WEBINAR / EVENT
Tech Talk & Chat– Converting Weak to Strong MIP Formulations, Part II
Watch Part 2 of this Tech Talk on converting weak to strong MIP formulations.
September 01 2022
WEBINAR / EVENT
Tech Talk & Chat– Converting Weak to Strong MIP Formulations, Part II
Watch Part 2 of this Tech Talk on converting weak to strong MIP formulations.
September 01 2022
WEBINAR / EVENT
Tech Talk & Chat– Converting Weak to Strong MIP Formulations, Part II
Watch Part 2 of this Tech Talk on converting weak to strong MIP formulations.
September 01 2022
Webinar Summary
In Part 2 of this Tech Talk, key members of the Gurobi team will continue the conversation on distinguishing weak formulations from strong ones, from the perspective of the models and associated physical systems rather than the underlying theory. After establishing the differences between weak and strong formulations, we will look at some fundamental techniques for strengthening MIP formulations and consider some practical examples.
Presented Materials
Download the materials here.
Webinar Summary
In Part 2 of this Tech Talk, key members of the Gurobi team will continue the conversation on distinguishing weak formulations from strong ones, from the perspective of the models and associated physical systems rather than the underlying theory. After establishing the differences between weak and strong formulations, we will look at some fundamental techniques for strengthening MIP formulations and consider some practical examples.
Presented Materials
Download the materials here.
Webinar Summary
In Part 2 of this Tech Talk, key members of the Gurobi team will continue the conversation on distinguishing weak formulations from strong ones, from the perspective of the models and associated physical systems rather than the underlying theory. After establishing the differences between weak and strong formulations, we will look at some fundamental techniques for strengthening MIP formulations and consider some practical examples.
Presented Materials
Download the materials here.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Ed Klotz
Senior Mathematical Optimization Specialist
Dr. Ed Klotz has over 30 years of experience in the mathematical optimization software industry. He is a technical expert who, over the course of his career, has worked with a wide array of customers to help them solve some of world’s most challenging mathematical optimization problems. In his role as a Senior Mathematical Optimization Specialist on the Gurobi R&D team, Dr. Klotz works closely with our customers to support them in implementing and utilizing mathematical optimization in their organizations. He also interacts heavily with the R&D team based on his experiences with the customers.
Prior to joining Gurobi, Dr. Klotz was a member of the CPLEX development team of IBM. He was involved in product development, customer training, product documentation, and numerous other tasks, with a primary focus on delivering CPLEX customer support and leveraging his experiences with customers to help inform the R&D team about customer needs and product improvements. Dr. Klotz has extensive knowledge in linear programming, integer programming, and numerical linear algebra for finite precision computing. Using this knowledge, he was able to investigate customer support issues at the source code level and identify potential improvements in CPLEX, both in terms of performance and accuracy of computation.
Before joining IBM, Dr. Klotz was a principal technical support engineer at ILOG, Inc., and a mathematical programming specialist at CPLEX Optimization, Inc.
Dr. Klotz has presented at numerous conferences, workshops, and web seminars and published numerous papers on mathematical optimization. His interests are in all aspects of mathematical programming, with a primary interest in research that can impact mathematical programming software. He obtained a BA in Math and Economics from Oberlin College and a PhD in Operations Research from Stanford University.
Richard Oberdieck
Lead Data Scientist
Richard Oberdieck obtained his BSc and MSc degrees from ETH Zurich in Switzerland (2009-2013), before pursuing a Ph.D. in Chemical Engineering at Imperial College London, UK, which he completed in 2017. In his PhD, he worked on a special class of optimization problems called multi-parametric programming problems, where he discovered fundamental new properties related to these problems, as well as implemented them in a software toolbox. After using his knowledge in mathematical modeling and optimization in the space of renewable energies at the world leader in offshore wind energy, Ørsted A/S, he is now helping companies around the world unlock business value through mathematical optimization as a Technical Account Manager for Gurobi Optimization, LLC.
He has published 1 book, 21 papers and 2 book chapters, has an h-index of 11 and was awarded the FICO Decisions Award 2019 in Optimization, Machine Learning and AI.
Steven Edwards
Product Manager
Dr. Steven Edwards completed his PhD at Monash University in the field of discrete optimization. His thesis was motivated by the scheduling of automated pathology testing systems used for the diagnosis of cancers and infectious diseases. As part of his research, he developed a modeling framework for efficiently solving large-scale optimization problems using constraint programming inspired by existing techniques in boolean satisfiability and mixed-integer programming. After completing his thesis, Steven worked briefly at the Australian Bureau of Statistics on optimization problems in data security before commencing as a Research Fellow in Operations Research at the University of Melbourne.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Ed Klotz
Senior Mathematical Optimization Specialist
Dr. Ed Klotz has over 30 years of experience in the mathematical optimization software industry. He is a technical expert who, over the course of his career, has worked with a wide array of customers to help them solve some of world’s most challenging mathematical optimization problems. In his role as a Senior Mathematical Optimization Specialist on the Gurobi R&D team, Dr. Klotz works closely with our customers to support them in implementing and utilizing mathematical optimization in their organizations. He also interacts heavily with the R&D team based on his experiences with the customers.
