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Algorithms and Programs

Name: Algorithms and Programs
Brand: Pearson Education
SKU: 9780135887677
Price: 20608 HUF
Availability: PreOrder

Creating, Implementing, and Analyzing Algorithms

Szerző: Eric Braude

Nyelv:

Kötés: Puha kötésű

Kiadó: Pearson Education

Elérhetőség: Könyvújdonság

Megjelenés ismeretlen

20 608 Ft

Bridge the gap between algorithm design and real-world code with a practical, AI-assisted approach b...

Információk a könyvről

Szerző

Eric Braude

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2026

EAN

9780135887677

Enbook ID

50275273

Kiadó

Pearson Education

Teljes leírás

Bridge the gap between algorithm design and real-world code with a practical, AI-assisted approach built for today's developers. Algorithms power modern systems--from flight control and robotics to recommendation engines and AI applications. Algorithms and Programs: An AI-Assisted Approach shows how to clearly define an algorithm's purpose, design a structured outline, translate it into reliable code, and reason about its efficiency and complexity. Rather than relying on traditional pseudocode, this book uses precise algorithm outlines that are easier to understand and directly support correct implementation. This approach bridges the gap between design and code, reducing ambiguity and minimizing errors. Each algorithm is expressed as a sequence of clear, intended outcomes, which naturally define its correctness conditions and support reasoning about invariants and program behavior. This structured method encourages better programming practice, improves reliability, and aligns well with modern AI-assisted development tools. Practical approach to algorithms: Moves beyond traditional pseudocode to clear, structured algorithm outlines that directly translate into reliable code. Bridges theory and real-world programming: Helps learners and engineers connect algorithm design with implementation, correctness, and performance in everyday software development. Makes invariants intuitive and usable: Developed from decades of teaching experience, the book rethinks invariants in a practical, common-sense way that students and practitioners can actually apply. Designed for modern AI-assisted development: Aligns with how programming is done today, enabling AI-checkable algorithm structures that support correctness and reduce errors. Rooted in teaching and real industry experience: Inspired by long-term discussions with students and professional practice, addressing real gaps between academic concepts and industry needs. Strategic AI Thinking: Explore leverage from AI platforms that specify function requirements, outline appropriate algorithms, implement outlines, and inspect them reliably.