Search Results - (((((((ant OR iskantor) OR wiant) OR data) OR cantor) OR anne) OR halted) OR antiii) algorithms.

Computational Approaches in Cheminformatics and Bioinformatics. by Guha, Rajarshi

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Computing : a Historical and Technical Perspective. by Igarashi, Yoshihide

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Intelligence emerging : adaptivity and search in evolving neural systems by Downing, Keith L.

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An introduction to computational engineering with Matlab by Yang, Xin-She

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Learning Geospatial Analysis with Python - Second Edition. by Lawhead, Joel

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Cryptography 101 : From Theory to Practice. by Oppliger, Rolf

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Insight into Theoretical and Applied Informatics : Introduction to Information Technologies and Computer Science. by Yatsko, Andrzej

Table of Contents: “…1.2.7 Informatics and Economics1.3 Information Theory; 1.3.1 Quantities of Information; 1.3.1.1 Units for Measuring Computer Information; 1.3.1.2 Quantities of Information in Information Theory; 1.3.2 Coding Theory; 1.3.3 Semiotics; 1.3.3.1 Computational Semiotics; 2 Algorithmics; 2.1 The Science of Algorithms; 2.1.1 Algorithm Design; 2.1.2 Algorithmic Complexity Theory; 2.1.3 Algorithm Analysis; 2.2 Data Science (Datalogy); 2.2.1 Raw Data; 2.2.2 Data Structures; 2.2.3 Data Analysis (Data Analytics); 2.2.4 Data Mining; 3 Computer Programming; 3.1 Computer Programming Languages.…”
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Logistic regression models by Hilbe, Joseph

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Machine interpretation of patterns : image analysis and data mining

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Practical Predictive Analytics by Winters, Ralph

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Essential MATLAB for engineers and scientists by Hahn, Brian D.

Table of Contents: “…MATLAB fundamentals -- Program design and algorithm development -- MATLAB functions data import-export utilities -- Logical vectors -- Matrices of numbers arrays of strings -- Introduction to graphics -- Loops -- Errors and pitfalls -- Function M-files -- Vectors as arrays: advanced data structures -- More graphics -- Graphical User Interfaces (GUIs) -- Dynamics systems -- Simulation -- More matrices -- Introduction to numerical methods -- Toolboxes that come with MATLAB (web chapter).…”
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Numerical Methods for Eigenvalue Problems. by Börm, Steffen

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Essential MATLAB for engineers and scientists by Hahn, Brian D., Valentine, Daniel T., 1946-

Table of Contents: “…Introduction -- MATLAB fundamentals -- Program design and algorithm development -- MATLAB functions and data import-export utilities -- Logical vectors -- Matrices and arrays -- Function M-files -- Loops --MATLAB graphics -- Vectors as arrays and other data structures -- Errors and pitfalls -- Dynamical systems -- Simulation -- Introduction to numerical methods -- Signal processing -- SIMULINK® toolbox -- Symbolics toolbox -- Appendix A: Syntax quick reference -- Appendix B: Command and function quick reference --Appendix C: ASCII Character Codes -- Appendix D: Solutions to selected exercises.…”
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Proceedings Of The 5th Asia-pacific Bioinformatics Conference. by Sankoff, David

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Computational number theory : proceedings of the Colloquium on Computational Number Theory held at Kossuth Lajos University, Debrecen (Hungary), September 4-9, 1989

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Candidate Multilinear Maps. by Garg, Sanjam

Table of Contents: “…Survey of Applications -- How Flexible Can We Make Access to Encrypted Data? -- Program Obfuscation -- Other Applications -- 3. …”
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Empirical model building : data, models, and reality by Thompson, James R. (James Robert), 1938-

Table of Contents: “…The Data Augmentation Algorithm; 9.4. The Gibbs Sampler; 9.5. …”
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Molecular and supramolecular information processing : from molecular switches to logic systems

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Computational Seismology : a Practical Introduction. by Igel, Heiner

Table of Contents: “…3.2 Strategies for computational wave propagation3.3 Physical domains and computational meshes; 3.3.1 Dimensionality: 1D, 2D, 2.5D, 3D; 3.3.2 Computational meshes; 3.3.3 Structured (regular) grids; 3.3.4 Unstructured (irregular) grids; 3.3.5 Other meshing concepts; 3.4 The curse of mesh generation; 3.5 Parallel computing; 3.5.1 Physics and parallelism; 3.5.2 Domain decomposition, partitioning; 3.5.3 Hardware and software for parallel algorithms; 3.5.4 Basic hardware architectures; 3.5.5 Parallel programming; 3.5.6 Parallel I/O, data formats, provenance.…”
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Foundations of Probabilistic Logic Programming : Languages, Semantics, Inference and Learning. by Riguzzi, Fabrizio

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