Graph
algorithms, Computational geometry, Algorithm Engineering, Software
libraries, LEDA, CGAL , LEDA-SM, Computational complexity .
- Juan Meza, Sandia
National Laboratories. Parallel Optimization, Object-oriented programming,
Optimization in Statistics, Molecular Conformation.
- John E. Mitchell,
Rensselaer Polytechnic Institute. Integer Programming, Nonlinear
Programming, Interior Point.
- Gautam Mitra,
Development of Large Scale Linear and Discrete Optimization Systems for
high performance computers.
- Hans D. Mittelmann, Arizona State University.
Scientific Computing with emphasis on partial differential equations,
optimization and parallel computing. Finite element methods, flow
problems, stability, capillarity phenomena, multisplitting methods,
Mizuno, Tokyo Institute of Technology. Linear programming,
Interior point methods.
- Renato D. C.
Monteiro, Georgia Institute of Technology. Mathematical
Programming Algorithms: Linear, Nonlinear Optimization, Interior Point
- Jorge Moré, Argonne
National Laboratory, Algorithms and software for large-scale optimization.
- Pablo Moscato,
Universidade Estadual de Campinas,
Optimization, Combinatorial Optimization, Approximation algorithms,
Heuristic and Metaheuristic approaches for large scale problems, Simulated
Annealing, Tabu Search, Genetic Algoritms and Memetic Algorithms.
Muramatsu, Department of Mechanical Engineering, Sophia University,
Chiyoda-ku, Tokyo 102-8554 Japan.
Interior point method for linear programming. Interior point method for
nonlinear programming and semidefinite programming, Simplex Method,
Network Simplex Method, Numerical analysis.
- Frederic Holmes Murphy,
Modeling, Decision support systems
- Walter Murray, Stanford University. The design and analysis
of algorithms for linear and nonlinear optimization and sparse linear
- Stephen Nash, George Mason
- John Lawrence
(Larry) Nazareth, Professor Emeritus, Washington State
University and Affiliate Professor, University of Washington . Nonlinear
- Ionel Michael Navon, Florida State University.
Finite Element Research, Variational 4-D Data-Assimilation Methods,
Large-Scale Minimization, Domain Decomposition Methods.
Nemirovski, Faculty of Industrial Engineering at Technion. Convex
Programming, with emphasis on investigating complexity and on design of
theoretically optimal algorithms.
L. Nemhauser, School
of Industrial and
Systems Engineering , Georgia Institute of Technology. Operations
Research, Combinatorial Optimization .
- Arnold Neumaier,
Universität Wien. Global Optimization, Numerical Analysis, Statistics,
- Jorge Nocedal,
Northwestern University. Unconstrained and bound constrained optimization.
- Dianne P. O'Leary, University of Maryland
at College Park.
Computational linear algebra, Optimization, Scientific computing, Parallel
- Dominique Orban, CERFACS,
Parallel Algorithms Project, Toulouse,
Optimization and systems of nonlinear equations.
- James B. Orlin, MIT Operations Research
Center. Network and
- Michael L. Overton,
New York University. Numerical algorithms,
their analysis, and related issues, primarily in the areas of optimization
and linear algebra. Analysis of eigenvalues, which arise in many different
areas of applied mathematics. Semidefinite programming.
- Jonathan H. Owen,
Northwestern University. General Mixed-Integer Linear Programming,
Graphical Implementation Development Environment for Networks.
- Todd Plantenga,
Sandia National Laboratories. Large-scale constrained optimization,
Optimal Control, Radiation Modeling, Computational Chemistry.
- Florian A. Potra,
University of of Maryland, Baltimore County. Numerical Optimization.
Numerical solution of nonlinear differential and integral equations.
Applied functional analysis. Numerical algorithms for parallel computers.
- Mike Powell,
of Cambridge. Numerical
- Abraham P Punnen,
of New Brunswick -
Saint John. Combinatorial Optimization, Integer Programming, Network
Flows, Routing and Scheduling, Approximation Algorithms, Tabu Search,
Genetic Algorithms, Implementation and Testing of Algorithms.
