Interactive explanations
DESIGN AND ANALYSIS OF ALGORITHMS
Design a solution.
Understand its cost.
Learn algorithms through clear definitions, worked examples and interactive traces.
Runnable Python programs
Written revision answers
UNIT 1 · INTRODUCTION
Algorithms and efficiency
Fundamentals of algorithmic problem solving; design strategies; limitations and improvements; basics of time complexity; best, worst and average-case efficiencies; analysis framework; logarithmic, linear, polynomial, exponential and factorial growth.
Includes addition, maximum finding, sequential and binary search, loop counting, expected search cost, growth comparison and Euclid’s GCD. Definitions follow your supplied Unit 1 PDF.
Open the complete Unit 1 notesUNIT 2 · ANALYSIS AND BRUTE FORCE
Count the work. See the pattern.
All 12 pages of your notes: O, Ω, Θ, sum manipulation, nonrecursive and recursive analysis, maximum finding, uniqueness, matrix multiplication, factorial, exponentiation and sequential search.
9 animations and 8 Python examples, with original diagrams and downloadable notes.
Open the complete Unit 2 notes →