Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (43) Arrow Down
Filter Results: (43) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (528)
    • Faculty Publications  (43)

    Show Results For

    • All HBS Web  (528)
      • Faculty Publications  (43)

      Computer ScienceRemove Computer Science →

      ← Page 3 of 43 Results

      Are you looking for?

      →Search All HBS Web
      • April 1993 (Revised June 1993)
      • Supplement

      General Dynamics and Computer Sciences Corporation: Outsourcing the IS Function (D)

      By: F. Warren McFarlan and Katherine Seger
      Designed to be handed out after discussion of the (C) case. View Details
      Keywords: Job Cuts and Outsourcing
      Citation
      Purchase
      Related
      McFarlan, F. Warren, and Katherine Seger. "General Dynamics and Computer Sciences Corporation: Outsourcing the IS Function (D)." Harvard Business School Supplement 193-147, April 1993. (Revised June 1993.)
      • Teaching Interest

      Great Theorems of Microeconomic Theory

      By: Jerry R. Green
      This course covers the field of microeconomics as seen through the lens of the "great theorems" that have determined its evolution since WWII. During that time period the entire field of economics has changed. It is now described in terms of advanced mathematics, much... View Details
      • Forthcoming
      • Article

      Slowly Varying Regression Under Sparsity

      By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
      We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
      Keywords: Mathematical Methods; Analytics and Data Science
      Citation
      Find at Harvard
      Read Now
      Purchase
      Related
      Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression Under Sparsity." Operations Research (forthcoming). (Pre-published online March 27, 2024.)
      • ←
      • 1
      • 2
      • 3

      Are you looking for?

      →Search All HBS Web
      ǁ
      Campus Map
      Harvard Business School
      Soldiers Field
      Boston, MA 02163
      →Map & Directions
      →More Contact Information
      • Make a Gift
      • Site Map
      • Jobs
      • Harvard University
      • Trademarks
      • Policies
      • Accessibility
      • Digital Accessibility
      Copyright © President & Fellows of Harvard College.