Programming for Problem-solving with C: Formulating Algorithms for Complex Problems
- 4h 52m
- Dr. Kamaldeep
- BPB Publications
- 2024
This book equips you with the knowledge of fundamentals of C, a powerful and versatile programming language. It extensively explores the building blocks of computers, software, and algorithms, helping the readers gain a comprehensive understanding of how data is manipulated and solutions are designed.
The readers will learn more about fundamental data types like integers, floats, and characters, master operators and expressions for manipulating data efficiently. We will explore control flow statements like if and for to write structured and logical code, and unlock the power of loops for repetitive tasks. As the book progresses, we will conquer advanced topics like recursion, user-defined functions, dynamic memory allocation, expanding coding skills and tackling complex problems with ease.
This book guarantees knowledge beyond merely learning concept, helping you to acquire expertise required for future job roles.
KEY FEATURES
- Comprehensive coverage of C programming fundamentals.
- Clear explanations and engaging examples given in each chapter.
- Designed to help you develop a problem-solving mindset.
WHAT YOU WILL LEARN
- Understand file handling in C for practical application.
- Analyze time and space complexities for optimized algorithm design.
- Navigate decision-making statements and loop structures seamlessly.
- Demonstrate proficiency in array, string, and pointer manipulation.
WHO THIS BOOK IS FOR
This book is meant for students in fields like, computer science or data analysis, seeking a strong C foundation. It can also be utilised by professional engineers, scientists, or developers looking to boost their analytical skills with C.
About the Author
Dr. Kamaldeep is currently serving as an Assistant Professor in the Department of Computer Science and Engineering at the University Institute of Engineering and Technology, Maharshi Dayanand University, located in Rohtak, Haryana, India. With a dedicated tenure that began in 2012, he has accumulated experience in teaching and research. Significant milestones mark his academic journey. He earned his B.Tech in 2009, an M.Tech in 2011, and a Ph.D. in Computer Science and Engineering in 2017 from Maharshi Dayanand University. In his 12 years of teaching and research career, he has actively engaged with undergraduate (UG) and postgraduate (PG) students. He is proficient in guiding M.Tech and Ph.D. candidates and has demonstrated his commitment to academic mentorship by successfully guiding over 50 B.Tech and M.Tech students in their dissertations and projects. Three PhD students successfully submitted their thesis under his guidance. His research interests include Image Steganography, Information Security, Neural Networks, and Machine Learning. Dr. Kamaldeep’s scholarly output is substantial, with an authorship of over 50 articles published in reputable journals and conferences. These contributions are recognized by reputed databases such as Scopus, Web of Science, and SCI, showcasing the impact and relevance of his research in the academic community. Beyond his research endeavours, Dr. Kamaldeep has actively participated in knowledge dissemination. He has delivered expert talks and served as a session chair in national and international conferences, further solidifying his presence and influence in the academic discourse. Dr. Kamaldeep actively participates in national and international conferences, contributing valuable insights to proceedings and book chapters. His dedication is evident in his membership in various international societies, solidifying his standing in the global research community.
In this Book
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The Computer
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The CPU and the Memory
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The Computer Software
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The Number System
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Problem-Solving Techniques
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Fundamentals of C
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Operators and Expressions
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Decision-Making Statements
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Loop
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Array
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String
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Function
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Recursion
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Structure and Union
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Searching and Sorting
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Pointers
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The Console Input-Output Functions
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Preprocessor
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File Handling in C
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Time and Space Complexity