- John Reid,
Rutherford Appleton Laboratory, Oxfordshire,
matrix technology, Fortran 90.
Development of mathematical frameworks for studying optimization
algorithms that have roots in analysis.
- Mauricio G. C. Resende,
AT&T Labs Research. Combinatorial optimization, design and analysis of
computer algorithms, graph theory, interior point methods, mathematical
programming, meta-heuristics, network flows, network design, operations
research modeling, parallel computing in mathematical programming,
scientific computing, and software design and development.
Washington, Department of Applied
Development of optimization methodology for modeling large-scale
- Joseph V. Romanovsky,
Smirnov Research Institute. Mathematical programming, dynamic programming.
- Romesh Saigal,
Interior Point Methods for Linear and Convex Programming. Kalman Filtering
and Stochastic Programming. Continuous Optimization. Large Scale
Optimization and efficient implementations. Applications of Game Theory to
Accounting. Complementarity and Fixed Point Computing.
- Mehmet Polat Saka,
Matrix Analysis of Structures, Nonlinear Analysis of Structures, Plastic
Design of Structures, Advanced Steel Design, Advanced Mechanics of
Materials, Optimization Techniques, Structural Stability, Advanced
Numerical Methods in Engineering.
- Michael Saunders, Stanford University. Linear programming,
nonlinear programming, sparse matrix methods, iterative solvers. Design
and implementation of algorithms for constrained optimization and sparse
linear equations (including sparse least squares).
. Nonlinear programming.
- Tamar Schlick, New York University. Unconstrained
- Bobby Schnabel,
University of Colorado at Boulder. Numerical computation including
numerical solution of unconstrained and constrained optimization problems,
solution of systems of nonlinear equations, and nonlinear least squares;
Parallel and distributed computation including parallel numerical
languages and tools, and parallel algorithms; Applications of optimization
to molecular chemistry.
- Volker Schulz ,
Weierstrass Institute for Applied Analysis and Stochastics, Berlin.
Nonlinear Optimization and Inverse Problems.
- Yaroslav D. Sergeyev,
Global optimization, parallel computing, space filling curves, interval
analysis, data mining, software for high and secondary school.
- David Shanno, Rutgers University. Linear and nonlinear
programming. Interior point methods.
of Industrial and
Systems Engineering, Georgia Institute of Technology. Stochastic
programming, simulation based optimization, nondifferentiable optimization
and nonsmooth analysis, sensitivity analysis and optimization of queueing
networks, sensitvity analysis of nonlinear programs, multivariate
- William F. Sharpe,
Graduate School of Business, Stanford University.
Portfolio Theory and Capital Markets, Fundamentals of Investments. Nobelist
1990 - Economic Sciences.
- Ariela Sofer,
George Mason University.
Mmathematical programming, numerical optimization, Applications in medical
- Steve Smale, University of California,
Simplex method. Probabilistic analysis.
- Moshe Sniedovich,
Department of Mathematics and Statistics, The University
of Melbourne Parkville, VIC, Australia.
Sequential decision making in general and dynamic programming in
particular, Non linear optimization via composite linearization, Interactive
computing and modelling, Constraint programming.
Spellucci, Technical University Darmastadt,
Numerical approximation; numerical linear algebra; Numerical solution of
ordinary differential equations; Numerical (continuous) optimization.
- Georgios E. Stavroulakis,
Technical University of Crete, Department of Production Engineering and
Management, GR-73100 Chania, Greece. Modeling and Optimization, Mechanics.
- Jos F. Sturm, Maastricht University.
Interior point, Semidefinite Programming.
- Richard Tapia, Rice University. Numerical Analysis of
Computer Algorithms for Optimization Theory.
- Éva Tardos,
Cornell University. Design and analysis of
algorithms for fundamental problems in network, combinatorial
optimization, approximation algorithms, on-line algorithms, linear and
integer programming, and their applications to various problems.
- André L. Tits, University of Maryland,
Numerical optimization, optimization-based system design and robust
control with emphasis on numerical methods.
