Search Results - (((((((ant OR wkantin) OR semantics) OR wind) OR cantor) OR anne) OR plane) OR hints) algorithms.

Generative design by Agkathidis, Asterios, 1974-

Table 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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Iaeng transactions on electrical engineering. Vol. 1, Special issue of the International Multiconference of Engineers and Computer Scientists 2012

Table of Contents: “…Fiedler -- An integrated approach to power quality problems in micro-grids / Tsao-Tsung Ma -- Discriminating among inrush current, external short circuit and internal winding fault in power transformer using coefficient of DWT / Jittiphong Klomjit and Atthapol Ngaopitakkul -- Classification of temporal characteristics of epileptic EEG subbands based on the local maxima / S. …”
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Inverse problems of vibrational spectroscopy by Yagola, A. G.

Table of Contents: “…Angle between a bond and the plane of an atomic triple -- 4.3.5. Angle between two planes (torsion coordinate) -- 4.3.6. …”
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Analysis of biological data : a soft computing approach

Table of Contents: “…Feature selection for cancer classification using ant colony optimization and support vector machines / A. …”
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New autonomous systems by Cardon, Alain, 1946-, Itmi, Mhamed

Table of Contents: “…Intro -- Table of Contents -- Title -- Copyright -- Introduction -- List of Algorithms -- 1 Systems and their Design -- 1.1. Modeling systems -- 1.2. …”
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Visual Data Mining : The VisMiner Approach. by Anderson, Russell K.

Table of Contents: “…Regression Analysis -- The Regression Model -- Correlation and Causation -- Algorithms for Regression Analysis -- Assessing Regression Model Performance -- Model Validity -- Looking Beyond R2 -- Polynomial Regression -- Artificial Neural Networks for Regression Analysis -- Dataset Preparation -- Tutorial -- A Regression Model for Home Appraisal -- Modeling with the Right Set of Observations -- Exercise 6.1 -- ANN Modeling -- The Advantage of ANN Regression -- Top-Down Attribute Selection -- Issues in Model Interpretation -- Model Validation -- Model Application -- Summary…”
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Advances in structures analysis : special topic volume with invited peer reviewed papers only

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What Every Teacher Should Know About Effective Teaching Strategies. by Tileston, Donna E. Walker

Table of Contents: “…-- Why the Way We Teach is Important -- The Linguistic Modality -- The Nonlinguistic Modality -- The Affective Modality -- Semantic Memory -- Episodic Memory -- Procedural Memory -- Automatic Memory -- Emotional Memory -- Chapter 2 -- Choosing Effective Teaching Strategies for Beginning Activities -- Great Beginnings -- The Self-System…”
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DSP with Python Programming. by Charbit, Maurice

Table of Contents: “…Gaussian linear case: Kalman algorithm; 3.5. Discrete finite Markov case; 4 Monte-Carlo Methods; 4.1. …”
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Handbook on semidefinite, conic and polynomial optimization

Table of Contents: “…Lasserre and Mihai Putinar -- Self-regular interior-point methods for semidefinite optimization / Maziar Salahi and Tamás Terlaky -- Elementary optimality conditions for nonlinear SDPs / Florian Jarre -- Recent progress in interior-point methods: cutting-plane algorithms and warm starts / Alexander Engau -- Exploiting sparsity in SDP relaxation of polynomial optimization problems / Sunyoung Kim and Masakazu Kojima -- Block coordinate descent methods for semidefinite programming / Zaiwen Wen, Donald Goldfarb, and Katya Scheinberg -- Projection methods in conic optimization / Didier Henrion and Jérôme Malick -- SDP relaxations for non-commutative polynomial optimization / Miguel Navascués, Stefano Pironio, and Antonio Acín -- Semidefinite programming and constraint programming / Willem-Jan van Hoeve -- The state-of-the-art in conic optimization software / Hans D. …”
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Digital Signal Processing and Applications with the OMAP - L138 EXperimenter. by Reay, Donald S.

