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21
Optimization of Computer Networks : Modeling and Algorithms: a Hands-On Approach.
Published 2016Table of Contents: “…7.1 Introduction -- 7.2 Node Location Problems -- 7.3 Full Topology Design Problems -- 7.4 Multilayer Network Design -- 7.5 Notes and Sources -- 7.6 Exercises -- References -- Part Two: Algorithms -- Chapter 8: Gradient Algorithms in Network Design -- 8.1 Introduction -- 8.2 Convergence Rates -- 8.3 Projected Gradient Methods -- 8.4 Asynchronous and Distributed Algorithm Implementations -- 8.5 Non-Smooth Functions -- 8.6 Stochastic Gradient Methods -- 8.7 Stopping Criteria -- 8.8 Algorithm Design Hints -- 8.9 Notes and Sources -- 8.10 Exercises -- References…”
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22
Graph partitioning and graph clustering : 10th DIMACS Implementation Challenge Workshop, February 13-14, 2012, Georgia Institute of Technology, Atlanta, GA
Published 2013Full text (MFA users only)
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23
Nearest-neighbor methods in learning and vision : theory and practice
Published 2005Table of Contents: “…Clarkson -- Locality-sensitive hashing using stable distributions / Alexandr Andoni [and others] -- New algorithms for efficient high-dimensional nonparametric classification / Ting Liu, Andrew W. …”
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Applications of multi-objective evolutionary algorithms
Published 2004Table of Contents: “…Non-Dominated Sorting Evolution Strategy Algorithm (NSESA)3.3. Case Studies; 3.3.1. Shape Design of a Shielded Reactor; 3.3.2. …”
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Network and discrete location : models, algorithms, and applications
Published 2013Full text (MFA users only)
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3D Shape Analysis : Fundamentals, Theory and Applications.
Published 2018Table of Contents: “…9.6 Summary and Further Reading10 3D Face Recognition; 10.1 Introduction; 10.2 3D Face Recognition Tasks, Challenges and Datasets; 10.3 3D Face Recognition Methods; 10.4 Summary; 11 Object Recognition in 3D Scenes; 11.1 Introduction; 11.2 Surface Registration-Based Object Recognition Methods; 11.3 Machine Learning-Based Object Recognition Methods; 11.4 Summary and Further Reading; 12 3D Shape Retrieval; 12.1 Introduction; 12.2 Benchmarks and Evaluation Criteria; 12.3 Similarity Measures; 12.4 3D Shape Retrieval Algorithms; 12.5 Summary and Further Reading; 13 Cross-domain Retrieval…”
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27
Computer and machine vision : theory, algorithms, practicalities
Published 2012Full text (MFA users only)
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Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms.
Published 2021Full text (MFA users only)
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Meta-heuristic and evolutionary algorithms for engineering optimization
Published 2017Table of Contents: “…Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO) -- Differential evolution (DE) -- Harmony search (HS) -- Shuffled frog-leaping algorithm (SFLA) -- Honey-bee mating optimization (HBMO) -- Invasive weed optimization (IWO) -- Central force optimization (CFO) -- Biogeography-based optimization (BBO) -- Firefly algorithm (FA) -- Gravity search algorithm (GSA) -- Bat algorithm (BA) -- Plant propagation algorithm (PPA) -- Water cycle algorithm (WCA) -- Symbiotic organisms search (SOS) -- Comprehensive evolutionary algorithm (CEA).…”
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30
Algorithms for sample preparation with microfluidic lab-on-chip
Published 2019Table of Contents: “…2.1.3 Generation of Dilution Gradients2.2 Mixing Algorithms for DMFB; 2.3 Droplet Streaming Algorithms; 2.4 Dilution and Mixing Algorithms for CFMB; 2.5 Summary; Chapter 3 -- Multiple Dilution Sample Preparation on Digital Microfluidic Biochips; 3.1 Related Work; 3.2 Tree-pruning-based Dilution Algorithm; 3.2.1 Proposed Methodology; 3.3 Experimental Results; 3.4 Conclusions; Chapter 4 -- Efficient Generation of Dilution Gradients with Digital Microfluidic Biochips; 4.1 Literature Review; 4.2 Linear Gradient; 4.3 Exponential Gradient; 4.4 Complex-shaped Gradients…”
