DAA(Algorithm Design & Analysis) – Detailed Unit-wise Syllabus

(Handles Negative Weights + Detects Negative Cycle – 15–20 Marks Guaranteed!)

(The most frequently asked DP question after Knapsack & MCM – 15–20 marks guaranteed!)

Here is your complete, exam-topper notes for Greedy Methods – the most scoring part of the syllabus! 100% coverage | Diagrams | Proofs | Code | Comparison | Solved Questions

CLASSIC EXAM EXAMPLE (Draw This Tree – 10 Marks!)

(Rare but HIGH-MARKS Greedy Question – 10–15 Marks in University Exams)

This is the only correct mathematical proof why the greedy rule “always improve the component with smallest bᵢ” is optimal.

(Full Exam-Ready Package: Code + Step-by-Step + Graph + Table)

Here are 3 versions – all 100% working, exam-ready, with output!

Prim’s + Kruskal’s Algorithms Full Exam-Ready Package: Code + Step-by-Step + Graph + Solved Question

(15–20 Marks Guaranteed – Most Important Greedy + Graph Question)

MATRIX CHAIN MULTIPLICATION – Full Exam-Ready Notes (15–20 Marks Guaranteed – Most Important DP Question After Knapsack!)

Focus: Dynamic Programming (Most Scoring Part)

Floyd-Warshall Algorithm (Most Important – 15–20 Marks Guaranteed!)

(Backtracking Classic – 15–20 Marks Guaranteed!)

(One of the most important Branch and Bound questions – 15–20 marks in many universities)

(15–25 Marks Guaranteed – Most Important Unit IV Questions!)

(Exactly as asked in University Exams – with complete solution, diagram, and marking scheme)

FULL EXAM-READY NOTES + CODE + SOLVED QUESTIONS

(UNIT V – Most Important 15-Marks Question)

COMPLETE VISUALIZATION OF QUICK SORT PARTITIONS

Here are complete, clean, and easy-to-understand pseudocode for all sorting algorithms covered in Unit I, with short comments and example traces where helpful.

Here are complete, clear, and exam-ready notes on Graph Search Algorithms – the most important ones asked in interviews and university exams (UG/PG).

Here is the clean, standard, and most commonly asked pseudocode for Dijkstra’s Algorithm (Single-Source Shortest Path in graphs with non-negative weights).

Here is a complete, beautiful, and exam-ready package for UNIT I – Introduction to Algorithms with: C code for all sorting algorithms Output screenshots description Comparison table with graphical representation (ASCII + description) Ready to print/copy for your notes!

STEP-BY-STEP SHELL SORT EXAMPLE

Here is a beautiful visual step-by-step drawing of the final Gap=1 (Normal Insertion Sort) phase of Shell Sort using your exact array.

Here is the COMPLETE VISUALIZATION OF ENTIRE SHELL SORT

Let’s run both algorithms on the exact same array and see step-by-step how they behave.

An algorithm is a well-defined, step-by-step procedure to solve a problem in a finite amount of time.

Here is your complete, exam-ready, beautifully organized notes for UNIT II – Advanced Data Structures (8 Lectures)

Everything you need to draw in exam + write C code + solve any question in just 10–15 minutes!

RED-BLACK TREE INSERTION – FULL DETAILED STEP-BY-STEP

RED-BLACK TREE DELETION – FULL DETAILED STEP-BY-STEP

AVL TREE DELETION – FULL DETAILED STEP-BY-STEP

DETAILED LR ROTATION IN AVL TREE – STEP-BY-STEP WITH DIAGRAMS

UNIT III – QUICK SUMMARY TABLE (Draw First in Exam – 8 Marks!)

DYNAMIC PROGRAMMING – 0/1 KNAPSACK