Programming for Problem-solving with C: Formulating algorithms for complex problems by Kamaldeep [Paperback]

"Programming for Problem-solving with C: Formulating algorithms for complex problems" by Kamaldeep is a specialized guide aimed at programmers and computer science enthusiasts looking to enhance their problem-solving skills using the C programming language. This book focuses on equipping readers with the ability to formulate algorithms and effectively tackle complex problems through structured programming techniques.

Key features and topics covered in the book include:

1. **Algorithm Formulation**: Comprehensive coverage of algorithm design principles, including problem analysis, algorithm development, and optimization strategies.

2. **C Programming Basics**: A thorough introduction to the C programming language, covering syntax, data types, control structures, functions, and arrays.

3. **Problem-Solving Methodology**: Emphasis on developing a systematic approach to problem-solving, including understanding problem requirements, devising algorithms, and implementing solutions in C.

4. **Data Structures**: Discussions on fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs, along with their implementation in C.

5. **Algorithm Complexity**: Analysis of algorithmic complexity, including time complexity and space complexity, and techniques for evaluating and optimizing algorithms.

6. **Dynamic Programming**: Introduction to dynamic programming techniques for solving complex problems efficiently in C.

7. **Search and Sort Algorithms**: Detailed explanations and implementations of searching and sorting algorithms, such as binary search, merge sort, quick sort, and their application scenarios.

8. **Problem-Solving Examples**: Numerous examples and case studies that demonstrate how to apply C programming and algorithmic techniques to solve real-world problems.

9. **Programming Practices**: Best practices for writing clean, efficient, and maintainable C code, including coding standards, documentation, and debugging techniques.

10. **Advanced Topics**: Coverage of advanced topics in C programming and algorithm design, including recursion, backtracking, and graph algorithms.

"Programming for Problem-solving with C" serves as a practical handbook for learners and practitioners alike who wish to deepen their understanding of algorithmic problem-solving using the C language. It combines theoretical insights with practical examples to provide a comprehensive resource for mastering programming techniques and developing efficient solutions to complex problems.