1: Explain the Monte Carlo method and its applications in algorithm design.
2: What is the concept of approximation algorithms, and when are they used?
3: Discuss the trade-offs between time complexity and space complexity in algorithms.
4: What is a greedy algorithm, and under what conditions does it guarantee an optimal solution?
5: Describe the Bellman-Ford algorithm and its applications to graphs with negative weights.
6: Explain the concept of the dynamic programming paradigm and its key principles.
7: How do you solve the traveling salesman problem using dynamic programming?
8: What are FPT (Fixed Parameter Tractable) algorithms, and how do they differ from traditional algorithms?
9: Discuss the significance of polynomial-time reductions in complexity theory.
10: Explain the concept of linear programming and its use in optimization problems.
C is a general-purpose programming language that is widely used for system programming and application development.
C++ is a high-level programming language that supports object-oriented, procedural, and generic programming paradigms.
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A linked list is a linear data structure where each element is a separate object, and elements are linked using pointers.
A stack is a linear data structure that follows the Last In First Out (LIFO) principle, where elements are added and removed from the top.
Strings are sequences of characters used to store and manipulate text in programming, offering various operations for data handling.
Computer Networking refers to the practice of connecting computers and devices to share resources and information.
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Theory of Computation deals with understanding the capabilities and limitations of computers in solving problems.
HTML (HyperText Markup Language) is the standard markup language for documents designed to be displayed in a web browser.
The Internet of Things (IoT) is a network of interconnected devices that communicate and exchange data with one another.