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Genetic and evolutionary computation : medical applications
Published 2010Table of Contents: “…Potok -- Towards an alternative to magnetic resonance imaging for vocal tract shape measurement using the principles of evolution / David M. …”
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Electronic design automation : synthesis, verification, and test
Published 2009Full text (MFA users only)
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Design optimization of fluid machinery : applying computational fluid dynamics and numerical optimization
Published 2019Table of Contents: “…2.2.5.3 Periodic/Cyclic Boundary Conditions2.2.5.4 Symmetry Boundary Conditions; 2.2.6 Moving Reference Frame (MRF); 2.2.7 Verification and Validation; 2.2.8 Commercial CFD Software; 2.2.9 Open Source Codes; 2.2.9.1 OpenFOAM; References; Chapter 3 Optimization Methodology; 3.1 Introduction; 3.1.1 Engineering Optimization Definition; 3.1.2 Design Space; 3.1.3 Design Variables and Objectives; 3.1.4 Optimization Procedure; 3.1.5 Search Algorithm; 3.2 Multi-Objective Optimization (MOO); 3.2.1 Weighted Sum Approach; 3.2.2 Pareto-Optimal Front…”
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Freudian unconscious and cognitive neuroscience : from unconscious fantasies to neural algorithms
Published 2009Full text (MFA users only)
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The burden of choice : recommendations, subversion, and algorithmic culture
Published 2019Full text (MFA users only)
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Adventures in Raspberry Pi
Published 2017Table of Contents: “…Creating Health-Point-Stealing Sprites -- Improving the Movement of the Adventurer Sprite Using if Blocks -- Creating a Game Over Screen -- Ideas for Improvements to Your Game -- Adventure 4 Programming Shapes with Turtle Graphics -- Scratch Turtle Graphics -- Using Pen Down and Pen Up -- Drawing Simple Shapes -- Using "clear" and Setting a Start Point -- Using Variables Instead of Values -- Changing the Size and Colour of the Pen -- Creating Spiral Patterns -- Using User Input to Determine the Number of Sides -- Python Turtle Graphics -- Introducing Python Modules -- The Python 3 Environment and the Interpreter Window -- Using the Turtle Module in Python -- The range Function -- Other Python Turtle Module Commands -- Some Super Spirals -- Further Adventures with Python Turtle -- Adventure 5 Programming with Python -- Getting Set Up for Python -- Python Programming Language -- The IDLE Environment -- Programming in Python: Using a Function -- Using a Text Editor to Create a Code File -- Using the Python time and random Modules -- Python Text Adventure Game -- Getting User Input -- Using Conditionals -- Using a while Loop -- Using a Variable for Health Points -- Putting It All Together -- Defining Functions -- Creating a Main Game Loop -- Continuing Your Python Adventure -- Adventure 6 Programming Minecraft Worlds on the Raspberry Pi -- Getting Started with Minecraft Pi -- Your First Minecraft Pi Python Program -- Using Coordinates in Minecraft Pi -- Finding the Player's Location -- Changing the Player's Location -- Placing a Block -- Placing Multiple Blocks -- Types of Blocks -- Creating a TNT Chain Reaction -- Creating a Diamond Transporter -- Sharing and Cloning Minecraft Pi Programs -- Adventure 7 Coding Music with Sonic Pi -- Getting Started with Sonic Pi -- The Sonic Pi Interface -- Creating Your First Sounds with Sonic Pi.…”
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Turing's vision : the birth of computer science
Published 2016Full text (MFA users only)
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