Essential Mathematical Concepts for Building Deterministic JavaScript Applications
Buch, Englisch, Format (B × H): 178 mm x 254 mm
ISBN: 979-8-8688-3337-3
Verlag: APRESS L.P.
JavaScript empowers developers to build innovative applications. However, as applications grow in complexity, performance bottlenecks, inefficient data structures, and poorly understood system behavior can make codebases difficult to scale and maintain.
bridges the gap between mathematical theory and practical software development by introducing the core concepts that underpin efficient, reliable, and maintainable applications. Through real-world coding examples and actionable insights, the book demonstrates how mathematical thinking can help developers analyze performance, model complex relationships, manage data efficiently, and reason more effectively about code.
You'll explore Big O notation for understanding algorithmic efficiency, graph theory and tree structures for organizing and navigating data, probabilistic data structures for balancing speed and memory usage, and probability and information theory for making sense of uncertainty and data-driven systems. The book also introduces regex and pattern matching as practical applications of formal logic and pattern recognition in everyday development.
Whether you're building front-end experiences, back-end services, or full-stack applications, this book provides a practical foundation for applying mathematical reasoning to solve common software engineering challenges.
You Will Learn:
- How to use Big O notation to evaluate and optimize application performance
- Practical applications of graph theory for modelling relationships, dependencies, and workflows
- How tree data structures support searching, storage, indexing, and efficient data organization
- Techniques for using probabilistic data structures to improve scalability and resource efficiency
- The fundamentals of probability and information theory for reasoning about uncertainty and learning from data
- How regex and pattern matching apply formal logic to real-world programming problems
Who It's For:
Full-stack developers, software engineers, and programmers who want to strengthen their problem-solving skills and develop a deeper understanding of the mathematical principles behind modern software systems and immediately apply them to everyday development challenges.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part 1: Foundations of Mathematical Thinking.- Chapter 1: Big O Notation: A Mathematical Framework for Performance Analysis.- Part II: Mathematical Data Structures.- Chapter 2: Graph Theory: Analyzing and Optimizing Project Structure.- Chapter 3: Tree Data Structures: Foundations for Storage, Search, and Optimization.- Chapter 4: Probabilistic Data Structures: Speed, Space, and Approximation.- Part III: Reasoning, Inference, and Formal Patterns.- Chapter 5: Probability and Information Theory: Learning from Data.- Chapter 6: Regex and Pattern Matching: Formal Logic in Everyday Code.
