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Algorithm Engineering for Integral and Dynamic Problems

-effectively as possible given a set of constraints, such as minimal performance or the availability of technology. Addressing algorithm engineering;

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Beyond the Algorithm

In Beyond the Algorithm: Qualitative Insights for Gig Work Regulation, Deepa Das Acevedo and a collection of scholars and experts show why;

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Beyond the Algorithm

In Beyond the Algorithm: Qualitative Insights for Gig Work Regulation, Deepa Das Acevedo and a collection of scholars and experts show why;

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Beyond the Worst-Case Analysis of Algorithms

computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on;

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Metaheuristic Optimization

. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm;

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The GLOBAL Optimization Algorithm

This book explores the updated version of the GLOBAL algorithm which contains improvements for a local search algorithm and new Java;

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Design and Analysis of Algorithms

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives;

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Computer Algorithms

input is provided, after which the algorithm proceeds through a succession of finite states to produce a final state and output. Algorithms may;

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Teaching Learning Based Optimization Algorithm

Describing a new optimization algorithm, the Teaching-Learning-Based Optimization (TLBO), in a clear and lucid style, this book;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the;

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The EM Algorithm and Related Statistical Models

Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method for;

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Particle Swarm Optimisation: Classical and Quantum Perspectives

Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters and is computationally simple and easy to;

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Particle Swarm Optimisation: Classical and Quantum Perspectives

Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters and is computationally simple and easy to;

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Improved Scatter Search Algorithm for Predicting Protein Structures

In this book, I present an improved scatter search (SS) algorithm for predicting all-atoms protein structures using the CHARMM22 energy;

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Combinatorial Optimization Problems in Planning and Decision Making

production management systems. It also offers a quick introduction into the theory of PSC-algorithms, which are a new class of efficient methods for;

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A Guide to Algorithm Design

of a new problem. Part I helps readers understand the main design principles and design efficient algorithms. Part II covers;

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A Programmer's Companion to Algorithm Analysis

Until now, no other book examined the gap between the theory of algorithms and the production of software programs. Focusing on practical;

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A Programmer's Companion to Algorithm Analysis

Until now, no other book examined the gap between the theory of algorithms and the production of software programs. Focusing on practical;

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The EM Algorithm and Extensions

of the EM algorithm Complete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition;

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The Everyday Life of an Algorithm

This open access book begins with an algorithm-a set of IF...THEN rules used in the development of a new, ethical, video surveillance;

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Algorithm Design PNIE

Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range;

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Image Reconstruction

, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly under-sampled data are included. The last chapter;

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Algorithm Portfolios

for starting designing and implementing algorithm portfolios. The book familiarizes the reader with algorithm portfolios through current;

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Iterative Hillclimbing Optimization Techniques

iterative algorithm which has a hillclimbing property on the cost function. We then extended the algorithm to hyperspectral image coding. We;

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Applications of Firefly Algorithm and its Variants

The book discusses advantages of the firefly algorithm over other well-known metaheuristic algorithms in various engineering studies. The;

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Real-Time Heterogeneous Video Transcoding for Low-Power Applications

between MPEG-2 to H.264/AVC. The new algorithm achieves 92.8% reduction in the transcoding run time at a price of an acceptable Peak Signal-to;

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