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281
Graph Partitioning.
Published 2013Table of Contents: “…Hendrickson-Leland coarsening algorithm; 2.3.4. The Heavy Edge Matching (HEM) algorithm; 2.4. …”
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282
Emerging engineering approaches and applications : selected, peer reviewed papers from the 2011 International Conference on Information Engineering for Mechanics and Materials, Aug...
Published 2011Table of Contents: “…A Hierarchical Structure of Service-Oriented Manufacturing ModeStudy of Combination Algorithm in Partitioning Manufacture Technology; The Machinability of MAR-M247 Superalloy; Chapter 3: Computational Methods for Engineering; The BP Network Classification Leafminer-Infected Leaves Based on the Fractal Dimension; An Evaluation Survey of Score Normalization in Multibiometric Systems; Non-Line-of-Sight Error Mitigation in Wireless Communication Systems; Information Delay Protocol Using Non-Orthogonal Quantum States; A New Algorithm of Image Encryption Based on 3D Arnold Cat…”
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283
A practical guide to error-control coding using Matlab
Published 2010Full text (MFA users only)
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284
Hardness of Approximation Between P and NP
Published 2019Full text (MFA users only)
Electronic eBook -
285
Nonlinear systems and optimization for the chemical engineer : solving numerical problems
Published 2013Table of Contents: “…Nonlinear Systems and Optimization for the Chemical Engineer: Solving Numerical Problems; Contents; Preface; 1 Function Root-Finding; 1.1 Introduction; 1.2 Substitution Algorithms; 1.3 Bolzano's Algorithm; 1.4 Function Approximation; 1.4.1 Newton's Method; 1.4.2 The Secant Method; 1.4.3 Regula Falsi Method; 1.4.4 Muller's Method or Parabolic Interpolation; 1.4.5 Hyperbolic Interpolation Method; 1.4.6 Inverse Polynomial Interpolation Method; 1.4.7 Inverse Rational Interpolation Method; 1.5 Use of a Multiprocessor Machine with a Known Interval of Uncertainty.…”
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286
Wireless Sensor and Ad Hoc Networks Under Diversified Network Scenarios.
Published 2012Full text (MFA users only)
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287
Informatics for Materials Science and Engineering : Data-driven Discovery for Accelerated Experimentation and Application.
Published 2013Table of Contents: “…Dimensionality Reduction Methods: Algorithms, Advantages, and Disadvantages; 3.1 Principal Component Analysis (PCA); PCA Algorithm; 3.2 Isomap; Isomap Algorithm; 3.3 Locally Linear Embedding; LLE Algorithm; 3.4 Hessian LLE; hLLE Algorithm; 4. …”
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288
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289
Tapas in Experimental Mathematics.
Published 2008Table of Contents: “…""Contents""; ""Preface""; ""Two dimensional directed lattice walks with boundaries""; ""Computer-assisted discovery and proof""; ""On the collection of integers that index the fixed points of maps on the space of rational functions""; ""Questionable claims found in Ramanujan's lost notebook""; ""Partition polynomials: Asymptotics and zeros""; ""Hypergeometric functions related to series acceleration formulas""; ""Using integer relations algorithms for finding relationships among functions""; ""Conjecturing the optimal order of the components of the Li/Keiper constants""…”
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290
Generative design
Published 2015Table of Contents: “…Intro; 1.0 Introduction to Generative Design; 2.0 Continuous Surfaces; 3.0 Modularity and Accumulation; 4.0 Deformation and Subtraction; 5.0 Algorithmic Patterns; 6.0 Triangulation ; 7.0 Conclusion: The Digital Vs Physical Debate ; Bibliography ; Index; Picture Credits; Acknowledgements; 1.1 Design methods in architecture: A brief review; 1.2 Generative form-finding processes; 1.3 The approach of this book; 2.1 Soft mesh; 2.2 Double-curved shells; 2.3 Hyper paraboloids; 3.1 Interlocking units; 3.2 Irregular units; 4.1 Twisted block; 4.2 Porous space; 5.1 Tessellated planes…”
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291
Advances in time series forecasting. Volume 2
Published 2017Table of Contents: “…INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. …”
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292
Automatic Text Summarization
Published 2014Table of Contents: “…State-of-the-art approaches; 3.4. Latent semantic analysis; 3.5. Graph-based approaches; 3.6. …”
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293
Lectures in real geometry
Published 1996Table of Contents: “…Foreword -- Introduction -- Basic algorithms in real algebraic geometry and their complexity: from Sturmâ€?…”
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294
Infectious diseases in pediatric otolaryngology : a practical guide
Published 2016Full text (MFA users only)
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295
Atlas of multiparametric prostate MRI : with PI-RADS approach and anatomic-MRI-pathological correlation
Published 2018Full text (MFA users only)
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296
PRINCIPLES OF QUANTUM ARTIFICIAL INTELLIGENCE.
Published 2013Table of Contents: “…Computation; 2.1 Entscheidungsproblem; 2.1.1 Cantor's diagonal argument; 2.1.2 Reductio ad absurdum; 2.2 Complexity Theory; 2.2.1 Decision problems; 2.2.2 P and NP; 2.3 Church-Turing Thesis; 2.3.1 Church-Turing-Deutsch principle; 2.4 Computers; 2.4.1 Analog computers; 2.4.2 Digital computers; 2.4.3 Von Neumann architecture; 3. …”
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297
Machine Learning Solutions : Expert techniques to tackle complex machine learning problems using Python.
Published 2018Table of Contents: “…Cover; Copyright; Foreword; Contributors; Table of Contents; Preface; Chapter 1: Credit Risk Modeling; Introducing the problem statement; Understanding the dataset; Understanding attributes of the dataset; Data analysis; Data preprocessing; Basic data analysis followed by data preprocessing; Number of dependents; Feature engineering for the baseline model; Finding out Feature importance; Selecting machine learning algorithms; K-Nearest Neighbor (KNN); Logistic regression; AdaBoost; GradientBoosting; RandomForest; Training the baseline model; Understanding the testing matrix.…”
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298
Creating wicked students : designing courses for a complex world
Published 2018Full text (MFA users only)
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299
Fractional order analysis : theory, methods and applications
Published 2020Full text (MFA users only)
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300
Aggregating Dialectology, Typology, and Register Analysis : Linguistic Variation in Text and Speech
Published 2014Table of Contents: “…Kretzschmar -- A weakly supervised multivariate approach to the study of language variation / Sascha Diwersy, Stefan Evert, and Stella Neumann -- Semantic weighting mechanisms in scalable lexical sociolectometry / Tom Ruette, Dirk Geeraerts, Yves Peirsman and Dirk Speelman -- Temperature in the word space : Sense exploration of temperature expressions using word-space modelling / Maria Koptjevskaja-Tamm and Magnus Sahlgren -- The perfect map : Investigating the cross-linguistic distribution of TAME categories in a parallel corpus / Östen Dahl -- Explorations into variation across Slavic : Taking a bottom-up approach / Ruprecht von Waldenfels -- Where Alice fell into : Motion events from a parallel corpus / Annemarie Verkerk -- Algorithmic typology and going from known to similar unknown categories within and across languages / Bernhard Wälchli -- Inducing place distinctions of consonants from their distribution in words / Thomas Mayer -- Laws of language and text in quantitative and synergetic linguistics / Reinhard Köhler.…”
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