SKU/Artículo: AMZ-B0GJDFY8KS
Applied Algorithms for Efficient Computing: Design, Optimization, and Performance Analysis Using Real-World Data Structures
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.46 kg
0.46 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Stop guessing—start engineering algorithms that run fast at scale. Applied Algorithms for Efficient Computing bridges theory and practice, showing you how to design, optimize, and validate high-performance solutions with real-world data structures and measurable performance analysis.Why this book?If you're tired of textbook abstractions that don't ship, this book delivers hands-on, production-minded strategies for algorithm design and analysis. Learn how to choose the right structure, model costs beyond Big-O, and turn benchmarks into clear optimization wins.What you'll learn?Build cache-aware, memory-efficient data structures that minimize latencySelect algorithms by workload, constraints, and performance profilesProfile, benchmark, and optimize hot paths with data-driven tuningApply graph, string, and numeric algorithms to production-scale datasetsTranslate complexity theory into actionable performance improvementsWork through end-to-end case studies: streaming, search, and schedulingInside the workflowModel: Define goals, constraints, and input characteristicsDesign: Match algorithms and data structures to access patternsMeasure: Benchmark time, space, and scalability with realistic loadsOptimize: Remove bottlenecks using locality, batching, and parallelismWho it's for?Software engineers, data engineers, and advanced students who need applied algorithms that perform reliably in real systems—cloud, backend, analytics, and beyond.Build faster software now. Master optimization techniques, validate results, and deploy solutions that scale. Add this practical guide to your toolkit and start turning theory into performance today.
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AR$60.740
49% OFF
AR$31.151
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