- Michael J. Todd,
Cornell University. Interior-point methods,
algorithms for linear and convex programming, particularly semidefinite
- Philippe Toint,
of Namur (FUNDP).
Smooth nonlinear optimization, with an emphasis on the algorithmic
viewpoint, ranging from convergence theory to numerical considerations and
- Michael Trick, Carnegie Mellon University.
Computational Combinatorial Optimization.
- Virginia Torczon, College of
William & Mary , Department of Computer Science , P.O. Box 8795,
Williamsburg, VA 23187-8795. Nonlinear programming, multidisciplinary
design optimization, parallel and distributed computing, and computational
- Leslie E.
Trotter, Jr., Cornell
and integer programming analysis.
- Paul Tseng,
of Washington. Continuous
optimization, with side interests in discrete optimization, parallel
optimization, network and graph algorithms.
- John N. Tsitsiklis,
Massachusetts Institute of Technology. Optimization, control, and system
identification, Parallel and distributed computation, Computational
complexity in systems and control, Neuro-Dynamic Programming.
- Levent Tunçel, University of Waterloo. Mathematical programming
and mathematics of operations research.
- Reha Tütüncü, Cornell University. Optimization focusing
on the development, analysis, and implementation of interior-point methods
for the solution of linear and semidefinite programming problems.
- Lieven Vandenberghe ,
UCLA Electrical Engineering Department. Convex optimization in
engineering, Interior-point algorithms, Semidefinite programming, linear
matrix inequalities in systems and control, Applications of optimization
in VLSI design.
- Robert Vanderbei, Princeton University,
Princeton, NJ 08544,
(609) 258-0876, E-mail: email@example.com. Linear programming, nonlinear
programming, interior point methods.
A. Vavasis, Cornell
Numerical optimization and complexity issues, Numerical methods for
boundary value problems, Geometric problems arising in scientific
computing, Sparse matrix computations.
- Ismael Vaz,
Departamento de Produção e Sistemas, Escola de Engenharia, Universidade do
Minho, Campus de Gualtar, 4710 Braga,
Nonlinear Programming; Semi-infinite Programming.
- Jean-Philippe Vial ,
Non-smooth optimization, Operations Research Models.
- Andreas Wächter,
Development of a (quasi-Newton) Interior-Point algorithm for large-scale
nonlinear nonconvex optimization. Applications in Chemical Engineering
include process optimization, dynamic optimization of
differential-algebraic systems, and parameter estimation.
Wechs, The analytical behavior of central paths in the context of
interior-point methods. Efficient solving methods for large scale linear
programming and complementarity problems.
- Paul Williams, University of Southampton, United Kingdom. Mathematical
Programming Modelling, Logical Linear Programming, Integer Programming.
- David P. Williamson, IBM
T.J. Watson Research Labs. Combinatorial optimization, Theoretical
computer science and mathematical programming.
Combinatorial Optimization, Linear Programming, Matrix Completion
Problems, Nonlinear Programming.
- Margaret H.
Laboratories. Nonlinear optimization.
- Steve Wright, Argonne National Laboratory. Interior-point methods.
- Yinyu Ye, The University of Iowa. Mathematical Programming,
Optimization Algorithm Design and Analysis, Computational Complexity,
Operations Research and Its Applications.
- Stavros A. Zenios, University of Cyprus. Financial Applications,
- Jun Zhang, Department
of Computer Science, University
Scientific and parallel computing; Numerical simulations of physical
processes; Computational Sciences; Applied Numerical Algorithms; Knowledge
discovery and data mining in scientific computing.
- Yin Zhang, Rice University. Interior-point methods:
Integrating theory and practice, Linear, Nonlinear and Semidefinite
programming, Optimization Problems in Computational Biology, Optimization
- Uwe T. Zimmermann, Technische
Universität Braunschweig. Train Schedule Optimization in Public Transportation,
Optimal Scheduling of Switching Engines at Industrial Freight Railroads
Optimization and Operations Research, Nonsmooth Optimization, Applications