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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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Algorithm Design PNIE

of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design;

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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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Deep Learning on Edge Computing Devices

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep;

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Algorithm and Data Structures

use particular data structure and algorithm design techniques in the context of their own work.The goal of this book is to convey this;

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Travelling Salesman Problem(tsp)Optimization Through Genetic Algorithm

and researchers. Since TSP finds its applications in real world problems viz., VLSI design, Art works, World tours, etc., finding an optimal;

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New Optimization Algorithms and their Applications

>Presents three novel optimization algorithms for engineering Gives various applications and design examples for each algorithm

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Algorithm Design and Applications

Introducing a NEW addition to our growing library of computer science titles, Algorithm Design and Applications, by Michael T. Goodrich;

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Applications of the Topological Derivative Method

technique in engineering applications, such as topology optimization, inverse problems, imaging processing, multi-scale material design and;

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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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Computer Algorithms

, etc. They may also be classified as divide and conquer algorithm, search algorithm, randomized algorithm, etc. depending on the design;

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Programmable Digital Signal Processors: Architecture

Presents the latest developments in the prgramming and design of programmable digital signal processors (PDSPs) with very-long-instruction;

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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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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

swarm optimization, artificial bee colony optimization, and cuckoo search algorithm. The design and analysis of these algorithms is studied by;

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Data Structures and Algorithm Analysis in C++, Thi

With its focus on creating efficient data structures and algorithms, this comprehensive text helps readers understand how to select or;

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Real-Time Heterogeneous Video Transcoding for Low-Power Applications

simulation and experimental results. In addition, the authors present a hardware implementation of the new algorithm using Field Programmable Gate;

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Linear Parameter-Varying Control for Engineering Applications

step-by-step LPV modeling and control design strategies along with an automatic weight-selection algorithm so that engineers can apply state;

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Design for Embedded Image Processing on FPGAs

provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient;

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Pearls of Functional Algorithm Design

Design will appeal to the aspiring functional programmer, students and teachers interested in the principles of algorithm design, and anyone;

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Software Design for Six Sigma

This proposal constitutes an algorithm of design applying the design for six sigma thinking, tools, and philosophy to software design. The;

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Automated Design of Machine Learning and Search Algorithms

This book presents recent advances in automated machine learning (AutoML) and automated algorithm design and indicates the future;

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Learning in Energy-Efficient Neuromorphic Computing - Algorithm and Architecture Co-Design

Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning;

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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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Algorithms In A Nutshell

. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm;

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Beyond the Worst-Case Analysis of Algorithms

There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every;

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