Morley S. The C++ Programmer's Mindset. Learn Computational, Algorithmic,...2025

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Morley S. The C++ Programmer's Mindset. Learn Computational, Algorithmic,...2025

Textbook in PDF format Key benefits. Apply computational thinking to tackle complex C++ challenges. Use abstraction, algorithms, and data structures the C++ way. Build scalable, efficient, and reusable C++ code through real-world projects. Description. Solve complex problems in C++ by learning how to think like a computer scientist. This book introduces computational thinking — a framework for solving problems using decomposition, abstraction, and pattern recognition — and shows you how to apply it using modern C++ features. You'll learn how to break down challenges, choose the right abstractions, and build solutions that are both maintainable and efficient. Through small examples and a large case study, this book guides you from foundational concepts to high-performance applications. You’ll explore reusable templates, algorithms, modularity, and even parallel computing and GPU acceleration. With each chapter, you’ll not only expand your C++ skillset but also refine the way you approach and solve real-world problems. Written by a seasoned research engineer and C++ developer, this book combines practical insight with academic rigor. Whether you're designing algorithms or profiling production code, this book helps you deliver elegant, effective solutions with confidence. Who is this book for? C++ developers, software engineers, and computer science students who want to enhance their problem-solving capabilities and build scalable, maintainable solutions. Basic familiarity with C++ syntax is assumed, making this ideal for intermediate programmers ready to master abstraction and algorithmic thinking. What you will learn. Apply computational thinking to complex C++ problems. Break problems into components using abstraction. Use algorithms and data structures effectively in C++. Design modular and reusable C++ code. Analyze and improve algorithmic performance. Parse, transform, and interpret data in multiple formats. Scale up with concurrency, GPUs, and profiling tools