Search Results - (((((((ant OR want) OR art) OR partd) OR cantor) OR anne) OR when) OR cantan) algorithms.

Design of Ultra Wideband Power Transfer Networks : Real Frequency Techniques and Road Maps for Practical Designs. by Yarman, Binboga Siddik

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Can markets compute equilibria? by Monroe, Hunter K.

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Agent-based computing

Table of Contents: “…Analysis of Algorithm -- 2.1.1. Chain-Like Agent Structure -- 2.1.2. …”
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A companion to rhetoric and rhetorical criticism

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Python unlocked : become more fluent in Python--learn strategies and techniques for smart and high-performance Python programming by Tigeraniya, Arun

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Sharing economy and big data analytics by Sedkaoui, Soraya, Khelfaoui, Mounia

Table of Contents: “…Not Without Big Data Algorithms. Linear Regression -- Classification Algorithms -- Cluster Analysis -- Conclusion -- References -- Index -- Other titles from iSTE in Information Systems, Web and Pervasive Computing.…”
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Advances in Knowledge-Based and Intelligent Engineering and Information Systems by Frydman, Claudia

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Urodynamics : a quick pocket guide by Vignoli, Giancarlo

Table of Contents: “…The framework of basic science -- Key symptoms analysis and diagnostic algorithms -- Physical examination and laboratory evaluation -- Urodynamic testing: when and which -- Voiding diary and Pad testing -- Non-invasive urodynamics -- Conventional urodynamics-conventional urodynamics in pediatric age -- Electromyogtrahy -- Urethral profilometry -- Videourodynamics -- Ambulatory urodynamics -- Urodynamics of upper urinary tract.…”
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Mount Sinai expert guides. Hepatology

Table of Contents: “…Cover; Title page; Copyright page; Contents; List of Contributors; Series Foreword; Preface; Abbreviation List; About the Companion Website; PART 1: Hepatology; CHAPTER 1: Approach to the Patient with Abnormal Liver Tests; Section 1: Background; Definition of disease; Disease classification; Etiology; Pathology/pathogenesis; Section 2: Prevention; Section 3: Diagnosis; Typical presentation; Clinical diagnosis; Laboratory diagnosis; Diagnostic algorithm; Potential pitfalls/common errors made regarding diagnosis of disease; Section 4: Treatment; When to hospitalize…”
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Building Machine Learning Systems with Python. by Richert, Willi

Table of Contents: “…Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Python Machine Learning; Machine learning and Python -- the dream team; What the book will teach you (and what it will not); What to do when you are stuck; Getting started; Introduction to NumPy, SciPy, and Matplotlib; Installing Python; Chewing data efficiently with NumPy and intelligently with SciPy; Learning NumPy; Indexing; Handling non-existing values; Comparing runtime behaviors; Learning SciPy; Our first (tiny) machine learning application.…”
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Optimization techniques and applications with examples by Yang, Xin-She

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Future Farming. by Shukla, Praveen Kumar

Table of Contents: “…PROPOSED METHODOLOGY -- Pre-processing -- Leaf Image from Plants -- Segmentation Model Using Improved Canny Algorithm -- Steps of Improved Canny Algorithm -- Leaf Image Feature Selection Using Hybrid Black Widow Optimization Algorithm with Mayfly Optimization Algorithm (BWO-MA) -- Pseudo-Code of the Hybrid (BWO-MA) Algorithm -- Output: Objective Function's -RMSE -- Leaf Image Classification Using (BWO-MA) with ANN -- Hyper-Parameter Tuning With (BWO-MA) -- RESULT AND DISCUSSION -- Dataset Description -- Evaluation & Results -- CONCLUSION -- REFERENCES…”
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Integrated and collaborative product development environment : technologies and implementations by Li, W. D.

Table of Contents: “…5.4 Experimental Results5.4.1 Sample parts; 5.4.2 Computation results; 5.4.3 Comparisons of constraint handling methods; 5.4.4 Algorithm implementation; 5.5 Summary; 6. Collaborative Computer-Aided Design -- State-of-the-Art; 6.1 Introduction; 6.2 Visualisation-based Collaborative Systems; 6.2.1 3D representations for Web applications; 6.2.2 System architectures and implementation strategies; 6.3 Co-design Collaborative Systems; 6.3.1 System architectures; 6.3.2 Design coordination and team management; 6.3.3 Optimised feature and assembly-based representations.…”
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Modern optimization methods for science, engineering and technology

Table of Contents: “…Implementing the traveling salesman problem using a modified ant colony optimization algorithm -- 5.1. ACO and candidate list -- 5.2. …”
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Figuring it out : entertaining encounters with everyday math by Crato, Nuno

