Search Results - (((((((kant OR wwant) OR arte) OR alter) OR cantor) OR anne) OR wikant) OR hints) algorithms.
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Theory of randomized search heuristics : foundations and recent developments
Published 2011Full text (MFA users only)
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How to guard an art gallery and other discrete mathematical adventures
Published 2009Table of Contents: “…s Formula: Second Proof -- 2.8 Batting Averages and Lattice Points -- 2.9 Three Dimensions and N-largements -- 2.10 Notes and References -- 2.11 Problems -- 3 How to Guard an Art Gallery -- 3.1 The Sunflower Art Gallery -- 3.2 Art Gallery Problems -- 3.3 The Art Gallery Theorem -- 3.4 Colorful Consequences -- 3.5 Triangular and Chromatic Assumptions -- 3.6 Modern Art Galleries -- 3.7 Art Gallery Sketches -- 3.8 Right-Angled Art Galleries -- 3.9 Guarding the Guards -- 3.10 Three Dimensions and the Octoplex…”
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Flowchart and Algorithm Basics : The Art of Programming.
Published 2020Full text (MFA users only)
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Algorithmic Puzzles.
Published 2011Table of Contents: “…-- General strategies for algorithm design -- Analysis techniques -- Easier puzzles (#1 to #50) -- Puzzles of medium difficulty (#51 to #110) -- Harder puzzles (#111 to #150) -- Hints -- Solutions -- References -- Design stragety and analysis index.…”
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Algorithmic composition : a guide to composing music with Nyquist
Published 2013Full text (MFA users only)
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Pathway modeling and algorithm research
Published 2011Table of Contents: “…PATHWAY MODELING AND ALGORITHM RESEARCH; PATHWAY MODELING AND ALGORITHM RESEARCH; Contents; Preface; Biological Pathways and Their Modeling; Abstract; 1. …”
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Structural geology algorithms : vectors and tensors
Published 2012Full text (MFA users only)
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Genome Sequencing Technology and Algorithms.
Published 2007Table of Contents: “…Genome Sequencing Technolog and Algorithms; List of Contributors; Contents; Part I The New DNA Sequencing Technology; 1 An Overview of New DNA Sequencing Technology; 2 Array-Based Pyrosequencing Technology; 3 The Role of Resequencing Arrays in RevolutionizingDNA Sequencing; 4 Polony Sequencing; 5 Genome Sequencing: A Complex Path to PersonalizedMedicine; Part II Genome Sequencing and Fragment Assembly; 6 Overview of Genome Assembly Techniques; 7 Fragment Assembly Algorithms; 8 Assembly for Double-Ended Short-Read SequencingTechnologies; Part III Beyond Conventional Genome Sequencing.…”
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Ensemble methods : foundations and algorithms.
Published 2012Full text (MFA users only)
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Pattern Recognition.
Published 2008Table of Contents: “…Chapter 13 Clustering Algorithms II: Hierarchical AlgorithmsChapter 14 Clustering Algorithms III: Schemes Based on Function Optimization; Chapter 15 Clustering Algorithms IV; Chapter 16 Cluster Validity; Appendix A Hints from Probability and Statistics; Appendix B Linear Algebra Basics; Appendix C Cost Function Optimization; Appendix D Basic Definitions from Linear Systems Theory; Index.…”
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Algorithmic Diagnosis of Symptoms and Signs.
Published 2017Table of Contents: “…Intro; Half Title Page; Title Page; Copyright Page; Preface to the Fourth Edition; Preface to the First Edition; Introduction; Contents; Part 1 Getting the Most out of Your History and Physical Examination; Part 2 Algorithms of Symptoms and Signs; Abdominal Pain, Acute; Abdominal Pain, Chronic Recurrent; Abdominal Rigidity; Abdominal Swelling, Focal; Abdominal Swelling, Generalized; Absent or Diminished Pulse; Acid Phosphatase Elevation; Acidosis (Decreased pH); Alkaline Phosphatase Elevation; Alkalosis (Increased pH); Alopecia; Alterations in Serum Iron; Alteration in Serum Uric Acid.…”
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Optimization of Computer Networks : Modeling and Algorithms: a Hands-On Approach.
Published 2016Table of Contents: “…7.1 Introduction -- 7.2 Node Location Problems -- 7.3 Full Topology Design Problems -- 7.4 Multilayer Network Design -- 7.5 Notes and Sources -- 7.6 Exercises -- References -- Part Two: Algorithms -- Chapter 8: Gradient Algorithms in Network Design -- 8.1 Introduction -- 8.2 Convergence Rates -- 8.3 Projected Gradient Methods -- 8.4 Asynchronous and Distributed Algorithm Implementations -- 8.5 Non-Smooth Functions -- 8.6 Stochastic Gradient Methods -- 8.7 Stopping Criteria -- 8.8 Algorithm Design Hints -- 8.9 Notes and Sources -- 8.10 Exercises -- References…”
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