Search Results - (((((((want OR kkantis) OR wants) OR hints) OR cantor) OR anne) OR find) OR wanting) algorithms.

Learning JavaScript data structures and algorithms : understand and implement classic data structures and algorithms using JavaScript by Groner, Loiane

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Standard colorimetry : definitions, algorithms, and software by Oleari, Claudio

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Poems that solve puzzles : the history and science of algorithms by Bleakley, Chris

Table of Contents: “…Cover -- POEMS THAT SOLVE PUZZLES -- Copyright -- Dedication -- Foreword -- About the Author -- Contents -- Introduction -- The Trainee Librarian -- The Algorithm Machine -- 1 Ancient Algorithms -- Etched in Clay -- Uncovered at Last -- Elegance and Beauty -- Finding Primes -- 2 Ever-Expanding Circles -- Wheels Within Wheels -- World Records -- The Art of Reckoning -- Waves Upon Waves -- 3 Computer Dreams -- A Clockwork Computer -- The Turing Machine -- 4 Weather Forecasts -- Numerical Forecasts -- ENIAC -- Monte Carlo -- Computer Forecasts -- Chaos -- Long-Range Forecasts…”
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Learning JavaScript Data Structures and Algorithms : Write complex and powerful JavaScript code using the latest ECMAScript, 3rd Edition. by Groner, Loiane

Table of Contents: “…Using the @@iterator objectArray entries, keys, and values; Using the from method; Using the Array.of method; Using the fill method; Using the copyWithin method; Sorting elements; Custom sorting; Sorting strings; Searching; ECMAScript 2015 -- the find and findIndex methods; ECMAScript 2016 -- using the includes method; Outputting the array into a string; The TypedArray class; Arrays in TypeScript; Summary; Chapter 4: Stacks; Creating a JavaScript data structure and algorithm library; The stack data structure; Creating an array-based Stack class; Pushing elements to the stack.…”
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Engineering an Algorithm for Reducing Variation in Manufacturing Processes. by Steiner, Stefan H.

Table of Contents: “…Material on Enclosed CD-ROM; Figures and Tables; Acknowledgments; Preface; 1 Introduction; PART I Setting the Stage; 2 Describing Processes; 3 Seven Approaches to Variation Reduction; 4 An Algorithm for Reducing Variation; 5 Obtaining Process Knowledge Empirically; PART II Getting Started; 6 Defining a Focused Problem; 7 Checking the Measurement System; 8 Choosing a Working Variation Reduction Approach; PART III Finding a Dominant Cause of Variation; 9 Finding a Dominant Cause Using the Method of Elimination; 10 Investigations to Compare Two Families of Variation.…”
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Combining pattern classifiers : methods and algorithms by Kuncheva, Ludmila I. (Ludmila Ilieva), 1959-

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Self-learning and adaptive algorithms for business applications : a guide to adaptive neuro-fuzzy systems for fuzzy clustering under uncertainty conditions by Hu, Zhengbing, Bodyanskiy, Yevgeniy V., Tyshchenko, Oleksii

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We are data : algorithms and the making of our digital selves by Cheney-Lippold, John

Table of Contents: “…-- Privacy: wanted dead or alive -- Conclusion: ghosts in the machine.…”
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Computational aspects of discrete subgroups of lie groups : Virtual Conference on Computational Aspects of Discrete Subgroups of Lie Groups, June 14-18, 2021, Institute for Computa...

Table of Contents: “…Computational setup -- 8. Finding useful words -- 9. Arithmetic and computational considerations -- 10. …”
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Introduction to protein structure prediction : methods and algorithms

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Biomedical signal analysis : contemporary methods and applications by Theis, Fabian J.

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Freudian unconscious and cognitive neuroscience : from unconscious fantasies to neural algorithms by Talvitie, Vesa

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A guide to creating a successful algorithmic trading strategy by Kaufman, Perry J.

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Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x by Lesmeister, Cory

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

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Adventures in Raspberry Pi by Philbin, Carrie Anne

Table of Contents: “…Programming the Sensors to Find Out the Current Temperature -- Creating Pixel Art -- Creating a Sense HAT Desk Thermometer -- Further Adventures with Cameras and HATs -- Chapter 10 The Big Adventure: Building a Raspberry Pi Jukebox -- An Overview of the Jukebox Project -- What You Will Need -- Part One: Creating the LCD Screen -- Preparing the LCD Screen by Adding Headers -- Mounting the LCD Screen and Wiring Up the Breadboard -- Adding Scripts to Drive the LCD Screen -- Part Two: Downloading and Playing MP3s -- Installing a Media Player and Getting Music Files -- Writing a Jukebox Python Program -- Part Three: Controlling the Jukebox with Buttons -- Connecting the Buttons -- Adapting Your Jukebox Program to Include GPIO Buttons -- Part Four: Displaying Jukebox Information on the LCD Screen -- Finishing Up -- Appendix Where to Go from Here -- Websites -- Clubs -- Inspiring Projects and Tutorials -- Videos -- Books and Magazines -- Glossary -- Index -- EULA.…”
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The mathematica guidebook for numerics by Trott, Michael, Ph. D.

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DataFlow supercomputing essentials : algorithms, applications and implementations by Milutinović, Veljko, Kotlar, Milos, Stojanovic, Marko, Dundic, Igor, Trifunovic, Nemanja (Writer on computing), Babovic, Zoran

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Architectures for computer vision : from algorithm to chip with Verilog by Jeong, Hong

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

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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