Algorithm Complexity and Data Structure Fundamentals Q&A

1. What is recurrence for worst case of QuickSort and what is the time complexity in Worst case?

Recurrence is T(n) = T(n-1) + O(n) and time complexity is O(n^2)

2. Suppose we have a O(n)
time algorithm that finds median of an unsorted array. Now consider a QuickSort implementation where we first find median using the above algorithm, then use median as pivot. What will be the worst case time complexity of this modified QuickSort.

O(nLogn)

3. Given an unsorted array. The array has this property

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Signals, Systems, and 5G Network Fundamentals

Signal Transformation for Continuous-Time Signals

Q1 (a) — Explain the signal transformation needed for transforming the independent variable for continuous-time signals.

Signal transformation changes the independent variable (usually time) to modify or analyze signals. Common transformations include:

  • Time shifting: Shifts the signal by a time constant t₀.
  • Time scaling: Compresses the signal (if a > 1) or expands it (if a < 1).
  • Time reversal: Flips the signal around the vertical axis.

These

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Essential Data Structures and Algorithms Reference: DSA Core Concepts

Lesson 2: Object-Oriented Programming and Linked Lists

OOP Fundamentals

  • Class: The blueprint for creating objects. Object: An instance of a class.
  • Attribute: A variable stored within an object. Method: A function defined within a class.
  • The self keyword refers to the object instance. __init__ is the constructor method.

OOP Example (Python)

class Car:
    def __init__(self, make, model, year):
        self.make = make; self.model = model; self.year = year
    def info(self):
        return f"{self.year}
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Fundamental C Algorithms: Search, Sort, Recursion, and Optimization

Fundamental C Algorithms: Search, Sort, and Optimization

This document presents implementations of several core algorithms in C, including searching, sorting, recursion, and optimization techniques like the Traveling Salesman Problem (TSP) and the Fractional Knapsack problem.

1. Linear Search Algorithm

Linear search is a straightforward method for finding an element within a list. It sequentially checks each element until a match is found or the entire list has been traversed.

C Code for Linear Search

#

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Understanding Recurrent Neural Networks and Their Applications

🧠 Recurrent Neural Network (RNN)
A neural network for sequential data (time series, speech, text).
It has memory of past inputs to affect current output.

Simple: “RNN past data yaad rakh kar next output predict karta hai.”

x1 → x2 → x3 → ... ↓ ↓ ↓ h1 → h2 → h3 → ... ↓ ↓ ↓ y1 y2 y3

Stepwise:
1️⃣ Input – Sequential data (text/audio)
2️⃣ Hidden Layer – Current input + previous hidden state
  Eq: hₜ = f(Wxₜ + Uhₜ₋₁ + b)
3️⃣

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Cloud Computing and Virtualization Fundamentals

Virtualization: Core Concepts and Benefits

Defining Virtualization

Virtualization is the creation of a virtual rather than actual version of something, such as hardware, an operating system, a storage device, or a network device. This process includes splitting a single physical computer into multiple virtual computers (Virtual Machines), each with its own software-based resources: CPU, RAM, hard disk, and Network Interface Card (NIC).

Virtual Machine (VM) Key Features

  • Isolation: The VM’s operating
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