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- Ignacio E. Grossmann

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
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Citations
Publications
World Ranking
National Ranking

Engineering and Technology
D-index
131
Citations
59,582
693
World Ranking
5
National Ranking
4

2000 - Member of the National Academy of Engineering For leadership in mixed integer nonlinear programming (MINLP) model formulation and solution for process design and operation.

- Mathematical optimization
- Artificial intelligence
- Mechanical engineering

Ignacio E. Grossmann mainly investigates Mathematical optimization, Nonlinear programming, Integer programming, Nonlinear system and Scheduling. His Mathematical optimization study incorporates themes from Algorithm and Work in process. The study incorporates disciplines such as Representation, Heat exchanger, Relaxation, Process engineering and Process in addition to Nonlinear programming.

As part of the same scientific family, Ignacio E. Grossmann usually focuses on Integer programming, concentrating on Linear programming and intersecting with Selection. His study looks at the relationship between Nonlinear system and topics such as Integer, which overlap with Algebraic number. His Scheduling research includes themes of Job scheduler, Net present value and Time horizon.

- An outer-approximation algorithm for a class of mixed-integer nonlinear programs (1034 citations)
- Systematic Methods of Chemical Process Design (755 citations)
- Simultaneous optimization models for heat integration—II. Heat exchanger network synthesis (727 citations)

Ignacio E. Grossmann focuses on Mathematical optimization, Nonlinear programming, Scheduling, Linear programming and Integer programming. His research in Mathematical optimization intersects with topics in Algorithm, Decomposition and Nonlinear system. Nonlinear programming is closely attributed to Branch and bound in his research.

His Scheduling research is multidisciplinary, incorporating perspectives in Electricity and Job shop scheduling.

- Mathematical optimization (59.82%)
- Nonlinear programming (17.59%)
- Scheduling (15.02%)

- Mathematical optimization (59.82%)
- Linear programming (13.48%)
- Scheduling (15.02%)

His primary areas of study are Mathematical optimization, Linear programming, Scheduling, Process engineering and Nonlinear programming. In Mathematical optimization, Ignacio E. Grossmann works on issues like Nonlinear system, which are connected to Integer and Global optimization. His Linear programming study also includes

- Electric power that connect with fields like Integer programming,
- Supply chain together with Operations research and Reinforcement learning.

His research on Scheduling also deals with topics like

- Development most often made with reference to Shale gas,
- Industrial engineering and Stochastic programming most often made with reference to Electricity. His studies deal with areas such as Distillation, Heat exchanger, Work and Biomass as well as Process engineering. His Nonlinear programming study combines topics from a wide range of disciplines, such as Upper and lower bounds, Process and Applied mathematics.

- A review and comparison of solvers for convex MINLP (68 citations)
- Expanding scope and computational challenges in process scheduling (42 citations)
- Deterministic electric power infrastructure planning: Mixed-integer programming model and nested decomposition algorithm (32 citations)

- Mathematical optimization
- Artificial intelligence
- Programming language

His scientific interests lie mostly in Mathematical optimization, Linear programming, Nonlinear programming, Work in process and Nonlinear system. His research in Mathematical optimization is mostly concerned with Solver. Ignacio E. Grossmann combines subjects such as Scheduling, Scheduling system, Customer service and Electric power with his study of Linear programming.

The concepts of his Nonlinear programming study are interwoven with issues in Finite set, Numerical analysis, Applied mathematics and Sequential quadratic programming. His Work in process study integrates concerns from other disciplines, such as Process, Process synthesis and Process management. His Nonlinear system study combines topics in areas such as Quadratic equation, Quadratic programming, Quadratically constrained quadratic program, Quadratic growth and Selection.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Systematic methods for chemical process design

L.T. Biegler;I.E. Grossmann;A.W. Westerberg.

**(1997)**

1823 Citations

An outer-approximation algorithm for a class of mixed-integer nonlinear programs

Marco A. Duran;Ignacio E. Grossmann.

Mathematical Programming **(1986)**

1654 Citations

Systematic Methods of Chemical Process Design

Lorenz T. Biegler;Ignacio E. Grossmann;Arthur W. Westerberg.

**(1997)**

1163 Citations

Simultaneous optimization models for heat integration—II. Heat exchanger network synthesis

Terrence Fu Yee;Ignacio E. Grossmann.

Computers & Chemical Engineering **(1990)**

1105 Citations

An algorithmic framework for convex mixed integer nonlinear programs

Pierre Bonami;Lorenz T. Biegler;Andrew R. Conn;GéRard CornuéJols.

Discrete Optimization **(2008)**

904 Citations

State-of-the-art review of optimization methods for short-term scheduling of batch processes

Carlos Alberto Mendez;Jaime Cerda;Ignacio E. Grossmann;Iiro Harjunkoski.

Computers & Chemical Engineering **(2006)**

892 Citations

A combined penalty function and outer-approximation method for MINLP optimization

J. Viswanathan;I.E. Grossmann.

Computers & Chemical Engineering **(1990)**

809 Citations

A structural optimization approach in process synthesis. II: Heat recovery networks

Soterios A. Papoulias;Ignacio E. Grossmann.

Computers & Chemical Engineering **(1983)**

775 Citations

Computers and Chemical Engineering

Mariano Martín;Ignacio E. Grossmann;Zdravko Kravanja.

**(2014)**

771 Citations

Retrospective on optimization

Lorenz T. Biegler;Ignacio E. Grossmann.

Computers & Chemical Engineering **(2004)**

711 Citations

University of Salamanca

University of Alicante

Linde (United States)

Carnegie Mellon University

University of Lisbon

University of Maribor

Aalto University

Cornell University

Georgia Institute of Technology

Carnegie Mellon University

Profile was last updated on December 6th, 2021.

Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).

The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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