Search Results - (((((((anti OR find) OR santis) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.

Discrete Mathematics for Computer Science : An Example-Based Introduction. by Fortney, Jon Pierre

Table of Contents: “…Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- CHAPTER 1: Introduction to Algorithms -- 1.1. WHAT ARE ALGORITHMS? -- 1.2. CONTROL STRUCTURES -- 1.3. …”
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Introduction to Mathematical Optimization : From Linear Programming to Metaheuristics. by Yang, Xin-She

Table of Contents: “…Norms and Hessian Matrices""; ""2.1 Vector and Matrix Norms""; ""2.2 Eigenvalues and Eigenvectors""; ""2.3 Spectral Radius of Matrices""; ""2.4 Hessian Matrix""; ""2.5 Convexity""; ""3. Root-Finding Algorithms""; ""3.1 Simple Iterations""; ""3.2 Bisection Method""; ""3.3 Newtonâ€?…”
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The Finite Element Method : a Practical Course. by Liu, G. R.

Table of Contents: “…3.4.3.3 On other means of construct shape functions3.4.4 Properties of the shape functions; 3.4.5 Formulation of finite element equations in local coordinate system; 3.4.6 Coordinate transformation; 3.4.7 Assembly of global FE equation; 3.4.8 Imposition of displacement constraints; 3.4.9 Solving the global FE equation; 3.5 Static analysis; 3.6 Analysis of free vibration (eigenvalue analysis); 3.7 Transient response; 3.7.1 Central difference algorithm; 3.7.2 Newmark's method (Newmark, 1959); 3.8 Remarks; 3.8.1 Summary of shape function properties.…”
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Diabetes and cardiovascular disease : a guide to clinical management by Paneni, Francesco, Cosentino, Francesco

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Data mining techniques : for marketing, sales, and customer relationship management by Berry, Michael J. A.

Table of Contents: “…-- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics : data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic cluster detection -- Knowing when to worry : hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.…”
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Robotics : science and systems IV

Table of Contents: “…Preface; Organizing Committee; Program Committee; Sponsors; Multi-Sensor Lane Finding in Urban Road Networks; Laser and Vision Based Outdoor Object Mapping; Fast Probabilistic Labeling of City Maps; Clustering Sensor Data for Terrain Identification using a Windowless Algorithm; Distributed Localization of Modular Robot Ensembles; Controlling Shapes of Ensembles of Robots of Finite Size with Nonholonomic Constraints; Stochastic Recruitment; Prior Data and Kernel Conditional Random Fields for Obstacle Detection; SARSOP…”
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Parallel computing : technology trends

Table of Contents: “…Mitigating Performance and Progress Variability in Iterative Asynchronous Algorithms -- Learning-Based Load Balancing for Massively Parallel Simulations of Hot Fusion Plasmas…”
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Space division multiple access for wireless local area networks by Vandenameele, Patrick

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Computational text analysis for functional genomics and bioinformatics by Raychaudhuri, Soumya

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Clinical Guide to Cardiology. by Camm, Christian Fielder

Table of Contents: “…Intro -- Clinical Guide to Cardiology -- Contents -- Contributors -- Acronyms and Abbreviations -- About the Companion Website -- PART 1 Examination Techniques -- 1 Examination Techniques -- 1.1 Common conditions to be looked for on the examination -- 1.2 Clinical examination -- peripheries -- 1.3 Clinical examination -- the praecordium -- 1.4 How to present your findings -- Safety first approach -- Ward-round based -- 1.5 Eponymous signs and symptoms -- PART 2 Approach to Presenting Complaints -- 2 Chest Pain -- 2.1 Definition -- 2.2 Diagnostic algorithm -- 2.3 Differentials list…”
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An introduction to computational engineering with Matlab by Yang, Xin-She

Table of Contents: “…Optimization in Engineering -- 12.1 Introduction -- 12.2 Bioinspired Algorithms -- 12.2.1 Genetic Algorithms -- 12.2.2 Neural Networks…”
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Bioinformatics and Functional Genomics. by Pevsner, Jonathan

Table of Contents: “…BLAST SEARCH STRATEGIES -- USING BLAST FOR GENE DISCOVERY: FIND-A-GENE -- PERSPECTIVE -- PITFALLS -- ADVICE FOR STUDENTS -- WEB RESOURCES -- DISCUSSION QUESTIONS -- SELF-TEST QUIZ -- SUGGESTED READING -- REFERENCES -- CHAPTER 5 Advanced Database Searching -- INTRODUCTION -- SPECIALIZED BLAST SITES -- FINDING DISTANTLY RELATED PROTEINS: POSITION-SPECIFIC ITERATED BLAST (PSI-BLAST) AND DELTA-BLAST -- PROFILE SEARCHES: HIDDEN MARKOV MODELS -- BLAST-LIKE ALIGNMENT TOOLS TO SEARCH GENOMIC DNA RAPIDLY -- ALIGNING NEXT-GENERATION SEQUENCE (NGS) READS TO A REFERENCE GENOME -- PERSPECTIVE -- PITFALLS…”
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Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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Chemical engineering and material properties III : selected, peer reviewed papers from the 2014 4th International Symposium on Chemical Engineering and Material Properties (ISCEMP...

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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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Biological small angle scattering : theory and practice by Lattman, Eaton E. (Eaton Edward), 1940-, Grant, Thomas D. (Staff scientist), Snell, Edward H.

Table of Contents: “…3.6 Summary4. Shape Reconstructions from Small Angle Scattering Data; 4.1 Calculating Scattering Profiles from Three-Dimensional Models; 4.1.1 Debye Equation; 4.1.2 Gaining a Feel for the Spherical Harmonic Function; 4.1.3 Spherical Harmonic Representation of Envelopes; 4.1.4 Expansion of the Structure Factor Equation in Spherical Harmonics; 4.1.5 Zernicke Polynomial Expansion; 4.1.6 Solvent Considerations; 4.2 Ab Initio Modeling; 4.2.1 Modeling by Simple Shapes; 4.2.2 Simple Model Examples; 4.2.3 Envelope Fitting Using Analytical Functions…”
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Bayesian Analysis with Python. by Osvaldo Martin

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Kaplan's clinical hypertension by Kaplan, Norman M., 1931-2020, Victor, Ronald G., Flynn, Joseph T.

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Datafied society : studying culture through data

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Trading systems and methods by Kaufman, Perry J.

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