Prior to joining Gurobi, Dr. Klotz was a member of the CPLEX development team of IBM. He was involved in product development, customer training, product documentation, and numerous other tasks, with a primary focus on delivering CPLEX customer support and leveraging his experiences with customers to help inform the R&D team about customer needs and product improvements. Dr. Klotz has extensive knowledge in linear programming, integer programming, and numerical linear algebra for finite precision computing. Using this knowledge, he was able to investigate customer support issues at the source code level and identify potential improvements in CPLEX, both in terms of performance and accuracy of computation.
Before joining IBM, Dr. Klotz was a principal technical support engineer at ILOG, Inc., and a mathematical programming specialist at CPLEX Optimization, Inc.
Dr. Klotz has presented at numerous conferences, workshops, and web seminars and published numerous papers on mathematical optimization. His interests are in all aspects of mathematical programming, with a primary interest in research that can impact mathematical programming software. He obtained a BA in Math and Economics from Oberlin College and a PhD in Operations Research from Stanford University.
Richard Oberdieck
Lead Data Scientist
Richard Oberdieck obtained his BSc and MSc degrees from ETH Zurich in Switzerland (2009-2013), before pursuing a Ph.D. in Chemical Engineering at Imperial College London, UK, which he completed in 2017. In his PhD, he worked on a special class of optimization problems called multi-parametric programming problems, where he discovered fundamental new properties related to these problems, as well as implemented them in a software toolbox. After using his knowledge in mathematical modeling and optimization in the space of renewable energies at the world leader in offshore wind energy, Ørsted A/S, he is now helping companies around the world unlock business value through mathematical optimization as a Technical Account Manager for Gurobi Optimization, LLC.
He has published 1 book, 21 papers and 2 book chapters, has an h-index of 11 and was awarded the FICO Decisions Award 2019 in Optimization, Machine Learning and AI.
Steven Edwards
Product Manager
Dr. Steven Edwards completed his PhD at Monash University in the field of discrete optimization. His thesis was motivated by the scheduling of automated pathology testing systems used for the diagnosis of cancers and infectious diseases. As part of his research, he developed a modeling framework for efficiently solving large-scale optimization problems using constraint programming inspired by existing techniques in boolean satisfiability and mixed-integer programming. After completing his thesis, Steven worked briefly at the Australian Bureau of Statistics on optimization problems in data security before commencing as a Research Fellow in Operations Research at the University of Melbourne.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Senior Mathematical Optimization Specialist
Ed Klotz
Dr. Ed Klotz has over 30 years of experience in the mathematical optimization software industry. He is a technical expert who, over the course of his career, has worked with a wide array of customers to help them solve some of world’s most challenging mathematical optimization problems. In his role as a Senior Mathematical Optimization Specialist on the Gurobi R&D team, Dr. Klotz works closely with our customers to support them in implementing and utilizing mathematical optimization in their organizations. He also interacts heavily with the R&D team based on his experiences with the customers.
Prior to joining Gurobi, Dr. Klotz was a member of the CPLEX development team of IBM. He was involved in product development, customer training, product documentation, and numerous other tasks, with a primary focus on delivering CPLEX customer support and leveraging his experiences with customers to help inform the R&D team about customer needs and product improvements. Dr. Klotz has extensive knowledge in linear programming, integer programming, and numerical linear algebra for finite precision computing. Using this knowledge, he was able to investigate customer support issues at the source code level and identify potential improvements in CPLEX, both in terms of performance and accuracy of computation.
Before joining IBM, Dr. Klotz was a principal technical support engineer at ILOG, Inc., and a mathematical programming specialist at CPLEX Optimization, Inc.
Dr. Klotz has presented at numerous conferences, workshops, and web seminars and published numerous papers on mathematical optimization. His interests are in all aspects of mathematical programming, with a primary interest in research that can impact mathematical programming software. He obtained a BA in Math and Economics from Oberlin College and a PhD in Operations Research from Stanford University.
Lead Data Scientist
Richard Oberdieck
Richard Oberdieck obtained his BSc and MSc degrees from ETH Zurich in Switzerland (2009-2013), before pursuing a Ph.D. in Chemical Engineering at Imperial College London, UK, which he completed in 2017. In his PhD, he worked on a special class of optimization problems called multi-parametric programming problems, where he discovered fundamental new properties related to these problems, as well as implemented them in a software toolbox. After using his knowledge in mathematical modeling and optimization in the space of renewable energies at the world leader in offshore wind energy, Ørsted A/S, he is now helping companies around the world unlock business value through mathematical optimization as a Technical Account Manager for Gurobi Optimization, LLC.
He has published 1 book, 21 papers and 2 book chapters, has an h-index of 11 and was awarded the FICO Decisions Award 2019 in Optimization, Machine Learning and AI.
Product Manager
Steven Edwards
Dr. Steven Edwards completed his PhD at Monash University in the field of discrete optimization. His thesis was motivated by the scheduling of automated pathology testing systems used for the diagnosis of cancers and infectious diseases. As part of his research, he developed a modeling framework for efficiently solving large-scale optimization problems using constraint programming inspired by existing techniques in boolean satisfiability and mixed-integer programming. After completing his thesis, Steven worked briefly at the Australian Bureau of Statistics on optimization problems in data security before commencing as a Research Fellow in Operations Research at the University of Melbourne.
