Jadhav A., Kashid S. Fundamentals of Algorithms 2023
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Jadhav A., Kashid S. Fundamentals of Algorithms 2023
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Textbook in PDF format
It gives us great pleasure to present a book “Fundamentals of Algorithms” for Computer Science. The main topics have been divided into subtopics for easy understanding. A number of solved examples have been included in the book with their implementation in Python.
In Mathematics or in Computer Science or in other related subjects, algorithm concept is used. Each algorithm is a list of well-defined instructions that completes or executes a given task.
An algorithm defined as a sequence of definite and effective instructions, which terminates with production of correct output with given input. It is a step-by-step instruction for solving a particular task in finite amount of time. Algorithm is an effective method for solving a problem expressed as finite sequence of instructions.
All algorithms must satisfy the following five conditions
1. Input: There are zero or more quantities supplied as input to algorithm.
2. Output: By using inputs, that are extremely supplied an algorithm produce atleast one quantity as output.
3. Definiteness: The instructions used in algorithm must be clear and certain, i.e., unambiguous.
4. Finiteness: An algorithm must terminate after some finite number of steps. For all cases, i.e., every algorithm should have some termination or end-point after finite number of steps.
5. Effectiveness: To complete the task, each instruction must be basic that is human being can trace the instruction by using paper and pencil method.
Data structure is a logical or mathematical model of particular organization of data. The mathematical model explains how the data is stored in memory and which operations are possible on it. Both data structure and algorithm work together. When set of statements do not suggest basic steps to solve the problem, it is called as procedure. For example, a program is always an algorithm except a slight difference that a program need not to be terminate.
UNITI
IntroductiontoAlgorithm
AsymptoticAnalysis
RecurrenceRelations
UNITII
Sorting
Trees
Graphs
UNITIII
AlgorithmDesignTechniques
GreedyAlgorithms
DivideandConquerAlgorithms
DynamicProgramming
Practicals