Pierre Martinon
About Pierre Martinon
Pierre Martinon is a researcher based in Toulouse, France, specializing in numerical methods for optimal control and optimization. He has contributed to the development of the Bocop toolbox and has held research positions at INRIA and Ecole Polytechnique since the mid-2000s.
Work at Inria
Pierre Martinon has been a researcher at Inria since 2007. His work focuses on numerical methods for optimal control and optimization. He has contributed to various projects and initiatives within the organization, leveraging his expertise in computer science and applied mathematics. Inria is known for its research in computer science and applied mathematics, making it a suitable environment for Martinon's research interests.
Work at Ecole Polytechnique
Since 2006, Pierre Martinon has also been a researcher at Ecole Polytechnique. His role involves applying his knowledge in numerical methods and optimization to various research projects. Ecole Polytechnique is a prestigious institution in France, known for its rigorous academic programs and research output, which aligns with Martinon's academic and professional background.
Education and Expertise
Pierre Martinon studied at Toulouse INP, where he pursued a PhD in Computer Science and Applied Mathematics, completing his studies in 2005. Prior to this, he attended ENSEEIHT from 1998 to 2001, earning an engineering degree in the same fields. His educational background provides a strong foundation for his specialization in numerical methods for optimal control and optimization.
Contributions to Bocop Toolbox
Pierre Martinon contributed to the development of the Bocop toolbox, a software designed for solving optimal control problems. This toolbox is utilized in various applications that require advanced computational methods for optimization, showcasing Martinon's involvement in practical software solutions in his field.
Background
Pierre Martinon is based in Toulouse, Occitanie, France. His academic and research career spans several years, with a focus on numerical methods and optimization. His experience in both academic and research institutions reflects his commitment to advancing knowledge in computer science and applied mathematics.