Search Results - (((((((want OR cases) OR frantic) OR markant) OR cantor) OR anne) OR shared) OR hints) algorithms.

  1. 81

    Simulating copulas : stochastic models, sampling algorithms and applications by Mai, Jan-Frederik

    Published 2012
    Table of Contents: “…The general Marshall-Olkin copula. 3.2. The exchangeable case. 3.3. The extendible case -- 4. Elliptical copulas. 4.1. …”
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  2. 82

    Handbook of Satisfiability : Handbook of Satisfiability. by Biere, A.

    Published 2009
    Table of Contents: “…Chapter 3. Complete Algorithms3.1 Introduction; 3.2 Technical Preliminaries; 3.3 Satisfiability by Existential Quantification; 3.4 Satisfiability by Inference Rules; 3.5 Satisfiability by Search: The DPLL Algorithm; 3.6 Satisfiability by Combining Search and Inference; 3.7 Conclusions; References; Chapter 4. …”
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  3. 83

    Online stochastic combinatorial optimization by Van Hentenryck, Pascal

    Published 2006
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  4. 84

    Resources utilization and productivity enhancement case studies by Mital, Anil, Pennathur, Arunkumar

    Published 2015
    Table of Contents: “…A disassembly algorithm to maximize resource utilization: a case study / Anoop Desai and Anil Mital -- 3. …”
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    Machine learning for computer and cyber security : principles, algorithms, and practices

    Published 2019
    Table of Contents: “…Metaheuristic Algorithms-based Feature Selection Approach for Intrusion Detection -- 9. …”
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  7. 87

    Turing's vision : the birth of computer science by Bernhardt, Chris

    Published 2016
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  8. 88

    Adventures in Raspberry Pi by Philbin, Carrie Anne

    Published 2017
    Table 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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    Heuristics in analytics : a practical perspective of what influences our analytical world by Reis Pinheiro, Carlos Andre, 1940-, McNeill, Fiona

    Published 2014
    Table of Contents: “…Chapter 3: The Heuristic Approach and Why We Use It Heuristics in Computing; Heuristic Problem-Solving Methods; Genetic Algorithms: A Formal Heuristic Approach; Foundation of Genetic Algorithms; Initialization; Selection; Reproduction; Termination; Pseudo-Code Algorithm; Benefits of Genetic Algorithms; Influences in Competitive Industries; Genetic Algorithms Solving Business Problems; Summary; Chapter 4: The Analytical Approach; Introduction to Analytical Modeling; The Competitive-Intelligence Cycle; Data; Information; Knowledge; Intelligence; Experience; Summary.…”
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    Learning predictive analytics with python : gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python by Kumar, Ashish

    Published 2016
    Table of Contents: “…Various methods of importing data in PythonCase 1 -- reading a dataset using the read_csv method; The read_csv method; Use cases of the read_csv method; Case 2 -- reading a dataset using the open method of Python; Reading a dataset line by line; Changing the delimiter of a dataset; Case 3 -- reading data from a URL; Case 4 -- miscellaneous cases; Reading from an .xls or .xlsx file; Writing to a CSV or Excel file; Basics -- summary, dimensions, structure; Handling missing values; Checking for missing values; What constitutes missing data?…”
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  15. 95

    Spatial Evolutionary Modeling. by Krzanowski, Roman M.

    Published 2001
    Table of Contents: “…Foreword; Contents; Contributors; Part I: Evolutionary Algorithms: An Introduction; 1 Concepts of Evolutionary Modeling and Evolutionary Algorithms; Part II: Spatial Evolutionary Modeling: Algorithms and Models; 2 Modeling Spatial Phenomena; Part III: Spatial Evolutionary Algorithms: Applications; 3 Beyond Data: Handling Spatial and Analytical Contexts with Genetics-Based Machine Learning; 4 A Genetic Algorithm to Design Optimal Patch Configurations Using Raster Data Structures; 5 Designing Genetic Algorithms to Solve GIS Problems; 6 Evolutionary Modeling of Routes: The Case of Road Design.…”
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  16. 96

    Handbook of Markov chain Monte Carlo

    Published 2011
    Table of Contents: “…Foundations, methodology, and algorithms.…”
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    Pancreatology : a clinical casebook

    Published 2017
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