# Marcel Schweitzer > computer scientist **Wikidata**: [Q110064136](https://www.wikidata.org/wiki/Q110064136) **Source**: https://4ort.xyz/entity/marcel-schweitzer ## Summary Marcel Schweitzer is a German computer scientist who received the prestigious Householder Prize in 2017. He earned his doctorate in Natural Sciences from the University of Wuppertal in 2016, completing his research under advisor Andreas Frommer. ## Biography - Born: [date and place not specified in source material] - Nationality: German (inferred from University of Wuppertal affiliation) - Education: Doctor of Natural Sciences, University of Wuppertal (2016) - Known for: Receiving the Householder Prize for contributions in numerical linear algebra - Employer(s): [not specified in source material] - Field(s): Computer science, numerical linear algebra, mathematics ## Contributions Marcel Schweitzer's most recognized contribution is his work in numerical linear algebra, which led to his receipt of the Householder Prize in 2017. This prestigious award recognizes excellence in research related to matrix computations and algorithms. While specific publications or projects are not detailed in the provided source material, his award suggests significant contributions to advancing computational methods in mathematical sciences. The Householder Prize, named after the prominent mathematician Alston S. Householder, is highly regarded in the field of numerical linear algebra and computer science, indicating that Schweitzer's work represents meaningful advancements in solving complex computational problems. ## FAQs ### Q: What is the Householder Prize and why is it significant? A: The Householder Prize is a distinguished award in numerical linear algebra that recognizes outstanding contributions to matrix computations and algorithms. Marcel Schweitzer received this prestigious award in 2017, highlighting his significant impact on computational mathematics. ### Q: Where did Marcel Schweitzer pursue his advanced education? A: Marcel Schweitzer completed his doctorate at the University of Wuppertal, earning a Doctor of Natural Sciences degree in 2016. His doctoral advisor was Professor Andreas Frommer, who specialized in numerical mathematics. ### Q: What professional recognition has Marcel Schweitzer received? A: Marcel Schweitzer's most notable recognition is the Householder Prize, awarded to him in 2017 for his contributions to numerical linear algebra. This award signifies excellence in research related to matrix computations and algorithm development. ### Q: What identifiers link to Marcel Schweitzer's academic work? A: Marcel Schweitzer has several academic identifiers including an mr_author_id (1064558), zbmath_author_id (schweitzer.marcel), google_scholar_author_id (t1jfvMMAAAAJ), and mathematics_genealogy_project_id (279051), which track his contributions across various mathematical databases. ## Why They Matter Marcel Schweitzer matters to the field of computer science and numerical mathematics for his contributions that earned him the Householder Prize, one of the most prestigious recognitions in numerical linear algebra. This award indicates that his work has advanced computational methods for solving complex mathematical problems, likely impacting fields such as scientific computing, data analysis, and algorithm development. By receiving this recognition in 2017, Schweitzer has demonstrated significant expertise in developing or improving mathematical algorithms that enable more efficient computation of matrix operations, which are fundamental to countless applications in science and engineering. His academic path, including his doctorate under Andreas Frommer, suggests he represents a new generation of researchers bridging computer science and mathematics. ## Notable For - Recipient of the Householder Prize in 2017 for excellence in numerical linear algebra - Earned Doctor of Natural Sciences from University of Wuppertal (2016) - Research advised by Professor Andreas Frommer, a prominent numerical mathematician - Maintains multiple academic identifiers across mathematical literature databases - Connected to WikiProject Mathematics, indicating recognized contributions to mathematical sciences ## Body ### Education Marcel Schweitzers completed his doctoral education at the University of Wuppertal, earning a Doctor of Natural Sciences degree in 2016. His doctoral advisor was Professor Andreas Frommer, who is recognized for contributions in numerical mathematics and iterative methods. The specific focus of Schweitzer's doctoral research is not detailed in the provided source material. ### Awards and Recognition Schweitzers most significant professional recognition is his receipt of the Householder Prize in 2017. The Householder Prize is awarded for outstanding contributions to numerical linear algebra, a field that develops algorithms for matrix computations and related problems. The prize was awarded to him as Edgar Solomonik's recipient that year, indicating recognition of his work in computational mathematics. The Householder Prize is named after Alston S. Householder, who made fundamental contributions to matrix theory and numerical analysis. ### Academic Connections Schweitzers academic presence is tracked through multiple identification systems: - MR author ID: 1064558 (Mathematical Reviews) - zbmath author ID: schweitzer.marcel (zbMATH Open) - Google Scholar author ID: t1jfvMMAAAAJ - Mathematics Genealogy Project ID: 279051 These identifiers suggest that Schweitzer has published peer-reviewed research in mathematical and computational journals. His work falls within the scope of WikiProject Mathematics, which tracks and organizes mathematical content. ### Professional Context As a computer scientist with a doctorate in Natural Sciences and a recipient of a mathematics prize, Schweitzers work likely bridges theoretical computer science and computational mathematics. His receipt of the Householder Prize indicates specialization in numerical methods, particularly those involving matrix computations and algorithms. The Householder Prize, established in the field of numerical linear algebra, suggests Schweitzer's contributions may relate to developing more efficient or accurate computational methods for solving mathematical problems that arise in scientific and engineering applications. ## References 1. [Source](https://users.ba.cnr.it/iac/irmanm21/HHXXI/hhprize.html)