Name: Computer Algorithms for MSc 1st Semester Panjab University Chandigarh
Brand: Amit Book Depot
Price: 375 INR
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Computer Algorithms for MSc 1st Semester Panjab University Chandigarh

by Madhurima

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23 Customer Review

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Q1

Is this book aligned with the Panjab University MSc 1st Sem syllabus?

A1

Yes, it is specifically designed for Paper Code: MS – 62, covering all four units as per the official curriculum.
Q2

What are the key topics covered in Unit I?

A2

Unit I covers data structure types, stacks, queues, trees, and foundational algorithm analysis with asymptotic notations.
Q3

Which algorithm design techniques are covered?

A3

The book covers major techniques including Divide and Conquer, Greedy Method, Dynamic Programming, Backtracking, and Branch and Bound.
Q4

Are specific graph algorithms included in the text?

A4

Yes, it includes Prim’s, Kruskal’s, Bellman-Ford, and Floyd’s algorithms for minimum spanning trees and shortest paths.
Q5

Does the book cover the solution to the knapsack problem?

A5

Yes, the knapsack problem is explored in multiple paradigms, including the Greedy method, Dynamic Programming (0/1 Knapsack), and Branch and Bound.
Q6

What is discussed regarding NP-Hard and NP-Complete problems?

A6

Unit IV covers basic concepts, Cook’s Theorem, and examples like the Clique Decision Problem and Job Shop Scheduling.
Q7

Is there coverage of tree data structures and their traversal?

A7

Yes, the book includes a dedicated section on Binary Trees, General Trees, and various methods of tree traversal.
Q8

Does the content include the Traveling Salesperson Problem?

A8

Yes, the Traveling Salesperson Problem is discussed in detail in both the Dynamic Programming and Branch and Bound chapters.
Q9

Which backtracking algorithms are demonstrated in the book?

A9

The book demonstrates classic backtracking problems including the N-Queens problem, Graph Coloring, and finding Hamiltonian Cycles.
Q10

What types of scheduling problems are mentioned in the NP-hard section?

A10

The NP-hard section specifically mentions examples like Scheduling Identical Processors and Job Shop Scheduling.

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Have Doubts Regarding This Product ? Ask Your Question

Q1

Is this book aligned with the Panjab University MSc 1st Sem syllabus?

A1

Yes, it is specifically designed for Paper Code: MS – 62, covering all four units as per the official curriculum.
Q2

What are the key topics covered in Unit I?

A2

Unit I covers data structure types, stacks, queues, trees, and foundational algorithm analysis with asymptotic notations.
Q3

Which algorithm design techniques are covered?

A3

The book covers major techniques including Divide and Conquer, Greedy Method, Dynamic Programming, Backtracking, and Branch and Bound.
Q4

Are specific graph algorithms included in the text?

A4

Yes, it includes Prim’s, Kruskal’s, Bellman-Ford, and Floyd’s algorithms for minimum spanning trees and shortest paths.
Q5

Does the book cover the solution to the knapsack problem?

A5

Yes, the knapsack problem is explored in multiple paradigms, including the Greedy method, Dynamic Programming (0/1 Knapsack), and Branch and Bound.
Q6

What is discussed regarding NP-Hard and NP-Complete problems?

A6

Unit IV covers basic concepts, Cook’s Theorem, and examples like the Clique Decision Problem and Job Shop Scheduling.
Q7

Is there coverage of tree data structures and their traversal?

A7

Yes, the book includes a dedicated section on Binary Trees, General Trees, and various methods of tree traversal.
Q8

Does the content include the Traveling Salesperson Problem?

A8

Yes, the Traveling Salesperson Problem is discussed in detail in both the Dynamic Programming and Branch and Bound chapters.
Q9

Which backtracking algorithms are demonstrated in the book?

A9

The book demonstrates classic backtracking problems including the N-Queens problem, Graph Coloring, and finding Hamiltonian Cycles.
Q10

What types of scheduling problems are mentioned in the NP-hard section?

A10

The NP-hard section specifically mentions examples like Scheduling Identical Processors and Job Shop Scheduling.

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