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  1. Richard Manning Karp (born January 3, 1935) is an American computer scientist and computational theorist at the University of California, Berkeley. He is most notable for his research in the theory of algorithms , for which he received a Turing Award in 1985, The Benjamin Franklin Medal in Computer and Cognitive Science in 2004 , and ...

  2. Richard Manning Karp (Boston, 3 de janeiro de 1935) é um cientista da computação e teórico computacional da Universidade da California, Berkeley, reconhecido pela sua pesquisa sobre teoria dos algoritmos, pelo qual recebeu um Prêmio Turing em 1985, Medalha Benjamin Franklin em Computação e Ciência Cognitiva em 2004, e o ...

  3. Richard M. Karp. 50 Years of Integer Programming 1958-2008: From the Early Years to the State …. Proceedings of the 2001 conference on Applications, technologies …. D Culler, R Karp, D Patterson, A Sahay, KE Schauser, E Santos, ... Proceedings of the fourth ACM SIGPLAN symposium on Principles and practice ….

  4. From 1988 to 1995 and 1999 to the present he has been a Research Scientist at the International Computer Science Institute in Berkeley. His current activities center on algorithmic methods in genomics and computer networking. He has supervised thirty-six Ph.D. dissertations.

  5. 1 de mai. de 2024 · Richard Karp, American mathematician and computer scientist and winner of the 1985 A.M. Turing Award, the highest honor in computer science, for ‘his continuing contributions to the theory of algorithms.’. Learn more about Karp’s life and career, including his other awards.

    • William L. Hosch
  6. Richard Karp is a renowned computer scientist and the founding director of the Simons Institute for the Theory of Computing. He has made groundbreaking contributions to combinatorial algorithms, parallel computing, and computational complexity theory.

  7. Richard Karp is a renowned computer scientist and bioengineer who has made significant contributions to the theory of computation and its applications. He is the author of several publications on linear programming, molecular biology, and genetic networks.