Approximation Algorithms: Tackling NP-Hard Problems

 
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Delve into the realm of approximation algorithms to solve NP-hard optimization problems efficiently and effectively. Explore the concept of NP-hardness, approximation ratios, and strategies for finding near-optimal solutions. Understand the trade-offs between accuracy and complexity in algorithm design.

  • Approximation Algorithms
  • NP-Hard Problems
  • Optimization
  • Algorithm Design
  • Complexity

Uploaded on Feb 26, 2025 | 0 Views


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Presentation Transcript


  1. Venture Name

  2. Who we are Brief profile of the team (Name, Education, Work experience, Anything else only if connected with venture)

  3. What problem are we trying to solve Brief description of the problem/need

  4. What is our solution Brief description of the proposed solution product/service

  5. How will it work Brief description of the working model (customer identification and acquisition, market, business model, Revenue )

  6. Others & Us Others in the market How are we different/better/unique?

  7. Current Status Current scale of operation, team size, customers/users, revenue, any partnerships, pilot projects,

  8. Next Steps Short, medium and long term goals (Revenue/Impact, product/service development, Team) Way to reach those milestones

  9. Comments on Innovation andCreativity:Uniquenessandoriginalityofthebusiness idea. Feasibility: Practicalityandsustainabilityofthebusiness plan. MarketPotential:Understandingoftargetmarketandcompetitivelandscape. FinancialViability: Financialplanningandpotentialforprofitability. HowitwillcontributeinSDGGoals.

  10. Thank You

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