Table of Contents: “…5.2 Development of the FFT Algorithm with Radix-2 -- 5.3 Decimation-In-Frequency FFT Algorithm with Radix-2 -- 5.4 Decimation-In-Time FFT Algorithm with RADIX-2 -- 5.4.1 Reordered Sequences in the Radix-2 FFT and Bit-Reversed Addressing -- 5.5 Decimation-In-Frequency FFT Algorithm with Radix-4 -- 5.6 Inverse Fast Fourier Transform -- 5.7 Programming Examples Using C Code -- 5.7.1 Frame- or Block-Based Processing -- 5.7.2 Fast Convolution -- References -- 6. …”
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Numerical Methods in Contact Mechanics. by Yastrebov, Vladislav A.

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Technologies for Engineering Manufacturing Systems Control in Closed Loop. by Preuße, Sebastian

Table of Contents: “…Intro; 1 Introduction; 2 Basic Principles; 2.1 Technologies for studying Behavior; 2.2 Plants; 2.3 Controllers; 2.3.1 IEC 61131-3; 2.3.2 IEC 61499-1; 2.4 System Models; 2.4.1 Syntax; 2.4.2 Semantics; 2.5 Basics of Specifications; 2.5.1 Computation Tree Logic; 2.5.2 Extended Computation Tree Logic; 2.5.3 Timed Computation Tree Logic; 2.5.4 Symbolic Timing Diagrams; 2.6 Closed-Loop Composition; 2.7 Model Checking; 2.7.1 General Remarks; 2.7.2 Model Checking Algorithm; 2.8 Summary; 3 Formal Modeling of Plant, Controller, and the Closed Loop; 3.1 Demonstration Example; 3.2 Formal Plant Modeling.…”
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Rarefied Gas Dynamics : Theory and Simulations. by Shizgal, Bernie D.

Table of Contents: “…Mathematical Techniques""; ""Plane Waves in a Multispeed Discrete Velocity Gas""; ""Fluctuations for a Many-Particle System""; ""Deterministic Method for Solving the Boltzmann Equation""; ""Implicit Methods for Kinetic Equations""; ""Theoretical Comparison of Stochastic Particle Methods in Rarefied Gas Dynamics""…”
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Advances in intelligent structure and vibration control : selected, peer reviewed papers from the International Conference on Intelligent Structure and Vibration Control (ISVC 2012...

Table of Contents: “…Influences of Heat Treatment on Spinning Process with Large Thinning Rate and Performance of 30CrMnSiAThe DNA Genetic Algorithm Applied for Solving Optimal Placement of Sensors; Research on an Improved Cellular Automata Model; Control Algorithm Research of Electric Actuator Based on Switched Reluctance Motor; Study on Structure Including Interface Based on Interface Stress Element Method; A Probability Assessment Method for Degradation of Bridge Power MOSFET Circuit Based on Common Turn-On State…”
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Focus on artificial neural networks

Table of Contents: “…ARTIFICIAL NEURAL NETWORKS (ANNS) -- 3. MICROEMULSIONS -- 4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS -- 4.1. …”
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Monte Carlo methods and applications : proceedings of the 8th IMACS Seminar on Monte Carlo Methods, August 29-September 2, 2011, Borovets, Bulgaria

Table of Contents: “…9.3 General Description of the Coupled Atmosphere Fire Modeling and WRF-Fire9.4 Wind Simulation Approach; 9.5 Conclusion; 10 Wireless Sensor Network Layout; 10.1 Introduction; 10.2 Wireless Sensor Network Layout Problem; 10.3 ACO for WSN Layout Problem; 10.4 Experimental Results; 10.5 Conclusion; 11 A Two-Dimensional Lorentzian Distribution for an Atomic Force Microscopy Simulator; 11.1 Introduction; 11.2 Modeling Oxidation Kinetics; 11.3 Development of the Lorentzian Model; 11.3.1 Algorithm for the Gaussian Model; 11.3.2 Development of the Lorentzian Model; 11.4 Conclusion.…”
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Knowledge discovery for business information systems

Table of Contents: “…Problem Description -- 3. The FUP Algorithm for the Insertion Only Case -- 4. The FUP Algorithm for the Deletions Only Case -- 5. …”
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Metaheuristics for vehicle routing problems. by Labadie, Nacima

Table of Contents: “…Memetic algorithm; 4.1.3. Memetic algorithm with population management; 4.1.4. …”
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Industrial control systems

Table of Contents: “…EXTRACTIVE FERMENTATION PROCESS FOR BIOETHANOL PRODUCTION ; 3. PLANT MODEL BASED ON ANN ; 3.1. ANN Configurations.…”
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