Table of Contents: “…. -- The dinner table algorithm -- Cutting the Christmas cake -- Oranges and computers -- When two and two don't make four -- Getting more intelligent every day -- The other lane always goes faster -- Shoelaces and neckties -- Number puzzles -- Tossing a coin -- The switch -- Eubulides, the heap and the Euro -- The Earth is Round. -- How GPS works -- Gear wheels -- February 29 -- The Nonius scale -- Pedro Nunes' map -- Lighthouse geometry -- Asteroids and least squares -- The useful man and the genius -- Secret Affairs. -- Alice and Bob -- Inviolate cybersecrets -- Quantum cryptography -- The FBI wavelet -- The enigma machine -- Art and Geometry. -- The Vitruvian man -- The golden number -- The geometry of A4 paper sizes -- The strange worlds of Escher -- Escher and the Möbius strip -- Picasso, Einstein and the fourth dimension -- Pollock's fractals -- Voronoi diagrams -- The Platonic solids -- Pythagorean mosquitoes -- The most beautiful of all -- Mathematical Objects. -- The power of math -- Doubts in the realm of certainty -- When chance enhances reliability -- The difficulty of chance -- Conjectures and proofs -- Mr. …”
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OpenCV with Python by example : build real-world computer vision applications and develop cool demos using OpenCV for Python by Joshi, Prateek

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Energy Psychology : Explorations at the Interface of Energy, Cognition, Behavior, and Health. by Gallo, Fred P.

Table of Contents: “…Manual Muscle Testing and KinesiologyApplied Kinesiology Offshoots; Empirical Research on Manual Muscle Testing; Muscle Testing Proficiency; Integrity and Muscle Testing; Therapy and Diagnosis; Self-Testing; Therapeutic Algorithms vs. Causal Diagnostics; Energy Psychology and Manual Muscle Testing; Abuses of Manual Muscle Testing and Algorithms; Manual Muscle Testing and Intuition; Unwarranted Uses; When We're Stumped; Systemic Manual Muscle Testing.…”
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Fast sequential Monte Carlo methods for counting and optimization by Rubinstein, Reuven Y.

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Applications of digital signal processing to audio and acoustics

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Evolutionary optimization

Table of Contents: “…Cover -- Contents -- Preface -- Contributing Authors -- Part I Introduction -- 1 Conventional Optimization Techniques -- 1 Classifying Optimization Models -- 2 Linear Programming -- 3 Goal Programming -- 4 Integer Programming -- 5 Nonlinear Programming -- 6 Simulation -- 7 Further Reading -- 2 Evolutionary Computation -- 1 What Is Evolutionary Computation -- 2 A Brief Overview of Evolutionary Computation -- 3 Evolutionary Algorithm and Generate-and-Test Search Algorithm -- 4 Search Operators -- 5 Summary -- Part II Single Objective Optimization -- 3 Evolutionary Algorithms and Constrained Optimization -- 1 Introduction -- 2 General considerations -- 3 Numerical optimization -- 4 Final Remarks -- 4 Constrained Evolutionary Optimization -- 1 Introduction -- 2 The Penalty Function Method -- 3 Stochastic Ranking -- 4 Global Competitive Ranking -- 5 How Penalty Methods Work -- 6 Experimental Study -- 7 Conclusion -- Appendix: Test Function Suite -- Part III Multi-Objective Optimization -- 5 Evolutionary Multiobjective Optimization -- 1 Introduction -- 2 Definitions -- 3 Historical Roots -- 4 A Quick Survey of EMOO Approaches -- 5 Current Research -- 6 Future Research Paths -- 7 Summary -- 6 MEA for Engineering Shape Design -- 1 Introduction -- 2 Multi-Objective Optimization and Pareto-Optimality -- 3 Elitist Non-dominated Sorting GA (NSGA-II) -- 4 Hybrid Approach -- 5 Optimal Shape Design -- 6 Simulation Results -- 7 Conclusion -- 7 Assessment Methodologies for MEAs -- 1 Introduction -- 2 Assessment Methodologies -- 3 Discussion -- 4 Comparing Two Algorithms: An Example -- 5 Conclusions and Future Research Paths -- Part IV Hybrid Algorithms -- 8 Hybrid Genetic Algorithms -- 1 Introduction -- 2 Hybridizing GAs with Local Improvement Procedures -- 3 Adaptive Memory GA's -- 4 Summary -- 9 Combining choices of heuristics -- 1 Introduction -- 2 GAs and parameterised algorithms -- 3 Job Shop Scheduling -- 4 Scheduling chicken catching -- 5 Timetabling -- 6 Discussion and future directions -- 10 Nonlinear Constrained Optimization -- 1 Introduction -- 2 Previous Work -- 3 A General Framework to look for SPdn -- 4 Experimental Results -- 5 Conclusions -- Part V Parameter Selection in EAs -- 11 Parameter Selection -- 1 Introduction -- 2 Parameter tuning vs. parameter control -- 3 An example -- 4 Classification of Control Techniques -- 5 Various forms of control -- 6 Discussion -- Part VI Application of EAs to Practical Problems -- 12 Design of Production Facilities -- 1 Introduction -- 2 Design for Material Flow When the Number of I/O Points is Unconstrained -- 3 Design for Material Flow for a Single I/O Point -- 4 Considering Intradepartmental Flow -- 5 Material Handling System Design -- 6 Concluding Remarks -- 13 Virtual Population and Acceleration Techniques -- 1 Introduction -- 2 Concept of Virtual Population -- 3 Solution Acceleration Techniques -- 4 Accelerated GA and Acceleration Sche.…”
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