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Few Topics are:

  • top-down design, divide and conquer
  • Average and worst-case criteria
  • Simple recurrence relations
  • Arrays, lists, stacks, queues, trees, heaps, and graphs,
  • Sorting and searching, matrix algorithms, sorting
  • shortest-path and spanning tree problems,
  • Discrete optimisation algorithms
  • space and run-time requirements, Analytical methods,
  • Theoretical bounds, searching algorithms
  • greedy algorithms , Graph algorithms, depth first and breadth first search
  • sets, matrices,recursion,
  • Divide-and-conquer dynamic programming
  • Nondeterminism, NP-completeness,
  • Approximation algorithms,recursion
  • Fourier transform ordering
  • Arithmetic algorithms ,algebraic algorithms ,graph algorithms ,pattern matching
  • algorithms and data structures
  • algorithmic design paradigms
  • brute force
  • decrease and conquer
  • transform and conquer
  • greedy, dynamic programming
  • iterative improvement
  • trees
  • lists
  • stacks
  • queues
  • hash tables and graph representations
  • general algorithmic problem types
  • sorting, searching, graphs and geometric
  • algorithmic strategies
  • time and space complexity
  • sorting algorithms
  • recurrence relations
  • divide and conquer algorithms
  • greedy algorithms
  • dynamic programming
  • linear programming
  • graph algorithms
  • problems in P and NP, and approximation algorithms
  • algorithm design
  • analysis of correctness and efficiency
  • probabilistic methods
  • advanced data structures
  • Lower bounds
  • NP-completeness, intractability

Complex Topics are:

  • algorithms and analysis
  • Lower bounds
  • sorting and order statistics
  • data structures
  • arithmetic computations
  • the NP-complete problems